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aria-current="page">3 </a> </li> </ul> </nav> <ol class="breathe-horizontal" start="1"> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2502.05032">arXiv:2502.05032</a> <span>&nbsp;[<a href="https://arxiv.org/pdf/2502.05032">pdf</a>, <a href="https://arxiv.org/format/2502.05032">other</a>]&nbsp;</span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="Machine Learning">cs.LG</span> </div> </div> <p class="title is-5 mathjax"> News about Global North considered Truthful! The Geo-political Veracity Gradient in Global South News </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/?searchtype=author&amp;query=Mandava%2C+S">Sujit Mandava</a>, <a href="/search/?searchtype=author&amp;query=P%2C+D">Deepak P</a>, <a href="/search/?searchtype=author&amp;query=Bhadra%2C+S">Sahely Bhadra</a> </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="2502.05032v1-abstract-short" style="display: inline;"> While there has been much research into developing AI techniques for fake news detection aided by various benchmark datasets, it has often been pointed out that fake news in different geo-political regions traces different contours. In this work we uncover, through analytical arguments and empirical evidence, the existence of an important characteristic in news originating from the Global South vi&hellip; <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2502.05032v1-abstract-full').style.display = 'inline'; document.getElementById('2502.05032v1-abstract-short').style.display = 'none';">&#9661; More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2502.05032v1-abstract-full" style="display: none;"> While there has been much research into developing AI techniques for fake news detection aided by various benchmark datasets, it has often been pointed out that fake news in different geo-political regions traces different contours. In this work we uncover, through analytical arguments and empirical evidence, the existence of an important characteristic in news originating from the Global South viz., the geo-political veracity gradient. In particular, we show that Global South news about topics from Global North -- such as news from an Indian news agency on US elections -- tend to be less likely to be fake. Observing through the prism of the political economy of fake news creation, we posit that this pattern could be due to the relative lack of monetarily aligned incentives in producing fake news about a different region than the regional remit of the audience. We provide empirical evidence for this from benchmark datasets. We also empirically analyze the consequences of this effect in applying AI-based fake news detection models for fake news AI trained on one region within another regional context. We locate our work within emerging critical scholarship on geo-political biases within AI in general, particularly with AI usage in fake news identification; we hope our insight into the geo-political veracity gradient could help steer fake news AI scholarship towards positively impacting Global South societies. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2502.05032v1-abstract-full').style.display = 'none'; document.getElementById('2502.05032v1-abstract-short').style.display = 'inline';">&#9651; Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 7 February, 2025; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> February 2025. </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2412.20366">arXiv:2412.20366</a> <span>&nbsp;[<a href="https://arxiv.org/pdf/2412.20366">pdf</a>, <a href="https://arxiv.org/format/2412.20366">other</a>]&nbsp;</span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="Information Retrieval">cs.IR</span> </div> </div> <p class="title is-5 mathjax"> Introducing Semantic Capability in LinkedIn&#39;s Content Search Engine </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/?searchtype=author&amp;query=Yang%2C+X">Xin Yang</a>, <a href="/search/?searchtype=author&amp;query=Zheng%2C+R">Rachel Zheng</a>, <a href="/search/?searchtype=author&amp;query=Mohan%2C+M">Madhumitha Mohan</a>, <a href="/search/?searchtype=author&amp;query=Bhadra%2C+S">Sonali Bhadra</a>, <a href="/search/?searchtype=author&amp;query=Bhatt%2C+P">Pansul Bhatt</a>, <a href="/search/?searchtype=author&amp;query=Lingyu"> Lingyu</a>, <a href="/search/?searchtype=author&amp;query=Zhang"> Zhang</a>, <a href="/search/?searchtype=author&amp;query=Gupta%2C+R">Rupesh Gupta</a> </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="2412.20366v2-abstract-short" style="display: inline;"> In the past, most search queries issued to a search engine were short and simple. A keyword based search engine was able to answer such queries quite well. However, members are now developing the habit of issuing long and complex natural language queries. Answering such queries requires evolution of a search engine to have semantic capability. In this paper we present the design of LinkedIn&#39;s new&hellip; <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2412.20366v2-abstract-full').style.display = 'inline'; document.getElementById('2412.20366v2-abstract-short').style.display = 'none';">&#9661; More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2412.20366v2-abstract-full" style="display: none;"> In the past, most search queries issued to a search engine were short and simple. A keyword based search engine was able to answer such queries quite well. However, members are now developing the habit of issuing long and complex natural language queries. Answering such queries requires evolution of a search engine to have semantic capability. In this paper we present the design of LinkedIn&#39;s new content search engine with semantic capability, and its impact on metrics. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2412.20366v2-abstract-full').style.display = 'none'; document.getElementById('2412.20366v2-abstract-short').style.display = 'inline';">&#9651; Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 2 January, 2025; <span class="has-text-black-bis has-text-weight-semibold">v1</span> submitted 29 December, 2024; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> December 2024. </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2411.15326">arXiv:2411.15326</a> <span>&nbsp;[<a href="https://arxiv.org/pdf/2411.15326">pdf</a>, <a href="https://arxiv.org/format/2411.15326">other</a>]&nbsp;</span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="Methodology">stat.ME</span> </div> </div> <p class="title is-5 mathjax"> Scalar-on-Shape Regression Models for Functional Data Analysis </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/?searchtype=author&amp;query=Bhadra%2C+S">Sayan Bhadra</a>, <a href="/search/?searchtype=author&amp;query=Srivastava%2C+A">Anuj Srivastava</a> </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="2411.15326v1-abstract-short" style="display: inline;"> Functional data contains two components: shape (or amplitude) and phase. This paper focuses on a branch of functional data analysis (FDA), namely Shape-Based FDA, that isolates and focuses on shapes of functions. Specifically, this paper focuses on Scalar-on-Shape (ScoSh) regression models that incorporate the shapes of predictor functions and discard their phases. This aspect sets ScoSh models ap&hellip; <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2411.15326v1-abstract-full').style.display = 'inline'; document.getElementById('2411.15326v1-abstract-short').style.display = 'none';">&#9661; More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2411.15326v1-abstract-full" style="display: none;"> Functional data contains two components: shape (or amplitude) and phase. This paper focuses on a branch of functional data analysis (FDA), namely Shape-Based FDA, that isolates and focuses on shapes of functions. Specifically, this paper focuses on Scalar-on-Shape (ScoSh) regression models that incorporate the shapes of predictor functions and discard their phases. This aspect sets ScoSh models apart from the traditional Scalar-on-Function (ScoF) regression models that incorporate full predictor functions. ScoSh is motivated by object data analysis, {\it, e.g.}, for neuro-anatomical objects, where object morphologies are relevant and their parameterizations are arbitrary. ScoSh also differs from methods that arbitrarily pre-register data and uses it in subsequent analysis. In contrast, ScoSh models perform registration during regression, using the (non-parametric) Fisher-Rao inner product and nonlinear index functions to capture complex predictor-response relationships. This formulation results in novel concepts of {\it regression phase} and {\it regression mean} of functions. Regression phases are time-warpings of predictor functions that optimize prediction errors, and regression means are optimal regression coefficients. We demonstrate practical applications of the ScoSh model using extensive simulated and real-data examples, including predicting COVID outcomes when daily rate curves are predictors. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2411.15326v1-abstract-full').style.display = 'none'; document.getElementById('2411.15326v1-abstract-short').style.display = 'inline';">&#9651; Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 22 November, 2024; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> November 2024. </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2410.23863">arXiv:2410.23863</a> <span>&nbsp;[<a href="https://arxiv.org/pdf/2410.23863">pdf</a>, <a href="https://arxiv.org/format/2410.23863">other</a>]&nbsp;</span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="Soft Condensed Matter">cond-mat.soft</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Statistical Mechanics">cond-mat.stat-mech</span> </div> </div> <p class="title is-5 mathjax"> Lever rule violation and pressure imbalance in a driven granular system </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/?searchtype=author&amp;query=Das%2C+S">Soumen Das</a>, <a href="/search/?searchtype=author&amp;query=Sane%2C+A">Anit Sane</a>, <a href="/search/?searchtype=author&amp;query=Bhadra%2C+S">Satyanu Bhadra</a>, <a href="/search/?searchtype=author&amp;query=Ghosh%2C+S">Shankar Ghosh</a>, <a href="/search/?searchtype=author&amp;query=Granek%2C+O">Omer Granek</a>, <a href="/search/?searchtype=author&amp;query=Kafri%2C+Y">Yariv Kafri</a>, <a href="/search/?searchtype=author&amp;query=Levine%2C+D">Dov Levine</a> </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="2410.23863v1-abstract-short" style="display: inline;"> We study a monolayer of metal balls under periodic chiral driving in the horizontal plane. Energy dissipation occurs in this system via (i) inelastic collisions and (ii) frictional interaction with the substrate. We show that below a density-dependent critical drive, the system phase separates into a fluid phase coexisting with a solid phase. Unlike ordinary coexistence, however, the system does n&hellip; <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2410.23863v1-abstract-full').style.display = 'inline'; document.getElementById('2410.23863v1-abstract-short').style.display = 'none';">&#9661; More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2410.23863v1-abstract-full" style="display: none;"> We study a monolayer of metal balls under periodic chiral driving in the horizontal plane. Energy dissipation occurs in this system via (i) inelastic collisions and (ii) frictional interaction with the substrate. We show that below a density-dependent critical drive, the system phase separates into a fluid phase coexisting with a solid phase. Unlike ordinary coexistence, however, the system does not obey the lever rule, as the fluid-phase density depends on the overall particle density. Additionally, the pressure is discontinuous across the fluid-solid interface, accompanied by a chiral edge current at the interface. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2410.23863v1-abstract-full').style.display = 'none'; document.getElementById('2410.23863v1-abstract-short').style.display = 'inline';">&#9651; Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 31 October, 2024; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> October 2024. </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2410.07555">arXiv:2410.07555</a> <span>&nbsp;[<a href="https://arxiv.org/pdf/2410.07555">pdf</a>, <a href="https://arxiv.org/format/2410.07555">other</a>]&nbsp;</span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="Methodology">stat.ME</span> </div> </div> <p class="title is-5 mathjax"> A regression framework for studying relationships among attributes under network interference </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/?searchtype=author&amp;query=Fritz%2C+C">Cornelius Fritz</a>, <a href="/search/?searchtype=author&amp;query=Schweinberger%2C+M">Michael Schweinberger</a>, <a href="/search/?searchtype=author&amp;query=Bhadra%2C+S">Subhankar Bhadra</a>, <a href="/search/?searchtype=author&amp;query=Hunter%2C+D+R">David R. Hunter</a> </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="2410.07555v1-abstract-short" style="display: inline;"> To understand how the interconnected and interdependent world of the twenty-first century operates and make model-based predictions, joint probability models for networks and interdependent outcomes are needed. We propose a comprehensive regression framework for networks and interdependent outcomes with multiple advantages, including interpretability, scalability, and provable theoretical guarante&hellip; <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2410.07555v1-abstract-full').style.display = 'inline'; document.getElementById('2410.07555v1-abstract-short').style.display = 'none';">&#9661; More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2410.07555v1-abstract-full" style="display: none;"> To understand how the interconnected and interdependent world of the twenty-first century operates and make model-based predictions, joint probability models for networks and interdependent outcomes are needed. We propose a comprehensive regression framework for networks and interdependent outcomes with multiple advantages, including interpretability, scalability, and provable theoretical guarantees. The regression framework can be used for studying relationships among attributes of connected units and captures complex dependencies among connections and attributes, while retaining the virtues of linear regression, logistic regression, and other regression models by being interpretable and widely applicable. On the computational side, we show that the regression framework is amenable to scalable statistical computing based on convex optimization of pseudo-likelihoods using minorization-maximization methods. On the theoretical side, we establish convergence rates for pseudo-likelihood estimators based on a single observation of dependent connections and attributes. We demonstrate the regression framework using simulations and an application to hate speech on the social media platform X in the six months preceding the insurrection at the U.S. Capitol on January 6, 2021. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2410.07555v1-abstract-full').style.display = 'none'; document.getElementById('2410.07555v1-abstract-short').style.display = 'inline';">&#9651; Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 9 October, 2024; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> October 2024. </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2405.15445">arXiv:2405.15445</a> <span>&nbsp;[<a href="https://arxiv.org/pdf/2405.15445">pdf</a>, <a href="https://arxiv.org/format/2405.15445">other</a>]&nbsp;</span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="Soft Condensed Matter">cond-mat.soft</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Fluid Dynamics">physics.flu-dyn</span> </div> <div class="is-inline-block" style="margin-left: 0.5rem"> <div class="tags has-addons"> <span class="tag is-dark is-size-7">doi</span> <span class="tag is-light is-size-7"><a class="" href="https://doi.org/10.1017/jfm.2024.524">10.1017/jfm.2024.524 <i class="fa fa-external-link" aria-hidden="true"></i></a></span> </div> </div> </div> <p class="title is-5 mathjax"> Cracking of submerged beds </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/?searchtype=author&amp;query=Bhadra%2C+S">Satyanu Bhadra</a>, <a href="/search/?searchtype=author&amp;query=Sane%2C+A">Anit Sane</a>, <a href="/search/?searchtype=author&amp;query=Ghosh%2C+A">Akash Ghosh</a>, <a href="/search/?searchtype=author&amp;query=Ghosh%2C+S">Shankar Ghosh</a>, <a href="/search/?searchtype=author&amp;query=Sahu%2C+K+C">Kirti Chandra Sahu</a> </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="2405.15445v1-abstract-short" style="display: inline;"> We investigate the phenomena of crater formation and gas release caused by projectile impact on underwater beds, which occurs in many natural, geophysical, and industrial applications. The bed in our experiment is constructed of hydrophobic particles, which trap a substantial amount of air in its pores. In contrast to dry beds, the air-water interface in a submerged bed generates a granular skin t&hellip; <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2405.15445v1-abstract-full').style.display = 'inline'; document.getElementById('2405.15445v1-abstract-short').style.display = 'none';">&#9661; More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2405.15445v1-abstract-full" style="display: none;"> We investigate the phenomena of crater formation and gas release caused by projectile impact on underwater beds, which occurs in many natural, geophysical, and industrial applications. The bed in our experiment is constructed of hydrophobic particles, which trap a substantial amount of air in its pores. In contrast to dry beds, the air-water interface in a submerged bed generates a granular skin that provides rigidity to the medium by producing skin over the bulk. The projectile&#39;s energy is used to reorganise the grains, which causes the skin to crack, allowing the trapped air to escape. The morphology of the craters as a function of impact energy in submerged beds exhibits different scaling laws than what is known for dry beds. This phenomenon is attributed to the contact line motion on the hydrophobic fractal-like surface of submerged grains. The volume of the gas released is a function of multiple factors, chiefly the velocity of the projectile, depth of the bed and depth of the water column. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2405.15445v1-abstract-full').style.display = 'none'; document.getElementById('2405.15445v1-abstract-short').style.display = 'inline';">&#9651; Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 24 May, 2024; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> May 2024. </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">Comments:</span> <span class="has-text-grey-dark mathjax">15 pages, 10 figures</span> </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">Journal ref:</span> J. Fluid Mech. 990 (2024) A16 </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2405.12488">arXiv:2405.12488</a> <span>&nbsp;[<a href="https://arxiv.org/pdf/2405.12488">pdf</a>, <a href="https://arxiv.org/format/2405.12488">other</a>]&nbsp;</span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="High Energy Physics - Experiment">hep-ex</span> </div> </div> <p class="title is-5 mathjax"> First joint oscillation analysis of Super-Kamiokande atmospheric and T2K accelerator neutrino data </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/?searchtype=author&amp;query=Super-Kamiokande"> Super-Kamiokande</a>, <a href="/search/?searchtype=author&amp;query=collaborations%2C+T">T2K collaborations</a>, <a href="/search/?searchtype=author&amp;query=%3A"> :</a>, <a href="/search/?searchtype=author&amp;query=Abe%2C+S">S. Abe</a>, <a href="/search/?searchtype=author&amp;query=Abe%2C+K">K. Abe</a>, <a href="/search/?searchtype=author&amp;query=Akhlaq%2C+N">N. Akhlaq</a>, <a href="/search/?searchtype=author&amp;query=Akutsu%2C+R">R. Akutsu</a>, <a href="/search/?searchtype=author&amp;query=Alarakia-Charles%2C+H">H. Alarakia-Charles</a>, <a href="/search/?searchtype=author&amp;query=Ali%2C+A">A. Ali</a>, <a href="/search/?searchtype=author&amp;query=Hakim%2C+Y+I+A">Y. I. Alj Hakim</a>, <a href="/search/?searchtype=author&amp;query=Monsalve%2C+S+A">S. Alonso Monsalve</a>, <a href="/search/?searchtype=author&amp;query=Amanai%2C+S">S. Amanai</a>, <a href="/search/?searchtype=author&amp;query=Andreopoulos%2C+C">C. Andreopoulos</a>, <a href="/search/?searchtype=author&amp;query=Anthony%2C+L+H+V">L. H. V. Anthony</a>, <a href="/search/?searchtype=author&amp;query=Antonova%2C+M">M. Antonova</a>, <a href="/search/?searchtype=author&amp;query=Aoki%2C+S">S. Aoki</a>, <a href="/search/?searchtype=author&amp;query=Apte%2C+K+A">K. A. Apte</a>, <a href="/search/?searchtype=author&amp;query=Arai%2C+T">T. Arai</a>, <a href="/search/?searchtype=author&amp;query=Arihara%2C+T">T. Arihara</a>, <a href="/search/?searchtype=author&amp;query=Arimoto%2C+S">S. Arimoto</a>, <a href="/search/?searchtype=author&amp;query=Asada%2C+Y">Y. Asada</a>, <a href="/search/?searchtype=author&amp;query=Asaka%2C+R">R. Asaka</a>, <a href="/search/?searchtype=author&amp;query=Ashida%2C+Y">Y. Ashida</a>, <a href="/search/?searchtype=author&amp;query=Atkin%2C+E+T">E. T. Atkin</a>, <a href="/search/?searchtype=author&amp;query=Babu%2C+N">N. Babu</a> , et al. (524 additional authors not shown) </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="2405.12488v2-abstract-short" style="display: inline;"> The Super-Kamiokande and T2K collaborations present a joint measurement of neutrino oscillation parameters from their atmospheric and beam neutrino data. It uses a common interaction model for events overlapping in neutrino energy and correlated detector systematic uncertainties between the two datasets, which are found to be compatible. Using 3244.4 days of atmospheric data and a beam exposure of&hellip; <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2405.12488v2-abstract-full').style.display = 'inline'; document.getElementById('2405.12488v2-abstract-short').style.display = 'none';">&#9661; More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2405.12488v2-abstract-full" style="display: none;"> The Super-Kamiokande and T2K collaborations present a joint measurement of neutrino oscillation parameters from their atmospheric and beam neutrino data. It uses a common interaction model for events overlapping in neutrino energy and correlated detector systematic uncertainties between the two datasets, which are found to be compatible. Using 3244.4 days of atmospheric data and a beam exposure of $19.7(16.3) \times 10^{20}$ protons on target in (anti)neutrino mode, the analysis finds a 1.9$蟽$ exclusion of CP-conservation (defined as $J_{CP}=0$) and a preference for the normal mass ordering. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2405.12488v2-abstract-full').style.display = 'none'; document.getElementById('2405.12488v2-abstract-short').style.display = 'inline';">&#9651; Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 15 October, 2024; <span class="has-text-black-bis has-text-weight-semibold">v1</span> submitted 21 May, 2024; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> May 2024. </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">Comments:</span> <span class="has-text-grey-dark mathjax">12 pages, 4 figures</span> </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2312.06992">arXiv:2312.06992</a> <span>&nbsp;[<a href="https://arxiv.org/pdf/2312.06992">pdf</a>, <a href="https://arxiv.org/format/2312.06992">other</a>]&nbsp;</span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="High Energy Astrophysical Phenomena">astro-ph.HE</span> </div> <div class="is-inline-block" style="margin-left: 0.5rem"> <div class="tags has-addons"> <span class="tag is-dark is-size-7">doi</span> <span class="tag is-light is-size-7"><a class="" href="https://doi.org/10.3847/1538-4357/ad1605">10.3847/1538-4357/ad1605 <i class="fa fa-external-link" aria-hidden="true"></i></a></span> </div> </div> </div> <p class="title is-5 mathjax"> Between the cosmic-ray `knee&#39; and the `ankle&#39;: Contribution from star clusters </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/?searchtype=author&amp;query=Bhadra%2C+S">Sourav Bhadra</a>, <a href="/search/?searchtype=author&amp;query=Thoudam%2C+S">Satyendra Thoudam</a>, <a href="/search/?searchtype=author&amp;query=Nath%2C+B+B">Biman B Nath</a>, <a href="/search/?searchtype=author&amp;query=Sharma%2C+P">Prateek Sharma</a> </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="2312.06992v1-abstract-short" style="display: inline;"> We show that massive young star clusters may be possible candidates that can accelerate Galactic cosmic rays (CRs) in the range of $10^7\hbox{--}10^9$ GeV (between the `knee&#39; and `ankle&#39;). Various plausible scenarios such as acceleration at the wind termination shock (WTS), supernova shocks inside these young star clusters, etc. have been proposed,since it is difficult to accelerate particles up t&hellip; <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2312.06992v1-abstract-full').style.display = 'inline'; document.getElementById('2312.06992v1-abstract-short').style.display = 'none';">&#9661; More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2312.06992v1-abstract-full" style="display: none;"> We show that massive young star clusters may be possible candidates that can accelerate Galactic cosmic rays (CRs) in the range of $10^7\hbox{--}10^9$ GeV (between the `knee&#39; and `ankle&#39;). Various plausible scenarios such as acceleration at the wind termination shock (WTS), supernova shocks inside these young star clusters, etc. have been proposed,since it is difficult to accelerate particles up to the $10^7\hbox{--}10^9$ GeV range in the standard paradigm of CR acceleration in supernova remnants. We consider a model for the production of different nuclei in CRs from massive stellar winds using the observed distribution of young star clusters in the Galactic plane. We present a detailed calculation of CR transport in the Galaxy, taking into account the effect of diffusion, interaction losses during propagation, and particle re-acceleration by old supernova remnants to determine the all-particle CR spectrum. Using the maximum energy estimate from the Hillas criterion, we argue that a young massive star cluster can accelerate protons up to a few tens of PeV. Upon comparison with the observed data, our model requires a CR source spectrum with an exponential cutoff of $5\times 10^7 Z$ GeV ($50\,Z$~PeV) from these clusters together with a cosmic-ray injection fraction of $\sim 5\%$ of the wind kinetic energy. We discuss the possibility of achieving these requirements in star clusters, and the associated uncertainties, in the context of considering star clusters as the natural accelerator of the `second component&#39; of Galactic cosmic rays. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2312.06992v1-abstract-full').style.display = 'none'; document.getElementById('2312.06992v1-abstract-short').style.display = 'inline';">&#9651; Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 12 December, 2023; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> December 2023. </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">Comments:</span> <span class="has-text-grey-dark mathjax">18 pages, 6 figures, accepted for publication in ApJ</span> </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2308.16606">arXiv:2308.16606</a> <span>&nbsp;[<a href="https://arxiv.org/pdf/2308.16606">pdf</a>, <a href="https://arxiv.org/ps/2308.16606">ps</a>, <a href="https://arxiv.org/format/2308.16606">other</a>]&nbsp;</span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="High Energy Physics - Experiment">hep-ex</span> </div> <div class="is-inline-block" style="margin-left: 0.5rem"> <div class="tags has-addons"> <span class="tag is-dark is-size-7">doi</span> <span class="tag is-light is-size-7"><a class="" href="https://doi.org/10.1103/PhysRevD.108.092009">10.1103/PhysRevD.108.092009 <i class="fa fa-external-link" aria-hidden="true"></i></a></span> </div> </div> </div> <p class="title is-5 mathjax"> Measurements of the $谓_渭$ and $\bar谓_渭$-induced Coherent Charged Pion Production Cross Sections on $^{12}C$ by the T2K experiment </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/?searchtype=author&amp;query=Abe%2C+K">K. Abe</a>, <a href="/search/?searchtype=author&amp;query=Akhlaq%2C+N">N. Akhlaq</a>, <a href="/search/?searchtype=author&amp;query=Akutsu%2C+R">R. Akutsu</a>, <a href="/search/?searchtype=author&amp;query=Ali%2C+A">A. Ali</a>, <a href="/search/?searchtype=author&amp;query=Monsalve%2C+S+A">S. Alonso Monsalve</a>, <a href="/search/?searchtype=author&amp;query=Alt%2C+C">C. Alt</a>, <a href="/search/?searchtype=author&amp;query=Andreopoulos%2C+C">C. Andreopoulos</a>, <a href="/search/?searchtype=author&amp;query=Antonova%2C+M">M. Antonova</a>, <a href="/search/?searchtype=author&amp;query=Aoki%2C+S">S. Aoki</a>, <a href="/search/?searchtype=author&amp;query=Arihara%2C+T">T. Arihara</a>, <a href="/search/?searchtype=author&amp;query=Asada%2C+Y">Y. Asada</a>, <a href="/search/?searchtype=author&amp;query=Ashida%2C+Y">Y. Ashida</a>, <a href="/search/?searchtype=author&amp;query=Atkin%2C+E+T">E. T. Atkin</a>, <a href="/search/?searchtype=author&amp;query=Barbi%2C+M">M. Barbi</a>, <a href="/search/?searchtype=author&amp;query=Barker%2C+G+J">G. J. Barker</a>, <a href="/search/?searchtype=author&amp;query=Barr%2C+G">G. Barr</a>, <a href="/search/?searchtype=author&amp;query=Barrow%2C+D">D. Barrow</a>, <a href="/search/?searchtype=author&amp;query=Batkiewicz-Kwasniak%2C+M">M. Batkiewicz-Kwasniak</a>, <a href="/search/?searchtype=author&amp;query=Berardi%2C+V">V. Berardi</a>, <a href="/search/?searchtype=author&amp;query=Berns%2C+L">L. Berns</a>, <a href="/search/?searchtype=author&amp;query=Bhadra%2C+S">S. Bhadra</a>, <a href="/search/?searchtype=author&amp;query=Blanchet%2C+A">A. Blanchet</a>, <a href="/search/?searchtype=author&amp;query=Blondel%2C+A">A. Blondel</a>, <a href="/search/?searchtype=author&amp;query=Bolognesi%2C+S">S. Bolognesi</a>, <a href="/search/?searchtype=author&amp;query=Bonus%2C+T">T. Bonus</a> , et al. (359 additional authors not shown) </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="2308.16606v2-abstract-short" style="display: inline;"> We report an updated measurement of the $谓_渭$-induced, and the first measurement of the $\bar谓_渭$-induced coherent charged pion production cross section on $^{12}C$ nuclei in the T2K experiment. This is measured in a restricted region of the final-state phase space for which $p_{渭,蟺} &gt; 0.2$ GeV, $\cos(胃_渭) &gt; 0.8$ and $\cos(胃_蟺) &gt; 0.6$, and at a mean (anti)neutrino energy of 0.85 GeV using the T2K&hellip; <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2308.16606v2-abstract-full').style.display = 'inline'; document.getElementById('2308.16606v2-abstract-short').style.display = 'none';">&#9661; More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2308.16606v2-abstract-full" style="display: none;"> We report an updated measurement of the $谓_渭$-induced, and the first measurement of the $\bar谓_渭$-induced coherent charged pion production cross section on $^{12}C$ nuclei in the T2K experiment. This is measured in a restricted region of the final-state phase space for which $p_{渭,蟺} &gt; 0.2$ GeV, $\cos(胃_渭) &gt; 0.8$ and $\cos(胃_蟺) &gt; 0.6$, and at a mean (anti)neutrino energy of 0.85 GeV using the T2K near detector. The measured $谓_渭$ CC coherent pion production flux-averaged cross section on $^{12}C$ is $(2.98 \pm 0.37 (stat.) \pm 0.31 (syst.) \substack{ +0.49 \\ -0.00 } \mathrm{ (Q^2\,model)}) \times 10^{-40}~\mathrm{cm}^{2}$. The new measurement of the $\bar谓_渭$-induced cross section on $^{12}{C}$ is $(3.05 \pm 0.71 (stat.) \pm 0.39 (syst.) \substack{ +0.74 \\ -0.00 } \mathrm{(Q^2\,model)}) \times 10^{-40}~\mathrm{cm}^{2}$. The results are compatible with both the NEUT 5.4.0 Berger-Sehgal (2009) and GENIE 2.8.0 Rein-Sehgal (2007) model predictions. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2308.16606v2-abstract-full').style.display = 'none'; document.getElementById('2308.16606v2-abstract-short').style.display = 'inline';">&#9651; Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 14 October, 2023; <span class="has-text-black-bis has-text-weight-semibold">v1</span> submitted 31 August, 2023; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> August 2023. </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">Journal ref:</span> Phys.Rev.D 108 (2023) 9, 092009 </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2305.09916">arXiv:2305.09916</a> <span>&nbsp;[<a href="https://arxiv.org/pdf/2305.09916">pdf</a>, <a href="https://arxiv.org/format/2305.09916">other</a>]&nbsp;</span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="High Energy Physics - Experiment">hep-ex</span> </div> </div> <p class="title is-5 mathjax"> Updated T2K measurements of muon neutrino and antineutrino disappearance using 3.6 $\times$ 10$^{21}$ protons on target </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/?searchtype=author&amp;query=Abe%2C+K">K. Abe</a>, <a href="/search/?searchtype=author&amp;query=Akhlaq%2C+N">N. Akhlaq</a>, <a href="/search/?searchtype=author&amp;query=Akutsu%2C+R">R. Akutsu</a>, <a href="/search/?searchtype=author&amp;query=Alarakia-Charles%2C+H">H. Alarakia-Charles</a>, <a href="/search/?searchtype=author&amp;query=Ali%2C+A">A. Ali</a>, <a href="/search/?searchtype=author&amp;query=Hakim%2C+Y+I+A">Y. I. Alj Hakim</a>, <a href="/search/?searchtype=author&amp;query=Monsalve%2C+S+A">S. Alonso Monsalve</a>, <a href="/search/?searchtype=author&amp;query=Alt%2C+C">C. Alt</a>, <a href="/search/?searchtype=author&amp;query=Andreopoulos%2C+C">C. Andreopoulos</a>, <a href="/search/?searchtype=author&amp;query=Antonova%2C+M">M. Antonova</a>, <a href="/search/?searchtype=author&amp;query=Aoki%2C+S">S. Aoki</a>, <a href="/search/?searchtype=author&amp;query=Arihara%2C+T">T. Arihara</a>, <a href="/search/?searchtype=author&amp;query=Asada%2C+Y">Y. Asada</a>, <a href="/search/?searchtype=author&amp;query=Ashida%2C+Y">Y. Ashida</a>, <a href="/search/?searchtype=author&amp;query=Atkin%2C+E+T">E. T. Atkin</a>, <a href="/search/?searchtype=author&amp;query=Barbi%2C+M">M. Barbi</a>, <a href="/search/?searchtype=author&amp;query=Barker%2C+G+J">G. J. Barker</a>, <a href="/search/?searchtype=author&amp;query=Barr%2C+G">G. Barr</a>, <a href="/search/?searchtype=author&amp;query=Barrow%2C+D">D. Barrow</a>, <a href="/search/?searchtype=author&amp;query=Batkiewicz-Kwasniak%2C+M">M. Batkiewicz-Kwasniak</a>, <a href="/search/?searchtype=author&amp;query=Bench%2C+F">F. Bench</a>, <a href="/search/?searchtype=author&amp;query=Berardi%2C+V">V. Berardi</a>, <a href="/search/?searchtype=author&amp;query=Berns%2C+L">L. Berns</a>, <a href="/search/?searchtype=author&amp;query=Bhadra%2C+S">S. Bhadra</a>, <a href="/search/?searchtype=author&amp;query=Blanchet%2C+A">A. Blanchet</a> , et al. (385 additional authors not shown) </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="2305.09916v2-abstract-short" style="display: inline;"> Muon neutrino and antineutrino disappearance probabilities are identical in the standard three-flavor neutrino oscillation framework, but CPT violation and non-standard interactions can violate this symmetry. In this work we report the measurements of $\sin^{2} 胃_{23}$ and $螖m_{32}^2$ independently for neutrinos and antineutrinos. The aforementioned symmetry violation would manifest as an inconsis&hellip; <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2305.09916v2-abstract-full').style.display = 'inline'; document.getElementById('2305.09916v2-abstract-short').style.display = 'none';">&#9661; More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2305.09916v2-abstract-full" style="display: none;"> Muon neutrino and antineutrino disappearance probabilities are identical in the standard three-flavor neutrino oscillation framework, but CPT violation and non-standard interactions can violate this symmetry. In this work we report the measurements of $\sin^{2} 胃_{23}$ and $螖m_{32}^2$ independently for neutrinos and antineutrinos. The aforementioned symmetry violation would manifest as an inconsistency in the neutrino and antineutrino oscillation parameters. The analysis discussed here uses a total of 1.97$\times$10$^{21}$ and 1.63$\times$10$^{21}$ protons on target taken with a neutrino and antineutrino beam respectively, and benefits from improved flux and cross-section models, new near detector samples and more than double the data reducing the overall uncertainty of the result. No significant deviation is observed, consistent with the standard neutrino oscillation picture. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2305.09916v2-abstract-full').style.display = 'none'; document.getElementById('2305.09916v2-abstract-short').style.display = 'inline';">&#9651; Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 16 October, 2023; <span class="has-text-black-bis has-text-weight-semibold">v1</span> submitted 16 May, 2023; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> May 2023. </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2303.14228">arXiv:2303.14228</a> <span>&nbsp;[<a href="https://arxiv.org/pdf/2303.14228">pdf</a>, <a href="https://arxiv.org/format/2303.14228">other</a>]&nbsp;</span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="High Energy Physics - Experiment">hep-ex</span> </div> <div class="is-inline-block" style="margin-left: 0.5rem"> <div class="tags has-addons"> <span class="tag is-dark is-size-7">doi</span> <span class="tag is-light is-size-7"><a class="" href="https://doi.org/10.1103/PhysRevD.108.112009">10.1103/PhysRevD.108.112009 <i class="fa fa-external-link" aria-hidden="true"></i></a></span> </div> </div> </div> <p class="title is-5 mathjax"> First measurement of muon neutrino charged-current interactions on hydrocarbon without pions in the final state using multiple detectors with correlated energy spectra at T2K </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/?searchtype=author&amp;query=Abe%2C+K">K. Abe</a>, <a href="/search/?searchtype=author&amp;query=Akhlaq%2C+N">N. Akhlaq</a>, <a href="/search/?searchtype=author&amp;query=Akutsu%2C+R">R. Akutsu</a>, <a href="/search/?searchtype=author&amp;query=Alarakia-Charles%2C+H">H. Alarakia-Charles</a>, <a href="/search/?searchtype=author&amp;query=Ali%2C+A">A. Ali</a>, <a href="/search/?searchtype=author&amp;query=Hakim%2C+Y+I+A">Y. I. Alj Hakim</a>, <a href="/search/?searchtype=author&amp;query=Monsalve%2C+S+A">S. Alonso Monsalve</a>, <a href="/search/?searchtype=author&amp;query=Alt%2C+C">C. Alt</a>, <a href="/search/?searchtype=author&amp;query=Andreopoulos%2C+C">C. Andreopoulos</a>, <a href="/search/?searchtype=author&amp;query=Antonova%2C+M">M. Antonova</a>, <a href="/search/?searchtype=author&amp;query=Aoki%2C+S">S. Aoki</a>, <a href="/search/?searchtype=author&amp;query=Arihara%2C+T">T. Arihara</a>, <a href="/search/?searchtype=author&amp;query=Asada%2C+Y">Y. Asada</a>, <a href="/search/?searchtype=author&amp;query=Ashida%2C+Y">Y. Ashida</a>, <a href="/search/?searchtype=author&amp;query=Atkin%2C+E+T">E. T. Atkin</a>, <a href="/search/?searchtype=author&amp;query=Barbi%2C+M">M. Barbi</a>, <a href="/search/?searchtype=author&amp;query=Barker%2C+G+J">G. J. Barker</a>, <a href="/search/?searchtype=author&amp;query=Barr%2C+G">G. Barr</a>, <a href="/search/?searchtype=author&amp;query=Barrow%2C+D">D. Barrow</a>, <a href="/search/?searchtype=author&amp;query=Batkiewicz-Kwasniak%2C+M">M. Batkiewicz-Kwasniak</a>, <a href="/search/?searchtype=author&amp;query=Bench%2C+F">F. Bench</a>, <a href="/search/?searchtype=author&amp;query=Berardi%2C+V">V. Berardi</a>, <a href="/search/?searchtype=author&amp;query=Berns%2C+L">L. Berns</a>, <a href="/search/?searchtype=author&amp;query=Bhadra%2C+S">S. Bhadra</a>, <a href="/search/?searchtype=author&amp;query=Blanchet%2C+A">A. Blanchet</a> , et al. (380 additional authors not shown) </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="2303.14228v2-abstract-short" style="display: inline;"> This paper reports the first measurement of muon neutrino charged-current interactions without pions in the final state using multiple detectors with correlated energy spectra at T2K. The data was collected on hydrocarbon targets using the off-axis T2K near detector (ND280) and the on-axis T2K near detector (INGRID) with neutrino energy spectra peaked at 0.6 GeV and 1.1 GeV respectively. The corre&hellip; <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2303.14228v2-abstract-full').style.display = 'inline'; document.getElementById('2303.14228v2-abstract-short').style.display = 'none';">&#9661; More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2303.14228v2-abstract-full" style="display: none;"> This paper reports the first measurement of muon neutrino charged-current interactions without pions in the final state using multiple detectors with correlated energy spectra at T2K. The data was collected on hydrocarbon targets using the off-axis T2K near detector (ND280) and the on-axis T2K near detector (INGRID) with neutrino energy spectra peaked at 0.6 GeV and 1.1 GeV respectively. The correlated neutrino flux presents an opportunity to reduce the impact of the flux uncertainty and to study the energy dependence of neutrino interactions. The extracted double-differential cross sections are compared to several Monte Carlo neutrino-nucleus interaction event generators showing the agreement between both detectors individually and with the correlated result. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2303.14228v2-abstract-full').style.display = 'none'; document.getElementById('2303.14228v2-abstract-short').style.display = 'inline';">&#9651; Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 18 October, 2023; <span class="has-text-black-bis has-text-weight-semibold">v1</span> submitted 24 March, 2023; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> March 2023. </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">Comments:</span> <span class="has-text-grey-dark mathjax">Updated discussion in Sec. V-A; Updated author list</span> </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2303.03222">arXiv:2303.03222</a> <span>&nbsp;[<a href="https://arxiv.org/pdf/2303.03222">pdf</a>, <a href="https://arxiv.org/format/2303.03222">other</a>]&nbsp;</span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="High Energy Physics - Experiment">hep-ex</span> </div> <div class="is-inline-block" style="margin-left: 0.5rem"> <div class="tags has-addons"> <span class="tag is-dark is-size-7">doi</span> <span class="tag is-light is-size-7"><a class="" href="https://doi.org/10.1140/epjc/s10052-023-11819-x">10.1140/epjc/s10052-023-11819-x <i class="fa fa-external-link" aria-hidden="true"></i></a></span> </div> </div> </div> <p class="title is-5 mathjax"> Measurements of neutrino oscillation parameters from the T2K experiment using $3.6\times10^{21}$ protons on target </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/?searchtype=author&amp;query=The+T2K+Collaboration"> The T2K Collaboration</a>, <a href="/search/?searchtype=author&amp;query=Abe%2C+K">K. Abe</a>, <a href="/search/?searchtype=author&amp;query=Akhlaq%2C+N">N. Akhlaq</a>, <a href="/search/?searchtype=author&amp;query=Akutsu%2C+R">R. Akutsu</a>, <a href="/search/?searchtype=author&amp;query=Ali%2C+A">A. Ali</a>, <a href="/search/?searchtype=author&amp;query=Monsalve%2C+S+A">S. Alonso Monsalve</a>, <a href="/search/?searchtype=author&amp;query=Alt%2C+C">C. Alt</a>, <a href="/search/?searchtype=author&amp;query=Andreopoulos%2C+C">C. Andreopoulos</a>, <a href="/search/?searchtype=author&amp;query=Antonova%2C+M">M. Antonova</a>, <a href="/search/?searchtype=author&amp;query=Aoki%2C+S">S. Aoki</a>, <a href="/search/?searchtype=author&amp;query=Arihara%2C+T">T. Arihara</a>, <a href="/search/?searchtype=author&amp;query=Asada%2C+Y">Y. Asada</a>, <a href="/search/?searchtype=author&amp;query=Ashida%2C+Y">Y. Ashida</a>, <a href="/search/?searchtype=author&amp;query=Atkin%2C+E+T">E. T. Atkin</a>, <a href="/search/?searchtype=author&amp;query=Barbi%2C+M">M. Barbi</a>, <a href="/search/?searchtype=author&amp;query=Barker%2C+G+J">G. J. Barker</a>, <a href="/search/?searchtype=author&amp;query=Barr%2C+G">G. Barr</a>, <a href="/search/?searchtype=author&amp;query=Barrow%2C+D">D. Barrow</a>, <a href="/search/?searchtype=author&amp;query=Batkiewicz-Kwasniak%2C+M">M. Batkiewicz-Kwasniak</a>, <a href="/search/?searchtype=author&amp;query=Bench%2C+F">F. Bench</a>, <a href="/search/?searchtype=author&amp;query=Berardi%2C+V">V. Berardi</a>, <a href="/search/?searchtype=author&amp;query=Berns%2C+L">L. Berns</a>, <a href="/search/?searchtype=author&amp;query=Bhadra%2C+S">S. Bhadra</a>, <a href="/search/?searchtype=author&amp;query=Blanchet%2C+A">A. Blanchet</a>, <a href="/search/?searchtype=author&amp;query=Blondel%2C+A">A. Blondel</a> , et al. (376 additional authors not shown) </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="2303.03222v3-abstract-short" style="display: inline;"> The T2K experiment presents new measurements of neutrino oscillation parameters using $19.7(16.3)\times10^{20}$ protons on target (POT) in (anti-)neutrino mode at the far detector (FD). Compared to the previous analysis, an additional $4.7\times10^{20}$ POT neutrino data was collected at the FD. Significant improvements were made to the analysis methodology, with the near-detector analysis introdu&hellip; <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2303.03222v3-abstract-full').style.display = 'inline'; document.getElementById('2303.03222v3-abstract-short').style.display = 'none';">&#9661; More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2303.03222v3-abstract-full" style="display: none;"> The T2K experiment presents new measurements of neutrino oscillation parameters using $19.7(16.3)\times10^{20}$ protons on target (POT) in (anti-)neutrino mode at the far detector (FD). Compared to the previous analysis, an additional $4.7\times10^{20}$ POT neutrino data was collected at the FD. Significant improvements were made to the analysis methodology, with the near-detector analysis introducing new selections and using more than double the data. Additionally, this is the first T2K oscillation analysis to use NA61/SHINE data on a replica of the T2K target to tune the neutrino flux model, and the neutrino interaction model was improved to include new nuclear effects and calculations. Frequentist and Bayesian analyses are presented, including results on $\sin^2胃_{13}$ and the impact of priors on the $未_\mathrm{CP}$ measurement. Both analyses prefer the normal mass ordering and upper octant of $\sin^2胃_{23}$ with a nearly maximally CP-violating phase. Assuming the normal ordering and using the constraint on $\sin^2胃_{13}$ from reactors, $\sin^2胃_{23}=0.561^{+0.021}_{-0.032}$ using Feldman--Cousins corrected intervals, and $螖m^2_{32}=2.494_{-0.058}^{+0.041}\times10^{-3}~\mathrm{eV^2}$ using constant $螖蠂^{2}$ intervals. The CP-violating phase is constrained to $未_\mathrm{CP}=-1.97_{-0.70}^{+0.97}$ using Feldman--Cousins corrected intervals, and $未_\mathrm{CP}=0,蟺$ is excluded at more than 90% confidence level. A Jarlskog invariant of zero is excluded at more than $2蟽$ credible level using a flat prior in $未_\mathrm{CP}$, and just below $2蟽$ using a flat prior in $\sin未_\mathrm{CP}$. When the external constraint on $\sin^2胃_{13}$ is removed, $\sin^2胃_{13}=28.0^{+2.8}_{-6.5}\times10^{-3}$, in agreement with measurements from reactor experiments. These results are consistent with previous T2K analyses. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2303.03222v3-abstract-full').style.display = 'none'; document.getElementById('2303.03222v3-abstract-short').style.display = 'inline';">&#9651; Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 10 September, 2023; <span class="has-text-black-bis has-text-weight-semibold">v1</span> submitted 6 March, 2023; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> March 2023. </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">Journal ref:</span> Eur. Phys. J. C 83, 782 (2023) </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2301.09003">arXiv:2301.09003</a> <span>&nbsp;[<a href="https://arxiv.org/pdf/2301.09003">pdf</a>, <a href="https://arxiv.org/format/2301.09003">other</a>]&nbsp;</span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="Computation and Language">cs.CL</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Artificial Intelligence">cs.AI</span> </div> <div class="is-inline-block" style="margin-left: 0.5rem"> <div class="tags has-addons"> <span class="tag is-dark is-size-7">doi</span> <span class="tag is-light is-size-7"><a class="" href="https://doi.org/10.1016/j.nlp.2024.100062">10.1016/j.nlp.2024.100062 <i class="fa fa-external-link" aria-hidden="true"></i></a></span> </div> </div> </div> <p class="title is-5 mathjax"> Blacks is to Anger as Whites is to Joy? Understanding Latent Affective Bias in Large Pre-trained Neural Language Models </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/?searchtype=author&amp;query=Kadan%2C+A">Anoop Kadan</a>, <a href="/search/?searchtype=author&amp;query=P.%2C+D">Deepak P.</a>, <a href="/search/?searchtype=author&amp;query=Bhadra%2C+S">Sahely Bhadra</a>, <a href="/search/?searchtype=author&amp;query=Gangan%2C+M+P">Manjary P. Gangan</a>, <a href="/search/?searchtype=author&amp;query=L%2C+L+V">Lajish V. L</a> </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="2301.09003v1-abstract-short" style="display: inline;"> Groundbreaking inventions and highly significant performance improvements in deep learning based Natural Language Processing are witnessed through the development of transformer based large Pre-trained Language Models (PLMs). The wide availability of unlabeled data within human generated data deluge along with self-supervised learning strategy helps to accelerate the success of large PLMs in langu&hellip; <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2301.09003v1-abstract-full').style.display = 'inline'; document.getElementById('2301.09003v1-abstract-short').style.display = 'none';">&#9661; More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2301.09003v1-abstract-full" style="display: none;"> Groundbreaking inventions and highly significant performance improvements in deep learning based Natural Language Processing are witnessed through the development of transformer based large Pre-trained Language Models (PLMs). The wide availability of unlabeled data within human generated data deluge along with self-supervised learning strategy helps to accelerate the success of large PLMs in language generation, language understanding, etc. But at the same time, latent historical bias/unfairness in human minds towards a particular gender, race, etc., encoded unintentionally/intentionally into the corpora harms and questions the utility and efficacy of large PLMs in many real-world applications, particularly for the protected groups. In this paper, we present an extensive investigation towards understanding the existence of &#34;Affective Bias&#34; in large PLMs to unveil any biased association of emotions such as anger, fear, joy, etc., towards a particular gender, race or religion with respect to the downstream task of textual emotion detection. We conduct our exploration of affective bias from the very initial stage of corpus level affective bias analysis by searching for imbalanced distribution of affective words within a domain, in large scale corpora that are used to pre-train and fine-tune PLMs. Later, to quantify affective bias in model predictions, we perform an extensive set of class-based and intensity-based evaluations using various bias evaluation corpora. Our results show the existence of statistically significant affective bias in the PLM based emotion detection systems, indicating biased association of certain emotions towards a particular gender, race, and religion. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2301.09003v1-abstract-full').style.display = 'none'; document.getElementById('2301.09003v1-abstract-short').style.display = 'inline';">&#9651; Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 21 January, 2023; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> January 2023. </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2207.12982">arXiv:2207.12982</a> <span>&nbsp;[<a href="https://arxiv.org/pdf/2207.12982">pdf</a>, <a href="https://arxiv.org/format/2207.12982">other</a>]&nbsp;</span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="Instrumentation and Detectors">physics.ins-det</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="High Energy Physics - Experiment">hep-ex</span> </div> </div> <p class="title is-5 mathjax"> Scintillator ageing of the T2K near detectors from 2010 to 2021 </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/?searchtype=author&amp;query=The+T2K+Collaboration"> The T2K Collaboration</a>, <a href="/search/?searchtype=author&amp;query=Abe%2C+K">K. Abe</a>, <a href="/search/?searchtype=author&amp;query=Akhlaq%2C+N">N. Akhlaq</a>, <a href="/search/?searchtype=author&amp;query=Akutsu%2C+R">R. Akutsu</a>, <a href="/search/?searchtype=author&amp;query=Ali%2C+A">A. Ali</a>, <a href="/search/?searchtype=author&amp;query=Alt%2C+C">C. Alt</a>, <a href="/search/?searchtype=author&amp;query=Andreopoulos%2C+C">C. Andreopoulos</a>, <a href="/search/?searchtype=author&amp;query=Antonova%2C+M">M. Antonova</a>, <a href="/search/?searchtype=author&amp;query=Aoki%2C+S">S. Aoki</a>, <a href="/search/?searchtype=author&amp;query=Arihara%2C+T">T. Arihara</a>, <a href="/search/?searchtype=author&amp;query=Asada%2C+Y">Y. Asada</a>, <a href="/search/?searchtype=author&amp;query=Ashida%2C+Y">Y. Ashida</a>, <a href="/search/?searchtype=author&amp;query=Atkin%2C+E+T">E. T. Atkin</a>, <a href="/search/?searchtype=author&amp;query=Ban%2C+S">S. Ban</a>, <a href="/search/?searchtype=author&amp;query=Barbi%2C+M">M. Barbi</a>, <a href="/search/?searchtype=author&amp;query=Barker%2C+G+J">G. J. Barker</a>, <a href="/search/?searchtype=author&amp;query=Barr%2C+G">G. Barr</a>, <a href="/search/?searchtype=author&amp;query=Barrow%2C+D">D. Barrow</a>, <a href="/search/?searchtype=author&amp;query=Batkiewicz-Kwasniak%2C+M">M. Batkiewicz-Kwasniak</a>, <a href="/search/?searchtype=author&amp;query=Bench%2C+F">F. Bench</a>, <a href="/search/?searchtype=author&amp;query=Berardi%2C+V">V. Berardi</a>, <a href="/search/?searchtype=author&amp;query=Berns%2C+L">L. Berns</a>, <a href="/search/?searchtype=author&amp;query=Bhadra%2C+S">S. Bhadra</a>, <a href="/search/?searchtype=author&amp;query=Blanchet%2C+A">A. Blanchet</a>, <a href="/search/?searchtype=author&amp;query=Blondel%2C+A">A. Blondel</a> , et al. (333 additional authors not shown) </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="2207.12982v1-abstract-short" style="display: inline;"> The T2K experiment widely uses plastic scintillator as a target for neutrino interactions and an active medium for the measurement of charged particles produced in neutrino interactions at its near detector complex. Over 10 years of operation the measured light yield recorded by the scintillator based subsystems has been observed to degrade by 0.9--2.2\% per year. Extrapolation of the degradation&hellip; <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2207.12982v1-abstract-full').style.display = 'inline'; document.getElementById('2207.12982v1-abstract-short').style.display = 'none';">&#9661; More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2207.12982v1-abstract-full" style="display: none;"> The T2K experiment widely uses plastic scintillator as a target for neutrino interactions and an active medium for the measurement of charged particles produced in neutrino interactions at its near detector complex. Over 10 years of operation the measured light yield recorded by the scintillator based subsystems has been observed to degrade by 0.9--2.2\% per year. Extrapolation of the degradation rate through to 2040 indicates the recorded light yield should remain above the lower threshold used by the current reconstruction algorithms for all subsystems. This will allow the near detectors to continue contributing to important physics measurements during the T2K-II and Hyper-Kamiokande eras. Additionally, work to disentangle the degradation of the plastic scintillator and wavelength shifting fibres shows that the reduction in light yield can be attributed to the ageing of the plastic scintillator. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2207.12982v1-abstract-full').style.display = 'none'; document.getElementById('2207.12982v1-abstract-short').style.display = 'inline';">&#9651; Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 26 July, 2022; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> July 2022. </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">Comments:</span> <span class="has-text-grey-dark mathjax">29 pages, 18 figures. Prepared for submission to JINST</span> </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2202.05311">arXiv:2202.05311</a> <span>&nbsp;[<a href="https://arxiv.org/pdf/2202.05311">pdf</a>, <a href="https://arxiv.org/format/2202.05311">other</a>]&nbsp;</span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="Image and Video Processing">eess.IV</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Computer Vision and Pattern Recognition">cs.CV</span> </div> </div> <p class="title is-5 mathjax"> Mining the manifolds of deep generative models for multiple data-consistent solutions of ill-posed tomographic imaging problems </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/?searchtype=author&amp;query=Bhadra%2C+S">Sayantan Bhadra</a>, <a href="/search/?searchtype=author&amp;query=Villa%2C+U">Umberto Villa</a>, <a href="/search/?searchtype=author&amp;query=Anastasio%2C+M+A">Mark A. Anastasio</a> </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="2202.05311v2-abstract-short" style="display: inline;"> Tomographic imaging is in general an ill-posed inverse problem. Typically, a single regularized image estimate of the sought-after object is obtained from tomographic measurements. However, there may be multiple objects that are all consistent with the same measurement data. The ability to generate such alternate solutions is important because it may enable new assessments of imaging systems. In p&hellip; <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2202.05311v2-abstract-full').style.display = 'inline'; document.getElementById('2202.05311v2-abstract-short').style.display = 'none';">&#9661; More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2202.05311v2-abstract-full" style="display: none;"> Tomographic imaging is in general an ill-posed inverse problem. Typically, a single regularized image estimate of the sought-after object is obtained from tomographic measurements. However, there may be multiple objects that are all consistent with the same measurement data. The ability to generate such alternate solutions is important because it may enable new assessments of imaging systems. In principle, this can be achieved by means of posterior sampling methods. In recent years, deep neural networks have been employed for posterior sampling with promising results. However, such methods are not yet for use with large-scale tomographic imaging applications. On the other hand, empirical sampling methods may be computationally feasible for large-scale imaging systems and enable uncertainty quantification for practical applications. Empirical sampling involves solving a regularized inverse problem within a stochastic optimization framework to obtain alternate data-consistent solutions. In this work, a new empirical sampling method is proposed that computes multiple solutions of a tomographic inverse problem that are consistent with the same acquired measurement data. The method operates by repeatedly solving an optimization problem in the latent space of a style-based generative adversarial network (StyleGAN), and was inspired by the Photo Upsampling via Latent Space Exploration (PULSE) method that was developed for super-resolution tasks. The proposed method is demonstrated and analyzed via numerical studies that involve two stylized tomographic imaging modalities. These studies establish the ability of the method to perform efficient empirical sampling and uncertainty quantification. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2202.05311v2-abstract-full').style.display = 'none'; document.getElementById('2202.05311v2-abstract-short').style.display = 'inline';">&#9651; Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 26 July, 2022; <span class="has-text-black-bis has-text-weight-semibold">v1</span> submitted 10 February, 2022; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> February 2022. </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">Comments:</span> <span class="has-text-grey-dark mathjax">Submitted to IEEE Transactions on Medical Imaging</span> </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2201.00529">arXiv:2201.00529</a> <span>&nbsp;[<a href="https://arxiv.org/pdf/2201.00529">pdf</a>, <a href="https://arxiv.org/format/2201.00529">other</a>]&nbsp;</span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="High Energy Astrophysical Phenomena">astro-ph.HE</span> </div> <div class="is-inline-block" style="margin-left: 0.5rem"> <div class="tags has-addons"> <span class="tag is-dark is-size-7">doi</span> <span class="tag is-light is-size-7"><a class="" href="https://doi.org/10.1093/mnras/stac023">10.1093/mnras/stac023 <i class="fa fa-external-link" aria-hidden="true"></i></a></span> </div> </div> </div> <p class="title is-5 mathjax"> Cosmic rays from massive star clusters : A close look at Westerlund 1 </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/?searchtype=author&amp;query=Bhadra%2C+S">Sourav Bhadra</a>, <a href="/search/?searchtype=author&amp;query=Gupta%2C+S">Siddhartha Gupta</a>, <a href="/search/?searchtype=author&amp;query=Nath%2C+B+B">Biman B. Nath</a>, <a href="/search/?searchtype=author&amp;query=Sharma%2C+P">Prateek Sharma</a> </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="2201.00529v1-abstract-short" style="display: inline;"> We study the effect of cosmic ray (CR) acceleration in the massive compact star cluster Westerlund 1 in light of its recent detection in $纬$-rays. Recent observations reveal a $1/r$ radial distribution of the CR energy density. Here we theoretically investigate whether or not this profile can help to distinguish between (1) continuous CR acceleration in the star cluster stellar wind-driven shocks&hellip; <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2201.00529v1-abstract-full').style.display = 'inline'; document.getElementById('2201.00529v1-abstract-short').style.display = 'none';">&#9661; More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2201.00529v1-abstract-full" style="display: none;"> We study the effect of cosmic ray (CR) acceleration in the massive compact star cluster Westerlund 1 in light of its recent detection in $纬$-rays. Recent observations reveal a $1/r$ radial distribution of the CR energy density. Here we theoretically investigate whether or not this profile can help to distinguish between (1) continuous CR acceleration in the star cluster stellar wind-driven shocks and (2) discrete CR acceleration in multiple supernovae shocks -- which are often debated in the literature. Using idealized two-fluid simulations and exploring different acceleration sites and diffusion coefficients, we obtain the CR energy density profile and luminosity to find the best match for the $纬$-ray observations. We find that the inferred CR energy density profiles from observations of $纬$-ray luminosity and mass can be much different from the true radial profile. CR acceleration at either the cluster core region or the wind termination shock can explain the observations, if the diffusion coefficient is $魏_{\rm cr}\sim 10^{27}$ cm$^2$ s$^{-1}$ and a fraction of $\approx 10\%-20\%$ of the shock power/post-shock pressure is deposited into the CR component. We also study the possibility of discrete supernovae (SN) explosions being responsible for CR acceleration and find that with an injection rate of 1 SN in every $\sim 0.03$ Myr, one can explain the observed $纬$-ray profile. This multiple SN scenario is consistent with X-ray observations only if the thermal conductivity is close to the Spitzer value. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2201.00529v1-abstract-full').style.display = 'none'; document.getElementById('2201.00529v1-abstract-short').style.display = 'inline';">&#9651; Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 3 January, 2022; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> January 2022. </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">Comments:</span> <span class="has-text-grey-dark mathjax">14 pages, 8 figures, accepted for publication in MNRAS</span> </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2112.11693">arXiv:2112.11693</a> <span>&nbsp;[<a href="https://arxiv.org/pdf/2112.11693">pdf</a>, <a href="https://arxiv.org/format/2112.11693">other</a>]&nbsp;</span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="Statistical Mechanics">cond-mat.stat-mech</span> </div> <div class="is-inline-block" style="margin-left: 0.5rem"> <div class="tags has-addons"> <span class="tag is-dark is-size-7">doi</span> <span class="tag is-light is-size-7"><a class="" href="https://doi.org/10.1103/PhysRevResearch.3.043179">10.1103/PhysRevResearch.3.043179 <i class="fa fa-external-link" aria-hidden="true"></i></a></span> </div> </div> </div> <p class="title is-5 mathjax"> Emergent Chirality and Current Generation </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/?searchtype=author&amp;query=Bhadra%2C+S">Satyanu Bhadra</a>, <a href="/search/?searchtype=author&amp;query=Ghosh%2C+S">Shankar Ghosh</a>, <a href="/search/?searchtype=author&amp;query=Gupta%2C+S">Shamik Gupta</a> </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="2112.11693v1-abstract-short" style="display: inline;"> We investigate the phenomenon of producing vibration-induced rotational motion in a cylinder filled with achiral rods and being vibrated by an external drive. The arrangement of the rods develops chirality as a result of the interaction of gravity and steric hindrance, which is responsible for the induced motion. A two-rod arrangement is sufficient to generate a persistent motion. The average angu&hellip; <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2112.11693v1-abstract-full').style.display = 'inline'; document.getElementById('2112.11693v1-abstract-short').style.display = 'none';">&#9661; More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2112.11693v1-abstract-full" style="display: none;"> We investigate the phenomenon of producing vibration-induced rotational motion in a cylinder filled with achiral rods and being vibrated by an external drive. The arrangement of the rods develops chirality as a result of the interaction of gravity and steric hindrance, which is responsible for the induced motion. A two-rod arrangement is sufficient to generate a persistent motion. The average angular velocity $\langle 蠅\rangle$ of the rods at long times varies non-monotonically with the packing fraction $蠁$ for a given drive strength $螕$. Though the precise nature of the variation of $\langle 蠅\rangle$ with $蠁$ depends on the details of the interaction between individual rods, its general characteristics hold true for rods of various materials and geometries. A stochastic model based on the asymmetric simple exclusion process helps in understanding the key features of our experiments. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2112.11693v1-abstract-full').style.display = 'none'; document.getElementById('2112.11693v1-abstract-short').style.display = 'inline';">&#9651; Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 22 December, 2021; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> December 2021. </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">Journal ref:</span> Phys. Rev. Research 3, 043179 (2021) </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2108.12199">arXiv:2108.12199</a> <span>&nbsp;[<a href="https://arxiv.org/pdf/2108.12199">pdf</a>, <a href="https://arxiv.org/format/2108.12199">other</a>]&nbsp;</span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="Machine Learning">cs.LG</span> </div> </div> <p class="title is-5 mathjax"> Learning primal-dual sparse kernel machines </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/?searchtype=author&amp;query=Huusari%2C+R">Riikka Huusari</a>, <a href="/search/?searchtype=author&amp;query=Bhadra%2C+S">Sahely Bhadra</a>, <a href="/search/?searchtype=author&amp;query=Capponi%2C+C">C茅cile Capponi</a>, <a href="/search/?searchtype=author&amp;query=Kadri%2C+H">Hachem Kadri</a>, <a href="/search/?searchtype=author&amp;query=Rousu%2C+J">Juho Rousu</a> </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="2108.12199v1-abstract-short" style="display: inline;"> Traditionally, kernel methods rely on the representer theorem which states that the solution to a learning problem is obtained as a linear combination of the data mapped into the reproducing kernel Hilbert space (RKHS). While elegant from theoretical point of view, the theorem is prohibitive for algorithms&#39; scalability to large datasets, and the interpretability of the learned function. In this pa&hellip; <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2108.12199v1-abstract-full').style.display = 'inline'; document.getElementById('2108.12199v1-abstract-short').style.display = 'none';">&#9661; More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2108.12199v1-abstract-full" style="display: none;"> Traditionally, kernel methods rely on the representer theorem which states that the solution to a learning problem is obtained as a linear combination of the data mapped into the reproducing kernel Hilbert space (RKHS). While elegant from theoretical point of view, the theorem is prohibitive for algorithms&#39; scalability to large datasets, and the interpretability of the learned function. In this paper, instead of using the traditional representer theorem, we propose to search for a solution in RKHS that has a pre-image decomposition in the original data space, where the elements don&#39;t necessarily correspond to the elements in the training set. Our gradient-based optimisation method then hinges on optimising over possibly sparse elements in the input space, and enables us to obtain a kernel-based model with both primal and dual sparsity. We give theoretical justification on the proposed method&#39;s generalization ability via a Rademacher bound. Our experiments demonstrate a better scalability and interpretability with accuracy on par with the traditional kernel-based models. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2108.12199v1-abstract-full').style.display = 'none'; document.getElementById('2108.12199v1-abstract-short').style.display = 'inline';">&#9651; Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 27 August, 2021; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> August 2021. </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2107.06206">arXiv:2107.06206</a> <span>&nbsp;[<a href="https://arxiv.org/pdf/2107.06206">pdf</a>, <a href="https://arxiv.org/format/2107.06206">other</a>]&nbsp;</span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="Human-Computer Interaction">cs.HC</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Computers and Society">cs.CY</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Machine Learning">cs.LG</span> </div> </div> <p class="title is-5 mathjax"> ML-Quest: A Game for Introducing Machine Learning Concepts to K-12 Students </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/?searchtype=author&amp;query=Priya%2C+S">Shruti Priya</a>, <a href="/search/?searchtype=author&amp;query=Bhadra%2C+S">Shubhankar Bhadra</a>, <a href="/search/?searchtype=author&amp;query=Chimalakonda%2C+S">Sridhar Chimalakonda</a> </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="2107.06206v1-abstract-short" style="display: inline;"> Today, Machine Learning (ML) is of a great importance to society due to the availability of huge data and high computational resources. This ultimately led to the introduction of ML concepts at multiple levels of education including K-12 students to promote computational thinking. However, teaching these concepts to K-12 through traditional methodologies such as video lectures and books is challen&hellip; <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2107.06206v1-abstract-full').style.display = 'inline'; document.getElementById('2107.06206v1-abstract-short').style.display = 'none';">&#9661; More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2107.06206v1-abstract-full" style="display: none;"> Today, Machine Learning (ML) is of a great importance to society due to the availability of huge data and high computational resources. This ultimately led to the introduction of ML concepts at multiple levels of education including K-12 students to promote computational thinking. However, teaching these concepts to K-12 through traditional methodologies such as video lectures and books is challenging. Many studies in the literature have reported that using interactive environments such as games to teach computational thinking and programming improves retention capacity and motivation among students. Therefore, introducing ML concepts using a game might enhance students&#39; understanding of the subject and motivate them to learn further. However, we are not aware of any existing game which explicitly focuses on introducing ML concepts to students using game play. Hence, in this paper, we propose ML-Quest, a 3D video game to provide conceptual overview of three ML concepts: Supervised Learning, Gradient Descent and K-Nearest Neighbor (KNN) Classification. The crux of the game is to introduce the definition and working of these concepts, which we call conceptual overview, in a simulated scenario without overwhelming students with the intricacies of ML. The game has been predominantly evaluated for its usefulness and player experience using the Technology Acceptance Model (TAM) model with the help of 23 higher-secondary school students. The survey result shows that around 70% of the participants either agree or strongly agree that the ML-Quest is quite interactive and useful in introducing them to ML concepts. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2107.06206v1-abstract-full').style.display = 'none'; document.getElementById('2107.06206v1-abstract-short').style.display = 'inline';">&#9651; Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 13 July, 2021; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> July 2021. </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">Comments:</span> <span class="has-text-grey-dark mathjax">13 pages, 5 figures, 3 tables</span> </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2106.15723">arXiv:2106.15723</a> <span>&nbsp;[<a href="https://arxiv.org/pdf/2106.15723">pdf</a>, <a href="https://arxiv.org/format/2106.15723">other</a>]&nbsp;</span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="Instrumentation and Detectors">physics.ins-det</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="High Energy Physics - Experiment">hep-ex</span> </div> <div class="is-inline-block" style="margin-left: 0.5rem"> <div class="tags has-addons"> <span class="tag is-dark is-size-7">doi</span> <span class="tag is-light is-size-7"><a class="" href="https://doi.org/10.1103/PhysRevD.106.112008">10.1103/PhysRevD.106.112008 <i class="fa fa-external-link" aria-hidden="true"></i></a></span> </div> </div> </div> <p class="title is-5 mathjax"> A measurement of proton-carbon forward scattering in a proof-of-principle test of the EMPHATIC spectrometer </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/?searchtype=author&amp;query=Pavin%2C+M">M. Pavin</a>, <a href="/search/?searchtype=author&amp;query=Aliaga-Soplin%2C+L">L. Aliaga-Soplin</a>, <a href="/search/?searchtype=author&amp;query=Barbi%2C+M">M. Barbi</a>, <a href="/search/?searchtype=author&amp;query=Bellantoni%2C+L">L. Bellantoni</a>, <a href="/search/?searchtype=author&amp;query=Bhadra%2C+S">S. Bhadra</a>, <a href="/search/?searchtype=author&amp;query=Ferrazzi%2C+B">B. Ferrazzi</a>, <a href="/search/?searchtype=author&amp;query=Fields%2C+L">L. Fields</a>, <a href="/search/?searchtype=author&amp;query=Fiorentini%2C+A">A. Fiorentini</a>, <a href="/search/?searchtype=author&amp;query=Fukuda%2C+T">T. Fukuda</a>, <a href="/search/?searchtype=author&amp;query=Gameil%2C+K">K. Gameil</a>, <a href="/search/?searchtype=author&amp;query=Hakim%2C+Y+A">Y. Al Hakim</a>, <a href="/search/?searchtype=author&amp;query=Hartz%2C+M">M. Hartz</a>, <a href="/search/?searchtype=author&amp;query=Jamieson%2C+B">B. Jamieson</a>, <a href="/search/?searchtype=author&amp;query=Kiburg%2C+M">M. Kiburg</a>, <a href="/search/?searchtype=author&amp;query=Kolev%2C+N">N. Kolev</a>, <a href="/search/?searchtype=author&amp;query=Kawai%2C+H">H. Kawai</a>, <a href="/search/?searchtype=author&amp;query=Konaka%2C+A">A. Konaka</a>, <a href="/search/?searchtype=author&amp;query=Lebrun%2C+P">P. Lebrun</a>, <a href="/search/?searchtype=author&amp;query=Lindner%2C+T">T. Lindner</a>, <a href="/search/?searchtype=author&amp;query=Mizuno%2C+T">T. Mizuno</a>, <a href="/search/?searchtype=author&amp;query=Naganawa%2C+N">N. Naganawa</a>, <a href="/search/?searchtype=author&amp;query=Paley%2C+J">J. Paley</a>, <a href="/search/?searchtype=author&amp;query=Rivera%2C+R">R. Rivera</a>, <a href="/search/?searchtype=author&amp;query=Santucci%2C+G">G. Santucci</a>, <a href="/search/?searchtype=author&amp;query=Sato%2C+O">O. Sato</a> , et al. (8 additional authors not shown) </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="2106.15723v1-abstract-short" style="display: inline;"> The next generation of long-baseline neutrino experiments will be capable of precision measurements of neutrino oscillation parameters, precision neutrino-nucleus scattering, and unprecedented sensitivity to physics beyond the Standard Model. Reduced uncertainties in neutrino fluxes are necessary to achieve high precision and sensitivity in these future precise neutrino measurements. New measureme&hellip; <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2106.15723v1-abstract-full').style.display = 'inline'; document.getElementById('2106.15723v1-abstract-short').style.display = 'none';">&#9661; More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2106.15723v1-abstract-full" style="display: none;"> The next generation of long-baseline neutrino experiments will be capable of precision measurements of neutrino oscillation parameters, precision neutrino-nucleus scattering, and unprecedented sensitivity to physics beyond the Standard Model. Reduced uncertainties in neutrino fluxes are necessary to achieve high precision and sensitivity in these future precise neutrino measurements. New measurements of hadron-nucleus interaction cross sections are needed to reduce uncertainties of neutrino fluxes. We report measurements of the differential cross-section as a function of scattering angle for proton-carbon interactions with a single charged particle in the final state at beam momenta of 20, 30, and 120 GeV/c. These measurements are the result of a beam test for EMPHATIC, a hadron-scattering and hadron-production experiment. The total, elastic and inelastic cross-sections are also extracted from the data and compared to previous measurements. These results can be used in current and future long-baseline neutrino experiments, and demonstrate the feasibility of future measurements by an upgraded EMPHATIC spectrometer. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2106.15723v1-abstract-full').style.display = 'none'; document.getElementById('2106.15723v1-abstract-short').style.display = 'inline';">&#9651; Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 29 June, 2021; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> June 2021. </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2106.14324">arXiv:2106.14324</a> <span>&nbsp;[<a href="https://arxiv.org/pdf/2106.14324">pdf</a>, <a href="https://arxiv.org/format/2106.14324">other</a>]&nbsp;</span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="Image and Video Processing">eess.IV</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Computer Vision and Pattern Recognition">cs.CV</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Machine Learning">cs.LG</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Machine Learning">stat.ML</span> </div> <div class="is-inline-block" style="margin-left: 0.5rem"> <div class="tags has-addons"> <span class="tag is-dark is-size-7">doi</span> <span class="tag is-light is-size-7"><a class="" href="https://doi.org/10.1117/1.JMI.9.1.015503">10.1117/1.JMI.9.1.015503 <i class="fa fa-external-link" aria-hidden="true"></i></a></span> </div> </div> </div> <p class="title is-5 mathjax"> Learning stochastic object models from medical imaging measurements by use of advanced ambient generative adversarial networks </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/?searchtype=author&amp;query=Zhou%2C+W">Weimin Zhou</a>, <a href="/search/?searchtype=author&amp;query=Bhadra%2C+S">Sayantan Bhadra</a>, <a href="/search/?searchtype=author&amp;query=Brooks%2C+F+J">Frank J. Brooks</a>, <a href="/search/?searchtype=author&amp;query=Li%2C+H">Hua Li</a>, <a href="/search/?searchtype=author&amp;query=Anastasio%2C+M+A">Mark A. Anastasio</a> </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="2106.14324v2-abstract-short" style="display: inline;"> Purpose: To objectively assess new medical imaging technologies via computer-simulations, it is important to account for the variability in the ensemble of objects to be imaged. This source of variability can be described by stochastic object models (SOMs). It is generally desirable to establish SOMs from experimental imaging measurements acquired by use of a well-characterized imaging system, but&hellip; <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2106.14324v2-abstract-full').style.display = 'inline'; document.getElementById('2106.14324v2-abstract-short').style.display = 'none';">&#9661; More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2106.14324v2-abstract-full" style="display: none;"> Purpose: To objectively assess new medical imaging technologies via computer-simulations, it is important to account for the variability in the ensemble of objects to be imaged. This source of variability can be described by stochastic object models (SOMs). It is generally desirable to establish SOMs from experimental imaging measurements acquired by use of a well-characterized imaging system, but this task has remained challenging. Approach: A generative adversarial network (GAN)-based method that employs AmbientGANs with modern progressive or multiresolution training approaches is proposed. AmbientGANs established using the proposed training procedure are systematically validated in a controlled way using computer-simulated magnetic resonance imaging (MRI) data corresponding to a stylized imaging system. Emulated single-coil experimental MRI data are also employed to demonstrate the methods under less stylized conditions. Results: The proposed AmbientGAN method can generate clean images when the imaging measurements are contaminated by measurement noise. When the imaging measurement data are incomplete, the proposed AmbientGAN can reliably learn the distribution of the measurement components of the objects. Conclusions: Both visual examinations and quantitative analyses, including task-specific validations using the Hotelling observer, demonstrated that the proposed AmbientGAN method holds promise to establish realistic SOMs from imaging measurements. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2106.14324v2-abstract-full').style.display = 'none'; document.getElementById('2106.14324v2-abstract-short').style.display = 'inline';">&#9651; Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 27 February, 2022; <span class="has-text-black-bis has-text-weight-semibold">v1</span> submitted 27 June, 2021; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> June 2021. </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">Comments:</span> <span class="has-text-grey-dark mathjax">Journal of Medical Imaging</span> </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">Journal ref:</span> J. Med. Imag. 9(1), 015503 (2022) </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2102.03346">arXiv:2102.03346</a> <span>&nbsp;[<a href="https://arxiv.org/pdf/2102.03346">pdf</a>, <a href="https://arxiv.org/format/2102.03346">other</a>]&nbsp;</span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="High Energy Physics - Experiment">hep-ex</span> </div> <div class="is-inline-block" style="margin-left: 0.5rem"> <div class="tags has-addons"> <span class="tag is-dark is-size-7">doi</span> <span class="tag is-light is-size-7"><a class="" href="https://doi.org/10.1103/PhysRevD.103.112009">10.1103/PhysRevD.103.112009 <i class="fa fa-external-link" aria-hidden="true"></i></a></span> </div> </div> </div> <p class="title is-5 mathjax"> First T2K measurement of transverse kinematic imbalance in the muon-neutrino charged-current single-$蟺^+$ production channel containing at least one proton </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/?searchtype=author&amp;query=Abe%2C+K">K. Abe</a>, <a href="/search/?searchtype=author&amp;query=Akhlaq%2C+N">N. Akhlaq</a>, <a href="/search/?searchtype=author&amp;query=Akutsu%2C+R">R. Akutsu</a>, <a href="/search/?searchtype=author&amp;query=Ali%2C+A">A. Ali</a>, <a href="/search/?searchtype=author&amp;query=Alt%2C+C">C. Alt</a>, <a href="/search/?searchtype=author&amp;query=Andreopoulos%2C+C">C. Andreopoulos</a>, <a href="/search/?searchtype=author&amp;query=Antonova%2C+M">M. Antonova</a>, <a href="/search/?searchtype=author&amp;query=Aoki%2C+S">S. Aoki</a>, <a href="/search/?searchtype=author&amp;query=Arihara%2C+T">T. Arihara</a>, <a href="/search/?searchtype=author&amp;query=Asada%2C+Y">Y. Asada</a>, <a href="/search/?searchtype=author&amp;query=Ashida%2C+Y">Y. Ashida</a>, <a href="/search/?searchtype=author&amp;query=Atkin%2C+E+T">E. T. Atkin</a>, <a href="/search/?searchtype=author&amp;query=Awataguchi%2C+Y">Y. Awataguchi</a>, <a href="/search/?searchtype=author&amp;query=Barker%2C+G+J">G. J. Barker</a>, <a href="/search/?searchtype=author&amp;query=Barr%2C+G">G. Barr</a>, <a href="/search/?searchtype=author&amp;query=Barrow%2C+D">D. Barrow</a>, <a href="/search/?searchtype=author&amp;query=Batkiewicz-Kwasniak%2C+M">M. Batkiewicz-Kwasniak</a>, <a href="/search/?searchtype=author&amp;query=Beloshapkin%2C+A">A. Beloshapkin</a>, <a href="/search/?searchtype=author&amp;query=Bench%2C+F">F. Bench</a>, <a href="/search/?searchtype=author&amp;query=Berardi%2C+V">V. Berardi</a>, <a href="/search/?searchtype=author&amp;query=Berns%2C+L">L. Berns</a>, <a href="/search/?searchtype=author&amp;query=Bhadra%2C+S">S. Bhadra</a>, <a href="/search/?searchtype=author&amp;query=Blanchet%2C+A">A. Blanchet</a>, <a href="/search/?searchtype=author&amp;query=Blondel%2C+A">A. Blondel</a>, <a href="/search/?searchtype=author&amp;query=Bolognesi%2C+S">S. Bolognesi</a> , et al. (286 additional authors not shown) </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="2102.03346v1-abstract-short" style="display: inline;"> This paper reports the first T2K measurement of the transverse kinematic imbalance in the single-$蟺^+$ production channel of neutrino interactions. We measure the differential cross sections in the muon-neutrino charged-current interaction on hydrocarbon with a single $蟺^+$ and at least one proton in the final state, at the ND280 off-axis near detector of the T2K experiment. The extracted cross se&hellip; <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2102.03346v1-abstract-full').style.display = 'inline'; document.getElementById('2102.03346v1-abstract-short').style.display = 'none';">&#9661; More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2102.03346v1-abstract-full" style="display: none;"> This paper reports the first T2K measurement of the transverse kinematic imbalance in the single-$蟺^+$ production channel of neutrino interactions. We measure the differential cross sections in the muon-neutrino charged-current interaction on hydrocarbon with a single $蟺^+$ and at least one proton in the final state, at the ND280 off-axis near detector of the T2K experiment. The extracted cross sections are compared to the predictions from different neutrino-nucleus interaction event generators. Overall, the results show a preference for models which have a more realistic treatment of nuclear medium effects including the initial nuclear state and final-state interactions. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2102.03346v1-abstract-full').style.display = 'none'; document.getElementById('2102.03346v1-abstract-short').style.display = 'inline';">&#9651; Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 5 February, 2021; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> February 2021. </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">Journal ref:</span> Phys. Rev. D 103, 112009 (2021) </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2102.00281">arXiv:2102.00281</a> <span>&nbsp;[<a href="https://arxiv.org/pdf/2102.00281">pdf</a>, <a href="https://arxiv.org/format/2102.00281">other</a>]&nbsp;</span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="Image and Video Processing">eess.IV</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Computer Vision and Pattern Recognition">cs.CV</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Machine Learning">cs.LG</span> </div> </div> <p class="title is-5 mathjax"> Advancing the AmbientGAN for learning stochastic object models </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/?searchtype=author&amp;query=Zhou%2C+W">Weimin Zhou</a>, <a href="/search/?searchtype=author&amp;query=Bhadra%2C+S">Sayantan Bhadra</a>, <a href="/search/?searchtype=author&amp;query=Brooks%2C+F+J">Frank J. Brooks</a>, <a href="/search/?searchtype=author&amp;query=Granstedt%2C+J+L">Jason L. Granstedt</a>, <a href="/search/?searchtype=author&amp;query=Li%2C+H">Hua Li</a>, <a href="/search/?searchtype=author&amp;query=Anastasio%2C+M+A">Mark A. Anastasio</a> </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="2102.00281v1-abstract-short" style="display: inline;"> Medical imaging systems are commonly assessed and optimized by use of objective-measures of image quality (IQ) that quantify the performance of an observer at specific tasks. Variation in the objects to-be-imaged is an important source of variability that can significantly limit observer performance. This object variability can be described by stochastic object models (SOMs). In order to establish&hellip; <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2102.00281v1-abstract-full').style.display = 'inline'; document.getElementById('2102.00281v1-abstract-short').style.display = 'none';">&#9661; More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2102.00281v1-abstract-full" style="display: none;"> Medical imaging systems are commonly assessed and optimized by use of objective-measures of image quality (IQ) that quantify the performance of an observer at specific tasks. Variation in the objects to-be-imaged is an important source of variability that can significantly limit observer performance. This object variability can be described by stochastic object models (SOMs). In order to establish SOMs that can accurately model realistic object variability, it is desirable to use experimental data. To achieve this, an augmented generative adversarial network (GAN) architecture called AmbientGAN has been developed and investigated. However, AmbientGANs cannot be immediately trained by use of advanced GAN training methods such as the progressive growing of GANs (ProGANs). Therefore, the ability of AmbientGANs to establish realistic object models is limited. To circumvent this, a progressively-growing AmbientGAN (ProAmGAN) has been proposed. However, ProAmGANs are designed for generating two-dimensional (2D) images while medical imaging modalities are commonly employed for imaging three-dimensional (3D) objects. Moreover, ProAmGANs that employ traditional generator architectures lack the ability to control specific image features such as fine-scale textures that are frequently considered when optimizing imaging systems. In this study, we address these limitations by proposing two advanced AmbientGAN architectures: 3D ProAmGANs and Style-AmbientGANs (StyAmGANs). Stylized numerical studies involving magnetic resonance (MR) imaging systems are conducted. The ability of 3D ProAmGANs to learn 3D SOMs from imaging measurements and the ability of StyAmGANs to control fine-scale textures of synthesized objects are demonstrated. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2102.00281v1-abstract-full').style.display = 'none'; document.getElementById('2102.00281v1-abstract-short').style.display = 'inline';">&#9651; Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 30 January, 2021; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> February 2021. </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">Comments:</span> <span class="has-text-grey-dark mathjax">SPIE Medical Imaging 2021</span> </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2101.05269">arXiv:2101.05269</a> <span>&nbsp;[<a href="https://arxiv.org/pdf/2101.05269">pdf</a>, <a href="https://arxiv.org/format/2101.05269">other</a>]&nbsp;</span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="Instrumentation and Methods for Astrophysics">astro-ph.IM</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="High Energy Astrophysical Phenomena">astro-ph.HE</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="High Energy Physics - Experiment">hep-ex</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Instrumentation and Detectors">physics.ins-det</span> </div> <div class="is-inline-block" style="margin-left: 0.5rem"> <div class="tags has-addons"> <span class="tag is-dark is-size-7">doi</span> <span class="tag is-light is-size-7"><a class="" href="https://doi.org/10.3847/1538-4357/abf7c4">10.3847/1538-4357/abf7c4 <i class="fa fa-external-link" aria-hidden="true"></i></a></span> </div> </div> </div> <p class="title is-5 mathjax"> Supernova Model Discrimination with Hyper-Kamiokande </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/?searchtype=author&amp;query=Collaboration%2C+H">Hyper-Kamiokande Collaboration</a>, <a href="/search/?searchtype=author&amp;query=%3A"> :</a>, <a href="/search/?searchtype=author&amp;query=Abe%2C+K">K. Abe</a>, <a href="/search/?searchtype=author&amp;query=Adrich%2C+P">P. Adrich</a>, <a href="/search/?searchtype=author&amp;query=Aihara%2C+H">H. Aihara</a>, <a href="/search/?searchtype=author&amp;query=Akutsu%2C+R">R. Akutsu</a>, <a href="/search/?searchtype=author&amp;query=Alekseev%2C+I">I. Alekseev</a>, <a href="/search/?searchtype=author&amp;query=Ali%2C+A">A. Ali</a>, <a href="/search/?searchtype=author&amp;query=Ameli%2C+F">F. Ameli</a>, <a href="/search/?searchtype=author&amp;query=Anghel%2C+I">I. Anghel</a>, <a href="/search/?searchtype=author&amp;query=Anthony%2C+L+H+V">L. H. V. Anthony</a>, <a href="/search/?searchtype=author&amp;query=Antonova%2C+M">M. Antonova</a>, <a href="/search/?searchtype=author&amp;query=Araya%2C+A">A. Araya</a>, <a href="/search/?searchtype=author&amp;query=Asaoka%2C+Y">Y. Asaoka</a>, <a href="/search/?searchtype=author&amp;query=Ashida%2C+Y">Y. Ashida</a>, <a href="/search/?searchtype=author&amp;query=Aushev%2C+V">V. Aushev</a>, <a href="/search/?searchtype=author&amp;query=Ballester%2C+F">F. Ballester</a>, <a href="/search/?searchtype=author&amp;query=Bandac%2C+I">I. Bandac</a>, <a href="/search/?searchtype=author&amp;query=Barbi%2C+M">M. Barbi</a>, <a href="/search/?searchtype=author&amp;query=Barker%2C+G+J">G. J. Barker</a>, <a href="/search/?searchtype=author&amp;query=Barr%2C+G">G. Barr</a>, <a href="/search/?searchtype=author&amp;query=Batkiewicz-Kwasniak%2C+M">M. Batkiewicz-Kwasniak</a>, <a href="/search/?searchtype=author&amp;query=Bellato%2C+M">M. Bellato</a>, <a href="/search/?searchtype=author&amp;query=Berardi%2C+V">V. Berardi</a>, <a href="/search/?searchtype=author&amp;query=Bergevin%2C+M">M. Bergevin</a> , et al. (478 additional authors not shown) </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="2101.05269v2-abstract-short" style="display: inline;"> Core-collapse supernovae are among the most magnificent events in the observable universe. They produce many of the chemical elements necessary for life to exist and their remnants -- neutron stars and black holes -- are interesting astrophysical objects in their own right. However, despite millennia of observations and almost a century of astrophysical study, the explosion mechanism of core-colla&hellip; <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2101.05269v2-abstract-full').style.display = 'inline'; document.getElementById('2101.05269v2-abstract-short').style.display = 'none';">&#9661; More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2101.05269v2-abstract-full" style="display: none;"> Core-collapse supernovae are among the most magnificent events in the observable universe. They produce many of the chemical elements necessary for life to exist and their remnants -- neutron stars and black holes -- are interesting astrophysical objects in their own right. However, despite millennia of observations and almost a century of astrophysical study, the explosion mechanism of core-collapse supernovae is not yet well understood. Hyper-Kamiokande is a next-generation neutrino detector that will be able to observe the neutrino flux from the next galactic core-collapse supernova in unprecedented detail. We focus on the first 500 ms of the neutrino burst, corresponding to the accretion phase, and use a newly-developed, high-precision supernova event generator to simulate Hyper-Kamiokande&#39;s response to five different supernova models. We show that Hyper-Kamiokande will be able to distinguish between these models with high accuracy for a supernova at a distance of up to 100 kpc. Once the next galactic supernova happens, this ability will be a powerful tool for guiding simulations towards a precise reproduction of the explosion mechanism observed in nature. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2101.05269v2-abstract-full').style.display = 'none'; document.getElementById('2101.05269v2-abstract-short').style.display = 'inline';">&#9651; Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 20 July, 2021; <span class="has-text-black-bis has-text-weight-semibold">v1</span> submitted 13 January, 2021; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> January 2021. </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">Comments:</span> <span class="has-text-grey-dark mathjax">21 pages, 7 figures. Article based on thesis published as arXiv:2002.01649. v2: added references and some explanations in response to reviewer comments</span> </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">Journal ref:</span> Astrophys.J. 916 (2021) 15 </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2101.03779">arXiv:2101.03779</a> <span>&nbsp;[<a href="https://arxiv.org/pdf/2101.03779">pdf</a>, <a href="https://arxiv.org/format/2101.03779">other</a>]&nbsp;</span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="High Energy Physics - Experiment">hep-ex</span> </div> <div class="is-inline-block" style="margin-left: 0.5rem"> <div class="tags has-addons"> <span class="tag is-dark is-size-7">doi</span> <span class="tag is-light is-size-7"><a class="" href="https://doi.org/10.1103/PhysRevD.103.112008">10.1103/PhysRevD.103.112008 <i class="fa fa-external-link" aria-hidden="true"></i></a></span> </div> </div> </div> <p class="title is-5 mathjax"> Improved constraints on neutrino mixing from the T2K experiment with $\mathbf{3.13\times10^{21}}$ protons on target </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/?searchtype=author&amp;query=T2K+Collaboration"> T2K Collaboration</a>, <a href="/search/?searchtype=author&amp;query=Abe%2C+K">K. Abe</a>, <a href="/search/?searchtype=author&amp;query=Akhlaq%2C+N">N. Akhlaq</a>, <a href="/search/?searchtype=author&amp;query=Akutsu%2C+R">R. Akutsu</a>, <a href="/search/?searchtype=author&amp;query=Ali%2C+A">A. Ali</a>, <a href="/search/?searchtype=author&amp;query=Alt%2C+C">C. Alt</a>, <a href="/search/?searchtype=author&amp;query=Andreopoulos%2C+C">C. Andreopoulos</a>, <a href="/search/?searchtype=author&amp;query=Antonova%2C+M">M. Antonova</a>, <a href="/search/?searchtype=author&amp;query=Aoki%2C+S">S. Aoki</a>, <a href="/search/?searchtype=author&amp;query=Arihara%2C+T">T. Arihara</a>, <a href="/search/?searchtype=author&amp;query=Asada%2C+Y">Y. Asada</a>, <a href="/search/?searchtype=author&amp;query=Ashida%2C+Y">Y. Ashida</a>, <a href="/search/?searchtype=author&amp;query=Atkin%2C+E+T">E. T. Atkin</a>, <a href="/search/?searchtype=author&amp;query=Awataguchi%2C+Y">Y. Awataguchi</a>, <a href="/search/?searchtype=author&amp;query=Barker%2C+G+J">G. J. Barker</a>, <a href="/search/?searchtype=author&amp;query=Barr%2C+G">G. Barr</a>, <a href="/search/?searchtype=author&amp;query=Barrow%2C+D">D. Barrow</a>, <a href="/search/?searchtype=author&amp;query=Batkiewicz-Kwasniak%2C+M">M. Batkiewicz-Kwasniak</a>, <a href="/search/?searchtype=author&amp;query=Beloshapkin%2C+A">A. Beloshapkin</a>, <a href="/search/?searchtype=author&amp;query=Bench%2C+F">F. Bench</a>, <a href="/search/?searchtype=author&amp;query=Berardi%2C+V">V. Berardi</a>, <a href="/search/?searchtype=author&amp;query=Berns%2C+L">L. Berns</a>, <a href="/search/?searchtype=author&amp;query=Bhadra%2C+S">S. Bhadra</a>, <a href="/search/?searchtype=author&amp;query=Blanchet%2C+A">A. Blanchet</a>, <a href="/search/?searchtype=author&amp;query=Blondel%2C+A">A. Blondel</a> , et al. (285 additional authors not shown) </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="2101.03779v3-abstract-short" style="display: inline;"> The T2K experiment reports updated measurements of neutrino and antineutrino oscillations using both appearance and disappearance channels. This result comes from an exposure of $14.9~(16.4) \times 10^{20}$ protons on target in neutrino (antineutrino) mode. Significant improvements have been made to the neutrino interaction model and far detector reconstruction. An extensive set of simulated data&hellip; <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2101.03779v3-abstract-full').style.display = 'inline'; document.getElementById('2101.03779v3-abstract-short').style.display = 'none';">&#9661; More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2101.03779v3-abstract-full" style="display: none;"> The T2K experiment reports updated measurements of neutrino and antineutrino oscillations using both appearance and disappearance channels. This result comes from an exposure of $14.9~(16.4) \times 10^{20}$ protons on target in neutrino (antineutrino) mode. Significant improvements have been made to the neutrino interaction model and far detector reconstruction. An extensive set of simulated data studies have also been performed to quantify the effect interaction model uncertainties have on the T2K oscillation parameter sensitivity. T2K performs multiple oscillation analyses that present both frequentist and Bayesian intervals for the PMNS parameters. For fits including a constraint on \ssqthonethree from reactor data and assuming normal mass ordering T2K measures $\sin^2胃_{23} = 0.53^{+0.03}_{-0.04}$ and $螖m^2_{32} = (2.45 \pm 0.07) \times 10^{-3}$ eV$^{2}$c$^{-4}$. The Bayesian analyses show a weak preference for normal mass ordering (89% posterior probability) and the upper $\sin^2胃_{23}$ octant (80% posterior probability), with a uniform prior probability assumed in both cases. The T2K data exclude CP conservation in neutrino oscillations at the $2蟽$ level. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2101.03779v3-abstract-full').style.display = 'none'; document.getElementById('2101.03779v3-abstract-short').style.display = 'inline';">&#9651; Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 23 February, 2021; <span class="has-text-black-bis has-text-weight-semibold">v1</span> submitted 11 January, 2021; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> January 2021. </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">Comments:</span> <span class="has-text-grey-dark mathjax">Update figure formatting</span> </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">Journal ref:</span> Phys. Rev. D 103, 112008 (2021) </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2012.00646">arXiv:2012.00646</a> <span>&nbsp;[<a href="https://arxiv.org/pdf/2012.00646">pdf</a>, <a href="https://arxiv.org/format/2012.00646">other</a>]&nbsp;</span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="Image and Video Processing">eess.IV</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Machine Learning">cs.LG</span> </div> </div> <p class="title is-5 mathjax"> On hallucinations in tomographic image reconstruction </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/?searchtype=author&amp;query=Bhadra%2C+S">Sayantan Bhadra</a>, <a href="/search/?searchtype=author&amp;query=Kelkar%2C+V+A">Varun A. Kelkar</a>, <a href="/search/?searchtype=author&amp;query=Brooks%2C+F+J">Frank J. Brooks</a>, <a href="/search/?searchtype=author&amp;query=Anastasio%2C+M+A">Mark A. Anastasio</a> </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="2012.00646v3-abstract-short" style="display: inline;"> Tomographic image reconstruction is generally an ill-posed linear inverse problem. Such ill-posed inverse problems are typically regularized using prior knowledge of the sought-after object property. Recently, deep neural networks have been actively investigated for regularizing image reconstruction problems by learning a prior for the object properties from training images. However, an analysis o&hellip; <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2012.00646v3-abstract-full').style.display = 'inline'; document.getElementById('2012.00646v3-abstract-short').style.display = 'none';">&#9661; More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2012.00646v3-abstract-full" style="display: none;"> Tomographic image reconstruction is generally an ill-posed linear inverse problem. Such ill-posed inverse problems are typically regularized using prior knowledge of the sought-after object property. Recently, deep neural networks have been actively investigated for regularizing image reconstruction problems by learning a prior for the object properties from training images. However, an analysis of the prior information learned by these deep networks and their ability to generalize to data that may lie outside the training distribution is still being explored. An inaccurate prior might lead to false structures being hallucinated in the reconstructed image and that is a cause for serious concern in medical imaging. In this work, we propose to illustrate the effect of the prior imposed by a reconstruction method by decomposing the image estimate into generalized measurement and null components. The concept of a hallucination map is introduced for the general purpose of understanding the effect of the prior in regularized reconstruction methods. Numerical studies are conducted corresponding to a stylized tomographic imaging modality. The behavior of different reconstruction methods under the proposed formalism is discussed with the help of the numerical studies. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2012.00646v3-abstract-full').style.display = 'none'; document.getElementById('2012.00646v3-abstract-short').style.display = 'inline';">&#9651; Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 26 September, 2021; <span class="has-text-black-bis has-text-weight-semibold">v1</span> submitted 1 December, 2020; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> December 2020. </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">Comments:</span> <span class="has-text-grey-dark mathjax">Updated version after acceptance in final round of review</span> </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2009.00794">arXiv:2009.00794</a> <span>&nbsp;[<a href="https://arxiv.org/pdf/2009.00794">pdf</a>, <a href="https://arxiv.org/ps/2009.00794">ps</a>, <a href="https://arxiv.org/format/2009.00794">other</a>]&nbsp;</span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="Instrumentation and Detectors">physics.ins-det</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="High Energy Physics - Experiment">hep-ex</span> </div> </div> <p class="title is-5 mathjax"> The Hyper-Kamiokande Experiment -- Snowmass LOI </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/?searchtype=author&amp;query=Collaboration%2C+H">Hyper-Kamiokande Collaboration</a>, <a href="/search/?searchtype=author&amp;query=%3A"> :</a>, <a href="/search/?searchtype=author&amp;query=Abe%2C+K">K. Abe</a>, <a href="/search/?searchtype=author&amp;query=Adrich%2C+P">P. Adrich</a>, <a href="/search/?searchtype=author&amp;query=Aihara%2C+H">H. Aihara</a>, <a href="/search/?searchtype=author&amp;query=Akutsu%2C+R">R. Akutsu</a>, <a href="/search/?searchtype=author&amp;query=Alekseev%2C+I">I. Alekseev</a>, <a href="/search/?searchtype=author&amp;query=Ali%2C+A">A. Ali</a>, <a href="/search/?searchtype=author&amp;query=Ameli%2C+F">F. Ameli</a>, <a href="/search/?searchtype=author&amp;query=Anthony%2C+L+H+V">L. H. V. Anthony</a>, <a href="/search/?searchtype=author&amp;query=Araya%2C+A">A. Araya</a>, <a href="/search/?searchtype=author&amp;query=Asaoka%2C+Y">Y. Asaoka</a>, <a href="/search/?searchtype=author&amp;query=Aushev%2C+V">V. Aushev</a>, <a href="/search/?searchtype=author&amp;query=Bandac%2C+I">I. Bandac</a>, <a href="/search/?searchtype=author&amp;query=Barbi%2C+M">M. Barbi</a>, <a href="/search/?searchtype=author&amp;query=Barr%2C+G">G. Barr</a>, <a href="/search/?searchtype=author&amp;query=Batkiewicz-Kwasniak%2C+M">M. Batkiewicz-Kwasniak</a>, <a href="/search/?searchtype=author&amp;query=Bellato%2C+M">M. Bellato</a>, <a href="/search/?searchtype=author&amp;query=Berardi%2C+V">V. Berardi</a>, <a href="/search/?searchtype=author&amp;query=Bernard%2C+L">L. Bernard</a>, <a href="/search/?searchtype=author&amp;query=Bernardini%2C+E">E. Bernardini</a>, <a href="/search/?searchtype=author&amp;query=Berns%2C+L">L. Berns</a>, <a href="/search/?searchtype=author&amp;query=Bhadra%2C+S">S. Bhadra</a>, <a href="/search/?searchtype=author&amp;query=Bian%2C+J">J. Bian</a>, <a href="/search/?searchtype=author&amp;query=Blanchet%2C+A">A. Blanchet</a> , et al. (366 additional authors not shown) </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="2009.00794v1-abstract-short" style="display: inline;"> Hyper-Kamiokande is the next generation underground water Cherenkov detector that builds on the highly successful Super-Kamiokande experiment. The detector which has an 8.4~times larger effective volume than its predecessor will be located along the T2K neutrino beamline and utilize an upgraded J-PARC beam with 2.6~times beam power. Hyper-K&#39;s low energy threshold combined with the very large fiduc&hellip; <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2009.00794v1-abstract-full').style.display = 'inline'; document.getElementById('2009.00794v1-abstract-short').style.display = 'none';">&#9661; More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2009.00794v1-abstract-full" style="display: none;"> Hyper-Kamiokande is the next generation underground water Cherenkov detector that builds on the highly successful Super-Kamiokande experiment. The detector which has an 8.4~times larger effective volume than its predecessor will be located along the T2K neutrino beamline and utilize an upgraded J-PARC beam with 2.6~times beam power. Hyper-K&#39;s low energy threshold combined with the very large fiducial volume make the detector unique, that is expected to acquire an unprecedented exposure of 3.8~Mton$\cdot$year over a period of 20~years of operation. Hyper-Kamiokande combines an extremely diverse science program including nucleon decays, long-baseline neutrino oscillations, atmospheric neutrinos, and neutrinos from astrophysical origins. The scientific scope of this program is highly complementary to liquid-argon detectors for example in sensitivity to nucleon decay channels or supernova detection modes. Hyper-Kamiokande construction has started in early 2020 and the experiment is expected to start operations in 2027. The Hyper-Kamiokande collaboration is presently being formed amongst groups from 19 countries including the United States, whose community has a long history of making significant contributions to the neutrino physics program in Japan. US physicists have played leading roles in the Kamiokande, Super-Kamiokande, EGADS, K2K, and T2K programs. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2009.00794v1-abstract-full').style.display = 'none'; document.getElementById('2009.00794v1-abstract-short').style.display = 'inline';">&#9651; Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 1 September, 2020; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> September 2020. </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">Comments:</span> <span class="has-text-grey-dark mathjax">6 pages, prepared as Snowmass2021 LOI</span> </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2008.09893">arXiv:2008.09893</a> <span>&nbsp;[<a href="https://arxiv.org/pdf/2008.09893">pdf</a>, <a href="https://arxiv.org/format/2008.09893">other</a>]&nbsp;</span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="Soft Condensed Matter">cond-mat.soft</span> </div> </div> <p class="title is-5 mathjax"> Vibrational Effects on the Coefficient of Restitution </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/?searchtype=author&amp;query=Bhadra%2C+S">Satyanu Bhadra</a>, <a href="/search/?searchtype=author&amp;query=Ghosh%2C+S">Shankar Ghosh</a> </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="2008.09893v1-abstract-short" style="display: inline;"> A ball dropped from a given height onto a surface, will bounce repeatedly before coming to rest. A ball bouncing on a thick plate will behave very differently than a ball bouncing off the thin lid of a container. For a plate with a fixed thickness, a ball bouncing at the edge of a plate will be very different from the ball bouncing off the middle of the plate. We study the coefficient of restituti&hellip; <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2008.09893v1-abstract-full').style.display = 'inline'; document.getElementById('2008.09893v1-abstract-short').style.display = 'none';">&#9661; More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2008.09893v1-abstract-full" style="display: none;"> A ball dropped from a given height onto a surface, will bounce repeatedly before coming to rest. A ball bouncing on a thick plate will behave very differently than a ball bouncing off the thin lid of a container. For a plate with a fixed thickness, a ball bouncing at the edge of a plate will be very different from the ball bouncing off the middle of the plate. We study the coefficient of restitution $蔚$ for a steel ball bouncing steel plates of various thicknesses. We observe how $蔚$ changes as the ball repeated bounces and finally comes to rest. Generally, $蔚&lt; 1$ due to the dissipation of kinetic energy of the ball into the plate. However this dissipated energy can come back into ball in its later bounces. We see the emergence of super-elastic collisions ($蔚&gt; 1$), implying that the ball gained Kinetic Energy due to the collision with the plate. We can increase the probability of such super-elastic collisions (P$_{SE}$) by adding a spring to the ball. We construct a simple theoretical model where the energy lost from previous collisions are transferred back into later ones. This model is able to simulate the occurrence of such super-elastic collisions. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2008.09893v1-abstract-full').style.display = 'none'; document.getElementById('2008.09893v1-abstract-short').style.display = 'inline';">&#9651; Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 22 August, 2020; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> August 2020. </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2008.07921">arXiv:2008.07921</a> <span>&nbsp;[<a href="https://arxiv.org/pdf/2008.07921">pdf</a>, <a href="https://arxiv.org/format/2008.07921">other</a>]&nbsp;</span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="High Energy Physics - Experiment">hep-ex</span> </div> <div class="is-inline-block" style="margin-left: 0.5rem"> <div class="tags has-addons"> <span class="tag is-dark is-size-7">doi</span> <span class="tag is-light is-size-7"><a class="" href="https://doi.org/10.1103/PhysRevD.103.L011101">10.1103/PhysRevD.103.L011101 <i class="fa fa-external-link" aria-hidden="true"></i></a></span> </div> </div> </div> <p class="title is-5 mathjax"> T2K measurements of muon neutrino and antineutrino disappearance using $3.13\times 10^{21}$ protons on target </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/?searchtype=author&amp;query=Abe%2C+K">K. Abe</a>, <a href="/search/?searchtype=author&amp;query=Akhlaq%2C+N">N. Akhlaq</a>, <a href="/search/?searchtype=author&amp;query=Akutsu%2C+R">R. Akutsu</a>, <a href="/search/?searchtype=author&amp;query=Ali%2C+A">A. Ali</a>, <a href="/search/?searchtype=author&amp;query=Alt%2C+C">C. Alt</a>, <a href="/search/?searchtype=author&amp;query=Andreopoulos%2C+C">C. Andreopoulos</a>, <a href="/search/?searchtype=author&amp;query=Antonova%2C+M">M. Antonova</a>, <a href="/search/?searchtype=author&amp;query=Aoki%2C+S">S. Aoki</a>, <a href="/search/?searchtype=author&amp;query=Arihara%2C+T">T. Arihara</a>, <a href="/search/?searchtype=author&amp;query=Asada%2C+Y">Y. Asada</a>, <a href="/search/?searchtype=author&amp;query=Ashida%2C+Y">Y. Ashida</a>, <a href="/search/?searchtype=author&amp;query=Atkin%2C+E+T">E. T. Atkin</a>, <a href="/search/?searchtype=author&amp;query=Awataguchi%2C+Y">Y. Awataguchi</a>, <a href="/search/?searchtype=author&amp;query=Barker%2C+G+J">G. J. Barker</a>, <a href="/search/?searchtype=author&amp;query=Barr%2C+G">G. Barr</a>, <a href="/search/?searchtype=author&amp;query=Barrow%2C+D">D. Barrow</a>, <a href="/search/?searchtype=author&amp;query=Batkiewicz-Kwasniak%2C+M">M. Batkiewicz-Kwasniak</a>, <a href="/search/?searchtype=author&amp;query=Beloshapkin%2C+A">A. Beloshapkin</a>, <a href="/search/?searchtype=author&amp;query=Bench%2C+F">F. Bench</a>, <a href="/search/?searchtype=author&amp;query=Berardi%2C+V">V. Berardi</a>, <a href="/search/?searchtype=author&amp;query=Berns%2C+L">L. Berns</a>, <a href="/search/?searchtype=author&amp;query=Bhadra%2C+S">S. Bhadra</a>, <a href="/search/?searchtype=author&amp;query=Bolognesi%2C+S">S. Bolognesi</a>, <a href="/search/?searchtype=author&amp;query=Bonus%2C+T">T. Bonus</a>, <a href="/search/?searchtype=author&amp;query=Bourguille%2C+B">B. Bourguille</a> , et al. (381 additional authors not shown) </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="2008.07921v2-abstract-short" style="display: inline;"> We report measurements by the T2K experiment of the parameters $胃_{23}$ and $螖m^2_{32}$ which govern the disappearance of muon neutrinos and antineutrinos in the three-flavor PMNS neutrino oscillation model at T2K&#39;s neutrino energy and propagation distance. Utilizing the ability of the experiment to run with either a mainly neutrino or a mainly antineutrino beam, muon-like events from each beam mo&hellip; <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2008.07921v2-abstract-full').style.display = 'inline'; document.getElementById('2008.07921v2-abstract-short').style.display = 'none';">&#9661; More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2008.07921v2-abstract-full" style="display: none;"> We report measurements by the T2K experiment of the parameters $胃_{23}$ and $螖m^2_{32}$ which govern the disappearance of muon neutrinos and antineutrinos in the three-flavor PMNS neutrino oscillation model at T2K&#39;s neutrino energy and propagation distance. Utilizing the ability of the experiment to run with either a mainly neutrino or a mainly antineutrino beam, muon-like events from each beam mode are used to measure these parameters separately for neutrino and antineutrino oscillations. Data taken from $1.49 \times 10^{21}$ protons on target (POT) in neutrino mode and $1.64 \times 10^{21}$ POT in antineutrino mode are used. The best-fit values obtained by T2K were $\sin^2\left(胃_{23}\right)=0.51^{+0.06}_{-0.07} \left(0.43^{+0.21}_{-0.05}\right)$ and $螖m^2_{32}=2.47^{+0.08}_{-0.09} \left(2.50^{+0.18}_{-0.13}\right)$\evmass for neutrinos (antineutrinos). No significant differences between the values of the parameters describing the disappearance of muon neutrinos and antineutrinos were observed. An analysis using an effective two-flavor neutrino oscillation model where the sine of the mixing angle is allowed to take non-physical values larger than 1 is also performed to check the consistency of our data with the three-flavor model. Our data were found to be consistent with a physical value for the mixing angle. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2008.07921v2-abstract-full').style.display = 'none'; document.getElementById('2008.07921v2-abstract-short').style.display = 'inline';">&#9651; Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 16 December, 2020; <span class="has-text-black-bis has-text-weight-semibold">v1</span> submitted 18 August, 2020; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> August 2020. </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">Journal ref:</span> Phys. Rev. D 103, 011101 (2021) </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2007.02462">arXiv:2007.02462</a> <span>&nbsp;[<a href="https://arxiv.org/pdf/2007.02462">pdf</a>, <a href="https://arxiv.org/format/2007.02462">other</a>]&nbsp;</span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="Image and Video Processing">eess.IV</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Signal Processing">eess.SP</span> </div> <div class="is-inline-block" style="margin-left: 0.5rem"> <div class="tags has-addons"> <span class="tag is-dark is-size-7">doi</span> <span class="tag is-light is-size-7"><a class="" href="https://doi.org/10.1109/TCI.2021.3049648">10.1109/TCI.2021.3049648 <i class="fa fa-external-link" aria-hidden="true"></i></a></span> </div> </div> </div> <p class="title is-5 mathjax"> Compressible Latent-Space Invertible Networks for Generative Model-Constrained Image Reconstruction </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/?searchtype=author&amp;query=Kelkar%2C+V+A">Varun A. Kelkar</a>, <a href="/search/?searchtype=author&amp;query=Bhadra%2C+S">Sayantan Bhadra</a>, <a href="/search/?searchtype=author&amp;query=Anastasio%2C+M+A">Mark A. Anastasio</a> </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="2007.02462v2-abstract-short" style="display: inline;"> There remains an important need for the development of image reconstruction methods that can produce diagnostically useful images from undersampled measurements. In magnetic resonance imaging (MRI), for example, such methods can facilitate reductions in data-acquisition times. Deep learning-based methods hold potential for learning object priors or constraints that can serve to mitigate the effect&hellip; <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2007.02462v2-abstract-full').style.display = 'inline'; document.getElementById('2007.02462v2-abstract-short').style.display = 'none';">&#9661; More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2007.02462v2-abstract-full" style="display: none;"> There remains an important need for the development of image reconstruction methods that can produce diagnostically useful images from undersampled measurements. In magnetic resonance imaging (MRI), for example, such methods can facilitate reductions in data-acquisition times. Deep learning-based methods hold potential for learning object priors or constraints that can serve to mitigate the effects of data-incompleteness on image reconstruction. One line of emerging research involves formulating an optimization-based reconstruction method in the latent space of a generative deep neural network. However, when generative adversarial networks (GANs) are employed, such methods can result in image reconstruction errors if the sought-after solution does not reside within the range of the GAN. To circumvent this problem, in this work, a framework for reconstructing images from incomplete measurements is proposed that is formulated in the latent space of invertible neural network-based generative models. A novel regularization strategy is introduced that takes advantage of the multiscale architecture of certain invertible neural networks, which can result in improved reconstruction performance over classical methods in terms of traditional metrics. The proposed method is investigated for reconstructing images from undersampled MRI data. The method is shown to achieve comparable performance to a state-of-the-art generative model-based reconstruction method while benefiting from a deterministic reconstruction procedure and easier control over regularization parameters. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2007.02462v2-abstract-full').style.display = 'none'; document.getElementById('2007.02462v2-abstract-short').style.display = 'inline';">&#9651; Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 30 December, 2020; <span class="has-text-black-bis has-text-weight-semibold">v1</span> submitted 5 July, 2020; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> July 2020. </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">Comments:</span> <span class="has-text-grey-dark mathjax">15 pages (main) + supplementary file</span> </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2006.00033">arXiv:2006.00033</a> <span>&nbsp;[<a href="https://arxiv.org/pdf/2006.00033">pdf</a>, <a href="https://arxiv.org/format/2006.00033">other</a>]&nbsp;</span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="Image and Video Processing">eess.IV</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Computer Vision and Pattern Recognition">cs.CV</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Machine Learning">cs.LG</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Machine Learning">stat.ML</span> </div> </div> <p class="title is-5 mathjax"> Learning stochastic object models from medical imaging measurements using Progressively-Growing AmbientGANs </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/?searchtype=author&amp;query=Zhou%2C+W">Weimin Zhou</a>, <a href="/search/?searchtype=author&amp;query=Bhadra%2C+S">Sayantan Bhadra</a>, <a href="/search/?searchtype=author&amp;query=Brooks%2C+F+J">Frank J. Brooks</a>, <a href="/search/?searchtype=author&amp;query=Li%2C+H">Hua Li</a>, <a href="/search/?searchtype=author&amp;query=Anastasio%2C+M+A">Mark A. Anastasio</a> </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="2006.00033v1-abstract-short" style="display: inline;"> It has been advocated that medical imaging systems and reconstruction algorithms should be assessed and optimized by use of objective measures of image quality that quantify the performance of an observer at specific diagnostic tasks. One important source of variability that can significantly limit observer performance is variation in the objects to-be-imaged. This source of variability can be des&hellip; <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2006.00033v1-abstract-full').style.display = 'inline'; document.getElementById('2006.00033v1-abstract-short').style.display = 'none';">&#9661; More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2006.00033v1-abstract-full" style="display: none;"> It has been advocated that medical imaging systems and reconstruction algorithms should be assessed and optimized by use of objective measures of image quality that quantify the performance of an observer at specific diagnostic tasks. One important source of variability that can significantly limit observer performance is variation in the objects to-be-imaged. This source of variability can be described by stochastic object models (SOMs). A SOM is a generative model that can be employed to establish an ensemble of to-be-imaged objects with prescribed statistical properties. In order to accurately model variations in anatomical structures and object textures, it is desirable to establish SOMs from experimental imaging measurements acquired by use of a well-characterized imaging system. Deep generative neural networks, such as generative adversarial networks (GANs) hold great potential for this task. However, conventional GANs are typically trained by use of reconstructed images that are influenced by the effects of measurement noise and the reconstruction process. To circumvent this, an AmbientGAN has been proposed that augments a GAN with a measurement operator. However, the original AmbientGAN could not immediately benefit from modern training procedures, such as progressive growing, which limited its ability to be applied to realistically sized medical image data. To circumvent this, in this work, a new Progressive Growing AmbientGAN (ProAmGAN) strategy is developed for establishing SOMs from medical imaging measurements. Stylized numerical studies corresponding to common medical imaging modalities are conducted to demonstrate and validate the proposed method for establishing SOMs. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2006.00033v1-abstract-full').style.display = 'none'; document.getElementById('2006.00033v1-abstract-short').style.display = 'inline';">&#9651; Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 29 May, 2020; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> June 2020. </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">Comments:</span> <span class="has-text-grey-dark mathjax">Submitted to IEEE Transactions on Medical Imaging</span> </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2004.13989">arXiv:2004.13989</a> <span>&nbsp;[<a href="https://arxiv.org/pdf/2004.13989">pdf</a>, <a href="https://arxiv.org/format/2004.13989">other</a>]&nbsp;</span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="High Energy Physics - Experiment">hep-ex</span> </div> <div class="is-inline-block" style="margin-left: 0.5rem"> <div class="tags has-addons"> <span class="tag is-dark is-size-7">doi</span> <span class="tag is-light is-size-7"><a class="" href="https://doi.org/10.1093/ptep/ptab014">10.1093/ptep/ptab014 <i class="fa fa-external-link" aria-hidden="true"></i></a></span> </div> </div> </div> <p class="title is-5 mathjax"> Measurements of $\bar谓_渭$ and $\bar谓_渭 + 谓_渭$ charged-current cross-sections without detected pions nor protons on water and hydrocarbon at mean antineutrino energy of 0.86 GeV </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/?searchtype=author&amp;query=Abe%2C+K">K. Abe</a>, <a href="/search/?searchtype=author&amp;query=Akhlaq%2C+N">N. Akhlaq</a>, <a href="/search/?searchtype=author&amp;query=Akutsu%2C+R">R. Akutsu</a>, <a href="/search/?searchtype=author&amp;query=Ali%2C+A">A. Ali</a>, <a href="/search/?searchtype=author&amp;query=Alt%2C+C">C. Alt</a>, <a href="/search/?searchtype=author&amp;query=Andreopoulos%2C+C">C. Andreopoulos</a>, <a href="/search/?searchtype=author&amp;query=Anthony%2C+L">L. Anthony</a>, <a href="/search/?searchtype=author&amp;query=Antonova%2C+M">M. Antonova</a>, <a href="/search/?searchtype=author&amp;query=Aoki%2C+S">S. Aoki</a>, <a href="/search/?searchtype=author&amp;query=Ariga%2C+A">A. Ariga</a>, <a href="/search/?searchtype=author&amp;query=Arihara%2C+T">T. Arihara</a>, <a href="/search/?searchtype=author&amp;query=Asada%2C+Y">Y. Asada</a>, <a href="/search/?searchtype=author&amp;query=Ashida%2C+Y">Y. Ashida</a>, <a href="/search/?searchtype=author&amp;query=Atkin%2C+E+T">E. T. Atkin</a>, <a href="/search/?searchtype=author&amp;query=Awataguchi%2C+Y">Y. Awataguchi</a>, <a href="/search/?searchtype=author&amp;query=Ban%2C+S">S. Ban</a>, <a href="/search/?searchtype=author&amp;query=Barbi%2C+M">M. Barbi</a>, <a href="/search/?searchtype=author&amp;query=Barker%2C+G+J">G. J. Barker</a>, <a href="/search/?searchtype=author&amp;query=Barr%2C+G">G. Barr</a>, <a href="/search/?searchtype=author&amp;query=Barrow%2C+D">D. Barrow</a>, <a href="/search/?searchtype=author&amp;query=Barry%2C+C">C. Barry</a>, <a href="/search/?searchtype=author&amp;query=Batkiewicz-Kwasniak%2C+M">M. Batkiewicz-Kwasniak</a>, <a href="/search/?searchtype=author&amp;query=Beloshapkin%2C+A">A. Beloshapkin</a>, <a href="/search/?searchtype=author&amp;query=Bench%2C+F">F. Bench</a>, <a href="/search/?searchtype=author&amp;query=Berardi%2C+V">V. Berardi</a> , et al. (344 additional authors not shown) </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="2004.13989v1-abstract-short" style="display: inline;"> We report measurements of the flux-integrated $\bar谓_渭$ and $\bar谓_渭+谓_渭$ charged-current cross-sections on water and hydrocarbon targets using the T2K anti-neutrino beam, with a mean neutrino energy of 0.86 GeV. The signal is defined as the (anti-)neutrino charged-current interaction with one induced $渭^\pm$ and no detected charged pion nor proton. These measurements are performed using a new WAG&hellip; <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2004.13989v1-abstract-full').style.display = 'inline'; document.getElementById('2004.13989v1-abstract-short').style.display = 'none';">&#9661; More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2004.13989v1-abstract-full" style="display: none;"> We report measurements of the flux-integrated $\bar谓_渭$ and $\bar谓_渭+谓_渭$ charged-current cross-sections on water and hydrocarbon targets using the T2K anti-neutrino beam, with a mean neutrino energy of 0.86 GeV. The signal is defined as the (anti-)neutrino charged-current interaction with one induced $渭^\pm$ and no detected charged pion nor proton. These measurements are performed using a new WAGASCI module recently added to the T2K setup in combination with the INGRID Proton module. The phase space of muons is restricted to the high-detection efficiency region, $p_渭&gt;400~{\rm MeV}/c$ and $胃_渭&lt;30^{\circ}$, in the laboratory frame. Absence of pions and protons in the detectable phase space of &#34;$p_蟺&gt;200~{\rm MeV}/c$ and $胃_蟺&lt;70^{\circ}$&#34;, and &#34;$p_{\rm p}&gt;600~{\rm MeV}/c$ and $胃_{\rm p}&lt;70^{\circ}$&#34; is required. In this paper, both of the $\bar谓_渭$ cross-sections and $\bar谓_渭+谓_渭$ cross-sections on water and hydrocarbon targets, and their ratios are provided by using D&#39;Agostini unfolding method. The results of the integrated $\bar谓_渭$ cross-section measurements over this phase space are $蟽_{\rm H_{2}O}\,=\,(1.082\pm0.068(\rm stat.)^{+0.145}_{-0.128}(\rm syst.)) \times 10^{-39}~{\rm cm^{2}/nucleon}$, $蟽_{\rm CH}\,=\,(1.096\pm0.054(\rm stat.)^{+0.132}_{-0.117}(\rm syst.)) \times 10^{-39}~{\rm cm^{2}/nucleon}$, and $蟽_{\rm H_{2}O}/蟽_{\rm CH} = 0.987\pm0.078(\rm stat.)^{+0.093}_{-0.090}(\rm syst.)$. The $\bar谓_渭+谓_渭$ cross-section is $蟽_{\rm H_{2}O} = (1.155\pm0.064(\rm stat.)^{+0.148}_{-0.129}(\rm syst.)) \times 10^{-39}~{\rm cm^{2}/nucleon}$, $蟽_{\rm CH}\,=\,(1.159\pm0.049(\rm stat.)^{+0.129}_{-0.115}(\rm syst.)) \times 10^{-39}~{\rm cm^{2}/nucleon}$, and $蟽_{\rm H_{2}O}/蟽_{\rm CH}\,=\,0.996\pm0.069(\rm stat.)^{+0.083}_{-0.078}(\rm syst.)$. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2004.13989v1-abstract-full').style.display = 'none'; document.getElementById('2004.13989v1-abstract-short').style.display = 'inline';">&#9651; Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 29 April, 2020; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> April 2020. </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">Journal ref:</span> Prog Theor Exp Phys (2021) </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2004.13641">arXiv:2004.13641</a> <span>&nbsp;[<a href="https://arxiv.org/pdf/2004.13641">pdf</a>, <a href="https://arxiv.org/format/2004.13641">other</a>]&nbsp;</span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="Medical Physics">physics.med-ph</span> </div> </div> <p class="title is-5 mathjax"> Recharging and rejuvenation of decontaminated N95 masks </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/?searchtype=author&amp;query=Hossain%2C+E">Emroj Hossain</a>, <a href="/search/?searchtype=author&amp;query=Bhadra%2C+S">Satyanu Bhadra</a>, <a href="/search/?searchtype=author&amp;query=Jain%2C+H">Harsh Jain</a>, <a href="/search/?searchtype=author&amp;query=Das%2C+S">Soumen Das</a>, <a href="/search/?searchtype=author&amp;query=Bhattacharya%2C+A">Arnab Bhattacharya</a>, <a href="/search/?searchtype=author&amp;query=Ghosh%2C+S">Shankar Ghosh</a>, <a href="/search/?searchtype=author&amp;query=Levine%2C+D">Dov Levine</a> </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="2004.13641v2-abstract-short" style="display: inline;"> N95 respirators comprise a critical part of the personal protective equipment used by frontline health-care workers, and are typically meant for one-time usage. However, the recent COVID-19 pandemic has resulted in a serious shortage of these masks leading to a worldwide effort to develop decontamination and re-use procedures. A major factor contributing to the filtration efficiency of N95 masks i&hellip; <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2004.13641v2-abstract-full').style.display = 'inline'; document.getElementById('2004.13641v2-abstract-short').style.display = 'none';">&#9661; More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2004.13641v2-abstract-full" style="display: none;"> N95 respirators comprise a critical part of the personal protective equipment used by frontline health-care workers, and are typically meant for one-time usage. However, the recent COVID-19 pandemic has resulted in a serious shortage of these masks leading to a worldwide effort to develop decontamination and re-use procedures. A major factor contributing to the filtration efficiency of N95 masks is the presence of an intermediate layer of charged polypropylene electret fibers that trap particles through electrostatic or electrophoretic effects. This charge can degrade when the mask is used. Moreover, simple decontamination procedures (e.g. use of alcohol) can degrade any remaining charge from the polypropylene, thus severely impacting the filtration efficiency post decontamination. In this report, we summarize our results on the development of a simple laboratory setup allowing measurement of charge and filtration efficiency in N95 masks. In particular, we propose and show that it is possible to recharge the masks post-decontamination and recover filtration efficiency. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2004.13641v2-abstract-full').style.display = 'none'; document.getElementById('2004.13641v2-abstract-short').style.display = 'inline';">&#9651; Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 27 August, 2020; <span class="has-text-black-bis has-text-weight-semibold">v1</span> submitted 28 April, 2020; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> April 2020. </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">Comments:</span> <span class="has-text-grey-dark mathjax">20 pages 8 figures</span> </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2004.06568">arXiv:2004.06568</a> <span>&nbsp;[<a href="https://arxiv.org/pdf/2004.06568">pdf</a>, <a href="https://arxiv.org/format/2004.06568">other</a>]&nbsp;</span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="Methodology">stat.ME</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Computer Vision and Pattern Recognition">cs.CV</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Machine Learning">cs.LG</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Computation">stat.CO</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Machine Learning">stat.ML</span> </div> </div> <p class="title is-5 mathjax"> Robust Generalised Quadratic Discriminant Analysis </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/?searchtype=author&amp;query=Ghosh%2C+A">Abhik Ghosh</a>, <a href="/search/?searchtype=author&amp;query=SahaRay%2C+R">Rita SahaRay</a>, <a href="/search/?searchtype=author&amp;query=Chakrabarty%2C+S">Sayan Chakrabarty</a>, <a href="/search/?searchtype=author&amp;query=Bhadra%2C+S">Sayan Bhadra</a> </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="2004.06568v1-abstract-short" style="display: inline;"> Quadratic discriminant analysis (QDA) is a widely used statistical tool to classify observations from different multivariate Normal populations. The generalized quadratic discriminant analysis (GQDA) classification rule/classifier, which generalizes the QDA and the minimum Mahalanobis distance (MMD) classifiers to discriminate between populations with underlying elliptically symmetric distribution&hellip; <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2004.06568v1-abstract-full').style.display = 'inline'; document.getElementById('2004.06568v1-abstract-short').style.display = 'none';">&#9661; More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2004.06568v1-abstract-full" style="display: none;"> Quadratic discriminant analysis (QDA) is a widely used statistical tool to classify observations from different multivariate Normal populations. The generalized quadratic discriminant analysis (GQDA) classification rule/classifier, which generalizes the QDA and the minimum Mahalanobis distance (MMD) classifiers to discriminate between populations with underlying elliptically symmetric distributions competes quite favorably with the QDA classifier when it is optimal and performs much better when QDA fails under non-Normal underlying distributions, e.g. Cauchy distribution. However, the classification rule in GQDA is based on the sample mean vector and the sample dispersion matrix of a training sample, which are extremely non-robust under data contamination. In real world, since it is quite common to face data highly vulnerable to outliers, the lack of robustness of the classical estimators of the mean vector and the dispersion matrix reduces the efficiency of the GQDA classifier significantly, increasing the misclassification errors. The present paper investigates the performance of the GQDA classifier when the classical estimators of the mean vector and the dispersion matrix used therein are replaced by various robust counterparts. Applications to various real data sets as well as simulation studies reveal far better performance of the proposed robust versions of the GQDA classifier. A Comparative study has been made to advocate the appropriate choice of the robust estimators to be used in a specific situation of the degree of contamination of the data sets. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2004.06568v1-abstract-full').style.display = 'none'; document.getElementById('2004.06568v1-abstract-short').style.display = 'inline';">&#9651; Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 11 April, 2020; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> April 2020. </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">Comments:</span> <span class="has-text-grey-dark mathjax">Pre-print. Under Review</span> </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2004.05434">arXiv:2004.05434</a> <span>&nbsp;[<a href="https://arxiv.org/pdf/2004.05434">pdf</a>, <a href="https://arxiv.org/format/2004.05434">other</a>]&nbsp;</span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="High Energy Physics - Experiment">hep-ex</span> </div> <div class="is-inline-block" style="margin-left: 0.5rem"> <div class="tags has-addons"> <span class="tag is-dark is-size-7">doi</span> <span class="tag is-light is-size-7"><a class="" href="https://doi.org/10.1103/PhysRevD.101.112004">10.1103/PhysRevD.101.112004 <i class="fa fa-external-link" aria-hidden="true"></i></a></span> </div> </div> </div> <p class="title is-5 mathjax"> Simultaneous measurement of the muon neutrino charged-current cross section on oxygen and carbon without pions in the final state at T2K </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/?searchtype=author&amp;query=Abe%2C+K">K. Abe</a>, <a href="/search/?searchtype=author&amp;query=Akhlaq%2C+N">N. Akhlaq</a>, <a href="/search/?searchtype=author&amp;query=Akutsu%2C+R">R. Akutsu</a>, <a href="/search/?searchtype=author&amp;query=Ali%2C+A">A. Ali</a>, <a href="/search/?searchtype=author&amp;query=Alt%2C+C">C. Alt</a>, <a href="/search/?searchtype=author&amp;query=Andreopoulos%2C+C">C. Andreopoulos</a>, <a href="/search/?searchtype=author&amp;query=Anthony%2C+L">L. Anthony</a>, <a href="/search/?searchtype=author&amp;query=Antonova%2C+M">M. Antonova</a>, <a href="/search/?searchtype=author&amp;query=Aoki%2C+S">S. Aoki</a>, <a href="/search/?searchtype=author&amp;query=Ariga%2C+A">A. Ariga</a>, <a href="/search/?searchtype=author&amp;query=Arihara%2C+T">T. Arihara</a>, <a href="/search/?searchtype=author&amp;query=Asada%2C+Y">Y. Asada</a>, <a href="/search/?searchtype=author&amp;query=Ashida%2C+Y">Y. Ashida</a>, <a href="/search/?searchtype=author&amp;query=Atkin%2C+E+T">E. T. Atkin</a>, <a href="/search/?searchtype=author&amp;query=Awataguchi%2C+Y">Y. Awataguchi</a>, <a href="/search/?searchtype=author&amp;query=Ban%2C+S">S. Ban</a>, <a href="/search/?searchtype=author&amp;query=Barbi%2C+M">M. Barbi</a>, <a href="/search/?searchtype=author&amp;query=Barker%2C+G+J">G. J. Barker</a>, <a href="/search/?searchtype=author&amp;query=Barr%2C+G">G. Barr</a>, <a href="/search/?searchtype=author&amp;query=Barrow%2C+D">D. Barrow</a>, <a href="/search/?searchtype=author&amp;query=Batkiewicz-Kwasniak%2C+M">M. Batkiewicz-Kwasniak</a>, <a href="/search/?searchtype=author&amp;query=Beloshapkin%2C+A">A. Beloshapkin</a>, <a href="/search/?searchtype=author&amp;query=Bench%2C+F">F. Bench</a>, <a href="/search/?searchtype=author&amp;query=Berardi%2C+V">V. Berardi</a>, <a href="/search/?searchtype=author&amp;query=Berns%2C+L">L. Berns</a> , et al. (308 additional authors not shown) </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="2004.05434v2-abstract-short" style="display: inline;"> This paper reports the first simultaneous measurement of the double differential muon neutrino charged-current cross section on oxygen and carbon without pions in the final state as a function of the outgoing muon kinematics, made at the ND280 off-axis near detector of the T2K experiment. The ratio of the oxygen and carbon cross sections is also provided to help validate various models&#39; ability to&hellip; <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2004.05434v2-abstract-full').style.display = 'inline'; document.getElementById('2004.05434v2-abstract-short').style.display = 'none';">&#9661; More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2004.05434v2-abstract-full" style="display: none;"> This paper reports the first simultaneous measurement of the double differential muon neutrino charged-current cross section on oxygen and carbon without pions in the final state as a function of the outgoing muon kinematics, made at the ND280 off-axis near detector of the T2K experiment. The ratio of the oxygen and carbon cross sections is also provided to help validate various models&#39; ability to extrapolate between carbon and oxygen nuclear targets, as is required in T2K oscillation analyses. The data are taken using a neutrino beam with an energy spectrum peaked at 0.6 GeV. The extracted measurement is compared with the prediction from different Monte Carlo neutrino-nucleus interaction event generators, showing particular model separation for very forward-going muons. Overall, of the models tested, the result is best described using Local Fermi Gas descriptions of the nuclear ground state with RPA suppression. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2004.05434v2-abstract-full').style.display = 'none'; document.getElementById('2004.05434v2-abstract-short').style.display = 'inline';">&#9651; Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 19 June, 2020; <span class="has-text-black-bis has-text-weight-semibold">v1</span> submitted 11 April, 2020; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> April 2020. </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">Journal ref:</span> Phys. Rev. D 101, 112004 (2020) </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2002.11986">arXiv:2002.11986</a> <span>&nbsp;[<a href="https://arxiv.org/pdf/2002.11986">pdf</a>, <a href="https://arxiv.org/format/2002.11986">other</a>]&nbsp;</span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="High Energy Physics - Experiment">hep-ex</span> </div> <div class="is-inline-block" style="margin-left: 0.5rem"> <div class="tags has-addons"> <span class="tag is-dark is-size-7">doi</span> <span class="tag is-light is-size-7"><a class="" href="https://doi.org/10.1007/JHEP10(2020)114">10.1007/JHEP10(2020)114 <i class="fa fa-external-link" aria-hidden="true"></i></a></span> </div> </div> </div> <p class="title is-5 mathjax"> Measurement of the charged-current electron (anti-)neutrino inclusive cross-sections at the T2K off-axis near detector ND280 </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/?searchtype=author&amp;query=Abe%2C+K">K. Abe</a>, <a href="/search/?searchtype=author&amp;query=Akhlaq%2C+N">N. Akhlaq</a>, <a href="/search/?searchtype=author&amp;query=Akutsu%2C+R">R. Akutsu</a>, <a href="/search/?searchtype=author&amp;query=Ali%2C+A">A. Ali</a>, <a href="/search/?searchtype=author&amp;query=Alt%2C+C">C. Alt</a>, <a href="/search/?searchtype=author&amp;query=Andreopoulos%2C+C">C. Andreopoulos</a>, <a href="/search/?searchtype=author&amp;query=Anthony%2C+L">L. Anthony</a>, <a href="/search/?searchtype=author&amp;query=Antonova%2C+M">M. Antonova</a>, <a href="/search/?searchtype=author&amp;query=Aoki%2C+S">S. Aoki</a>, <a href="/search/?searchtype=author&amp;query=Ariga%2C+A">A. Ariga</a>, <a href="/search/?searchtype=author&amp;query=Arihara%2C+T">T. Arihara</a>, <a href="/search/?searchtype=author&amp;query=Asada%2C+Y">Y. Asada</a>, <a href="/search/?searchtype=author&amp;query=Ashida%2C+Y">Y. Ashida</a>, <a href="/search/?searchtype=author&amp;query=Atkin%2C+E+T">E. T. Atkin</a>, <a href="/search/?searchtype=author&amp;query=Awataguchi%2C+Y">Y. Awataguchi</a>, <a href="/search/?searchtype=author&amp;query=Ban%2C+S">S. Ban</a>, <a href="/search/?searchtype=author&amp;query=Barbi%2C+M">M. Barbi</a>, <a href="/search/?searchtype=author&amp;query=Barker%2C+G+J">G. J. Barker</a>, <a href="/search/?searchtype=author&amp;query=Barr%2C+G">G. Barr</a>, <a href="/search/?searchtype=author&amp;query=Barrow%2C+D">D. Barrow</a>, <a href="/search/?searchtype=author&amp;query=Barry%2C+C">C. Barry</a>, <a href="/search/?searchtype=author&amp;query=Batkiewicz-Kwasniak%2C+M">M. Batkiewicz-Kwasniak</a>, <a href="/search/?searchtype=author&amp;query=Beloshapkin%2C+A">A. Beloshapkin</a>, <a href="/search/?searchtype=author&amp;query=Bench%2C+F">F. Bench</a>, <a href="/search/?searchtype=author&amp;query=Berardi%2C+V">V. Berardi</a> , et al. (344 additional authors not shown) </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="2002.11986v2-abstract-short" style="display: inline;"> The electron (anti-)neutrino component of the T2K neutrino beam constitutes the largest background in the measurement of electron (anti-)neutrino appearance at the far detector. The electron neutrino scattering is measured directly with the T2K off-axis near detector, ND280. The selection of the electron (anti-)neutrino events in the plastic scintillator target from both neutrino and anti-neutrino&hellip; <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2002.11986v2-abstract-full').style.display = 'inline'; document.getElementById('2002.11986v2-abstract-short').style.display = 'none';">&#9661; More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2002.11986v2-abstract-full" style="display: none;"> The electron (anti-)neutrino component of the T2K neutrino beam constitutes the largest background in the measurement of electron (anti-)neutrino appearance at the far detector. The electron neutrino scattering is measured directly with the T2K off-axis near detector, ND280. The selection of the electron (anti-)neutrino events in the plastic scintillator target from both neutrino and anti-neutrino mode beams is discussed in this paper. The flux integrated single differential charged-current inclusive electron (anti-)neutrino cross-sections, $d蟽/dp$ and $d蟽/d\cos(胃)$, and the total cross-sections in a limited phase-space in momentum and scattering angle ($p &gt; 300$ MeV/c and $胃\leq 45^{\circ}$) are measured using a binned maximum likelihood fit and compared to the neutrino Monte Carlo generator predictions, resulting in good agreement. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2002.11986v2-abstract-full').style.display = 'none'; document.getElementById('2002.11986v2-abstract-short').style.display = 'inline';">&#9651; Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 27 October, 2020; <span class="has-text-black-bis has-text-weight-semibold">v1</span> submitted 27 February, 2020; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> February 2020. </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">Journal ref:</span> J. High Energ. Phys. 2020, 114 (2020) </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2002.09323">arXiv:2002.09323</a> <span>&nbsp;[<a href="https://arxiv.org/pdf/2002.09323">pdf</a>, <a href="https://arxiv.org/format/2002.09323">other</a>]&nbsp;</span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="High Energy Physics - Experiment">hep-ex</span> </div> <div class="is-inline-block" style="margin-left: 0.5rem"> <div class="tags has-addons"> <span class="tag is-dark is-size-7">doi</span> <span class="tag is-light is-size-7"><a class="" href="https://doi.org/10.1103/PhysRevD.101.112001">10.1103/PhysRevD.101.112001 <i class="fa fa-external-link" aria-hidden="true"></i></a></span> </div> </div> </div> <p class="title is-5 mathjax"> First combined measurement of the muon neutrino and antineutrino charged-current cross section without pions in the final state at T2K </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/?searchtype=author&amp;query=Abe%2C+K">K. Abe</a>, <a href="/search/?searchtype=author&amp;query=Akutsu%2C+R">R. Akutsu</a>, <a href="/search/?searchtype=author&amp;query=Ali%2C+A">A. Ali</a>, <a href="/search/?searchtype=author&amp;query=Alt%2C+C">C. Alt</a>, <a href="/search/?searchtype=author&amp;query=Andreopoulos%2C+C">C. Andreopoulos</a>, <a href="/search/?searchtype=author&amp;query=Anthony%2C+L">L. Anthony</a>, <a href="/search/?searchtype=author&amp;query=Antonova%2C+M">M. Antonova</a>, <a href="/search/?searchtype=author&amp;query=Aoki%2C+S">S. Aoki</a>, <a href="/search/?searchtype=author&amp;query=Ariga%2C+A">A. Ariga</a>, <a href="/search/?searchtype=author&amp;query=Arihara%2C+T">T. Arihara</a>, <a href="/search/?searchtype=author&amp;query=Asada%2C+Y">Y. Asada</a>, <a href="/search/?searchtype=author&amp;query=Ashida%2C+Y">Y. Ashida</a>, <a href="/search/?searchtype=author&amp;query=Atkin%2C+E+T">E. T. Atkin</a>, <a href="/search/?searchtype=author&amp;query=Awataguchi%2C+Y">Y. Awataguchi</a>, <a href="/search/?searchtype=author&amp;query=Ban%2C+S">S. Ban</a>, <a href="/search/?searchtype=author&amp;query=Barbi%2C+M">M. Barbi</a>, <a href="/search/?searchtype=author&amp;query=Barker%2C+G+J">G. J. Barker</a>, <a href="/search/?searchtype=author&amp;query=Barr%2C+G">G. Barr</a>, <a href="/search/?searchtype=author&amp;query=Barrow%2C+D">D. Barrow</a>, <a href="/search/?searchtype=author&amp;query=Barry%2C+C">C. Barry</a>, <a href="/search/?searchtype=author&amp;query=Batkiewicz-Kwasniak%2C+M">M. Batkiewicz-Kwasniak</a>, <a href="/search/?searchtype=author&amp;query=Beloshapkin%2C+A">A. Beloshapkin</a>, <a href="/search/?searchtype=author&amp;query=Bench%2C+F">F. Bench</a>, <a href="/search/?searchtype=author&amp;query=Berardi%2C+V">V. Berardi</a>, <a href="/search/?searchtype=author&amp;query=Berns%2C+L">L. Berns</a> , et al. (327 additional authors not shown) </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="2002.09323v3-abstract-short" style="display: inline;"> This paper presents the first combined measurement of the double-differential muon neutrino and antineutrino charged-current cross sections with no pions in the final state on hydrocarbon at the off-axis near detector of the T2K experiment. The data analyzed in this work comprise 5.8$\times$10$^{20}$ and 6.3$\times$10$^{20}$ protons on target in neutrino and antineutrino mode respectively, at a be&hellip; <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2002.09323v3-abstract-full').style.display = 'inline'; document.getElementById('2002.09323v3-abstract-short').style.display = 'none';">&#9661; More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2002.09323v3-abstract-full" style="display: none;"> This paper presents the first combined measurement of the double-differential muon neutrino and antineutrino charged-current cross sections with no pions in the final state on hydrocarbon at the off-axis near detector of the T2K experiment. The data analyzed in this work comprise 5.8$\times$10$^{20}$ and 6.3$\times$10$^{20}$ protons on target in neutrino and antineutrino mode respectively, at a beam energy peak of 0.6 GeV. Using the two measured cross sections, the sum, difference and asymmetry were calculated with the aim of better understanding the nuclear effects involved in such interactions. The extracted measurements have been compared with the prediction from different Monte Carlo generators and theoretical models showing that the difference between the two cross sections have interesting sensitivity to nuclear effects. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2002.09323v3-abstract-full').style.display = 'none'; document.getElementById('2002.09323v3-abstract-short').style.display = 'inline';">&#9651; Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 7 May, 2020; <span class="has-text-black-bis has-text-weight-semibold">v1</span> submitted 21 February, 2020; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> February 2020. </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">Journal ref:</span> Phys. Rev. D 101, 112001 (2020) </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2001.10830">arXiv:2001.10830</a> <span>&nbsp;[<a href="https://arxiv.org/pdf/2001.10830">pdf</a>, <a href="https://arxiv.org/format/2001.10830">other</a>]&nbsp;</span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="Image and Video Processing">eess.IV</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Machine Learning">cs.LG</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Machine Learning">stat.ML</span> </div> </div> <p class="title is-5 mathjax"> Medical image reconstruction with image-adaptive priors learned by use of generative adversarial networks </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/?searchtype=author&amp;query=Bhadra%2C+S">Sayantan Bhadra</a>, <a href="/search/?searchtype=author&amp;query=Zhou%2C+W">Weimin Zhou</a>, <a href="/search/?searchtype=author&amp;query=Anastasio%2C+M+A">Mark A. Anastasio</a> </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="2001.10830v1-abstract-short" style="display: inline;"> Medical image reconstruction is typically an ill-posed inverse problem. In order to address such ill-posed problems, the prior distribution of the sought after object property is usually incorporated by means of some sparsity-promoting regularization. Recently, prior distributions for images estimated using generative adversarial networks (GANs) have shown great promise in regularizing some of the&hellip; <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2001.10830v1-abstract-full').style.display = 'inline'; document.getElementById('2001.10830v1-abstract-short').style.display = 'none';">&#9661; More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2001.10830v1-abstract-full" style="display: none;"> Medical image reconstruction is typically an ill-posed inverse problem. In order to address such ill-posed problems, the prior distribution of the sought after object property is usually incorporated by means of some sparsity-promoting regularization. Recently, prior distributions for images estimated using generative adversarial networks (GANs) have shown great promise in regularizing some of these image reconstruction problems. In this work, we apply an image-adaptive GAN-based reconstruction method (IAGAN) to reconstruct high fidelity images from incomplete medical imaging data. It is observed that the IAGAN method can potentially recover fine structures in the object that are relevant for medical diagnosis but may be oversmoothed in reconstructions with traditional sparsity-promoting regularization. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2001.10830v1-abstract-full').style.display = 'none'; document.getElementById('2001.10830v1-abstract-short').style.display = 'inline';">&#9651; Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 27 January, 2020; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> January 2020. </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">Comments:</span> <span class="has-text-grey-dark mathjax">SPIE Medical Imaging 2020</span> </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2001.09523">arXiv:2001.09523</a> <span>&nbsp;[<a href="https://arxiv.org/pdf/2001.09523">pdf</a>, <a href="https://arxiv.org/format/2001.09523">other</a>]&nbsp;</span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="Image and Video Processing">eess.IV</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Machine Learning">cs.LG</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Machine Learning">stat.ML</span> </div> </div> <p class="title is-5 mathjax"> Progressively-Growing AmbientGANs For Learning Stochastic Object Models From Imaging Measurements </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/?searchtype=author&amp;query=Zhou%2C+W">Weimin Zhou</a>, <a href="/search/?searchtype=author&amp;query=Bhadra%2C+S">Sayantan Bhadra</a>, <a href="/search/?searchtype=author&amp;query=Brooks%2C+F+J">Frank J. Brooks</a>, <a href="/search/?searchtype=author&amp;query=Li%2C+H">Hua Li</a>, <a href="/search/?searchtype=author&amp;query=Anastasio%2C+M+A">Mark A. Anastasio</a> </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="2001.09523v1-abstract-short" style="display: inline;"> The objective optimization of medical imaging systems requires full characterization of all sources of randomness in the measured data, which includes the variability within the ensemble of objects to-be-imaged. This can be accomplished by establishing a stochastic object model (SOM) that describes the variability in the class of objects to-be-imaged. Generative adversarial networks (GANs) can be&hellip; <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2001.09523v1-abstract-full').style.display = 'inline'; document.getElementById('2001.09523v1-abstract-short').style.display = 'none';">&#9661; More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2001.09523v1-abstract-full" style="display: none;"> The objective optimization of medical imaging systems requires full characterization of all sources of randomness in the measured data, which includes the variability within the ensemble of objects to-be-imaged. This can be accomplished by establishing a stochastic object model (SOM) that describes the variability in the class of objects to-be-imaged. Generative adversarial networks (GANs) can be potentially useful to establish SOMs because they hold great promise to learn generative models that describe the variability within an ensemble of training data. However, because medical imaging systems record imaging measurements that are noisy and indirect representations of object properties, GANs cannot be directly applied to establish stochastic models of objects to-be-imaged. To address this issue, an augmented GAN architecture named AmbientGAN was developed to establish SOMs from noisy and indirect measurement data. However, because the adversarial training can be unstable, the applicability of the AmbientGAN can be potentially limited. In this work, we propose a novel training strategy---Progressive Growing of AmbientGANs (ProAGAN)---to stabilize the training of AmbientGANs for establishing SOMs from noisy and indirect imaging measurements. An idealized magnetic resonance (MR) imaging system and clinical MR brain images are considered. The proposed methodology is evaluated by comparing signal detection performance computed by use of ProAGAN-generated synthetic images and images that depict the true object properties. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2001.09523v1-abstract-full').style.display = 'none'; document.getElementById('2001.09523v1-abstract-short').style.display = 'inline';">&#9651; Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 26 January, 2020; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> January 2020. </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">Comments:</span> <span class="has-text-grey-dark mathjax">SPIE Medical Imaging 2020</span> </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2001.07607">arXiv:2001.07607</a> <span>&nbsp;[<a href="https://arxiv.org/pdf/2001.07607">pdf</a>, <a href="https://arxiv.org/format/2001.07607">other</a>]&nbsp;</span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="Machine Learning">cs.LG</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Machine Learning">stat.ML</span> </div> </div> <p class="title is-5 mathjax"> Understanding the Limitations of Network Online Learning </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/?searchtype=author&amp;query=LaRock%2C+T">Timothy LaRock</a>, <a href="/search/?searchtype=author&amp;query=Sakharov%2C+T">Timothy Sakharov</a>, <a href="/search/?searchtype=author&amp;query=Bhadra%2C+S">Sahely Bhadra</a>, <a href="/search/?searchtype=author&amp;query=Eliassi-Rad%2C+T">Tina Eliassi-Rad</a> </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="2001.07607v1-abstract-short" style="display: inline;"> Studies of networked phenomena, such as interactions in online social media, often rely on incomplete data, either because these phenomena are partially observed, or because the data is too large or expensive to acquire all at once. Analysis of incomplete data leads to skewed or misleading results. In this paper, we investigate limitations of learning to complete partially observed networks via no&hellip; <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2001.07607v1-abstract-full').style.display = 'inline'; document.getElementById('2001.07607v1-abstract-short').style.display = 'none';">&#9661; More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2001.07607v1-abstract-full" style="display: none;"> Studies of networked phenomena, such as interactions in online social media, often rely on incomplete data, either because these phenomena are partially observed, or because the data is too large or expensive to acquire all at once. Analysis of incomplete data leads to skewed or misleading results. In this paper, we investigate limitations of learning to complete partially observed networks via node querying. Concretely, we study the following problem: given (i) a partially observed network, (ii) the ability to query nodes for their connections (e.g., by accessing an API), and (iii) a budget on the number of such queries, sequentially learn which nodes to query in order to maximally increase observability. We call this querying process Network Online Learning and present a family of algorithms called NOL*. These algorithms learn to choose which partially observed node to query next based on a parameterized model that is trained online through a process of exploration and exploitation. Extensive experiments on both synthetic and real world networks show that (i) it is possible to sequentially learn to choose which nodes are best to query in a network and (ii) some macroscopic properties of networks, such as the degree distribution and modular structure, impact the potential for learning and the optimal amount of random exploration. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2001.07607v1-abstract-full').style.display = 'none'; document.getElementById('2001.07607v1-abstract-short').style.display = 'inline';">&#9651; Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 9 January, 2020; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> January 2020. </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/1912.08841">arXiv:1912.08841</a> <span>&nbsp;[<a href="https://arxiv.org/pdf/1912.08841">pdf</a>, <a href="https://arxiv.org/format/1912.08841">other</a>]&nbsp;</span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="High Energy Physics - Experiment">hep-ex</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Instrumentation and Detectors">physics.ins-det</span> </div> </div> <p class="title is-5 mathjax"> EMPHATIC: A proposed experiment to measure hadron scattering and productioncross sections for improved neutrino flux predictions </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/?searchtype=author&amp;query=Akaishi%2C+T">T. Akaishi</a>, <a href="/search/?searchtype=author&amp;query=Aliaga-Soplin%2C+L">L. Aliaga-Soplin</a>, <a href="/search/?searchtype=author&amp;query=Asano%2C+H">H. Asano</a>, <a href="/search/?searchtype=author&amp;query=Aurisano%2C+A">A. Aurisano</a>, <a href="/search/?searchtype=author&amp;query=Barbi%2C+M">M. Barbi</a>, <a href="/search/?searchtype=author&amp;query=Bellantoni%2C+L">L. Bellantoni</a>, <a href="/search/?searchtype=author&amp;query=Bhadra%2C+S">S. Bhadra</a>, <a href="/search/?searchtype=author&amp;query=Chang%2C+W">W-C. Chang</a>, <a href="/search/?searchtype=author&amp;query=Fields%2C+L">L. Fields</a>, <a href="/search/?searchtype=author&amp;query=Fiorentini%2C+A">A. Fiorentini</a>, <a href="/search/?searchtype=author&amp;query=Friend%2C+M">M. Friend</a>, <a href="/search/?searchtype=author&amp;query=Fukuda%2C+T">T. Fukuda</a>, <a href="/search/?searchtype=author&amp;query=Harris%2C+D">D. Harris</a>, <a href="/search/?searchtype=author&amp;query=Hartz%2C+M">M. Hartz</a>, <a href="/search/?searchtype=author&amp;query=Honda%2C+R">R. Honda</a>, <a href="/search/?searchtype=author&amp;query=Ishikawa%2C+T">T. Ishikawa</a>, <a href="/search/?searchtype=author&amp;query=Jamieson%2C+B">B. Jamieson</a>, <a href="/search/?searchtype=author&amp;query=Kearns%2C+E">E. Kearns</a>, <a href="/search/?searchtype=author&amp;query=Kolev%2C+N">N. Kolev</a>, <a href="/search/?searchtype=author&amp;query=Komatsu%2C+M">M. Komatsu</a>, <a href="/search/?searchtype=author&amp;query=Komatsu%2C+Y">Y. Komatsu</a>, <a href="/search/?searchtype=author&amp;query=Konaka%2C+A">A. Konaka</a>, <a href="/search/?searchtype=author&amp;query=Kordosky%2C+M">M. Kordosky</a>, <a href="/search/?searchtype=author&amp;query=Lang%2C+K">K. Lang</a>, <a href="/search/?searchtype=author&amp;query=Lebrun%2C+P">P. Lebrun</a> , et al. (25 additional authors not shown) </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="1912.08841v1-abstract-short" style="display: inline;"> Hadron scattering and production uncertainties are a limiting systematic on accelerator and at-mospheric neutrino flux predictions. New hadron measurements are necessary for neutrino fluxpredictions with well-understood and reduced uncertainties. We propose a new compact experimentto measure hadron scattering and production cross sections at beam energies that are inaccessibleto currently operatin&hellip; <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('1912.08841v1-abstract-full').style.display = 'inline'; document.getElementById('1912.08841v1-abstract-short').style.display = 'none';">&#9661; More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="1912.08841v1-abstract-full" style="display: none;"> Hadron scattering and production uncertainties are a limiting systematic on accelerator and at-mospheric neutrino flux predictions. New hadron measurements are necessary for neutrino fluxpredictions with well-understood and reduced uncertainties. We propose a new compact experimentto measure hadron scattering and production cross sections at beam energies that are inaccessibleto currently operating experiments. These measurements can reduce the current 10% neutrino fluxuncertainties by an approximate factor of two. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('1912.08841v1-abstract-full').style.display = 'none'; document.getElementById('1912.08841v1-abstract-short').style.display = 'inline';">&#9651; Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 18 December, 2019; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> December 2019. </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">Report number:</span> FERMILAB-PUB-19-625-ND </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/1911.07283">arXiv:1911.07283</a> <span>&nbsp;[<a href="https://arxiv.org/pdf/1911.07283">pdf</a>, <a href="https://arxiv.org/format/1911.07283">other</a>]&nbsp;</span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="High Energy Physics - Experiment">hep-ex</span> </div> <div class="is-inline-block" style="margin-left: 0.5rem"> <div class="tags has-addons"> <span class="tag is-dark is-size-7">doi</span> <span class="tag is-light is-size-7"><a class="" href="https://doi.org/10.1103/PhysRevLett.124.161802">10.1103/PhysRevLett.124.161802 <i class="fa fa-external-link" aria-hidden="true"></i></a></span> </div> </div> </div> <p class="title is-5 mathjax"> Search for Electron Antineutrino Appearance in a Long-baseline Muon Antineutrino Beam </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/?searchtype=author&amp;query=Abe%2C+K">K. Abe</a>, <a href="/search/?searchtype=author&amp;query=Akutsu%2C+R">R. Akutsu</a>, <a href="/search/?searchtype=author&amp;query=Ali%2C+A">A. Ali</a>, <a href="/search/?searchtype=author&amp;query=Alt%2C+C">C. Alt</a>, <a href="/search/?searchtype=author&amp;query=Andreopoulos%2C+C">C. Andreopoulos</a>, <a href="/search/?searchtype=author&amp;query=Anthony%2C+L">L. Anthony</a>, <a href="/search/?searchtype=author&amp;query=Antonova%2C+M">M. Antonova</a>, <a href="/search/?searchtype=author&amp;query=Aoki%2C+S">S. Aoki</a>, <a href="/search/?searchtype=author&amp;query=Ariga%2C+A">A. Ariga</a>, <a href="/search/?searchtype=author&amp;query=Asada%2C+Y">Y. Asada</a>, <a href="/search/?searchtype=author&amp;query=Ashida%2C+Y">Y. Ashida</a>, <a href="/search/?searchtype=author&amp;query=Atkin%2C+E+T">E. T. Atkin</a>, <a href="/search/?searchtype=author&amp;query=Awataguchi%2C+Y">Y. Awataguchi</a>, <a href="/search/?searchtype=author&amp;query=Ban%2C+S">S. Ban</a>, <a href="/search/?searchtype=author&amp;query=Barbi%2C+M">M. Barbi</a>, <a href="/search/?searchtype=author&amp;query=Barker%2C+G+J">G. J. Barker</a>, <a href="/search/?searchtype=author&amp;query=Barr%2C+G">G. Barr</a>, <a href="/search/?searchtype=author&amp;query=Barrow%2C+D">D. Barrow</a>, <a href="/search/?searchtype=author&amp;query=Barry%2C+C">C. Barry</a>, <a href="/search/?searchtype=author&amp;query=Batkiewicz-Kwasniak%2C+M">M. Batkiewicz-Kwasniak</a>, <a href="/search/?searchtype=author&amp;query=Beloshapkin%2C+A">A. Beloshapkin</a>, <a href="/search/?searchtype=author&amp;query=Bench%2C+F">F. Bench</a>, <a href="/search/?searchtype=author&amp;query=Berardi%2C+V">V. Berardi</a>, <a href="/search/?searchtype=author&amp;query=Berkman%2C+S">S. Berkman</a>, <a href="/search/?searchtype=author&amp;query=Berns%2C+L">L. Berns</a> , et al. (319 additional authors not shown) </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="1911.07283v1-abstract-short" style="display: inline;"> Electron antineutrino appearance is measured by the T2K experiment in an accelerator-produced antineutrino beam, using additional neutrino beam operation to constrain parameters of the PMNS mixing matrix. T2K observes 15 candidate electron antineutrino events with a background expectation of 9.3 events. Including information from the kinematic distribution of observed events, the hypothesis of no&hellip; <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('1911.07283v1-abstract-full').style.display = 'inline'; document.getElementById('1911.07283v1-abstract-short').style.display = 'none';">&#9661; More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="1911.07283v1-abstract-full" style="display: none;"> Electron antineutrino appearance is measured by the T2K experiment in an accelerator-produced antineutrino beam, using additional neutrino beam operation to constrain parameters of the PMNS mixing matrix. T2K observes 15 candidate electron antineutrino events with a background expectation of 9.3 events. Including information from the kinematic distribution of observed events, the hypothesis of no electron antineutrino appearance is disfavored with a significance of 2.40蟽 and no discrepancy between data and PMNS predictions is found. A complementary analysis that introduces an additional free parameter which allows non-PMNS values of electron neutrino and antineutrino appearance also finds no discrepancy between data and PMNS predictions. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('1911.07283v1-abstract-full').style.display = 'none'; document.getElementById('1911.07283v1-abstract-short').style.display = 'inline';">&#9651; Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 14 November, 2019; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> November 2019. </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">Comments:</span> <span class="has-text-grey-dark mathjax">arXiv admin note: text overlap with arXiv:1910.09439</span> </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">Journal ref:</span> Phys. Rev. Lett. 124, 161802 (2020) </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/1911.06869">arXiv:1911.06869</a> <span>&nbsp;[<a href="https://arxiv.org/pdf/1911.06869">pdf</a>, <a href="https://arxiv.org/format/1911.06869">other</a>]&nbsp;</span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="Methodology">stat.ME</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Machine Learning">stat.ML</span> </div> </div> <p class="title is-5 mathjax"> A Bootstrap-based Method for Testing Network Similarity </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/?searchtype=author&amp;query=Bhadra%2C+S">Somnath Bhadra</a>, <a href="/search/?searchtype=author&amp;query=Chakraborty%2C+K">Kaustav Chakraborty</a>, <a href="/search/?searchtype=author&amp;query=Sengupta%2C+S">Srijan Sengupta</a>, <a href="/search/?searchtype=author&amp;query=Lahiri%2C+S">Soumendra Lahiri</a> </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="1911.06869v3-abstract-short" style="display: inline;"> This paper studies the matched network inference problem, where the goal is to determine if two networks, defined on a common set of nodes, exhibit a specific form of stochastic similarity. Two notions of similarity are considered: (i) equality, i.e., testing whether the networks arise from the same random graph model, and (ii) scaling, i.e., testing whether their probability matrices are proporti&hellip; <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('1911.06869v3-abstract-full').style.display = 'inline'; document.getElementById('1911.06869v3-abstract-short').style.display = 'none';">&#9661; More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="1911.06869v3-abstract-full" style="display: none;"> This paper studies the matched network inference problem, where the goal is to determine if two networks, defined on a common set of nodes, exhibit a specific form of stochastic similarity. Two notions of similarity are considered: (i) equality, i.e., testing whether the networks arise from the same random graph model, and (ii) scaling, i.e., testing whether their probability matrices are proportional for some unknown scaling constant. We develop a testing framework based on a parametric bootstrap approach and a Frobenius norm-based test statistic. The proposed approach is highly versatile as it covers both the equality and scaling problems, and ensures adaptability under various model settings, including stochastic blockmodels, Chung-Lu models, and random dot product graph models. We establish theoretical consistency of the proposed tests and demonstrate their empirical performance through extensive simulations under a wide range of model classes. Our results establish the flexibility and computational efficiency of the proposed method compared to existing approaches. We also report a real-world application involving the Aarhus network dataset, which reveals meaningful sociological patterns across different communication layers. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('1911.06869v3-abstract-full').style.display = 'none'; document.getElementById('1911.06869v3-abstract-short').style.display = 'inline';">&#9651; Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 5 February, 2025; <span class="has-text-black-bis has-text-weight-semibold">v1</span> submitted 15 November, 2019; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> November 2019. </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/1910.12372">arXiv:1910.12372</a> <span>&nbsp;[<a href="https://arxiv.org/pdf/1910.12372">pdf</a>, <a href="https://arxiv.org/format/1910.12372">other</a>]&nbsp;</span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="Statistics Theory">math.ST</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Applications">stat.AP</span> </div> </div> <p class="title is-5 mathjax"> Density Power Downweighting and Robust Inference: Some New Strategies </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/?searchtype=author&amp;query=Roy%2C+S">Saptarshi Roy</a>, <a href="/search/?searchtype=author&amp;query=Chakraborty%2C+K">Kaustav Chakraborty</a>, <a href="/search/?searchtype=author&amp;query=Bhadra%2C+S">Somnath Bhadra</a>, <a href="/search/?searchtype=author&amp;query=Basu%2C+A">Ayanendranath Basu</a> </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="1910.12372v1-abstract-short" style="display: inline;"> Preserving the robustness of the procedure has, at the present time, become almost a default requirement for statistical data analysis. Since efficiency at the model and robustness under misspecification of the model are often in conflict, it is important to choose such inference procedures which provide the best compromise between these two concepts. Some minimum Bregman divergence estimators and&hellip; <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('1910.12372v1-abstract-full').style.display = 'inline'; document.getElementById('1910.12372v1-abstract-short').style.display = 'none';">&#9661; More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="1910.12372v1-abstract-full" style="display: none;"> Preserving the robustness of the procedure has, at the present time, become almost a default requirement for statistical data analysis. Since efficiency at the model and robustness under misspecification of the model are often in conflict, it is important to choose such inference procedures which provide the best compromise between these two concepts. Some minimum Bregman divergence estimators and related tests of hypothesis seem to be able to do well in this respect, with the procedures based on the density power divergence providing the existing standard. In this paper we propose a new family of Bregman divergences which is a superfamily encompassing the density power divergence. This paper describes the inference procedures resulting from this new family of divergences, and makes a strong case for the utility of this divergence family in statistical inference. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('1910.12372v1-abstract-full').style.display = 'none'; document.getElementById('1910.12372v1-abstract-short').style.display = 'inline';">&#9651; Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 27 October, 2019; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> October 2019. </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">Comments:</span> <span class="has-text-grey-dark mathjax">33 Pages, 6 Figures, 6 Tables</span> </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/1910.09439">arXiv:1910.09439</a> <span>&nbsp;[<a href="https://arxiv.org/pdf/1910.09439">pdf</a>, <a href="https://arxiv.org/format/1910.09439">other</a>]&nbsp;</span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="High Energy Physics - Experiment">hep-ex</span> </div> <div class="is-inline-block" style="margin-left: 0.5rem"> <div class="tags has-addons"> <span class="tag is-dark is-size-7">doi</span> <span class="tag is-light is-size-7"><a class="" href="https://doi.org/10.1103/PhysRevD.100.112009">10.1103/PhysRevD.100.112009 <i class="fa fa-external-link" aria-hidden="true"></i></a></span> </div> </div> </div> <p class="title is-5 mathjax"> Measurement of neutrino and antineutrino neutral-current quasielastic-like interactions on oxygen by detecting nuclear de-excitation $纬$-rays </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/?searchtype=author&amp;query=Abe%2C+K">K. Abe</a>, <a href="/search/?searchtype=author&amp;query=Akutsu%2C+R">R. Akutsu</a>, <a href="/search/?searchtype=author&amp;query=Ali%2C+A">A. Ali</a>, <a href="/search/?searchtype=author&amp;query=Alt%2C+C">C. Alt</a>, <a href="/search/?searchtype=author&amp;query=Andreopoulos%2C+C">C. Andreopoulos</a>, <a href="/search/?searchtype=author&amp;query=Anthony%2C+L">L. Anthony</a>, <a href="/search/?searchtype=author&amp;query=Antonova%2C+M">M. Antonova</a>, <a href="/search/?searchtype=author&amp;query=Aoki%2C+S">S. Aoki</a>, <a href="/search/?searchtype=author&amp;query=Ariga%2C+A">A. Ariga</a>, <a href="/search/?searchtype=author&amp;query=Ashida%2C+Y">Y. Ashida</a>, <a href="/search/?searchtype=author&amp;query=Atkin%2C+E+T">E. T. Atkin</a>, <a href="/search/?searchtype=author&amp;query=Awataguchi%2C+Y">Y. Awataguchi</a>, <a href="/search/?searchtype=author&amp;query=Ban%2C+S">S. Ban</a>, <a href="/search/?searchtype=author&amp;query=Barbi%2C+M">M. Barbi</a>, <a href="/search/?searchtype=author&amp;query=Barker%2C+G+J">G. J. Barker</a>, <a href="/search/?searchtype=author&amp;query=Barr%2C+G">G. Barr</a>, <a href="/search/?searchtype=author&amp;query=Barry%2C+C">C. Barry</a>, <a href="/search/?searchtype=author&amp;query=Batkiewicz-Kwasniak%2C+M">M. Batkiewicz-Kwasniak</a>, <a href="/search/?searchtype=author&amp;query=Beloshapkin%2C+A">A. Beloshapkin</a>, <a href="/search/?searchtype=author&amp;query=Bench%2C+F">F. Bench</a>, <a href="/search/?searchtype=author&amp;query=Berardi%2C+V">V. Berardi</a>, <a href="/search/?searchtype=author&amp;query=Berkman%2C+S">S. Berkman</a>, <a href="/search/?searchtype=author&amp;query=Berns%2C+L">L. Berns</a>, <a href="/search/?searchtype=author&amp;query=Bhadra%2C+S">S. Bhadra</a>, <a href="/search/?searchtype=author&amp;query=Bienstock%2C+S">S. Bienstock</a> , et al. (308 additional authors not shown) </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="1910.09439v2-abstract-short" style="display: inline;"> Neutrino- and antineutrino-oxygen neutral-current quasielastic-like interactions are measured at Super-Kamiokande using nuclear de-excitation $纬$-rays to identify signal-like interactions in data from a $14.94 \ (16.35)\times 10^{20}$ protons-on-target exposure of the T2K neutrino (antineutrino) beam. The measured flux-averaged cross sections on oxygen nuclei are&hellip; <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('1910.09439v2-abstract-full').style.display = 'inline'; document.getElementById('1910.09439v2-abstract-short').style.display = 'none';">&#9661; More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="1910.09439v2-abstract-full" style="display: none;"> Neutrino- and antineutrino-oxygen neutral-current quasielastic-like interactions are measured at Super-Kamiokande using nuclear de-excitation $纬$-rays to identify signal-like interactions in data from a $14.94 \ (16.35)\times 10^{20}$ protons-on-target exposure of the T2K neutrino (antineutrino) beam. The measured flux-averaged cross sections on oxygen nuclei are $\langle 蟽_{谓{\rm -NCQE}} \rangle = 1.70 \pm 0.17 ({\rm stat.}) ^{+ {\rm 0.51}}_{- {\rm 0.38}} ({\rm syst.}) \times 10^{-38} \ {\rm cm^2/oxygen}$ with a flux-averaged energy of 0.82 GeV and $\langle 蟽_{\bar谓 {\rm -NCQE}} \rangle = 0.98 \pm 0.16 ({\rm stat.}) ^{+ {\rm 0.26}}_{- {\rm 0.19}} ({\rm syst.}) \times 10^{-38} \ {\rm cm^2/oxygen}$ with a flux-averaged energy of 0.68 GeV, for neutrinos and antineutrinos, respectively. These results are the most precise to date, and the antineutrino result is the first cross section measurement of this channel. They are compared with various theoretical predictions. The impact on evaluation of backgrounds to searches for supernova relic neutrinos at present and future water Cherenkov detectors is also discussed. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('1910.09439v2-abstract-full').style.display = 'none'; document.getElementById('1910.09439v2-abstract-short').style.display = 'inline';">&#9651; Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 29 November, 2019; <span class="has-text-black-bis has-text-weight-semibold">v1</span> submitted 21 October, 2019; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> October 2019. </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">Comments:</span> <span class="has-text-grey-dark mathjax">19 pages, 16 figures, 4 tables</span> </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">Journal ref:</span> Phys. Rev. D 100, 112009 (2019) </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/1910.03887">arXiv:1910.03887</a> <span>&nbsp;[<a href="https://arxiv.org/pdf/1910.03887">pdf</a>, <a href="https://arxiv.org/format/1910.03887">other</a>]&nbsp;</span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="High Energy Physics - Experiment">hep-ex</span> </div> <div class="is-inline-block" style="margin-left: 0.5rem"> <div class="tags has-addons"> <span class="tag is-dark is-size-7">doi</span> <span class="tag is-light is-size-7"><a class="" href="https://doi.org/10.1038/s41586-020-2177-0">10.1038/s41586-020-2177-0 <i class="fa fa-external-link" aria-hidden="true"></i></a></span> </div> </div> </div> <p class="title is-5 mathjax"> Constraint on the Matter-Antimatter Symmetry-Violating Phase in Neutrino Oscillations </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/?searchtype=author&amp;query=Abe%2C+K">K. Abe</a>, <a href="/search/?searchtype=author&amp;query=Akutsu%2C+R">R. Akutsu</a>, <a href="/search/?searchtype=author&amp;query=Ali%2C+A">A. Ali</a>, <a href="/search/?searchtype=author&amp;query=Alt%2C+C">C. Alt</a>, <a href="/search/?searchtype=author&amp;query=Andreopoulos%2C+C">C. Andreopoulos</a>, <a href="/search/?searchtype=author&amp;query=Anthony%2C+L">L. Anthony</a>, <a href="/search/?searchtype=author&amp;query=Antonova%2C+M">M. Antonova</a>, <a href="/search/?searchtype=author&amp;query=Aoki%2C+S">S. Aoki</a>, <a href="/search/?searchtype=author&amp;query=Ariga%2C+A">A. Ariga</a>, <a href="/search/?searchtype=author&amp;query=Asada%2C+Y">Y. Asada</a>, <a href="/search/?searchtype=author&amp;query=Ashida%2C+Y">Y. Ashida</a>, <a href="/search/?searchtype=author&amp;query=Atkin%2C+E+T">E. T. Atkin</a>, <a href="/search/?searchtype=author&amp;query=Awataguchi%2C+Y">Y. Awataguchi</a>, <a href="/search/?searchtype=author&amp;query=Ban%2C+S">S. Ban</a>, <a href="/search/?searchtype=author&amp;query=Barbi%2C+M">M. Barbi</a>, <a href="/search/?searchtype=author&amp;query=Barker%2C+G+J">G. J. Barker</a>, <a href="/search/?searchtype=author&amp;query=Barr%2C+G">G. Barr</a>, <a href="/search/?searchtype=author&amp;query=Barry%2C+C">C. Barry</a>, <a href="/search/?searchtype=author&amp;query=Batkiewicz-Kwasniak%2C+M">M. Batkiewicz-Kwasniak</a>, <a href="/search/?searchtype=author&amp;query=Beloshapkin%2C+A">A. Beloshapkin</a>, <a href="/search/?searchtype=author&amp;query=Bench%2C+F">F. Bench</a>, <a href="/search/?searchtype=author&amp;query=Berardi%2C+V">V. Berardi</a>, <a href="/search/?searchtype=author&amp;query=Berkman%2C+S">S. Berkman</a>, <a href="/search/?searchtype=author&amp;query=Berns%2C+L">L. Berns</a>, <a href="/search/?searchtype=author&amp;query=Bhadra%2C+S">S. Bhadra</a> , et al. (310 additional authors not shown) </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="1910.03887v3-abstract-short" style="display: inline;"> The current laws of physics do not explain the observed imbalance of matter and antimatter in the universe. Sakharov proposed that an explanation would require the violation of CP symmetry between matter and antimatter. The only CP violation observed so far is in the weak interactions of quarks, and it is too small to explain the matter-antimatter imbalance of the universe. It has been shown that&hellip; <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('1910.03887v3-abstract-full').style.display = 'inline'; document.getElementById('1910.03887v3-abstract-short').style.display = 'none';">&#9661; More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="1910.03887v3-abstract-full" style="display: none;"> The current laws of physics do not explain the observed imbalance of matter and antimatter in the universe. Sakharov proposed that an explanation would require the violation of CP symmetry between matter and antimatter. The only CP violation observed so far is in the weak interactions of quarks, and it is too small to explain the matter-antimatter imbalance of the universe. It has been shown that CP violation in the lepton sector could generate the matter-antimatter disparity through the process called leptogenesis. The quantum mixing of neutrinos, the neutral leptons in the Standard Model, provides a potential source of CP violation through a complex phase dCP, which may have consequences for theoretical models of leptogenesis. This CP violation can be measured in muon neutrino to electron neutrino oscillations and the corresponding antineutrino oscillations, which are experimentally accessible with accelerator-produced beams as established by the T2K experiment. Until now, the value of dCP has not been significantly constrained by neutrino oscillation experiments. Here the T2K collaboration reports a measurement that favors large enhancement of the neutrino oscillation probability, excluding values of dCP which result in a large enhancement of the observed anti-neutrino oscillation probability at three standard deviations (3 sigma). The 3 sigma confidence level interval for dCP, which is cyclic and repeats every 2pi, is [-3.41,-0.03] for the so-called normal mass ordering, and [-2.54,-0.32] for the inverted mass ordering. Our results show an indication of CP violation in the lepton sector. Herein we establish methods for sensitive searches for matter-antimatter asymmetry in neutrino oscillations using accelerator-produced neutrino beams. Future measurements with larger data samples will determine whether the leptonic CP violation is larger than the quark sector CP violation. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('1910.03887v3-abstract-full').style.display = 'none'; document.getElementById('1910.03887v3-abstract-short').style.display = 'inline';">&#9651; Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 25 January, 2021; <span class="has-text-black-bis has-text-weight-semibold">v1</span> submitted 9 October, 2019; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> October 2019. </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">Journal ref:</span> Nature 580, 339-344 (2020) </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/1909.03936">arXiv:1909.03936</a> <span>&nbsp;[<a href="https://arxiv.org/pdf/1909.03936">pdf</a>, <a href="https://arxiv.org/format/1909.03936">other</a>]&nbsp;</span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="High Energy Physics - Experiment">hep-ex</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Nuclear Experiment">nucl-ex</span> </div> <div class="is-inline-block" style="margin-left: 0.5rem"> <div class="tags has-addons"> <span class="tag is-dark is-size-7">doi</span> <span class="tag is-light is-size-7"><a class="" href="https://doi.org/10.1103/PhysRevD.101.012007">10.1103/PhysRevD.101.012007 <i class="fa fa-external-link" aria-hidden="true"></i></a></span> </div> </div> </div> <p class="title is-5 mathjax"> Measurement of the muon neutrino charged-current single $蟺^+$ production on hydrocarbon using the T2K off-axis near detector ND280 </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/?searchtype=author&amp;query=Abe%2C+K">K. Abe</a>, <a href="/search/?searchtype=author&amp;query=Akutsu%2C+R">R. Akutsu</a>, <a href="/search/?searchtype=author&amp;query=Ali%2C+A">A. Ali</a>, <a href="/search/?searchtype=author&amp;query=Alt%2C+C">C. Alt</a>, <a href="/search/?searchtype=author&amp;query=Amey%2C+J">J. Amey</a>, <a href="/search/?searchtype=author&amp;query=Andreopoulos%2C+C">C. Andreopoulos</a>, <a href="/search/?searchtype=author&amp;query=Anthony%2C+L">L. Anthony</a>, <a href="/search/?searchtype=author&amp;query=Antonova%2C+M">M. Antonova</a>, <a href="/search/?searchtype=author&amp;query=Aoki%2C+S">S. Aoki</a>, <a href="/search/?searchtype=author&amp;query=Ariga%2C+A">A. Ariga</a>, <a href="/search/?searchtype=author&amp;query=Ashida%2C+Y">Y. Ashida</a>, <a href="/search/?searchtype=author&amp;query=Atkin%2C+E+T">E. T. Atkin</a>, <a href="/search/?searchtype=author&amp;query=Awataguchi%2C+Y">Y. Awataguchi</a>, <a href="/search/?searchtype=author&amp;query=Azuma%2C+Y">Y. Azuma</a>, <a href="/search/?searchtype=author&amp;query=Ban%2C+S">S. Ban</a>, <a href="/search/?searchtype=author&amp;query=Barbi%2C+M">M. Barbi</a>, <a href="/search/?searchtype=author&amp;query=Barker%2C+G+J">G. J. Barker</a>, <a href="/search/?searchtype=author&amp;query=Barr%2C+G">G. Barr</a>, <a href="/search/?searchtype=author&amp;query=Barry%2C+C">C. Barry</a>, <a href="/search/?searchtype=author&amp;query=Batkiewicz-Kwasniak%2C+M">M. Batkiewicz-Kwasniak</a>, <a href="/search/?searchtype=author&amp;query=Beloshapkin%2C+A">A. Beloshapkin</a>, <a href="/search/?searchtype=author&amp;query=Bench%2C+F">F. Bench</a>, <a href="/search/?searchtype=author&amp;query=Berardi%2C+V">V. Berardi</a>, <a href="/search/?searchtype=author&amp;query=Berkman%2C+S">S. Berkman</a>, <a href="/search/?searchtype=author&amp;query=Berner%2C+R+M">R. M. Berner</a> , et al. (356 additional authors not shown) </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="1909.03936v3-abstract-short" style="display: inline;"> We report the measurements of single and double differential cross section of muon neutrino charged-current interactions on carbon with a single positively charged pion in the final state at the T2K off-axis near detector using $5.56\times10^{20}$ protons on target. The analysis uses data control samples for the background subtraction and the cross section signal, defined as a single negatively ch&hellip; <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('1909.03936v3-abstract-full').style.display = 'inline'; document.getElementById('1909.03936v3-abstract-short').style.display = 'none';">&#9661; More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="1909.03936v3-abstract-full" style="display: none;"> We report the measurements of single and double differential cross section of muon neutrino charged-current interactions on carbon with a single positively charged pion in the final state at the T2K off-axis near detector using $5.56\times10^{20}$ protons on target. The analysis uses data control samples for the background subtraction and the cross section signal, defined as a single negatively charged muon and a single positively charged pion exiting from the target nucleus, is extracted using an unfolding method. The model dependent cross section, integrated over the T2K off-axis neutrino beam spectrum peaking at $0.6$~GeV, is measured to be $蟽= (11.76 \pm 0.44 \text{(stat)} \pm 2.39 \text{(syst)}) \times 10^{-40} \text{cm}^2$~$\text{nucleon}^{-1}$. Various differential cross sections are measured, including the first measurement of the Adler angles for single charged pion production in neutrino interactions with heavy nuclei target. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('1909.03936v3-abstract-full').style.display = 'none'; document.getElementById('1909.03936v3-abstract-short').style.display = 'inline';">&#9651; Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 17 September, 2019; <span class="has-text-black-bis has-text-weight-semibold">v1</span> submitted 9 September, 2019; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> September 2019. </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">Journal ref:</span> Phys. Rev. D 101, 012007 (2020) </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/1908.10249">arXiv:1908.10249</a> <span>&nbsp;[<a href="https://arxiv.org/pdf/1908.10249">pdf</a>, <a href="https://arxiv.org/format/1908.10249">other</a>]&nbsp;</span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="High Energy Physics - Experiment">hep-ex</span> </div> <div class="is-inline-block" style="margin-left: 0.5rem"> <div class="tags has-addons"> <span class="tag is-dark is-size-7">doi</span> <span class="tag is-light is-size-7"><a class="" href="https://doi.org/10.1103/PhysRevD.102.012007">10.1103/PhysRevD.102.012007 <i class="fa fa-external-link" aria-hidden="true"></i></a></span> </div> </div> </div> <p class="title is-5 mathjax"> First Measurement of the Charged Current $\overline谓_渭$ Double Differential Cross Section on a Water Target without Pions in the final state </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/?searchtype=author&amp;query=Abe%2C+K">K. Abe</a>, <a href="/search/?searchtype=author&amp;query=Akutsu%2C+R">R. Akutsu</a>, <a href="/search/?searchtype=author&amp;query=Ali%2C+A">A. Ali</a>, <a href="/search/?searchtype=author&amp;query=Alt%2C+C">C. Alt</a>, <a href="/search/?searchtype=author&amp;query=Andreopoulos%2C+C">C. Andreopoulos</a>, <a href="/search/?searchtype=author&amp;query=Anthony%2C+L">L. Anthony</a>, <a href="/search/?searchtype=author&amp;query=Antonova%2C+M">M. Antonova</a>, <a href="/search/?searchtype=author&amp;query=Aoki%2C+S">S. Aoki</a>, <a href="/search/?searchtype=author&amp;query=Ariga%2C+A">A. Ariga</a>, <a href="/search/?searchtype=author&amp;query=Ashida%2C+Y">Y. Ashida</a>, <a href="/search/?searchtype=author&amp;query=Atkin%2C+E+T">E. T. Atkin</a>, <a href="/search/?searchtype=author&amp;query=Awataguchi%2C+Y">Y. Awataguchi</a>, <a href="/search/?searchtype=author&amp;query=Ban%2C+S">S. Ban</a>, <a href="/search/?searchtype=author&amp;query=Barbi%2C+M">M. Barbi</a>, <a href="/search/?searchtype=author&amp;query=Barker%2C+G+J">G. J. Barker</a>, <a href="/search/?searchtype=author&amp;query=Barr%2C+G">G. Barr</a>, <a href="/search/?searchtype=author&amp;query=Barry%2C+C">C. Barry</a>, <a href="/search/?searchtype=author&amp;query=Batkiewicz-Kwasniak%2C+M">M. Batkiewicz-Kwasniak</a>, <a href="/search/?searchtype=author&amp;query=Beloshapkin%2C+A">A. Beloshapkin</a>, <a href="/search/?searchtype=author&amp;query=Bench%2C+F">F. Bench</a>, <a href="/search/?searchtype=author&amp;query=Berardi%2C+V">V. Berardi</a>, <a href="/search/?searchtype=author&amp;query=Berkman%2C+S">S. Berkman</a>, <a href="/search/?searchtype=author&amp;query=Berns%2C+L">L. Berns</a>, <a href="/search/?searchtype=author&amp;query=Bhadra%2C+S">S. Bhadra</a>, <a href="/search/?searchtype=author&amp;query=Bienstock%2C+S">S. Bienstock</a> , et al. (300 additional authors not shown) </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="1908.10249v1-abstract-short" style="display: inline;"> This paper reports the first differential measurement of the charged-current $\overline谓_渭$ interaction cross section on water with no pions in the final state. The unfolded flux-averaged measurement using the T2K off-axis near detector is given in double differential bins of $渭^+$ momentum and angle. The integrated cross section in a restricted phase space is&hellip; <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('1908.10249v1-abstract-full').style.display = 'inline'; document.getElementById('1908.10249v1-abstract-short').style.display = 'none';">&#9661; More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="1908.10249v1-abstract-full" style="display: none;"> This paper reports the first differential measurement of the charged-current $\overline谓_渭$ interaction cross section on water with no pions in the final state. The unfolded flux-averaged measurement using the T2K off-axis near detector is given in double differential bins of $渭^+$ momentum and angle. The integrated cross section in a restricted phase space is $蟽=\left(1.11\pm0.18\right)\times10^{-38}$ cm$^{2}$ per water molecule. Comparisons with several nuclear models are also presented. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('1908.10249v1-abstract-full').style.display = 'none'; document.getElementById('1908.10249v1-abstract-short').style.display = 'inline';">&#9651; Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 27 August, 2019; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> August 2019. </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">Comments:</span> <span class="has-text-grey-dark mathjax">19 pages, 10 figures</span> </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">Journal ref:</span> Phys. Rev. D 102, 012007 (2020) </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/1908.05141">arXiv:1908.05141</a> <span>&nbsp;[<a href="https://arxiv.org/pdf/1908.05141">pdf</a>, <a href="https://arxiv.org/format/1908.05141">other</a>]&nbsp;</span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="Instrumentation and Detectors">physics.ins-det</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="High Energy Physics - Experiment">hep-ex</span> </div> </div> <p class="title is-5 mathjax"> J-PARC Neutrino Beamline Upgrade Technical Design Report </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/?searchtype=author&amp;query=Abe%2C+K">K. Abe</a>, <a href="/search/?searchtype=author&amp;query=Aihara%2C+H">H. Aihara</a>, <a href="/search/?searchtype=author&amp;query=Ajmi%2C+A">A. Ajmi</a>, <a href="/search/?searchtype=author&amp;query=Alt%2C+C">C. Alt</a>, <a href="/search/?searchtype=author&amp;query=Andreopoulos%2C+C">C. Andreopoulos</a>, <a href="/search/?searchtype=author&amp;query=Antonova%2C+M">M. Antonova</a>, <a href="/search/?searchtype=author&amp;query=Aoki%2C+S">S. Aoki</a>, <a href="/search/?searchtype=author&amp;query=Asada%2C+Y">Y. Asada</a>, <a href="/search/?searchtype=author&amp;query=Ashida%2C+Y">Y. Ashida</a>, <a href="/search/?searchtype=author&amp;query=Atherton%2C+A">A. Atherton</a>, <a href="/search/?searchtype=author&amp;query=Atkin%2C+E">E. Atkin</a>, <a href="/search/?searchtype=author&amp;query=Ban%2C+S">S. Ban</a>, <a href="/search/?searchtype=author&amp;query=Barbato%2C+F+C+T">F. C. T. Barbato</a>, <a href="/search/?searchtype=author&amp;query=Barbi%2C+M">M. Barbi</a>, <a href="/search/?searchtype=author&amp;query=Barker%2C+G+J">G. J. Barker</a>, <a href="/search/?searchtype=author&amp;query=Barr%2C+G">G. Barr</a>, <a href="/search/?searchtype=author&amp;query=Batkiewicz%2C+M">M. Batkiewicz</a>, <a href="/search/?searchtype=author&amp;query=Beloshapkin%2C+A">A. Beloshapkin</a>, <a href="/search/?searchtype=author&amp;query=Berardi%2C+V">V. Berardi</a>, <a href="/search/?searchtype=author&amp;query=Berns%2C+L">L. Berns</a>, <a href="/search/?searchtype=author&amp;query=Bhadra%2C+S">S. Bhadra</a>, <a href="/search/?searchtype=author&amp;query=Bian%2C+J">J. Bian</a>, <a href="/search/?searchtype=author&amp;query=Bienstock%2C+S">S. Bienstock</a>, <a href="/search/?searchtype=author&amp;query=Blondel%2C+A">A. Blondel</a>, <a href="/search/?searchtype=author&amp;query=Bolognesi%2C+S">S. Bolognesi</a> , et al. (360 additional authors not shown) </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="1908.05141v1-abstract-short" style="display: inline;"> In this document, technical details of the upgrade plan of the J-PARC neutrino beamline for the extension of the T2K experiment are described. T2K has proposed to accumulate data corresponding to $2\times{}10^{22}$ protons-on-target in the next decade, aiming at an initial observation of CP violation with $3蟽$ or higher significance in the case of maximal CP violation. Methods to increase the neut&hellip; <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('1908.05141v1-abstract-full').style.display = 'inline'; document.getElementById('1908.05141v1-abstract-short').style.display = 'none';">&#9661; More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="1908.05141v1-abstract-full" style="display: none;"> In this document, technical details of the upgrade plan of the J-PARC neutrino beamline for the extension of the T2K experiment are described. T2K has proposed to accumulate data corresponding to $2\times{}10^{22}$ protons-on-target in the next decade, aiming at an initial observation of CP violation with $3蟽$ or higher significance in the case of maximal CP violation. Methods to increase the neutrino beam intensity, which are necessary to achieve the proposed data increase, are described. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('1908.05141v1-abstract-full').style.display = 'none'; document.getElementById('1908.05141v1-abstract-short').style.display = 'inline';">&#9651; Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 14 August, 2019; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> August 2019. </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/1906.05205">arXiv:1906.05205</a> <span>&nbsp;[<a href="https://arxiv.org/pdf/1906.05205">pdf</a>, <a href="https://arxiv.org/format/1906.05205">other</a>]&nbsp;</span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="Machine Learning">cs.LG</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Machine Learning">stat.ML</span> </div> </div> <p class="title is-5 mathjax"> Warping Resilient Scalable Anomaly Detection in Time Series </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/?searchtype=author&amp;query=S%2C+A">Abilasha S</a>, <a href="/search/?searchtype=author&amp;query=Bhadra%2C+S">Sahely Bhadra</a>, <a href="/search/?searchtype=author&amp;query=P%2C+D">Deepak P</a>, <a href="/search/?searchtype=author&amp;query=Mathew%2C+A">Anish Mathew</a> </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="1906.05205v2-abstract-short" style="display: inline;"> Time series data is ubiquitous in the real-world problems across various domains including healthcare, social media, and crime surveillance. Detecting anomalies, or irregular and rare events, in time series data, can enable us to find abnormal events in any natural phenomena, which may require special treatment. Moreover, labeled instances of anomaly are hard to get in time series data. On the oth&hellip; <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('1906.05205v2-abstract-full').style.display = 'inline'; document.getElementById('1906.05205v2-abstract-short').style.display = 'none';">&#9661; More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="1906.05205v2-abstract-full" style="display: none;"> Time series data is ubiquitous in the real-world problems across various domains including healthcare, social media, and crime surveillance. Detecting anomalies, or irregular and rare events, in time series data, can enable us to find abnormal events in any natural phenomena, which may require special treatment. Moreover, labeled instances of anomaly are hard to get in time series data. On the other hand, time series data, due to its nature, often exhibits localized expansions and compressions in the time dimension which is called warping. These two challenges make it hard to detect anomalies in time series as often such warpings could get detected as anomalies erroneously. Our objective is to build an anomaly detection model that is robust to such warping variations. In this paper, we propose a novel unsupervised time series anomaly detection method, WaRTEm-AD, that operates in two stages. Within the key stage of representation learning, we employ data augmentation through bespoke time series operators which are passed through a twin autoencoder architecture to learn warping-robust representations for time series data. Second, adaptations of state-of-the-art anomaly detection methods are employed on the learnt representations to identify anomalies. We will illustrate that WaRTEm-AD is designed to detect two types of time series anomalies: point and sequence anomalies. We compare WaRTEm-AD with the state-of-the-art baselines and establish the effectiveness of our method both in terms of anomaly detection performance and computational efficiency. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('1906.05205v2-abstract-full').style.display = 'none'; document.getElementById('1906.05205v2-abstract-short').style.display = 'inline';">&#9651; Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 2 October, 2021; <span class="has-text-black-bis has-text-weight-semibold">v1</span> submitted 12 June, 2019; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> June 2019. </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">Comments:</span> <span class="has-text-grey-dark mathjax">October 2021: in communication to ECML PKDD Journal Track</span> </p> </li> </ol> <nav class="pagination is-small 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