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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/2502.04209">arXiv:2502.04209</a> <span> [<a href="https://arxiv.org/pdf/2502.04209">pdf</a>, <a href="https://arxiv.org/format/2502.04209">other</a>] </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"> Radon Removal in XENONnT down to the Solar Neutrino Level </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/?searchtype=author&query=Aprile%2C+E">E. Aprile</a>, <a href="/search/?searchtype=author&query=Aalbers%2C+J">J. Aalbers</a>, <a href="/search/?searchtype=author&query=Abe%2C+K">K. Abe</a>, <a href="/search/?searchtype=author&query=Maouloud%2C+S+A">S. Ahmed Maouloud</a>, <a href="/search/?searchtype=author&query=Althueser%2C+L">L. Althueser</a>, <a href="/search/?searchtype=author&query=Andrieu%2C+B">B. Andrieu</a>, <a href="/search/?searchtype=author&query=Angelino%2C+E">E. Angelino</a>, <a href="/search/?searchtype=author&query=Martin%2C+D+A">D. Ant贸n Martin</a>, <a href="/search/?searchtype=author&query=Arneodo%2C+F">F. Arneodo</a>, <a href="/search/?searchtype=author&query=Baudis%2C+L">L. Baudis</a>, <a href="/search/?searchtype=author&query=Bazyk%2C+M">M. Bazyk</a>, <a href="/search/?searchtype=author&query=Bellagamba%2C+L">L. Bellagamba</a>, <a href="/search/?searchtype=author&query=Biondi%2C+R">R. Biondi</a>, <a href="/search/?searchtype=author&query=Bismark%2C+A">A. Bismark</a>, <a href="/search/?searchtype=author&query=Boese%2C+K">K. Boese</a>, <a href="/search/?searchtype=author&query=Brown%2C+A">A. Brown</a>, <a href="/search/?searchtype=author&query=Bruno%2C+G">G. Bruno</a>, <a href="/search/?searchtype=author&query=Budnik%2C+R">R. Budnik</a>, <a href="/search/?searchtype=author&query=Cai%2C+C">C. Cai</a>, <a href="/search/?searchtype=author&query=Capelli%2C+C">C. Capelli</a>, <a href="/search/?searchtype=author&query=Cardoso%2C+J+M+R">J. M. R. Cardoso</a>, <a href="/search/?searchtype=author&query=Ch%C3%A1vez%2C+A+P+C">A. P. Cimental Ch谩vez</a>, <a href="/search/?searchtype=author&query=Colijn%2C+A+P">A. P. Colijn</a>, <a href="/search/?searchtype=author&query=Conrad%2C+J">J. Conrad</a>, <a href="/search/?searchtype=author&query=Cuenca-Garc%C3%ADa%2C+J+J">J. J. Cuenca-Garc铆a</a> , et al. (147 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="2502.04209v1-abstract-short" style="display: inline;"> The XENONnT experiment has achieved an unprecedented reduction of the $^\text{222}$Rn activity concentration within its liquid xenon dual-phase time projection chamber to a level of (0.90$\,\pm\,$0.01$\,$stat.$\,\pm\,$0.07 sys.)$\,渭$Bq/kg, equivalent to about 1200 $^\text{222}$Rn atoms per cubic meter of liquid xenon. This represents a 15-fold improvement over the $^\text{222}$Rn levels encountere… <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2502.04209v1-abstract-full').style.display = 'inline'; document.getElementById('2502.04209v1-abstract-short').style.display = 'none';">▽ More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2502.04209v1-abstract-full" style="display: none;"> The XENONnT experiment has achieved an unprecedented reduction of the $^\text{222}$Rn activity concentration within its liquid xenon dual-phase time projection chamber to a level of (0.90$\,\pm\,$0.01$\,$stat.$\,\pm\,$0.07 sys.)$\,渭$Bq/kg, equivalent to about 1200 $^\text{222}$Rn atoms per cubic meter of liquid xenon. This represents a 15-fold improvement over the $^\text{222}$Rn levels encountered during XENON1T's main science runs and is a factor five lower compared to other currently operational multi-tonne liquid xenon detectors engaged in dark matter searches. This breakthrough enables the pursuit of various rare event searches that lie beyond the confines of the standard model of particle physics, with world-leading sensitivity. The ultra-low $^\text{222}$Rn levels have diminished the radon-induced background rate in the detector to a point where it is for the first time lower than the solar neutrino-induced background, which is poised to become the primary irreducible background in liquid xenon-based detectors. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2502.04209v1-abstract-full').style.display = 'none'; document.getElementById('2502.04209v1-abstract-short').style.display = 'inline';">△ Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 6 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/2412.10451">arXiv:2412.10451</a> <span> [<a href="https://arxiv.org/pdf/2412.10451">pdf</a>, <a href="https://arxiv.org/format/2412.10451">other</a>] </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"> Low-Energy Nuclear Recoil Calibration of XENONnT with a $^{88}$YBe Photoneutron Source </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/?searchtype=author&query=XENON+Collaboration"> XENON Collaboration</a>, <a href="/search/?searchtype=author&query=Aprile%2C+E">E. Aprile</a>, <a href="/search/?searchtype=author&query=Aalbers%2C+J">J. Aalbers</a>, <a href="/search/?searchtype=author&query=Abe%2C+K">K. Abe</a>, <a href="/search/?searchtype=author&query=Maouloud%2C+S+A">S. Ahmed Maouloud</a>, <a href="/search/?searchtype=author&query=Althueser%2C+L">L. Althueser</a>, <a href="/search/?searchtype=author&query=Andrieu%2C+B">B. Andrieu</a>, <a href="/search/?searchtype=author&query=Angelino%2C+E">E. Angelino</a>, <a href="/search/?searchtype=author&query=Ant%2C+D">D. Ant</a>, <a href="/search/?searchtype=author&query=Arneodo%2C+F">F. Arneodo</a>, <a href="/search/?searchtype=author&query=Baudis%2C+L">L. Baudis</a>, <a href="/search/?searchtype=author&query=Bazyk%2C+M">M. Bazyk</a>, <a href="/search/?searchtype=author&query=Bellagamba%2C+L">L. Bellagamba</a>, <a href="/search/?searchtype=author&query=Biondi%2C+R">R. Biondi</a>, <a href="/search/?searchtype=author&query=Bismark%2C+A">A. Bismark</a>, <a href="/search/?searchtype=author&query=Boese%2C+K">K. Boese</a>, <a href="/search/?searchtype=author&query=Brown%2C+A">A. Brown</a>, <a href="/search/?searchtype=author&query=Bruno%2C+G">G. Bruno</a>, <a href="/search/?searchtype=author&query=Budnik%2C+R">R. Budnik</a>, <a href="/search/?searchtype=author&query=Cai%2C+C">C. Cai</a>, <a href="/search/?searchtype=author&query=Capelli%2C+C">C. Capelli</a>, <a href="/search/?searchtype=author&query=Cardoso%2C+J+M+R">J. M. R. Cardoso</a>, <a href="/search/?searchtype=author&query=Ch%2C+A+P+C">A. P. Cimental Ch</a>, <a href="/search/?searchtype=author&query=Colijn%2C+A+P">A. P. Colijn</a>, <a href="/search/?searchtype=author&query=Conrad%2C+J">J. Conrad</a> , et al. (147 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="2412.10451v1-abstract-short" style="display: inline;"> Characterizing low-energy (O(1keV)) nuclear recoils near the detector threshold is one of the major challenges for large direct dark matter detectors. To that end, we have successfully used a Yttrium-Beryllium photoneutron source that emits 152 keV neutrons for the calibration of the light and charge yields of the XENONnT experiment for the first time. After data selection, we accumulated 474 even… <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2412.10451v1-abstract-full').style.display = 'inline'; document.getElementById('2412.10451v1-abstract-short').style.display = 'none';">▽ More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2412.10451v1-abstract-full" style="display: none;"> Characterizing low-energy (O(1keV)) nuclear recoils near the detector threshold is one of the major challenges for large direct dark matter detectors. To that end, we have successfully used a Yttrium-Beryllium photoneutron source that emits 152 keV neutrons for the calibration of the light and charge yields of the XENONnT experiment for the first time. After data selection, we accumulated 474 events from 183 hours of exposure with this source. The expected background was $55 \pm 12$ accidental coincidence events, estimated using a dedicated 152 hour background calibration run with a Yttrium-PVC gamma-only source and data-driven modeling. From these calibrations, we extracted the light yield and charge yield for liquid xenon at our field strength of 23 V/cm between 0.5 keV$_{\rm NR}$ and 5.0 keV$_{\rm NR}$ (nuclear recoil energy in keV). This calibration is crucial for accurately measuring the solar $^8$B neutrino coherent elastic neutrino-nucleus scattering and searching for light dark matter particles with masses below 12 GeV/c$^2$. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2412.10451v1-abstract-full').style.display = 'none'; document.getElementById('2412.10451v1-abstract-short').style.display = 'inline';">△ Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 11 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/2412.05264">arXiv:2412.05264</a> <span> [<a href="https://arxiv.org/pdf/2412.05264">pdf</a>, <a href="https://arxiv.org/format/2412.05264">other</a>] </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="Cosmology and Nongalactic Astrophysics">astro-ph.CO</span> <span class="tag is-small is-grey 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 Physics - Experiment">hep-ex</span> </div> </div> <p class="title is-5 mathjax"> The neutron veto of the XENONnT experiment: Results with demineralized water </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/?searchtype=author&query=XENON+Collaboration"> XENON Collaboration</a>, <a href="/search/?searchtype=author&query=Aprile%2C+E">E. Aprile</a>, <a href="/search/?searchtype=author&query=Aalbers%2C+J">J. Aalbers</a>, <a href="/search/?searchtype=author&query=Abe%2C+K">K. Abe</a>, <a href="/search/?searchtype=author&query=Maouloud%2C+S+A">S. Ahmed Maouloud</a>, <a href="/search/?searchtype=author&query=Althueser%2C+L">L. Althueser</a>, <a href="/search/?searchtype=author&query=Andrieu%2C+B">B. Andrieu</a>, <a href="/search/?searchtype=author&query=Angelino%2C+E">E. Angelino</a>, <a href="/search/?searchtype=author&query=Martin%2C+D+A">D. Ant贸n Martin</a>, <a href="/search/?searchtype=author&query=Arneodo%2C+F">F. Arneodo</a>, <a href="/search/?searchtype=author&query=Baudis%2C+L">L. Baudis</a>, <a href="/search/?searchtype=author&query=Bazyk%2C+M">M. Bazyk</a>, <a href="/search/?searchtype=author&query=Bellagamba%2C+L">L. Bellagamba</a>, <a href="/search/?searchtype=author&query=Biondi%2C+R">R. Biondi</a>, <a href="/search/?searchtype=author&query=Bismark%2C+A">A. Bismark</a>, <a href="/search/?searchtype=author&query=Boese%2C+K">K. Boese</a>, <a href="/search/?searchtype=author&query=Brown%2C+A">A. Brown</a>, <a href="/search/?searchtype=author&query=Bruno%2C+G">G. Bruno</a>, <a href="/search/?searchtype=author&query=Budnik%2C+R">R. Budnik</a>, <a href="/search/?searchtype=author&query=Cai%2C+C">C. Cai</a>, <a href="/search/?searchtype=author&query=Capelli%2C+C">C. Capelli</a>, <a href="/search/?searchtype=author&query=Cardoso%2C+J+M+R">J. M. R. Cardoso</a>, <a href="/search/?searchtype=author&query=Ch%C3%A1vez%2C+A+P+C">A. P. Cimental Ch谩vez</a>, <a href="/search/?searchtype=author&query=Colijn%2C+A+P">A. P. Colijn</a>, <a href="/search/?searchtype=author&query=Conrad%2C+J">J. Conrad</a> , et al. (145 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="2412.05264v3-abstract-short" style="display: inline;"> Radiogenic neutrons emitted by detector materials are one of the most challenging backgrounds for the direct search of dark matter in the form of weakly interacting massive particles (WIMPs). To mitigate this background, the XENONnT experiment is equipped with a novel gadolinium-doped water Cherenkov detector, which encloses the xenon dual-phase time projection chamber (TPC). The neutron veto (NV)… <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2412.05264v3-abstract-full').style.display = 'inline'; document.getElementById('2412.05264v3-abstract-short').style.display = 'none';">▽ More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2412.05264v3-abstract-full" style="display: none;"> Radiogenic neutrons emitted by detector materials are one of the most challenging backgrounds for the direct search of dark matter in the form of weakly interacting massive particles (WIMPs). To mitigate this background, the XENONnT experiment is equipped with a novel gadolinium-doped water Cherenkov detector, which encloses the xenon dual-phase time projection chamber (TPC). The neutron veto (NV) tags neutrons via their capture on gadolinium or hydrogen, which release $纬$-rays that are subsequently detected as Cherenkov light. In this work, we present the key features and the first results of the XENONnT NV when operated with demineralized water in the initial phase of the experiment. Its efficiency for detecting neutrons is $(82\pm 1)\,\%$, the highest neutron detection efficiency achieved in a water Cherenkov detector. This enables a high efficiency of $(53\pm 3)\,\%$ for the tagging of WIMP-like neutron signals, inside a tagging time window of $250\,\mathrm{渭s}$ between TPC and NV, leading to a livetime loss of $1.6\,\%$ during the first science run of XENONnT. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2412.05264v3-abstract-full').style.display = 'none'; document.getElementById('2412.05264v3-abstract-short').style.display = 'inline';">△ Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 18 December, 2024; <span class="has-text-black-bis has-text-weight-semibold">v1</span> submitted 6 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/2411.16935">arXiv:2411.16935</a> <span> [<a href="https://arxiv.org/pdf/2411.16935">pdf</a>, <a href="https://arxiv.org/format/2411.16935">other</a>] </span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="Classical Analysis and ODEs">math.CA</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Metric Geometry">math.MG</span> </div> </div> <p class="title is-5 mathjax"> Buffon Needle Problem Over Convex Sets </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/?searchtype=author&query=Dannenberg%2C+M">M. Dannenberg</a>, <a href="/search/?searchtype=author&query=Hagerstrom%2C+W">W. Hagerstrom</a>, <a href="/search/?searchtype=author&query=Hart%2C+G">G. Hart</a>, <a href="/search/?searchtype=author&query=Iosevich%2C+A">A. Iosevich</a>, <a href="/search/?searchtype=author&query=Le%2C+T">T. Le</a>, <a href="/search/?searchtype=author&query=Li%2C+I">I. Li</a>, <a href="/search/?searchtype=author&query=Skerrett%2C+N">N. Skerrett</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="2411.16935v1-abstract-short" style="display: inline;"> We solve a variant of the classical Buffon Needle problem. More specifically, we inspect the probability that a randomly oriented needle of length $l$ originating in a bounded convex set $X\subset\mathbb{R}^2$ lies entirely within $X$. Using techniques from convex geometry, we prove an isoperimetric type inequality, showing that among sets $X$ with equal perimeter, the disk maximizes this probabil… <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2411.16935v1-abstract-full').style.display = 'inline'; document.getElementById('2411.16935v1-abstract-short').style.display = 'none';">▽ More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2411.16935v1-abstract-full" style="display: none;"> We solve a variant of the classical Buffon Needle problem. More specifically, we inspect the probability that a randomly oriented needle of length $l$ originating in a bounded convex set $X\subset\mathbb{R}^2$ lies entirely within $X$. Using techniques from convex geometry, we prove an isoperimetric type inequality, showing that among sets $X$ with equal perimeter, the disk maximizes this probability. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2411.16935v1-abstract-full').style.display = 'none'; document.getElementById('2411.16935v1-abstract-short').style.display = 'inline';">△ Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 25 November, 2024; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> November 2024. </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">MSC Class:</span> 42B10 </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2411.15289">arXiv:2411.15289</a> <span> [<a href="https://arxiv.org/pdf/2411.15289">pdf</a>, <a href="https://arxiv.org/format/2411.15289">other</a>] </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"> Search for Light Dark Matter in Low-Energy Ionization Signals from XENONnT </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/?searchtype=author&query=Aprile%2C+E">E. Aprile</a>, <a href="/search/?searchtype=author&query=Aalbers%2C+J">J. Aalbers</a>, <a href="/search/?searchtype=author&query=Abe%2C+K">K. Abe</a>, <a href="/search/?searchtype=author&query=Maouloud%2C+S+A">S. Ahmed Maouloud</a>, <a href="/search/?searchtype=author&query=Althueser%2C+L">L. Althueser</a>, <a href="/search/?searchtype=author&query=Andrieu%2C+B">B. Andrieu</a>, <a href="/search/?searchtype=author&query=Angelino%2C+E">E. Angelino</a>, <a href="/search/?searchtype=author&query=Martin%2C+D+A">D. Ant贸n Martin</a>, <a href="/search/?searchtype=author&query=Arneodo%2C+F">F. Arneodo</a>, <a href="/search/?searchtype=author&query=Baudis%2C+L">L. Baudis</a>, <a href="/search/?searchtype=author&query=Bazyk%2C+M">M. Bazyk</a>, <a href="/search/?searchtype=author&query=Bellagamba%2C+L">L. Bellagamba</a>, <a href="/search/?searchtype=author&query=Biondi%2C+R">R. Biondi</a>, <a href="/search/?searchtype=author&query=Bismark%2C+A">A. Bismark</a>, <a href="/search/?searchtype=author&query=Boese%2C+K">K. Boese</a>, <a href="/search/?searchtype=author&query=Brown%2C+A">A. Brown</a>, <a href="/search/?searchtype=author&query=Bruno%2C+G">G. Bruno</a>, <a href="/search/?searchtype=author&query=Budnik%2C+R">R. Budnik</a>, <a href="/search/?searchtype=author&query=Cai%2C+C">C. Cai</a>, <a href="/search/?searchtype=author&query=Capelli%2C+C">C. Capelli</a>, <a href="/search/?searchtype=author&query=Cardoso%2C+J+M+R">J. M. R. Cardoso</a>, <a href="/search/?searchtype=author&query=Ch%C3%A1vez%2C+A+P+C">A. P. Cimental Ch谩vez</a>, <a href="/search/?searchtype=author&query=Colijn%2C+A+P">A. P. Colijn</a>, <a href="/search/?searchtype=author&query=Conrad%2C+J">J. Conrad</a>, <a href="/search/?searchtype=author&query=Cuenca-Garc%C3%ADa%2C+J+J">J. J. Cuenca-Garc铆a</a> , et al. (143 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="2411.15289v1-abstract-short" style="display: inline;"> We report on a blinded search for dark matter with single- and few-electron signals in the first science run of XENONnT relying on a novel detector response framework that is physics-model-dependent. We derive 90\% confidence upper limits for dark matter-electron interactions. Heavy and light mediator cases are considered for the standard halo model and dark matter up-scattered in the Sun. We set… <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2411.15289v1-abstract-full').style.display = 'inline'; document.getElementById('2411.15289v1-abstract-short').style.display = 'none';">▽ More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2411.15289v1-abstract-full" style="display: none;"> We report on a blinded search for dark matter with single- and few-electron signals in the first science run of XENONnT relying on a novel detector response framework that is physics-model-dependent. We derive 90\% confidence upper limits for dark matter-electron interactions. Heavy and light mediator cases are considered for the standard halo model and dark matter up-scattered in the Sun. We set stringent new limits on dark matter-electron scattering via a heavy mediator with a mass within 10-20\,MeV/$c^2$ and electron absorption of axion-like particles and dark photons for $m_蠂$ below 0.186\,keV/$c^2$. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2411.15289v1-abstract-full').style.display = 'none'; document.getElementById('2411.15289v1-abstract-short').style.display = 'inline';">△ 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> <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">9 pages, 5 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/2411.11156">arXiv:2411.11156</a> <span> [<a href="https://arxiv.org/pdf/2411.11156">pdf</a>, <a href="https://arxiv.org/format/2411.11156">other</a>] </span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="Mesoscale and Nanoscale Physics">cond-mat.mes-hall</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Materials Science">cond-mat.mtrl-sci</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Strongly Correlated Electrons">cond-mat.str-el</span> </div> </div> <p class="title is-5 mathjax"> Observation of giant nonlinear Hall conductivity in Bernal bilayer graphene </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/?searchtype=author&query=Chichinadze%2C+D+V">Dmitry V. Chichinadze</a>, <a href="/search/?searchtype=author&query=Zhang%2C+N+J">Naiyuan James Zhang</a>, <a href="/search/?searchtype=author&query=Lin%2C+J">Jiang-Xiazi Lin</a>, <a href="/search/?searchtype=author&query=Wang%2C+X">Xiaoyu Wang</a>, <a href="/search/?searchtype=author&query=Watanabe%2C+K">Kenji Watanabe</a>, <a href="/search/?searchtype=author&query=Taniguchi%2C+T">Takashi Taniguchi</a>, <a href="/search/?searchtype=author&query=Vafek%2C+O">Oskar Vafek</a>, <a href="/search/?searchtype=author&query=Li%2C+J+I+A">J. I. A. Li</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="2411.11156v1-abstract-short" style="display: inline;"> In a system of two-dimensional electrons, a combination of broken symmetry, interactions, and nontrivial topology can conspire to give rise to a nonlinear transport regime, where electric current density scales as the square of electric field. This regime has become a venue for exciting discoveries such as the nonlinear Hall effect and diode-like nonreciprocal transport. However, interpretation of… <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2411.11156v1-abstract-full').style.display = 'inline'; document.getElementById('2411.11156v1-abstract-short').style.display = 'none';">▽ More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2411.11156v1-abstract-full" style="display: none;"> In a system of two-dimensional electrons, a combination of broken symmetry, interactions, and nontrivial topology can conspire to give rise to a nonlinear transport regime, where electric current density scales as the square of electric field. This regime has become a venue for exciting discoveries such as the nonlinear Hall effect and diode-like nonreciprocal transport. However, interpretation of experimental data is challenging in the nonlinear regime as DC transport is described by a rank-3 conductivity tensor with 6 free parameters. Here, we resolve this challenge by analytically solving for the nonlinear potential distribution across the disk sample for an arbitrary linear and nonlinear conductivity tensors. This allows us to unambiguously extract all components of the nonlinear tensor from experimental measurement. Using this novel tool, we identify giant nonlinear Hall effect in Bernal bilayer graphene. Our methodology provides the first systematic framework for interpreting nonlinear transport and uncovers a new route towards understanding quasi-2D materials. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2411.11156v1-abstract-full').style.display = 'none'; document.getElementById('2411.11156v1-abstract-short').style.display = 'inline';">△ Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 17 November, 2024; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> November 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">10 pages, 4 figures + 85 pages, 16 figures in SI</span> </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2410.24208">arXiv:2410.24208</a> <span> [<a href="https://arxiv.org/pdf/2410.24208">pdf</a>, <a href="https://arxiv.org/format/2410.24208">other</a>] </span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="Mesoscale and Nanoscale Physics">cond-mat.mes-hall</span> </div> </div> <p class="title is-5 mathjax"> Identification and Control of Neutral Anyons </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/?searchtype=author&query=Nguyen%2C+R+Q">Ron Q. Nguyen</a>, <a href="/search/?searchtype=author&query=Zhang%2C+N+J">Naiyuan J. Zhang</a>, <a href="/search/?searchtype=author&query=Batra%2C+N">Navketan Batra</a>, <a href="/search/?searchtype=author&query=Liu%2C+X">Xiaoxue Liu</a>, <a href="/search/?searchtype=author&query=Watanabe%2C+K">Kenji Watanabe</a>, <a href="/search/?searchtype=author&query=Taniguchi%2C+T">Takashi Taniguchi</a>, <a href="/search/?searchtype=author&query=Feldman%2C+D+E">D. E. Feldman</a>, <a href="/search/?searchtype=author&query=Li%2C+J+I+A">J. I. A. Li</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="2410.24208v1-abstract-short" style="display: inline;"> Beyond the well-known fermions and bosons, anyons-an exotic class of particles-emerge in the fractional quantum Hall effect and exhibit fractional quantum statistics. Anyons can be categorized by their charge, with extensive research focused on those carrying fractional charge, while charge-neutral anyons in 2D electron liquids remain largely unexplored. Here, we introduce bilayer excitons as a ne… <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2410.24208v1-abstract-full').style.display = 'inline'; document.getElementById('2410.24208v1-abstract-short').style.display = 'none';">▽ More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2410.24208v1-abstract-full" style="display: none;"> Beyond the well-known fermions and bosons, anyons-an exotic class of particles-emerge in the fractional quantum Hall effect and exhibit fractional quantum statistics. Anyons can be categorized by their charge, with extensive research focused on those carrying fractional charge, while charge-neutral anyons in 2D electron liquids remain largely unexplored. Here, we introduce bilayer excitons as a new pathway to realizing charge-neutral anyons. By pairing quasiparticles and quasiholes from Laughlin states, we report bilayer excitons that obey fractional quantum statistics. Through layer-asymmetric field-effect doping, we achieve precise control of the anyon population, stabilizing anyonic dipoles at temperatures below the charge gap. Furthermore, we investigate neutral anyons in even-denominator FQHE states, which are likely described by non-Abelian wavefunctions. These findings open the door to exploring non-Abelian statistics in neutral anyons, with the potential to reshape future research in topological quantum phases. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2410.24208v1-abstract-full').style.display = 'none'; document.getElementById('2410.24208v1-abstract-short').style.display = 'inline';">△ 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> <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">9 pages for main text, 4 main figures, total of 16 pages, total of 6 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/2410.19016">arXiv:2410.19016</a> <span> [<a href="https://arxiv.org/pdf/2410.19016">pdf</a>, <a href="https://arxiv.org/format/2410.19016">other</a>] </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> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Nuclear Experiment">nucl-ex</span> </div> </div> <p class="title is-5 mathjax"> Neutrinoless Double Beta Decay Sensitivity of the XLZD Rare Event Observatory </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/?searchtype=author&query=XLZD+Collaboration"> XLZD Collaboration</a>, <a href="/search/?searchtype=author&query=Aalbers%2C+J">J. Aalbers</a>, <a href="/search/?searchtype=author&query=Abe%2C+K">K. Abe</a>, <a href="/search/?searchtype=author&query=Adrover%2C+M">M. Adrover</a>, <a href="/search/?searchtype=author&query=Maouloud%2C+S+A">S. Ahmed Maouloud</a>, <a href="/search/?searchtype=author&query=Akerib%2C+D+S">D. S. Akerib</a>, <a href="/search/?searchtype=author&query=Musalhi%2C+A+K+A">A. K. Al Musalhi</a>, <a href="/search/?searchtype=author&query=Alder%2C+F">F. Alder</a>, <a href="/search/?searchtype=author&query=Althueser%2C+L">L. Althueser</a>, <a href="/search/?searchtype=author&query=Amaral%2C+D+W+P">D. W. P. Amaral</a>, <a href="/search/?searchtype=author&query=Amarasinghe%2C+C+S">C. S. Amarasinghe</a>, <a href="/search/?searchtype=author&query=Ames%2C+A">A. Ames</a>, <a href="/search/?searchtype=author&query=Andrieu%2C+B">B. Andrieu</a>, <a href="/search/?searchtype=author&query=Angelides%2C+N">N. Angelides</a>, <a href="/search/?searchtype=author&query=Angelino%2C+E">E. Angelino</a>, <a href="/search/?searchtype=author&query=Antunovic%2C+B">B. Antunovic</a>, <a href="/search/?searchtype=author&query=Aprile%2C+E">E. Aprile</a>, <a href="/search/?searchtype=author&query=Ara%C3%BAjo%2C+H+M">H. M. Ara煤jo</a>, <a href="/search/?searchtype=author&query=Armstrong%2C+J+E">J. E. Armstrong</a>, <a href="/search/?searchtype=author&query=Arthurs%2C+M">M. Arthurs</a>, <a href="/search/?searchtype=author&query=Babicz%2C+M">M. Babicz</a>, <a href="/search/?searchtype=author&query=Bajpai%2C+D">D. Bajpai</a>, <a href="/search/?searchtype=author&query=Baker%2C+A">A. Baker</a>, <a href="/search/?searchtype=author&query=Balzer%2C+M">M. Balzer</a>, <a href="/search/?searchtype=author&query=Bang%2C+J">J. Bang</a> , et al. (419 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="2410.19016v1-abstract-short" style="display: inline;"> The XLZD collaboration is developing a two-phase xenon time projection chamber with an active mass of 60 to 80 t capable of probing the remaining WIMP-nucleon interaction parameter space down to the so-called neutrino fog. In this work we show that, based on the performance of currently operating detectors using the same technology and a realistic reduction of radioactivity in detector materials,… <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2410.19016v1-abstract-full').style.display = 'inline'; document.getElementById('2410.19016v1-abstract-short').style.display = 'none';">▽ More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2410.19016v1-abstract-full" style="display: none;"> The XLZD collaboration is developing a two-phase xenon time projection chamber with an active mass of 60 to 80 t capable of probing the remaining WIMP-nucleon interaction parameter space down to the so-called neutrino fog. In this work we show that, based on the performance of currently operating detectors using the same technology and a realistic reduction of radioactivity in detector materials, such an experiment will also be able to competitively search for neutrinoless double beta decay in $^{136}$Xe using a natural-abundance xenon target. XLZD can reach a 3$蟽$ discovery potential half-life of 5.7$\times$10$^{27}$ yr (and a 90% CL exclusion of 1.3$\times$10$^{28}$ yr) with 10 years of data taking, corresponding to a Majorana mass range of 7.3-31.3 meV (4.8-20.5 meV). XLZD will thus exclude the inverted neutrino mass ordering parameter space and will start to probe the normal ordering region for most of the nuclear matrix elements commonly considered by the community. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2410.19016v1-abstract-full').style.display = 'none'; document.getElementById('2410.19016v1-abstract-short').style.display = 'inline';">△ Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 23 October, 2024; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> October 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">29 pages, 7 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/2410.17600">arXiv:2410.17600</a> <span> [<a href="https://arxiv.org/pdf/2410.17600">pdf</a>, <a href="https://arxiv.org/format/2410.17600">other</a>] </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> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Databases">cs.DB</span> </div> </div> <p class="title is-5 mathjax"> Graphusion: A RAG Framework for Knowledge Graph Construction with a Global Perspective </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/?searchtype=author&query=Yang%2C+R">Rui Yang</a>, <a href="/search/?searchtype=author&query=Yang%2C+B">Boming Yang</a>, <a href="/search/?searchtype=author&query=Feng%2C+A">Aosong Feng</a>, <a href="/search/?searchtype=author&query=Ouyang%2C+S">Sixun Ouyang</a>, <a href="/search/?searchtype=author&query=Blum%2C+M">Moritz Blum</a>, <a href="/search/?searchtype=author&query=She%2C+T">Tianwei She</a>, <a href="/search/?searchtype=author&query=Jiang%2C+Y">Yuang Jiang</a>, <a href="/search/?searchtype=author&query=Lecue%2C+F">Freddy Lecue</a>, <a href="/search/?searchtype=author&query=Lu%2C+J">Jinghui Lu</a>, <a href="/search/?searchtype=author&query=Li%2C+I">Irene Li</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="2410.17600v2-abstract-short" style="display: inline;"> Knowledge Graphs (KGs) are crucial in the field of artificial intelligence and are widely used in downstream tasks, such as question-answering (QA). The construction of KGs typically requires significant effort from domain experts. Large Language Models (LLMs) have recently been used for Knowledge Graph Construction (KGC). However, most existing approaches focus on a local perspective, extracting… <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2410.17600v2-abstract-full').style.display = 'inline'; document.getElementById('2410.17600v2-abstract-short').style.display = 'none';">▽ More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2410.17600v2-abstract-full" style="display: none;"> Knowledge Graphs (KGs) are crucial in the field of artificial intelligence and are widely used in downstream tasks, such as question-answering (QA). The construction of KGs typically requires significant effort from domain experts. Large Language Models (LLMs) have recently been used for Knowledge Graph Construction (KGC). However, most existing approaches focus on a local perspective, extracting knowledge triplets from individual sentences or documents, missing a fusion process to combine the knowledge in a global KG. This work introduces Graphusion, a zero-shot KGC framework from free text. It contains three steps: in Step 1, we extract a list of seed entities using topic modeling to guide the final KG includes the most relevant entities; in Step 2, we conduct candidate triplet extraction using LLMs; in Step 3, we design the novel fusion module that provides a global view of the extracted knowledge, incorporating entity merging, conflict resolution, and novel triplet discovery. Results show that Graphusion achieves scores of 2.92 and 2.37 out of 3 for entity extraction and relation recognition, respectively. Moreover, we showcase how Graphusion could be applied to the Natural Language Processing (NLP) domain and validate it in an educational scenario. Specifically, we introduce TutorQA, a new expert-verified benchmark for QA, comprising six tasks and a total of 1,200 QA pairs. Using the Graphusion-constructed KG, we achieve a significant improvement on the benchmark, for example, a 9.2% accuracy improvement on sub-graph completion. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2410.17600v2-abstract-full').style.display = 'none'; document.getElementById('2410.17600v2-abstract-short').style.display = 'inline';">△ Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 3 February, 2025; <span class="has-text-black-bis has-text-weight-semibold">v1</span> submitted 23 October, 2024; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> October 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">arXiv admin note: substantial text overlap with arXiv:2407.10794</span> </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2410.17137">arXiv:2410.17137</a> <span> [<a href="https://arxiv.org/pdf/2410.17137">pdf</a>, <a href="https://arxiv.org/format/2410.17137">other</a>] </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="High Energy Physics - Phenomenology">hep-ph</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"> The XLZD Design Book: Towards the Next-Generation Liquid Xenon Observatory for Dark Matter and Neutrino Physics </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/?searchtype=author&query=XLZD+Collaboration"> XLZD Collaboration</a>, <a href="/search/?searchtype=author&query=Aalbers%2C+J">J. Aalbers</a>, <a href="/search/?searchtype=author&query=Abe%2C+K">K. Abe</a>, <a href="/search/?searchtype=author&query=Adrover%2C+M">M. Adrover</a>, <a href="/search/?searchtype=author&query=Maouloud%2C+S+A">S. Ahmed Maouloud</a>, <a href="/search/?searchtype=author&query=Akerib%2C+D+S">D. S. Akerib</a>, <a href="/search/?searchtype=author&query=Musalhi%2C+A+K+A">A. K. Al Musalhi</a>, <a href="/search/?searchtype=author&query=Alder%2C+F">F. Alder</a>, <a href="/search/?searchtype=author&query=Althueser%2C+L">L. Althueser</a>, <a href="/search/?searchtype=author&query=Amaral%2C+D+W+P">D. W. P. Amaral</a>, <a href="/search/?searchtype=author&query=Amarasinghe%2C+C+S">C. S. Amarasinghe</a>, <a href="/search/?searchtype=author&query=Ames%2C+A">A. Ames</a>, <a href="/search/?searchtype=author&query=Andrieu%2C+B">B. Andrieu</a>, <a href="/search/?searchtype=author&query=Angelides%2C+N">N. Angelides</a>, <a href="/search/?searchtype=author&query=Angelino%2C+E">E. Angelino</a>, <a href="/search/?searchtype=author&query=Antunovic%2C+B">B. Antunovic</a>, <a href="/search/?searchtype=author&query=Aprile%2C+E">E. Aprile</a>, <a href="/search/?searchtype=author&query=Ara%C3%BAjo%2C+H+M">H. M. Ara煤jo</a>, <a href="/search/?searchtype=author&query=Armstrong%2C+J+E">J. E. Armstrong</a>, <a href="/search/?searchtype=author&query=Arthurs%2C+M">M. Arthurs</a>, <a href="/search/?searchtype=author&query=Babicz%2C+M">M. Babicz</a>, <a href="/search/?searchtype=author&query=Bajpai%2C+D">D. Bajpai</a>, <a href="/search/?searchtype=author&query=Baker%2C+A">A. Baker</a>, <a href="/search/?searchtype=author&query=Balzer%2C+M">M. Balzer</a>, <a href="/search/?searchtype=author&query=Bang%2C+J">J. Bang</a> , et al. (419 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="2410.17137v1-abstract-short" style="display: inline;"> This report describes the experimental strategy and technologies for a next-generation xenon observatory sensitive to dark matter and neutrino physics. The detector will have an active liquid xenon target mass of 60-80 tonnes and is proposed by the XENON-LUX-ZEPLIN-DARWIN (XLZD) collaboration. The design is based on the mature liquid xenon time projection chamber technology of the current-generati… <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2410.17137v1-abstract-full').style.display = 'inline'; document.getElementById('2410.17137v1-abstract-short').style.display = 'none';">▽ More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2410.17137v1-abstract-full" style="display: none;"> This report describes the experimental strategy and technologies for a next-generation xenon observatory sensitive to dark matter and neutrino physics. The detector will have an active liquid xenon target mass of 60-80 tonnes and is proposed by the XENON-LUX-ZEPLIN-DARWIN (XLZD) collaboration. The design is based on the mature liquid xenon time projection chamber technology of the current-generation experiments, LZ and XENONnT. A baseline design and opportunities for further optimization of the individual detector components are discussed. The experiment envisaged here has the capability to explore parameter space for Weakly Interacting Massive Particle (WIMP) dark matter down to the neutrino fog, with a 3$蟽$ evidence potential for the spin-independent WIMP-nucleon cross sections as low as $3\times10^{-49}\rm cm^2$ (at 40 GeV/c$^2$ WIMP mass). The observatory is also projected to have a 3$蟽$ observation potential of neutrinoless double-beta decay of $^{136}$Xe at a half-life of up to $5.7\times 10^{27}$ years. Additionally, it is sensitive to astrophysical neutrinos from the atmosphere, sun, and galactic supernovae. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2410.17137v1-abstract-full').style.display = 'none'; document.getElementById('2410.17137v1-abstract-short').style.display = 'inline';">△ Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 22 October, 2024; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> October 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">32 pages, 14 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/2410.13125">arXiv:2410.13125</a> <span> [<a href="https://arxiv.org/pdf/2410.13125">pdf</a>, <a href="https://arxiv.org/format/2410.13125">other</a>] </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"> Transformers4NewsRec: A Transformer-based News Recommendation Framework </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/?searchtype=author&query=Liu%2C+D">Dairui Liu</a>, <a href="/search/?searchtype=author&query=Du%2C+H">Honghui Du</a>, <a href="/search/?searchtype=author&query=Yang%2C+B">Boming Yang</a>, <a href="/search/?searchtype=author&query=Hurley%2C+N">Neil Hurley</a>, <a href="/search/?searchtype=author&query=Lawlor%2C+A">Aonghus Lawlor</a>, <a href="/search/?searchtype=author&query=Li%2C+I">Irene Li</a>, <a href="/search/?searchtype=author&query=Greene%2C+D">Derek Greene</a>, <a href="/search/?searchtype=author&query=Dong%2C+R">Ruihai Dong</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="2410.13125v1-abstract-short" style="display: inline;"> Pre-trained transformer models have shown great promise in various natural language processing tasks, including personalized news recommendations. To harness the power of these models, we introduce Transformers4NewsRec, a new Python framework built on the \textbf{Transformers} library. This framework is designed to unify and compare the performance of various news recommendation models, including… <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2410.13125v1-abstract-full').style.display = 'inline'; document.getElementById('2410.13125v1-abstract-short').style.display = 'none';">▽ More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2410.13125v1-abstract-full" style="display: none;"> Pre-trained transformer models have shown great promise in various natural language processing tasks, including personalized news recommendations. To harness the power of these models, we introduce Transformers4NewsRec, a new Python framework built on the \textbf{Transformers} library. This framework is designed to unify and compare the performance of various news recommendation models, including deep neural networks and graph-based models. Transformers4NewsRec offers flexibility in terms of model selection, data preprocessing, and evaluation, allowing both quantitative and qualitative analysis. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2410.13125v1-abstract-full').style.display = 'none'; document.getElementById('2410.13125v1-abstract-short').style.display = 'inline';">△ Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 16 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/2410.11531">arXiv:2410.11531</a> <span> [<a href="https://arxiv.org/pdf/2410.11531">pdf</a>, <a href="https://arxiv.org/format/2410.11531">other</a>] </span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="Artificial Intelligence">cs.AI</span> </div> </div> <p class="title is-5 mathjax"> AGENTiGraph: An Interactive Knowledge Graph Platform for LLM-based Chatbots Utilizing Private Data </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/?searchtype=author&query=Zhao%2C+X">Xinjie Zhao</a>, <a href="/search/?searchtype=author&query=Blum%2C+M">Moritz Blum</a>, <a href="/search/?searchtype=author&query=Yang%2C+R">Rui Yang</a>, <a href="/search/?searchtype=author&query=Yang%2C+B">Boming Yang</a>, <a href="/search/?searchtype=author&query=Carpintero%2C+L+M">Luis M谩rquez Carpintero</a>, <a href="/search/?searchtype=author&query=Pina-Navarro%2C+M">M贸nica Pina-Navarro</a>, <a href="/search/?searchtype=author&query=Wang%2C+T">Tony Wang</a>, <a href="/search/?searchtype=author&query=Li%2C+X">Xin Li</a>, <a href="/search/?searchtype=author&query=Li%2C+H">Huitao Li</a>, <a href="/search/?searchtype=author&query=Fu%2C+Y">Yanran Fu</a>, <a href="/search/?searchtype=author&query=Wang%2C+R">Rongrong Wang</a>, <a href="/search/?searchtype=author&query=Zhang%2C+J">Juntao Zhang</a>, <a href="/search/?searchtype=author&query=Li%2C+I">Irene Li</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="2410.11531v1-abstract-short" style="display: inline;"> Large Language Models~(LLMs) have demonstrated capabilities across various applications but face challenges such as hallucination, limited reasoning abilities, and factual inconsistencies, especially when tackling complex, domain-specific tasks like question answering~(QA). While Knowledge Graphs~(KGs) have been shown to help mitigate these issues, research on the integration of LLMs with backgrou… <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2410.11531v1-abstract-full').style.display = 'inline'; document.getElementById('2410.11531v1-abstract-short').style.display = 'none';">▽ More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2410.11531v1-abstract-full" style="display: none;"> Large Language Models~(LLMs) have demonstrated capabilities across various applications but face challenges such as hallucination, limited reasoning abilities, and factual inconsistencies, especially when tackling complex, domain-specific tasks like question answering~(QA). While Knowledge Graphs~(KGs) have been shown to help mitigate these issues, research on the integration of LLMs with background KGs remains limited. In particular, user accessibility and the flexibility of the underlying KG have not been thoroughly explored. We introduce AGENTiGraph (Adaptive Generative ENgine for Task-based Interaction and Graphical Representation), a platform for knowledge management through natural language interaction. It integrates knowledge extraction, integration, and real-time visualization. AGENTiGraph employs a multi-agent architecture to dynamically interpret user intents, manage tasks, and integrate new knowledge, ensuring adaptability to evolving user requirements and data contexts. Our approach demonstrates superior performance in knowledge graph interactions, particularly for complex domain-specific tasks. Experimental results on a dataset of 3,500 test cases show AGENTiGraph significantly outperforms state-of-the-art zero-shot baselines, achieving 95.12\% accuracy in task classification and 90.45\% success rate in task execution. User studies corroborate its effectiveness in real-world scenarios. To showcase versatility, we extended AGENTiGraph to legislation and healthcare domains, constructing specialized KGs capable of answering complex queries in legal and medical contexts. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2410.11531v1-abstract-full').style.display = 'none'; document.getElementById('2410.11531v1-abstract-short').style.display = 'inline';">△ 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">originally announced</span> October 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">30 pages, 7 figures; Submitted to COLING 2025 System Demonstrations Track</span> </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2410.00755">arXiv:2410.00755</a> <span> [<a href="https://arxiv.org/pdf/2410.00755">pdf</a>, <a href="https://arxiv.org/format/2410.00755">other</a>] </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> </div> </div> <p class="title is-5 mathjax"> Model-independent searches of new physics in DARWIN with a semi-supervised deep learning pipeline </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/?searchtype=author&query=Aalbers%2C+J">J. Aalbers</a>, <a href="/search/?searchtype=author&query=Abe%2C+K">K. Abe</a>, <a href="/search/?searchtype=author&query=Adrover%2C+M">M. Adrover</a>, <a href="/search/?searchtype=author&query=Maouloud%2C+S+A">S. Ahmed Maouloud</a>, <a href="/search/?searchtype=author&query=Althueser%2C+L">L. Althueser</a>, <a href="/search/?searchtype=author&query=Amaral%2C+D+W+P">D. W. P. Amaral</a>, <a href="/search/?searchtype=author&query=Andrieu%2C+B">B. Andrieu</a>, <a href="/search/?searchtype=author&query=Angelino%2C+E">E. Angelino</a>, <a href="/search/?searchtype=author&query=Martin%2C+D+A">D. Ant贸n Martin</a>, <a href="/search/?searchtype=author&query=Antunovic%2C+B">B. Antunovic</a>, <a href="/search/?searchtype=author&query=Aprile%2C+E">E. Aprile</a>, <a href="/search/?searchtype=author&query=Babicz%2C+M">M. Babicz</a>, <a href="/search/?searchtype=author&query=Bajpai%2C+D">D. Bajpai</a>, <a href="/search/?searchtype=author&query=Balzer%2C+M">M. Balzer</a>, <a href="/search/?searchtype=author&query=Barberio%2C+E">E. Barberio</a>, <a href="/search/?searchtype=author&query=Baudis%2C+L">L. Baudis</a>, <a href="/search/?searchtype=author&query=Bazyk%2C+M">M. Bazyk</a>, <a href="/search/?searchtype=author&query=Bell%2C+N+F">N. F. Bell</a>, <a href="/search/?searchtype=author&query=Bellagamba%2C+L">L. Bellagamba</a>, <a href="/search/?searchtype=author&query=Biondi%2C+R">R. Biondi</a>, <a href="/search/?searchtype=author&query=Biondi%2C+Y">Y. Biondi</a>, <a href="/search/?searchtype=author&query=Bismark%2C+A">A. Bismark</a>, <a href="/search/?searchtype=author&query=Boehm%2C+C">C. Boehm</a>, <a href="/search/?searchtype=author&query=Boese%2C+K">K. Boese</a>, <a href="/search/?searchtype=author&query=Braun%2C+R">R. Braun</a> , et al. (209 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="2410.00755v1-abstract-short" style="display: inline;"> We present a novel deep learning pipeline to perform a model-independent, likelihood-free search for anomalous (i.e., non-background) events in the proposed next generation multi-ton scale liquid Xenon-based direct detection experiment, DARWIN. We train an anomaly detector comprising a variational autoencoder and a classifier on extensive, high-dimensional simulated detector response data and cons… <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2410.00755v1-abstract-full').style.display = 'inline'; document.getElementById('2410.00755v1-abstract-short').style.display = 'none';">▽ More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2410.00755v1-abstract-full" style="display: none;"> We present a novel deep learning pipeline to perform a model-independent, likelihood-free search for anomalous (i.e., non-background) events in the proposed next generation multi-ton scale liquid Xenon-based direct detection experiment, DARWIN. We train an anomaly detector comprising a variational autoencoder and a classifier on extensive, high-dimensional simulated detector response data and construct a one-dimensional anomaly score optimised to reject the background only hypothesis in the presence of an excess of non-background-like events. We benchmark the procedure with a sensitivity study that determines its power to reject the background-only hypothesis in the presence of an injected WIMP dark matter signal, outperforming the classical, likelihood-based background rejection test. We show that our neural networks learn relevant energy features of the events from low-level, high-dimensional detector outputs, without the need to compress this data into lower-dimensional observables, thus reducing computational effort and information loss. For the future, our approach lays the foundation for an efficient end-to-end pipeline that eliminates the need for many of the corrections and cuts that are traditionally part of the analysis chain, with the potential of achieving higher accuracy and significant reduction of analysis time. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2410.00755v1-abstract-full').style.display = 'none'; document.getElementById('2410.00755v1-abstract-short').style.display = 'inline';">△ Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 1 October, 2024; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> October 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">10 Figures, 3 Tables, 23 Pages (incl. references)</span> </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2409.17909">arXiv:2409.17909</a> <span> [<a href="https://arxiv.org/pdf/2409.17909">pdf</a>] </span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="Risk Management">q-fin.RM</span> <span class="tag is-small is-grey 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="Machine Learning">cs.LG</span> </div> </div> <p class="title is-5 mathjax"> Unveiling the Potential of Graph Neural Networks in SME Credit Risk Assessment </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/?searchtype=author&query=Liu%2C+B">Bingyao Liu</a>, <a href="/search/?searchtype=author&query=Li%2C+I">Iris Li</a>, <a href="/search/?searchtype=author&query=Yao%2C+J">Jianhua Yao</a>, <a href="/search/?searchtype=author&query=Chen%2C+Y">Yuan Chen</a>, <a href="/search/?searchtype=author&query=Huang%2C+G">Guanming Huang</a>, <a href="/search/?searchtype=author&query=Wang%2C+J">Jiajing Wang</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="2409.17909v1-abstract-short" style="display: inline;"> This paper takes the graph neural network as the technical framework, integrates the intrinsic connections between enterprise financial indicators, and proposes a model for enterprise credit risk assessment. The main research work includes: Firstly, based on the experience of predecessors, we selected 29 enterprise financial data indicators, abstracted each indicator as a vertex, deeply analyzed t… <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2409.17909v1-abstract-full').style.display = 'inline'; document.getElementById('2409.17909v1-abstract-short').style.display = 'none';">▽ More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2409.17909v1-abstract-full" style="display: none;"> This paper takes the graph neural network as the technical framework, integrates the intrinsic connections between enterprise financial indicators, and proposes a model for enterprise credit risk assessment. The main research work includes: Firstly, based on the experience of predecessors, we selected 29 enterprise financial data indicators, abstracted each indicator as a vertex, deeply analyzed the relationships between the indicators, constructed a similarity matrix of indicators, and used the maximum spanning tree algorithm to achieve the graph structure mapping of enterprises; secondly, in the representation learning phase of the mapped graph, a graph neural network model was built to obtain its embedded representation. The feature vector of each node was expanded to 32 dimensions, and three GraphSAGE operations were performed on the graph, with the results pooled using the Pool operation, and the final output of three feature vectors was averaged to obtain the graph's embedded representation; finally, a classifier was constructed using a two-layer fully connected network to complete the prediction task. Experimental results on real enterprise data show that the model proposed in this paper can well complete the multi-level credit level estimation of enterprises. Furthermore, the tree-structured graph mapping deeply portrays the intrinsic connections of various indicator data of the company, and according to the ROC and other evaluation criteria, the model's classification effect is significant and has good "robustness". <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2409.17909v1-abstract-full').style.display = 'none'; document.getElementById('2409.17909v1-abstract-short').style.display = 'inline';">△ Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 23 September, 2024; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> September 2024. </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2409.17868">arXiv:2409.17868</a> <span> [<a href="https://arxiv.org/pdf/2409.17868">pdf</a>, <a href="https://arxiv.org/format/2409.17868">other</a>] </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 Search for Light Dark Matter in the Neutrino Fog with XENONnT </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/?searchtype=author&query=Aprile%2C+E">E. Aprile</a>, <a href="/search/?searchtype=author&query=Aalbers%2C+J">J. Aalbers</a>, <a href="/search/?searchtype=author&query=Abe%2C+K">K. Abe</a>, <a href="/search/?searchtype=author&query=Maouloud%2C+S+A">S. Ahmed Maouloud</a>, <a href="/search/?searchtype=author&query=Althueser%2C+L">L. Althueser</a>, <a href="/search/?searchtype=author&query=Andrieu%2C+B">B. Andrieu</a>, <a href="/search/?searchtype=author&query=Angelino%2C+E">E. Angelino</a>, <a href="/search/?searchtype=author&query=Martin%2C+D+A">D. Ant贸n Martin</a>, <a href="/search/?searchtype=author&query=Arneodo%2C+F">F. Arneodo</a>, <a href="/search/?searchtype=author&query=Baudis%2C+L">L. Baudis</a>, <a href="/search/?searchtype=author&query=Bazyk%2C+M">M. Bazyk</a>, <a href="/search/?searchtype=author&query=Bellagamba%2C+L">L. Bellagamba</a>, <a href="/search/?searchtype=author&query=Biondi%2C+R">R. Biondi</a>, <a href="/search/?searchtype=author&query=Bismark%2C+A">A. Bismark</a>, <a href="/search/?searchtype=author&query=Boese%2C+K">K. Boese</a>, <a href="/search/?searchtype=author&query=Brown%2C+A">A. Brown</a>, <a href="/search/?searchtype=author&query=Bruno%2C+G">G. Bruno</a>, <a href="/search/?searchtype=author&query=Budnik%2C+R">R. Budnik</a>, <a href="/search/?searchtype=author&query=Cai%2C+C">C. Cai</a>, <a href="/search/?searchtype=author&query=Capelli%2C+C">C. Capelli</a>, <a href="/search/?searchtype=author&query=Cardoso%2C+J+M+R">J. M. R. Cardoso</a>, <a href="/search/?searchtype=author&query=Ch%C3%A1vez%2C+A+P+C">A. P. Cimental Ch谩vez</a>, <a href="/search/?searchtype=author&query=Colijn%2C+A+P">A. P. Colijn</a>, <a href="/search/?searchtype=author&query=Conrad%2C+J">J. Conrad</a>, <a href="/search/?searchtype=author&query=Cuenca-Garc%C3%ADa%2C+J+J">J. J. Cuenca-Garc铆a</a> , et al. (143 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="2409.17868v2-abstract-short" style="display: inline;"> We search for dark matter (DM) with a mass [3,12] $\mathrm{GeV} / c^2$ using an exposure of 3.51 $\mathrm{t} \times \mathrm{y}$ with the XENONnT experiment.We consider spin-independent DM-nucleon interactions mediated by a heavy or light mediator, spin-dependent DM-neutron interactions, momentum-dependent DM scattering, and mirror DM. Using a lowered energy threshold compared to the previous WIMP… <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2409.17868v2-abstract-full').style.display = 'inline'; document.getElementById('2409.17868v2-abstract-short').style.display = 'none';">▽ More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2409.17868v2-abstract-full" style="display: none;"> We search for dark matter (DM) with a mass [3,12] $\mathrm{GeV} / c^2$ using an exposure of 3.51 $\mathrm{t} \times \mathrm{y}$ with the XENONnT experiment.We consider spin-independent DM-nucleon interactions mediated by a heavy or light mediator, spin-dependent DM-neutron interactions, momentum-dependent DM scattering, and mirror DM. Using a lowered energy threshold compared to the previous WIMP search, a blind analysis of [0.5, 5.0] $\mathrm{keV}$ nuclear recoil events reveals no significant signal excess over the background. XENONnT excludes spin-independent DM-nucleon cross sections $>2.5 \times 10^{-45} \mathrm{~cm}^2$ at $90 \%$ confidence level for 6 $\mathrm{GeV} / c^2$ DM. In the considered mass range, the DM sensitivity approaches the 'neutrino fog', the limitation where neutrinos produce a signal that is indistinguishable from that of light DM-xenon nucleus scattering. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2409.17868v2-abstract-full').style.display = 'none'; document.getElementById('2409.17868v2-abstract-short').style.display = 'inline';">△ Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 4 February, 2025; <span class="has-text-black-bis has-text-weight-semibold">v1</span> submitted 26 September, 2024; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> September 2024. </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2409.14796">arXiv:2409.14796</a> <span> [<a href="https://arxiv.org/pdf/2409.14796">pdf</a>] </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="Artificial Intelligence">cs.AI</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Cryptography and Security">cs.CR</span> </div> </div> <p class="title is-5 mathjax"> Research on Dynamic Data Flow Anomaly Detection based on Machine Learning </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/?searchtype=author&query=Wang%2C+L">Liyang Wang</a>, <a href="/search/?searchtype=author&query=Cheng%2C+Y">Yu Cheng</a>, <a href="/search/?searchtype=author&query=Gong%2C+H">Hao Gong</a>, <a href="/search/?searchtype=author&query=Hu%2C+J">Jiacheng Hu</a>, <a href="/search/?searchtype=author&query=Tang%2C+X">Xirui Tang</a>, <a href="/search/?searchtype=author&query=Li%2C+I">Iris Li</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="2409.14796v1-abstract-short" style="display: inline;"> The sophistication and diversity of contemporary cyberattacks have rendered the use of proxies, gateways, firewalls, and encrypted tunnels as a standalone defensive strategy inadequate. Consequently, the proactive identification of data anomalies has emerged as a prominent area of research within the field of data security. The majority of extant studies concentrate on sample equilibrium data, wit… <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2409.14796v1-abstract-full').style.display = 'inline'; document.getElementById('2409.14796v1-abstract-short').style.display = 'none';">▽ More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2409.14796v1-abstract-full" style="display: none;"> The sophistication and diversity of contemporary cyberattacks have rendered the use of proxies, gateways, firewalls, and encrypted tunnels as a standalone defensive strategy inadequate. Consequently, the proactive identification of data anomalies has emerged as a prominent area of research within the field of data security. The majority of extant studies concentrate on sample equilibrium data, with the consequence that the detection effect is not optimal in the context of unbalanced data. In this study, the unsupervised learning method is employed to identify anomalies in dynamic data flows. Initially, multi-dimensional features are extracted from real-time data, and a clustering algorithm is utilised to analyse the patterns of the data. This enables the potential outliers to be automatically identified. By clustering similar data, the model is able to detect data behaviour that deviates significantly from normal traffic without the need for labelled data. The results of the experiments demonstrate that the proposed method exhibits high accuracy in the detection of anomalies across a range of scenarios. Notably, it demonstrates robust and adaptable performance, particularly in the context of unbalanced data. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2409.14796v1-abstract-full').style.display = 'none'; document.getElementById('2409.14796v1-abstract-short').style.display = 'inline';">△ Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 23 September, 2024; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> September 2024. </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2409.08778">arXiv:2409.08778</a> <span> [<a href="https://arxiv.org/pdf/2409.08778">pdf</a>, <a href="https://arxiv.org/format/2409.08778">other</a>] </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="Data Analysis, Statistics and Probability">physics.data-an</span> </div> </div> <p class="title is-5 mathjax"> XENONnT Analysis: Signal Reconstruction, Calibration and Event Selection </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/?searchtype=author&query=XENON+Collaboration"> XENON Collaboration</a>, <a href="/search/?searchtype=author&query=Aprile%2C+E">E. Aprile</a>, <a href="/search/?searchtype=author&query=Aalbers%2C+J">J. Aalbers</a>, <a href="/search/?searchtype=author&query=Abe%2C+K">K. Abe</a>, <a href="/search/?searchtype=author&query=Maouloud%2C+S+A">S. Ahmed Maouloud</a>, <a href="/search/?searchtype=author&query=Althueser%2C+L">L. Althueser</a>, <a href="/search/?searchtype=author&query=Andrieu%2C+B">B. Andrieu</a>, <a href="/search/?searchtype=author&query=Angelino%2C+E">E. Angelino</a>, <a href="/search/?searchtype=author&query=Angevaare%2C+J+R">J. R. Angevaare</a>, <a href="/search/?searchtype=author&query=Martin%2C+D+A">D. Ant贸n Martin</a>, <a href="/search/?searchtype=author&query=Arneodo%2C+F">F. Arneodo</a>, <a href="/search/?searchtype=author&query=Baudis%2C+L">L. Baudis</a>, <a href="/search/?searchtype=author&query=Bazyk%2C+M">M. Bazyk</a>, <a href="/search/?searchtype=author&query=Bellagamba%2C+L">L. Bellagamba</a>, <a href="/search/?searchtype=author&query=Biondi%2C+R">R. Biondi</a>, <a href="/search/?searchtype=author&query=Bismark%2C+A">A. Bismark</a>, <a href="/search/?searchtype=author&query=Boese%2C+K">K. Boese</a>, <a href="/search/?searchtype=author&query=Brown%2C+A">A. Brown</a>, <a href="/search/?searchtype=author&query=Bruno%2C+G">G. Bruno</a>, <a href="/search/?searchtype=author&query=Budnik%2C+R">R. Budnik</a>, <a href="/search/?searchtype=author&query=Cardoso%2C+J+M+R">J. M. R. Cardoso</a>, <a href="/search/?searchtype=author&query=Ch%C3%A1vez%2C+A+P+C">A. P. Cimental Ch谩vez</a>, <a href="/search/?searchtype=author&query=Colijn%2C+A+P">A. P. Colijn</a>, <a href="/search/?searchtype=author&query=Conrad%2C+J">J. Conrad</a>, <a href="/search/?searchtype=author&query=Cuenca-Garc%C3%ADa%2C+J+J">J. J. Cuenca-Garc铆a</a> , et al. (143 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="2409.08778v1-abstract-short" style="display: inline;"> The XENONnT experiment, located at the INFN Laboratori Nazionali del Gran Sasso, Italy, features a 5.9 tonne liquid xenon time projection chamber surrounded by an instrumented neutron veto, all of which is housed within a muon veto water tank. Due to extensive shielding and advanced purification to mitigate natural radioactivity, an exceptionally low background level of (15.8 $\pm$ 1.3) events/(to… <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2409.08778v1-abstract-full').style.display = 'inline'; document.getElementById('2409.08778v1-abstract-short').style.display = 'none';">▽ More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2409.08778v1-abstract-full" style="display: none;"> The XENONnT experiment, located at the INFN Laboratori Nazionali del Gran Sasso, Italy, features a 5.9 tonne liquid xenon time projection chamber surrounded by an instrumented neutron veto, all of which is housed within a muon veto water tank. Due to extensive shielding and advanced purification to mitigate natural radioactivity, an exceptionally low background level of (15.8 $\pm$ 1.3) events/(tonne$\cdot$year$\cdot$keV) in the (1, 30) keV region is reached in the inner part of the TPC. XENONnT is thus sensitive to a wide range of rare phenomena related to Dark Matter and Neutrino interactions, both within and beyond the Standard Model of particle physics, with a focus on the direct detection of Dark Matter in the form of weakly interacting massive particles (WIMPs). From May 2021 to December 2021, XENONnT accumulated data in rare-event search mode with a total exposure of one tonne $\cdot$ year. This paper provides a detailed description of the signal reconstruction methods, event selection procedure, and detector response calibration, as well as an overview of the detector performance in this time frame. This work establishes the foundational framework for the `blind analysis' methodology we are using when reporting XENONnT physics results. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2409.08778v1-abstract-full').style.display = 'none'; document.getElementById('2409.08778v1-abstract-short').style.display = 'inline';">△ Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 13 September, 2024; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> September 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">27 pages, 23 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/2409.04977">arXiv:2409.04977</a> <span> [<a href="https://arxiv.org/pdf/2409.04977">pdf</a>] </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="Artificial Intelligence">cs.AI</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"> Enhancing Convolutional Neural Networks with Higher-Order Numerical Difference Methods </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/?searchtype=author&query=Wang%2C+Q">Qi Wang</a>, <a href="/search/?searchtype=author&query=Gao%2C+Z">Zijun Gao</a>, <a href="/search/?searchtype=author&query=Sui%2C+M">Mingxiu Sui</a>, <a href="/search/?searchtype=author&query=Mei%2C+T">Taiyuan Mei</a>, <a href="/search/?searchtype=author&query=Cheng%2C+X">Xiaohan Cheng</a>, <a href="/search/?searchtype=author&query=Li%2C+I">Iris Li</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="2409.04977v1-abstract-short" style="display: inline;"> With the rise of deep learning technology in practical applications, Convolutional Neural Networks (CNNs) have been able to assist humans in solving many real-world problems. To enhance the performance of CNNs, numerous network architectures have been explored. Some of these architectures are designed based on the accumulated experience of researchers over time, while others are designed through n… <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2409.04977v1-abstract-full').style.display = 'inline'; document.getElementById('2409.04977v1-abstract-short').style.display = 'none';">▽ More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2409.04977v1-abstract-full" style="display: none;"> With the rise of deep learning technology in practical applications, Convolutional Neural Networks (CNNs) have been able to assist humans in solving many real-world problems. To enhance the performance of CNNs, numerous network architectures have been explored. Some of these architectures are designed based on the accumulated experience of researchers over time, while others are designed through neural architecture search methods. The improvements made to CNNs by the aforementioned methods are quite significant, but most of the improvement methods are limited in reality by model size and environmental constraints, making it difficult to fully realize the improved performance. In recent years, research has found that many CNN structures can be explained by the discretization of ordinary differential equations. This implies that we can design theoretically supported deep network structures using higher-order numerical difference methods. It should be noted that most of the previous CNN model structures are based on low-order numerical methods. Therefore, considering that the accuracy of linear multi-step numerical difference methods is higher than that of the forward Euler method, this paper proposes a stacking scheme based on the linear multi-step method. This scheme enhances the performance of ResNet without increasing the model size and compares it with the Runge-Kutta scheme. The experimental results show that the performance of the stacking scheme proposed in this paper is superior to existing stacking schemes (ResNet and HO-ResNet), and it has the capability to be extended to other types of neural networks. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2409.04977v1-abstract-full').style.display = 'none'; document.getElementById('2409.04977v1-abstract-short').style.display = 'inline';">△ Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 8 September, 2024; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> September 2024. </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2409.04707">arXiv:2409.04707</a> <span> [<a href="https://arxiv.org/pdf/2409.04707">pdf</a>] </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="Artificial Intelligence">cs.AI</span> </div> </div> <p class="title is-5 mathjax"> Enhancing Deep Learning with Optimized Gradient Descent: Bridging Numerical Methods and Neural Network Training </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/?searchtype=author&query=Ma%2C+Y">Yuhan Ma</a>, <a href="/search/?searchtype=author&query=Sun%2C+D">Dan Sun</a>, <a href="/search/?searchtype=author&query=Gao%2C+E">Erdi Gao</a>, <a href="/search/?searchtype=author&query=Sang%2C+N">Ningjing Sang</a>, <a href="/search/?searchtype=author&query=Li%2C+I">Iris Li</a>, <a href="/search/?searchtype=author&query=Huang%2C+G">Guanming Huang</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="2409.04707v1-abstract-short" style="display: inline;"> Optimization theory serves as a pivotal scientific instrument for achieving optimal system performance, with its origins in economic applications to identify the best investment strategies for maximizing benefits. Over the centuries, from the geometric inquiries of ancient Greece to the calculus contributions by Newton and Leibniz, optimization theory has significantly advanced. The persistent wor… <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2409.04707v1-abstract-full').style.display = 'inline'; document.getElementById('2409.04707v1-abstract-short').style.display = 'none';">▽ More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2409.04707v1-abstract-full" style="display: none;"> Optimization theory serves as a pivotal scientific instrument for achieving optimal system performance, with its origins in economic applications to identify the best investment strategies for maximizing benefits. Over the centuries, from the geometric inquiries of ancient Greece to the calculus contributions by Newton and Leibniz, optimization theory has significantly advanced. The persistent work of scientists like Lagrange, Cauchy, and von Neumann has fortified its progress. The modern era has seen an unprecedented expansion of optimization theory applications, particularly with the growth of computer science, enabling more sophisticated computational practices and widespread utilization across engineering, decision analysis, and operations research. This paper delves into the profound relationship between optimization theory and deep learning, highlighting the omnipresence of optimization problems in the latter. We explore the gradient descent algorithm and its variants, which are the cornerstone of optimizing neural networks. The chapter introduces an enhancement to the SGD optimizer, drawing inspiration from numerical optimization methods, aiming to enhance interpretability and accuracy. Our experiments on diverse deep learning tasks substantiate the improved algorithm's efficacy. The paper concludes by emphasizing the continuous development of optimization theory and its expanding role in solving intricate problems, enhancing computational capabilities, and informing better policy decisions. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2409.04707v1-abstract-full').style.display = 'none'; document.getElementById('2409.04707v1-abstract-short').style.display = 'inline';">△ Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 7 September, 2024; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> September 2024. </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2408.11151">arXiv:2408.11151</a> <span> [<a href="https://arxiv.org/pdf/2408.11151">pdf</a>, <a href="https://arxiv.org/format/2408.11151">other</a>] </span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="Astrophysics of Galaxies">astro-ph.GA</span> </div> </div> <p class="title is-5 mathjax"> The Cosmic Ultraviolet Baryon Survey (CUBS) IX: The enriched circumgalactic and intergalactic medium around star-forming field dwarf galaxies traced by O VI absorption </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/?searchtype=author&query=Mishra%2C+N">Nishant Mishra</a>, <a href="/search/?searchtype=author&query=Johnson%2C+S+D">Sean D. Johnson</a>, <a href="/search/?searchtype=author&query=Rudie%2C+G+C">Gwen C. Rudie</a>, <a href="/search/?searchtype=author&query=Chen%2C+H">Hsiao-Wen Chen</a>, <a href="/search/?searchtype=author&query=Schaye%2C+J">Joop Schaye</a>, <a href="/search/?searchtype=author&query=Qu%2C+Z">Zhijie Qu</a>, <a href="/search/?searchtype=author&query=Zahedy%2C+F+S">Fakhri S. Zahedy</a>, <a href="/search/?searchtype=author&query=Boettcher%2C+E+T">Erin T. Boettcher</a>, <a href="/search/?searchtype=author&query=Cantalupo%2C+S">Sebastiano Cantalupo</a>, <a href="/search/?searchtype=author&query=Chen%2C+M+C">Mandy C. Chen</a>, <a href="/search/?searchtype=author&query=Faucher-Gigu%C3%A8re%2C+C">Claude-Andr茅 Faucher-Gigu猫re</a>, <a href="/search/?searchtype=author&query=Greene%2C+J+E">Jenny E. Greene</a>, <a href="/search/?searchtype=author&query=Li%2C+J+I">Jennifer I-Hsiu Li</a>, <a href="/search/?searchtype=author&query=Liu%2C+Z+W">Zhuoqi Will Liu</a>, <a href="/search/?searchtype=author&query=Lopez%2C+S">Sebastian Lopez</a>, <a href="/search/?searchtype=author&query=Petitjean%2C+P">Patrick Petitjean</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="2408.11151v2-abstract-short" style="display: inline;"> The shallow potential wells of star-forming dwarf galaxies make their surrounding circumgalactic and intergalactic medium (CGM/IGM) sensitive laboratories for studying the inflows and outflows thought to regulate galaxy evolution. We present new absorption-line measurements in quasar sightlines probing within projected distances of $<300$ kpc from 91 star-forming field dwarf galaxies with a median… <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2408.11151v2-abstract-full').style.display = 'inline'; document.getElementById('2408.11151v2-abstract-short').style.display = 'none';">▽ More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2408.11151v2-abstract-full" style="display: none;"> The shallow potential wells of star-forming dwarf galaxies make their surrounding circumgalactic and intergalactic medium (CGM/IGM) sensitive laboratories for studying the inflows and outflows thought to regulate galaxy evolution. We present new absorption-line measurements in quasar sightlines probing within projected distances of $<300$ kpc from 91 star-forming field dwarf galaxies with a median stellar mass of $\log{M_\star/\rm{M_\odot}} \approx 8.3$ at $0.077 < z < 0.73$ from the Cosmic Ultraviolet Baryon Survey (CUBS). In this redshift range, the CUBS quasar spectra cover a suite of transitions including H I, low and intermediate metal ions (e.g., C II, Si II, C III, and Si III), and highly ionized O VI. This CUBS-Dwarfs survey enables constraints with samples 9$\times$ larger than past dwarf CGM/IGM studies with similar ionic coverage. We find that low and intermediate ionization metal absorption is rare around dwarf galaxies, consistent with previous surveys of local dwarfs. In contrast, highly ionized O VI is commonly observed in sightlines that pass within the virial radius of a dwarf, and O VI detection rates are non-negligible at projected distances of 1$-$2$\times$ the virial radius. Based on these measurements, we estimate that the O VI-bearing phase of the CGM/IGM accounts for a dominant share of the metal budget of dwarf galaxies. The absorption kinematics suggest that a relatively modest fraction of the O VI-bearing gas is formally unbound. Together, these results imply that low-mass systems at $z\lesssim 1$ effectively retain a substantial fraction of their metals within the nearby CGM and IGM. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2408.11151v2-abstract-full').style.display = 'none'; document.getElementById('2408.11151v2-abstract-short').style.display = 'inline';">△ Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 13 November, 2024; <span class="has-text-black-bis has-text-weight-semibold">v1</span> submitted 20 August, 2024; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> August 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">Accepted to ApJ. 18 pages, 6 figures, 2 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/2408.03503">arXiv:2408.03503</a> <span> [<a href="https://arxiv.org/pdf/2408.03503">pdf</a>, <a href="https://arxiv.org/format/2408.03503">other</a>] </span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link 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="Robotics">cs.RO</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/VIS55277.2024.00065">10.1109/VIS55277.2024.00065 <i class="fa fa-external-link" aria-hidden="true"></i></a></span> </div> </div> </div> <p class="title is-5 mathjax"> Opening the Black Box of 3D Reconstruction Error Analysis with VECTOR </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/?searchtype=author&query=Fygenson%2C+R">Racquel Fygenson</a>, <a href="/search/?searchtype=author&query=Jawad%2C+K">Kazi Jawad</a>, <a href="/search/?searchtype=author&query=Li%2C+I">Isabel Li</a>, <a href="/search/?searchtype=author&query=Ayoub%2C+F">Francois Ayoub</a>, <a href="/search/?searchtype=author&query=Deen%2C+R+G">Robert G. Deen</a>, <a href="/search/?searchtype=author&query=Davidoff%2C+S">Scott Davidoff</a>, <a href="/search/?searchtype=author&query=Moritz%2C+D">Dominik Moritz</a>, <a href="/search/?searchtype=author&query=Hess-Flores%2C+M">Mauricio Hess-Flores</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="2408.03503v1-abstract-short" style="display: inline;"> Reconstruction of 3D scenes from 2D images is a technical challenge that impacts domains from Earth and planetary sciences and space exploration to augmented and virtual reality. Typically, reconstruction algorithms first identify common features across images and then minimize reconstruction errors after estimating the shape of the terrain. This bundle adjustment (BA) step optimizes around a sing… <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2408.03503v1-abstract-full').style.display = 'inline'; document.getElementById('2408.03503v1-abstract-short').style.display = 'none';">▽ More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2408.03503v1-abstract-full" style="display: none;"> Reconstruction of 3D scenes from 2D images is a technical challenge that impacts domains from Earth and planetary sciences and space exploration to augmented and virtual reality. Typically, reconstruction algorithms first identify common features across images and then minimize reconstruction errors after estimating the shape of the terrain. This bundle adjustment (BA) step optimizes around a single, simplifying scalar value that obfuscates many possible causes of reconstruction errors (e.g., initial estimate of the position and orientation of the camera, lighting conditions, ease of feature detection in the terrain). Reconstruction errors can lead to inaccurate scientific inferences or endanger a spacecraft exploring a remote environment. To address this challenge, we present VECTOR, a visual analysis tool that improves error inspection for stereo reconstruction BA. VECTOR provides analysts with previously unavailable visibility into feature locations, camera pose, and computed 3D points. VECTOR was developed in partnership with the Perseverance Mars Rover and Ingenuity Mars Helicopter terrain reconstruction team at the NASA Jet Propulsion Laboratory. We report on how this tool was used to debug and improve terrain reconstruction for the Mars 2020 mission. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2408.03503v1-abstract-full').style.display = 'none'; document.getElementById('2408.03503v1-abstract-short').style.display = 'inline';">△ Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 6 August, 2024; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> August 2024. </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2408.02877">arXiv:2408.02877</a> <span> [<a href="https://arxiv.org/pdf/2408.02877">pdf</a>, <a href="https://arxiv.org/format/2408.02877">other</a>] </span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="Nuclear Experiment">nucl-ex</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Solar and Stellar Astrophysics">astro-ph.SR</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/10.1103/PhysRevLett.133.191002">10.1103/PhysRevLett.133.191002 <i class="fa fa-external-link" aria-hidden="true"></i></a></span> </div> </div> </div> <p class="title is-5 mathjax"> First Indication of Solar $^8$B Neutrinos via Coherent Elastic Neutrino-Nucleus Scattering with XENONnT </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/?searchtype=author&query=Aprile%2C+E">E. Aprile</a>, <a href="/search/?searchtype=author&query=Aalbers%2C+J">J. Aalbers</a>, <a href="/search/?searchtype=author&query=Abe%2C+K">K. Abe</a>, <a href="/search/?searchtype=author&query=Maouloud%2C+S+A">S. Ahmed Maouloud</a>, <a href="/search/?searchtype=author&query=Althueser%2C+L">L. Althueser</a>, <a href="/search/?searchtype=author&query=Andrieu%2C+B">B. Andrieu</a>, <a href="/search/?searchtype=author&query=Angelino%2C+E">E. Angelino</a>, <a href="/search/?searchtype=author&query=Martin%2C+D+A">D. Ant贸n Martin</a>, <a href="/search/?searchtype=author&query=Arneodo%2C+F">F. Arneodo</a>, <a href="/search/?searchtype=author&query=Baudis%2C+L">L. Baudis</a>, <a href="/search/?searchtype=author&query=Bazyk%2C+M">M. Bazyk</a>, <a href="/search/?searchtype=author&query=Bellagamba%2C+L">L. Bellagamba</a>, <a href="/search/?searchtype=author&query=Biondi%2C+R">R. Biondi</a>, <a href="/search/?searchtype=author&query=Bismark%2C+A">A. Bismark</a>, <a href="/search/?searchtype=author&query=Boese%2C+K">K. Boese</a>, <a href="/search/?searchtype=author&query=Brown%2C+A">A. Brown</a>, <a href="/search/?searchtype=author&query=Bruno%2C+G">G. Bruno</a>, <a href="/search/?searchtype=author&query=Budnik%2C+R">R. Budnik</a>, <a href="/search/?searchtype=author&query=Cai%2C+C">C. Cai</a>, <a href="/search/?searchtype=author&query=Capelli%2C+C">C. Capelli</a>, <a href="/search/?searchtype=author&query=Cardoso%2C+J+M+R">J. M. R. Cardoso</a>, <a href="/search/?searchtype=author&query=Ch%C3%A1vez%2C+A+P+C">A. P. Cimental Ch谩vez</a>, <a href="/search/?searchtype=author&query=Colijn%2C+A+P">A. P. Colijn</a>, <a href="/search/?searchtype=author&query=Conrad%2C+J">J. Conrad</a>, <a href="/search/?searchtype=author&query=Cuenca-Garc%C3%ADa%2C+J+J">J. J. Cuenca-Garc铆a</a> , et al. (142 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="2408.02877v2-abstract-short" style="display: inline;"> We present the first measurement of nuclear recoils from solar $^8$B neutrinos via coherent elastic neutrino-nucleus scattering with the XENONnT dark matter experiment. The central detector of XENONnT is a low-background, two-phase time projection chamber with a 5.9 t sensitive liquid xenon target. A blind analysis with an exposure of 3.51 t$\times$yr resulted in 37 observed events above 0.5 keV,… <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2408.02877v2-abstract-full').style.display = 'inline'; document.getElementById('2408.02877v2-abstract-short').style.display = 'none';">▽ More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2408.02877v2-abstract-full" style="display: none;"> We present the first measurement of nuclear recoils from solar $^8$B neutrinos via coherent elastic neutrino-nucleus scattering with the XENONnT dark matter experiment. The central detector of XENONnT is a low-background, two-phase time projection chamber with a 5.9 t sensitive liquid xenon target. A blind analysis with an exposure of 3.51 t$\times$yr resulted in 37 observed events above 0.5 keV, with ($26.4^{+1.4}_{-1.3}$) events expected from backgrounds. The background-only hypothesis is rejected with a statistical significance of 2.73 $蟽$. The measured $^8$B solar neutrino flux of $(4.7_{-2.3}^{+3.6})\times 10^6 \mathrm{cm}^{-2}\mathrm{s}^{-1}$ is consistent with results from the Sudbury Neutrino Observatory. The measured neutrino flux-weighted CE$谓$NS cross section on Xe of $(1.1^{+0.8}_{-0.5})\times10^{-39} \mathrm{cm}^2$ is consistent with the Standard Model prediction. This is the first direct measurement of nuclear recoils from solar neutrinos with a dark matter detector. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2408.02877v2-abstract-full').style.display = 'none'; document.getElementById('2408.02877v2-abstract-short').style.display = 'inline';">△ Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 23 November, 2024; <span class="has-text-black-bis has-text-weight-semibold">v1</span> submitted 5 August, 2024; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> August 2024. </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">Journal ref:</span> Phys. Rev. Lett. 133, 191002 (2024) </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2407.18224">arXiv:2407.18224</a> <span> [<a href="https://arxiv.org/pdf/2407.18224">pdf</a>, <a href="https://arxiv.org/format/2407.18224">other</a>] </span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="Mesoscale and Nanoscale Physics">cond-mat.mes-hall</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Strongly Correlated Electrons">cond-mat.str-el</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/s41586-024-08274-3">10.1038/s41586-024-08274-3 <i class="fa fa-external-link" aria-hidden="true"></i></a></span> </div> </div> </div> <p class="title is-5 mathjax"> Excitons in the Fractional Quantum Hall Effect </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/?searchtype=author&query=Zhang%2C+N+J">Naiyuan J. Zhang</a>, <a href="/search/?searchtype=author&query=Nguyen%2C+R+Q">Ron Q. Nguyen</a>, <a href="/search/?searchtype=author&query=Batra%2C+N">Navketan Batra</a>, <a href="/search/?searchtype=author&query=Liu%2C+X">Xiaoxue Liu</a>, <a href="/search/?searchtype=author&query=Watanabe%2C+K">Kenji Watanabe</a>, <a href="/search/?searchtype=author&query=Taniguchi%2C+T">Takashi Taniguchi</a>, <a href="/search/?searchtype=author&query=Feldman%2C+D+E">D. E. Feldman</a>, <a href="/search/?searchtype=author&query=Li%2C+J+I+A">J. I. A. Li</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="2407.18224v4-abstract-short" style="display: inline;"> Excitons, Coulomb-driven bound states of electrons and holes, are typically composed of integer charges. However, in bilayer systems influenced by charge fractionalization, a more exotic form of interlayer exciton can emerge, where pairing occurs between constituents that carry fractional charges. Despite numerous theoretical predictions for such fractional excitons, their experimental observation… <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2407.18224v4-abstract-full').style.display = 'inline'; document.getElementById('2407.18224v4-abstract-short').style.display = 'none';">▽ More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2407.18224v4-abstract-full" style="display: none;"> Excitons, Coulomb-driven bound states of electrons and holes, are typically composed of integer charges. However, in bilayer systems influenced by charge fractionalization, a more exotic form of interlayer exciton can emerge, where pairing occurs between constituents that carry fractional charges. Despite numerous theoretical predictions for such fractional excitons, their experimental observation has remained elusive. Here, we report transport signatures of excitonic pairing within fractional quantum Hall effect states. By probing the composition of these excitons and their impact on the underlying wavefunction, we uncover two novel quantum phases of matter. One of these orders can be viewed as the fractional counterpart of the exciton condensate at a total filling of one, while the other involves a more unusual type of exciton that obeys fermionic and anyonic quantum statistics, challenging the standard paradigm of bosonic excitons. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2407.18224v4-abstract-full').style.display = 'none'; document.getElementById('2407.18224v4-abstract-short').style.display = 'inline';">△ Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 20 September, 2024; <span class="has-text-black-bis has-text-weight-semibold">v1</span> submitted 25 July, 2024; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> July 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">9 pages for main text with 4 figures. In total of 24 pages and 15 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/2407.14621">arXiv:2407.14621</a> <span> [<a href="https://arxiv.org/pdf/2407.14621">pdf</a>, <a href="https://arxiv.org/format/2407.14621">other</a>] </span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="Astrophysics of Galaxies">astro-ph.GA</span> </div> </div> <p class="title is-5 mathjax"> Fast and Flexible Inference Framework for Continuum Reverberation Mapping using Simulation-based Inference with Deep Learning </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/?searchtype=author&query=Li%2C+J+I">Jennifer I-Hsiu Li</a>, <a href="/search/?searchtype=author&query=Johnson%2C+S+D">Sean D. Johnson</a>, <a href="/search/?searchtype=author&query=Avestruz%2C+C">Camille Avestruz</a>, <a href="/search/?searchtype=author&query=Jarugula%2C+S">Sreevani Jarugula</a>, <a href="/search/?searchtype=author&query=Shen%2C+Y">Yue Shen</a>, <a href="/search/?searchtype=author&query=Kesler%2C+E">Elise Kesler</a>, <a href="/search/?searchtype=author&query=Liu%2C+Z+W">Zhuoqi Will Liu</a>, <a href="/search/?searchtype=author&query=Mishra%2C+N">Nishant Mishra</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="2407.14621v1-abstract-short" style="display: inline;"> Continuum reverberation mapping (CRM) of active galactic nuclei (AGN) monitors multiwavelength variability signatures to constrain accretion disk structure and supermassive black hole (SMBH) properties. The upcoming Vera Rubin Observatory's Legacy Survey of Space and Time (LSST) will survey tens of millions of AGN over the next decade, with thousands of AGN monitored with almost daily cadence in t… <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2407.14621v1-abstract-full').style.display = 'inline'; document.getElementById('2407.14621v1-abstract-short').style.display = 'none';">▽ More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2407.14621v1-abstract-full" style="display: none;"> Continuum reverberation mapping (CRM) of active galactic nuclei (AGN) monitors multiwavelength variability signatures to constrain accretion disk structure and supermassive black hole (SMBH) properties. The upcoming Vera Rubin Observatory's Legacy Survey of Space and Time (LSST) will survey tens of millions of AGN over the next decade, with thousands of AGN monitored with almost daily cadence in the deep drilling fields. However, existing CRM methodologies often require long computation time and are not designed to handle such large amount of data. In this paper, we present a fast and flexible inference framework for CRM using simulation-based inference (SBI) with deep learning to estimate SMBH properties from AGN light curves. We use a long-short-term-memory (LSTM) summary network to reduce the high-dimensionality of the light curve data, and then use a neural density estimator to estimate the posterior of SMBH parameters. Using simulated light curves, we find SBI can produce more accurate SMBH parameter estimation with $10^3-10^5$ times speed up in inference efficiency compared to traditional methods. The SBI framework is particularly suitable for wide-field RM surveys as the light curves will have identical observing patterns, which can be incorporated into the SBI simulation. We explore the performance of our SBI model on light curves with irregular-sampled, realistic observing cadence and alternative variability characteristics to demonstrate the flexibility and limitation of the SBI framework. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2407.14621v1-abstract-full').style.display = 'none'; document.getElementById('2407.14621v1-abstract-short').style.display = 'inline';">△ Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 19 July, 2024; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> July 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">14 pages, 8 figures, submitted to ApJ. Comments welcome!</span> </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2407.10794">arXiv:2407.10794</a> <span> [<a href="https://arxiv.org/pdf/2407.10794">pdf</a>, <a href="https://arxiv.org/format/2407.10794">other</a>] </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> <p class="title is-5 mathjax"> Graphusion: Leveraging Large Language Models for Scientific Knowledge Graph Fusion and Construction in NLP Education </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/?searchtype=author&query=Yang%2C+R">Rui Yang</a>, <a href="/search/?searchtype=author&query=Yang%2C+B">Boming Yang</a>, <a href="/search/?searchtype=author&query=Ouyang%2C+S">Sixun Ouyang</a>, <a href="/search/?searchtype=author&query=She%2C+T">Tianwei She</a>, <a href="/search/?searchtype=author&query=Feng%2C+A">Aosong Feng</a>, <a href="/search/?searchtype=author&query=Jiang%2C+Y">Yuang Jiang</a>, <a href="/search/?searchtype=author&query=Lecue%2C+F">Freddy Lecue</a>, <a href="/search/?searchtype=author&query=Lu%2C+J">Jinghui Lu</a>, <a href="/search/?searchtype=author&query=Li%2C+I">Irene Li</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="2407.10794v1-abstract-short" style="display: inline;"> Knowledge graphs (KGs) are crucial in the field of artificial intelligence and are widely applied in downstream tasks, such as enhancing Question Answering (QA) systems. The construction of KGs typically requires significant effort from domain experts. Recently, Large Language Models (LLMs) have been used for knowledge graph construction (KGC), however, most existing approaches focus on a local pe… <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2407.10794v1-abstract-full').style.display = 'inline'; document.getElementById('2407.10794v1-abstract-short').style.display = 'none';">▽ More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2407.10794v1-abstract-full" style="display: none;"> Knowledge graphs (KGs) are crucial in the field of artificial intelligence and are widely applied in downstream tasks, such as enhancing Question Answering (QA) systems. The construction of KGs typically requires significant effort from domain experts. Recently, Large Language Models (LLMs) have been used for knowledge graph construction (KGC), however, most existing approaches focus on a local perspective, extracting knowledge triplets from individual sentences or documents. In this work, we introduce Graphusion, a zero-shot KGC framework from free text. The core fusion module provides a global view of triplets, incorporating entity merging, conflict resolution, and novel triplet discovery. We showcase how Graphusion could be applied to the natural language processing (NLP) domain and validate it in the educational scenario. Specifically, we introduce TutorQA, a new expert-verified benchmark for graph reasoning and QA, comprising six tasks and a total of 1,200 QA pairs. Our evaluation demonstrates that Graphusion surpasses supervised baselines by up to 10% in accuracy on link prediction. Additionally, it achieves average scores of 2.92 and 2.37 out of 3 in human evaluations for concept entity extraction and relation recognition, respectively. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2407.10794v1-abstract-full').style.display = 'none'; document.getElementById('2407.10794v1-abstract-short').style.display = 'inline';">△ Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 15 July, 2024; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> July 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">24 pages, 11 figures, 13 tables. arXiv admin note: substantial text overlap with arXiv:2402.14293</span> </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2407.01737">arXiv:2407.01737</a> <span> [<a href="https://arxiv.org/pdf/2407.01737">pdf</a>, <a href="https://arxiv.org/format/2407.01737">other</a>] </span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="Astrophysics of Galaxies">astro-ph.GA</span> </div> </div> <p class="title is-5 mathjax"> Understanding the Broad-line Region of Active Galactic Nuclei with Photoionization. I. the Moderate-Accretion Regime </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/?searchtype=author&query=Wu%2C+Q">Qiaoya Wu</a>, <a href="/search/?searchtype=author&query=Shen%2C+Y">Yue Shen</a>, <a href="/search/?searchtype=author&query=Guo%2C+H">Hengxiao Guo</a>, <a href="/search/?searchtype=author&query=Anderson%2C+S+F">Scott F. Anderson</a>, <a href="/search/?searchtype=author&query=Brandt%2C+W+N">W. N. Brandt</a>, <a href="/search/?searchtype=author&query=Grier%2C+C+J">Catherine J. Grier</a>, <a href="/search/?searchtype=author&query=Hall%2C+P+B">Patrick B. Hall</a>, <a href="/search/?searchtype=author&query=Ho%2C+L+C">Luis C. Ho</a>, <a href="/search/?searchtype=author&query=Homayouni%2C+Y">Yasaman Homayouni</a>, <a href="/search/?searchtype=author&query=Horne%2C+K">Keith Horne</a>, <a href="/search/?searchtype=author&query=Li%2C+J+I">Jennifer I-Hsiu Li</a>, <a href="/search/?searchtype=author&query=Schneider%2C+D+P">Donald P. Schneider</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="2407.01737v1-abstract-short" style="display: inline;"> Over three decades of reverberation mapping (RM) studies on local broad-line active galactic nuclei (AGNs) have measured reliable black-hole (BH) masses for $> 100$ AGNs. These RM measurements reveal a significant correlation between the Balmer broad-line region size and the AGN optical luminosity (the $R-L$ relation). Recent RM studies for AGN samples with more diverse BH accretion parameters (e.… <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2407.01737v1-abstract-full').style.display = 'inline'; document.getElementById('2407.01737v1-abstract-short').style.display = 'none';">▽ More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2407.01737v1-abstract-full" style="display: none;"> Over three decades of reverberation mapping (RM) studies on local broad-line active galactic nuclei (AGNs) have measured reliable black-hole (BH) masses for $> 100$ AGNs. These RM measurements reveal a significant correlation between the Balmer broad-line region size and the AGN optical luminosity (the $R-L$ relation). Recent RM studies for AGN samples with more diverse BH accretion parameters (e.g., mass and Eddington ratio) reveal a substantial intrinsic dispersion around the average $R-L$ relation, suggesting variations in the overall spectral energy distribution shape as functions of accretion parameters. Here we perform a detailed photoionization investigation of expected broad-line properties as functions of accretion parameters, using the latest models for the AGN continuum implemented in {\tt qsosed}. We compare theoretical predictions with observations of a sample of 67 $z\lesssim0.5$ reverberation-mapped AGNs with both rest-frame optical and UV spectra in the moderate-accretion regime (Eddington ratio $位_{\rm Edd}\equiv L/L_{\rm Edd}<0.5$). The UV/optical line strengths and their dependences on accretion parameters can be reasonably well reproduced by the locally-optimally-emitting cloud (LOC) photoionization models. We provide quantitative recipes that use optical/UV line flux ratios to infer the ionizing continuum, which is not directly observable. In addition, photoionization models with universal values of ionization parameter ($\log U_{\rm H}=-2$) and hydrogen density ($\log n({\rm H})=12$) can qualitatively reproduce the observed global $R-L$ relation for the current AGN sample. However, such models fail to reproduce the observed trend of decreasing BLR size with $L/L_{\rm Edd}$ at fixed optical luminosity, which may imply that the gas density increases with the accretion rate. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2407.01737v1-abstract-full').style.display = 'none'; document.getElementById('2407.01737v1-abstract-short').style.display = 'inline';">△ Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 1 July, 2024; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> July 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">23 pages, 15 figures. Submitted to ApJ. Comments welcome!</span> </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2406.13638">arXiv:2406.13638</a> <span> [<a href="https://arxiv.org/pdf/2406.13638">pdf</a>, <a href="https://arxiv.org/format/2406.13638">other</a>] </span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="Data Analysis, Statistics and Probability">physics.data-an</span> <span class="tag is-small is-grey 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 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"> XENONnT WIMP Search: Signal & Background Modeling and Statistical Inference </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/?searchtype=author&query=XENON+Collaboration"> XENON Collaboration</a>, <a href="/search/?searchtype=author&query=Aprile%2C+E">E. Aprile</a>, <a href="/search/?searchtype=author&query=Aalbers%2C+J">J. Aalbers</a>, <a href="/search/?searchtype=author&query=Abe%2C+K">K. Abe</a>, <a href="/search/?searchtype=author&query=Maouloud%2C+S+A">S. Ahmed Maouloud</a>, <a href="/search/?searchtype=author&query=Althueser%2C+L">L. Althueser</a>, <a href="/search/?searchtype=author&query=Andrieu%2C+B">B. Andrieu</a>, <a href="/search/?searchtype=author&query=Angelino%2C+E">E. Angelino</a>, <a href="/search/?searchtype=author&query=Martin%2C+D+A">D. Ant贸n Martin</a>, <a href="/search/?searchtype=author&query=Arneodo%2C+F">F. Arneodo</a>, <a href="/search/?searchtype=author&query=Baudis%2C+L">L. Baudis</a>, <a href="/search/?searchtype=author&query=Bazyk%2C+M">M. Bazyk</a>, <a href="/search/?searchtype=author&query=Bellagamba%2C+L">L. Bellagamba</a>, <a href="/search/?searchtype=author&query=Biondi%2C+R">R. Biondi</a>, <a href="/search/?searchtype=author&query=Bismark%2C+A">A. Bismark</a>, <a href="/search/?searchtype=author&query=Boese%2C+K">K. Boese</a>, <a href="/search/?searchtype=author&query=Brown%2C+A">A. Brown</a>, <a href="/search/?searchtype=author&query=Bruno%2C+G">G. Bruno</a>, <a href="/search/?searchtype=author&query=Budnik%2C+R">R. Budnik</a>, <a href="/search/?searchtype=author&query=Cardoso%2C+J+M+R">J. M. R. Cardoso</a>, <a href="/search/?searchtype=author&query=Ch%C3%A1vez%2C+A+P+C">A. P. Cimental Ch谩vez</a>, <a href="/search/?searchtype=author&query=Colijn%2C+A+P">A. P. Colijn</a>, <a href="/search/?searchtype=author&query=Conrad%2C+J">J. Conrad</a>, <a href="/search/?searchtype=author&query=Cuenca-Garc%C3%ADa%2C+J+J">J. J. Cuenca-Garc铆a</a>, <a href="/search/?searchtype=author&query=D%27Andrea%2C+V">V. D'Andrea</a> , et al. (139 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="2406.13638v1-abstract-short" style="display: inline;"> The XENONnT experiment searches for weakly-interacting massive particle (WIMP) dark matter scattering off a xenon nucleus. In particular, XENONnT uses a dual-phase time projection chamber with a 5.9-tonne liquid xenon target, detecting both scintillation and ionization signals to reconstruct the energy, position, and type of recoil. A blind search for nuclear recoil WIMPs with an exposure of 1.1 t… <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2406.13638v1-abstract-full').style.display = 'inline'; document.getElementById('2406.13638v1-abstract-short').style.display = 'none';">▽ More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2406.13638v1-abstract-full" style="display: none;"> The XENONnT experiment searches for weakly-interacting massive particle (WIMP) dark matter scattering off a xenon nucleus. In particular, XENONnT uses a dual-phase time projection chamber with a 5.9-tonne liquid xenon target, detecting both scintillation and ionization signals to reconstruct the energy, position, and type of recoil. A blind search for nuclear recoil WIMPs with an exposure of 1.1 tonne-years yielded no signal excess over background expectations, from which competitive exclusion limits were derived on WIMP-nucleon elastic scatter cross sections, for WIMP masses ranging from 6 GeV/$c^2$ up to the TeV/$c^2$ scale. This work details the modeling and statistical methods employed in this search. By means of calibration data, we model the detector response, which is then used to derive background and signal models. The construction and validation of these models is discussed, alongside additional purely data-driven backgrounds. We also describe the statistical inference framework, including the definition of the likelihood function and the construction of confidence intervals. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2406.13638v1-abstract-full').style.display = 'none'; document.getElementById('2406.13638v1-abstract-short').style.display = 'inline';">△ Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 19 June, 2024; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> June 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">20 pages, 10 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/2406.08837">arXiv:2406.08837</a> <span> [<a href="https://arxiv.org/pdf/2406.08837">pdf</a>] </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"> Research on Deep Learning Model of Feature Extraction Based on Convolutional Neural Network </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/?searchtype=author&query=Liu%2C+H">Houze Liu</a>, <a href="/search/?searchtype=author&query=Li%2C+I">Iris Li</a>, <a href="/search/?searchtype=author&query=Liang%2C+Y">Yaxin Liang</a>, <a href="/search/?searchtype=author&query=Sun%2C+D">Dan Sun</a>, <a href="/search/?searchtype=author&query=Yang%2C+Y">Yining Yang</a>, <a href="/search/?searchtype=author&query=Yang%2C+H">Haowei Yang</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="2406.08837v1-abstract-short" style="display: inline;"> Neural networks with relatively shallow layers and simple structures may have limited ability in accurately identifying pneumonia. In addition, deep neural networks also have a large demand for computing resources, which may cause convolutional neural networks to be unable to be implemented on terminals. Therefore, this paper will carry out the optimal classification of convolutional neural networ… <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2406.08837v1-abstract-full').style.display = 'inline'; document.getElementById('2406.08837v1-abstract-short').style.display = 'none';">▽ More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2406.08837v1-abstract-full" style="display: none;"> Neural networks with relatively shallow layers and simple structures may have limited ability in accurately identifying pneumonia. In addition, deep neural networks also have a large demand for computing resources, which may cause convolutional neural networks to be unable to be implemented on terminals. Therefore, this paper will carry out the optimal classification of convolutional neural networks. Firstly, according to the characteristics of pneumonia images, AlexNet and InceptionV3 were selected to obtain better image recognition results. Combining the features of medical images, the forward neural network with deeper and more complex structure is learned. Finally, knowledge extraction technology is used to extract the obtained data into the AlexNet model to achieve the purpose of improving computing efficiency and reducing computing costs. The results showed that the prediction accuracy, specificity, and sensitivity of the trained AlexNet model increased by 4.25 percentage points, 7.85 percentage points, and 2.32 percentage points, respectively. The graphics processing usage has decreased by 51% compared to the InceptionV3 mode. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2406.08837v1-abstract-full').style.display = 'none'; document.getElementById('2406.08837v1-abstract-short').style.display = 'inline';">△ Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 13 June, 2024; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> June 2024. </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2405.07675">arXiv:2405.07675</a> <span> [<a href="https://arxiv.org/pdf/2405.07675">pdf</a>] </span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="Materials Science">cond-mat.mtrl-sci</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Chemical Physics">physics.chem-ph</span> </div> </div> <p class="title is-5 mathjax"> Super-concentrated alkali hydroxide electrolytes for rechargeable Zn batteries </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/?searchtype=author&query=Ma%2C+Y">Yilin Ma</a>, <a href="/search/?searchtype=author&query=Huang%2C+J">Jiajia Huang</a>, <a href="/search/?searchtype=author&query=Gao%2C+S">Shengyong Gao</a>, <a href="/search/?searchtype=author&query=Li%2C+i">iangyu Li</a>, <a href="/search/?searchtype=author&query=Yi%2C+Z">Zhibin Yi</a>, <a href="/search/?searchtype=author&query=Xiao%2C+D">Diwen Xiao</a>, <a href="/search/?searchtype=author&query=Chan%2C+C+K+K">Cheuk Kai Kevin Chan</a>, <a href="/search/?searchtype=author&query=Pan%2C+D">Ding Pan</a>, <a href="/search/?searchtype=author&query=Chen%2C+Q">Qing Chen</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="2405.07675v1-abstract-short" style="display: inline;"> Rechargeable Zn batteries offer safe, inexpensive energy storage, but when deeply discharged to compete with lithium-ion batteries, they are plagued by parasitic reactions at the Zn anodes. We apply super-concentrated alkaline electrolytes to suppress two key parasitic reactions, hydrogen evolution and ZnO passivation. An electrolyte with 15 M KOH displays a broad electrochemical window (>2.5 V on… <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2405.07675v1-abstract-full').style.display = 'inline'; document.getElementById('2405.07675v1-abstract-short').style.display = 'none';">▽ More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2405.07675v1-abstract-full" style="display: none;"> Rechargeable Zn batteries offer safe, inexpensive energy storage, but when deeply discharged to compete with lithium-ion batteries, they are plagued by parasitic reactions at the Zn anodes. We apply super-concentrated alkaline electrolytes to suppress two key parasitic reactions, hydrogen evolution and ZnO passivation. An electrolyte with 15 M KOH displays a broad electrochemical window (>2.5 V on Au), a high ZnO solubility (>1.5 M), and an exceptionally high ionic conductivity (>0.27 S/cm at 25 C). Spectroscopies and ab-initio molecular dynamics simulation suggest K+-OH- pairs and a tightened water network to underpin the stability. The simulation further reveals unique triggered proton hopping that offsets the lack of water wires to sustain the conductivity. Low hydrogen evolution, confirmed via online mass spectroscopy, and slow passivation enable a NiOOH||Zn battery to deliver a cumulative capacity of 8.4 Ah cm-2 and a Zn-air battery to last for over 110 hours. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2405.07675v1-abstract-full').style.display = 'none'; document.getElementById('2405.07675v1-abstract-short').style.display = 'inline';">△ Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 13 May, 2024; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> May 2024. </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2404.00088">arXiv:2404.00088</a> <span> [<a href="https://arxiv.org/pdf/2404.00088">pdf</a>, <a href="https://arxiv.org/format/2404.00088">other</a>] </span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="Astrophysics of Galaxies">astro-ph.GA</span> </div> </div> <p class="title is-5 mathjax"> Discovery of optically emitting circumgalactic nebulae around the majority of UV-luminous quasars at intermediate redshift </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/?searchtype=author&query=Johnson%2C+S+D">Sean D. Johnson</a>, <a href="/search/?searchtype=author&query=Liu%2C+Z+W">Zhuoqi Will Liu</a>, <a href="/search/?searchtype=author&query=Li%2C+J+I">Jennifer I. Li</a>, <a href="/search/?searchtype=author&query=Schaye%2C+J">Joop Schaye</a>, <a href="/search/?searchtype=author&query=Greene%2C+J+E">Jenny E. Greene</a>, <a href="/search/?searchtype=author&query=Cantalupo%2C+S">Sebastiano Cantalupo</a>, <a href="/search/?searchtype=author&query=Rudie%2C+G+C">Gwen C. Rudie</a>, <a href="/search/?searchtype=author&query=Qu%2C+Z">Zhijie Qu</a>, <a href="/search/?searchtype=author&query=Chen%2C+H">Hsiao-Wen Chen</a>, <a href="/search/?searchtype=author&query=Rafelski%2C+M">Marc Rafelski</a>, <a href="/search/?searchtype=author&query=Muzahid%2C+S">Sowgat Muzahid</a>, <a href="/search/?searchtype=author&query=Chen%2C+M+C">Mandy C. Chen</a>, <a href="/search/?searchtype=author&query=Contini%2C+T">Thierry Contini</a>, <a href="/search/?searchtype=author&query=Kollatschny%2C+W">Wolfram Kollatschny</a>, <a href="/search/?searchtype=author&query=Mishra%2C+N">Nishant Mishra</a>, <a href="/search/?searchtype=author&query=Rauch%2C+M">Michael Rauch</a>, <a href="/search/?searchtype=author&query=Petitjean%2C+P">Patrick Petitjean</a>, <a href="/search/?searchtype=author&query=Zahedy%2C+F+S">Fakhri S. Zahedy</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="2404.00088v2-abstract-short" style="display: inline;"> We report the discovery of large ionized, [O II] emitting circumgalactic nebulae around the majority of thirty UV luminous quasars at $z=0.4-1.4$ observed with deep, wide-field integral field spectroscopy (IFS) with the Multi-Unit Spectroscopy Explorer (MUSE) by the Cosmic Ultraviolet Baryon Survey (CUBS) and MUSE Quasar Blind Emitters Survey (MUSEQuBES). Among the 30 quasars, seven (23%) exhibit… <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2404.00088v2-abstract-full').style.display = 'inline'; document.getElementById('2404.00088v2-abstract-short').style.display = 'none';">▽ More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2404.00088v2-abstract-full" style="display: none;"> We report the discovery of large ionized, [O II] emitting circumgalactic nebulae around the majority of thirty UV luminous quasars at $z=0.4-1.4$ observed with deep, wide-field integral field spectroscopy (IFS) with the Multi-Unit Spectroscopy Explorer (MUSE) by the Cosmic Ultraviolet Baryon Survey (CUBS) and MUSE Quasar Blind Emitters Survey (MUSEQuBES). Among the 30 quasars, seven (23%) exhibit [O II] emitting nebulae with major axis sizes greater than 100 kpc, twenty greater than 50 kpc (67%), and 27 (90%) greater than 20 kpc. Such large, optically emitting nebulae indicate that cool, dense, and metal-enriched circumgalactic gas is common in the halos of luminous quasars at intermediate redshift. Several of the largest nebulae exhibit morphologies that suggest interaction-related origins. We detect no correlation between the sizes and cosmological dimming corrected surface brightnesses of the nebulae and quasar redshift, luminosity, black hole mass, or radio-loudness, but find a tentative correlation between the nebulae and rest-frame [O II] equivalent width in the quasar spectra. This potential trend suggests a relationship between ISM content and gas reservoirs on CGM scales. The [O II]-emitting nebulae around the $z\approx1$ quasars are smaller and less common than Ly$伪$ nebulae around $z\approx3$ quasars. These smaller sizes can be explained if the outer regions of the Ly$伪$ halos arise from scattering in more neutral gas, by evolution in the cool CGM content of quasar host halos, by lower-than-expected metallicities on $\gtrsim50$ kpc scales around $z\approx1$ quasars, or by changes in quasar episodic lifetimes between $z=3$ and $1$. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2404.00088v2-abstract-full').style.display = 'none'; document.getElementById('2404.00088v2-abstract-short').style.display = 'inline';">△ Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 3 April, 2024; <span class="has-text-black-bis has-text-weight-semibold">v1</span> submitted 29 March, 2024; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> April 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">18 pages, 5 figures, 2 tables. Accepted for publication in the Astrophysical Journal</span> </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2403.14878">arXiv:2403.14878</a> <span> [<a href="https://arxiv.org/pdf/2403.14878">pdf</a>, <a href="https://arxiv.org/format/2403.14878">other</a>] </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 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.110.012011">10.1103/PhysRevD.110.012011 <i class="fa fa-external-link" aria-hidden="true"></i></a></span> </div> </div> </div> <p class="title is-5 mathjax"> Offline tagging of radon-induced backgrounds in XENON1T and applicability to other liquid xenon detectors </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/?searchtype=author&query=Aprile%2C+E">E. Aprile</a>, <a href="/search/?searchtype=author&query=Aalbers%2C+J">J. Aalbers</a>, <a href="/search/?searchtype=author&query=Abe%2C+K">K. Abe</a>, <a href="/search/?searchtype=author&query=Maouloud%2C+S+A">S. Ahmed Maouloud</a>, <a href="/search/?searchtype=author&query=Althueser%2C+L">L. Althueser</a>, <a href="/search/?searchtype=author&query=Andrieu%2C+B">B. Andrieu</a>, <a href="/search/?searchtype=author&query=Angelino%2C+E">E. Angelino</a>, <a href="/search/?searchtype=author&query=Angevaare%2C+J+R">J. R. Angevaare</a>, <a href="/search/?searchtype=author&query=Martin%2C+D+A">D. Ant贸n Martin</a>, <a href="/search/?searchtype=author&query=Arneodo%2C+F">F. Arneodo</a>, <a href="/search/?searchtype=author&query=Baudis%2C+L">L. Baudis</a>, <a href="/search/?searchtype=author&query=Baxter%2C+A+L">A. L. Baxter</a>, <a href="/search/?searchtype=author&query=Bazyk%2C+M">M. Bazyk</a>, <a href="/search/?searchtype=author&query=Bellagamba%2C+L">L. Bellagamba</a>, <a href="/search/?searchtype=author&query=Biondi%2C+R">R. Biondi</a>, <a href="/search/?searchtype=author&query=Bismark%2C+A">A. Bismark</a>, <a href="/search/?searchtype=author&query=Brookes%2C+E+J">E. J. Brookes</a>, <a href="/search/?searchtype=author&query=Brown%2C+A">A. Brown</a>, <a href="/search/?searchtype=author&query=Bruno%2C+G">G. Bruno</a>, <a href="/search/?searchtype=author&query=Budnik%2C+R">R. Budnik</a>, <a href="/search/?searchtype=author&query=Bui%2C+T+K">T. K. Bui</a>, <a href="/search/?searchtype=author&query=Cardoso%2C+J+M+R">J. M. R. Cardoso</a>, <a href="/search/?searchtype=author&query=Chavez%2C+A+P+C">A. P. Cimental Chavez</a>, <a href="/search/?searchtype=author&query=Colijn%2C+A+P">A. P. Colijn</a>, <a href="/search/?searchtype=author&query=Conrad%2C+J">J. Conrad</a> , et al. (142 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="2403.14878v2-abstract-short" style="display: inline;"> This paper details the first application of a software tagging algorithm to reduce radon-induced backgrounds in liquid noble element time projection chambers, such as XENON1T and XENONnT. The convection velocity field in XENON1T was mapped out using $^{222}\text{Rn}$ and $^{218}\text{Po}$ events, and the root-mean-square convection speed was measured to be $0.30 \pm 0.01$ cm/s. Given this velocity… <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2403.14878v2-abstract-full').style.display = 'inline'; document.getElementById('2403.14878v2-abstract-short').style.display = 'none';">▽ More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2403.14878v2-abstract-full" style="display: none;"> This paper details the first application of a software tagging algorithm to reduce radon-induced backgrounds in liquid noble element time projection chambers, such as XENON1T and XENONnT. The convection velocity field in XENON1T was mapped out using $^{222}\text{Rn}$ and $^{218}\text{Po}$ events, and the root-mean-square convection speed was measured to be $0.30 \pm 0.01$ cm/s. Given this velocity field, $^{214}\text{Pb}$ background events can be tagged when they are followed by $^{214}\text{Bi}$ and $^{214}\text{Po}$ decays, or preceded by $^{218}\text{Po}$ decays. This was achieved by evolving a point cloud in the direction of a measured convection velocity field, and searching for $^{214}\text{Bi}$ and $^{214}\text{Po}$ decays or $^{218}\text{Po}$ decays within a volume defined by the point cloud. In XENON1T, this tagging system achieved a $^{214}\text{Pb}$ background reduction of $6.2^{+0.4}_{-0.9}\%$ with an exposure loss of $1.8\pm 0.2 \%$, despite the timescales of convection being smaller than the relevant decay times. We show that the performance can be improved in XENONnT, and that the performance of such a software-tagging approach can be expected to be further improved in a diffusion-limited scenario. Finally, a similar method might be useful to tag the cosmogenic $^{137}\text{Xe}$ background, which is relevant to the search for neutrinoless double-beta decay. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2403.14878v2-abstract-full').style.display = 'none'; document.getElementById('2403.14878v2-abstract-short').style.display = 'inline';">△ Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 19 June, 2024; <span class="has-text-black-bis has-text-weight-semibold">v1</span> submitted 21 March, 2024; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> March 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">17 pages, 19 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 110 (2024) 012011 </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2403.05881">arXiv:2403.05881</a> <span> [<a href="https://arxiv.org/pdf/2403.05881">pdf</a>, <a href="https://arxiv.org/format/2403.05881">other</a>] </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> </div> </div> <p class="title is-5 mathjax"> KG-Rank: Enhancing Large Language Models for Medical QA with Knowledge Graphs and Ranking Techniques </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/?searchtype=author&query=Yang%2C+R">Rui Yang</a>, <a href="/search/?searchtype=author&query=Liu%2C+H">Haoran Liu</a>, <a href="/search/?searchtype=author&query=Marrese-Taylor%2C+E">Edison Marrese-Taylor</a>, <a href="/search/?searchtype=author&query=Zeng%2C+Q">Qingcheng Zeng</a>, <a href="/search/?searchtype=author&query=Ke%2C+Y+H">Yu He Ke</a>, <a href="/search/?searchtype=author&query=Li%2C+W">Wanxin Li</a>, <a href="/search/?searchtype=author&query=Cheng%2C+L">Lechao Cheng</a>, <a href="/search/?searchtype=author&query=Chen%2C+Q">Qingyu Chen</a>, <a href="/search/?searchtype=author&query=Caverlee%2C+J">James Caverlee</a>, <a href="/search/?searchtype=author&query=Matsuo%2C+Y">Yutaka Matsuo</a>, <a href="/search/?searchtype=author&query=Li%2C+I">Irene Li</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="2403.05881v3-abstract-short" style="display: inline;"> Large language models (LLMs) have demonstrated impressive generative capabilities with the potential to innovate in medicine. However, the application of LLMs in real clinical settings remains challenging due to the lack of factual consistency in the generated content. In this work, we develop an augmented LLM framework, KG-Rank, which leverages a medical knowledge graph (KG) along with ranking an… <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2403.05881v3-abstract-full').style.display = 'inline'; document.getElementById('2403.05881v3-abstract-short').style.display = 'none';">▽ More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2403.05881v3-abstract-full" style="display: none;"> Large language models (LLMs) have demonstrated impressive generative capabilities with the potential to innovate in medicine. However, the application of LLMs in real clinical settings remains challenging due to the lack of factual consistency in the generated content. In this work, we develop an augmented LLM framework, KG-Rank, which leverages a medical knowledge graph (KG) along with ranking and re-ranking techniques, to improve the factuality of long-form question answering (QA) in the medical domain. Specifically, when receiving a question, KG-Rank automatically identifies medical entities within the question and retrieves the related triples from the medical KG to gather factual information. Subsequently, KG-Rank innovatively applies multiple ranking techniques to refine the ordering of these triples, providing more relevant and precise information for LLM inference. To the best of our knowledge, KG-Rank is the first application of KG combined with ranking models in medical QA specifically for generating long answers. Evaluation on four selected medical QA datasets demonstrates that KG-Rank achieves an improvement of over 18% in ROUGE-L score. Additionally, we extend KG-Rank to open domains, including law, business, music, and history, where it realizes a 14% improvement in ROUGE-L score, indicating the effectiveness and great potential of KG-Rank. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2403.05881v3-abstract-full').style.display = 'none'; document.getElementById('2403.05881v3-abstract-short').style.display = 'inline';">△ Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 4 July, 2024; <span class="has-text-black-bis has-text-weight-semibold">v1</span> submitted 9 March, 2024; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> March 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, 9 figures, 8 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/2403.03983">arXiv:2403.03983</a> <span> [<a href="https://arxiv.org/pdf/2403.03983">pdf</a>, <a href="https://arxiv.org/format/2403.03983">other</a>] </span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="Astrophysics of Galaxies">astro-ph.GA</span> </div> </div> <p class="title is-5 mathjax"> The Cosmic Ultraviolet Baryon Survey (CUBS) VIII: Group Environment of the Most Luminous Quasars at $z\approx1$ </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/?searchtype=author&query=Li%2C+J+I">Jennifer I. Li</a>, <a href="/search/?searchtype=author&query=Johnson%2C+S+D">Sean D. Johnson</a>, <a href="/search/?searchtype=author&query=Boettcher%2C+E">Erin Boettcher</a>, <a href="/search/?searchtype=author&query=Cantalupo%2C+S">Sebastiano Cantalupo</a>, <a href="/search/?searchtype=author&query=Chen%2C+H">Hsiao-Wen Chen</a>, <a href="/search/?searchtype=author&query=Chen%2C+M+C">Mandy C. Chen</a>, <a href="/search/?searchtype=author&query=DePalma%2C+D+R">David R. DePalma</a>, <a href="/search/?searchtype=author&query=Zhuoqi"> Zhuoqi</a>, <a href="/search/?searchtype=author&query=Liu"> Liu</a>, <a href="/search/?searchtype=author&query=Mishra%2C+N">Nishant Mishra</a>, <a href="/search/?searchtype=author&query=Petitjean%2C+P">Patrick Petitjean</a>, <a href="/search/?searchtype=author&query=Qu%2C+Z">Zhijie Qu</a>, <a href="/search/?searchtype=author&query=Rudie%2C+G+C">Gwen C. Rudie</a>, <a href="/search/?searchtype=author&query=Schaye%2C+J">Joop Schaye</a>, <a href="/search/?searchtype=author&query=Zahedy%2C+F+S">Fakhri S. Zahedy</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="2403.03983v1-abstract-short" style="display: inline;"> We investigate the group-scale environment of 15 luminous quasars (luminosity $L_{\rm 3000}>10^{46}$ erg s$^{-1}$) from the Cosmic Ultraviolet Baryon Survey (CUBS) at redshift $z\approx1$. Using the Multi Unit Spectroscopic Explorer (MUSE) integral field spectrograph on the Very Large Telescope (VLT), we conduct a deep galaxy redshift survey in the CUBS quasar fields to identify group members and… <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2403.03983v1-abstract-full').style.display = 'inline'; document.getElementById('2403.03983v1-abstract-short').style.display = 'none';">▽ More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2403.03983v1-abstract-full" style="display: none;"> We investigate the group-scale environment of 15 luminous quasars (luminosity $L_{\rm 3000}>10^{46}$ erg s$^{-1}$) from the Cosmic Ultraviolet Baryon Survey (CUBS) at redshift $z\approx1$. Using the Multi Unit Spectroscopic Explorer (MUSE) integral field spectrograph on the Very Large Telescope (VLT), we conduct a deep galaxy redshift survey in the CUBS quasar fields to identify group members and measure the physical properties of individual galaxies and galaxy groups. We find that the CUBS quasars reside in diverse environments. The majority (11 out of 15) of the CUBS quasars reside in overdense environments with typical halo masses exceeding $10^{13}{\rm M}_{\odot}$, while the remaining quasars reside in moderate-size galaxy groups. No correlation is observed between overdensity and redshift, black hole (BH) mass, or luminosity. Radio-loud quasars (5 out of 15 CUBS quasars) are more likely to be in overdense environments than their radio-quiet counterparts in the sample, consistent with the mean trends from previous statistical observations and clustering analyses. Nonetheless, we also observe radio-loud quasars in moderate groups and radio-quiet quasars in overdense environments, indicating a large scatter in the connection between radio properties and environment. We find that the most UV luminous quasars might be outliers in the stellar mass-to-halo mass relations or may represent departures from the standard single-epoch BH relations. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2403.03983v1-abstract-full').style.display = 'none'; document.getElementById('2403.03983v1-abstract-short').style.display = 'inline';">△ Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 6 March, 2024; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> March 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">18 pages, 8 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/2402.17019">arXiv:2402.17019</a> <span> [<a href="https://arxiv.org/pdf/2402.17019">pdf</a>, <a href="https://arxiv.org/format/2402.17019">other</a>] </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="Human-Computer Interaction">cs.HC</span> </div> </div> <p class="title is-5 mathjax"> Leveraging Large Language Models for Learning Complex Legal Concepts through Storytelling </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/?searchtype=author&query=Jiang%2C+H">Hang Jiang</a>, <a href="/search/?searchtype=author&query=Zhang%2C+X">Xiajie Zhang</a>, <a href="/search/?searchtype=author&query=Mahari%2C+R">Robert Mahari</a>, <a href="/search/?searchtype=author&query=Kessler%2C+D">Daniel Kessler</a>, <a href="/search/?searchtype=author&query=Ma%2C+E">Eric Ma</a>, <a href="/search/?searchtype=author&query=August%2C+T">Tal August</a>, <a href="/search/?searchtype=author&query=Li%2C+I">Irene Li</a>, <a href="/search/?searchtype=author&query=Pentland%2C+A+%27">Alex 'Sandy' Pentland</a>, <a href="/search/?searchtype=author&query=Kim%2C+Y">Yoon Kim</a>, <a href="/search/?searchtype=author&query=Roy%2C+D">Deb Roy</a>, <a href="/search/?searchtype=author&query=Kabbara%2C+J">Jad Kabbara</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="2402.17019v4-abstract-short" style="display: inline;"> Making legal knowledge accessible to non-experts is crucial for enhancing general legal literacy and encouraging civic participation in democracy. However, legal documents are often challenging to understand for people without legal backgrounds. In this paper, we present a novel application of large language models (LLMs) in legal education to help non-experts learn intricate legal concepts throug… <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2402.17019v4-abstract-full').style.display = 'inline'; document.getElementById('2402.17019v4-abstract-short').style.display = 'none';">▽ More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2402.17019v4-abstract-full" style="display: none;"> Making legal knowledge accessible to non-experts is crucial for enhancing general legal literacy and encouraging civic participation in democracy. However, legal documents are often challenging to understand for people without legal backgrounds. In this paper, we present a novel application of large language models (LLMs) in legal education to help non-experts learn intricate legal concepts through storytelling, an effective pedagogical tool in conveying complex and abstract concepts. We also introduce a new dataset LegalStories, which consists of 294 complex legal doctrines, each accompanied by a story and a set of multiple-choice questions generated by LLMs. To construct the dataset, we experiment with various LLMs to generate legal stories explaining these concepts. Furthermore, we use an expert-in-the-loop approach to iteratively design multiple-choice questions. Then, we evaluate the effectiveness of storytelling with LLMs through randomized controlled trials (RCTs) with legal novices on 10 samples from the dataset. We find that LLM-generated stories enhance comprehension of legal concepts and interest in law among non-native speakers compared to only definitions. Moreover, stories consistently help participants relate legal concepts to their lives. Finally, we find that learning with stories shows a higher retention rate for non-native speakers in the follow-up assessment. Our work has strong implications for using LLMs in promoting teaching and learning in the legal field and beyond. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2402.17019v4-abstract-full').style.display = 'none'; document.getElementById('2402.17019v4-abstract-short').style.display = 'inline';">△ Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 2 July, 2024; <span class="has-text-black-bis has-text-weight-semibold">v1</span> submitted 26 February, 2024; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> February 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">Accepted to ACL 2024</span> </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2402.14293">arXiv:2402.14293</a> <span> [<a href="https://arxiv.org/pdf/2402.14293">pdf</a>, <a href="https://arxiv.org/format/2402.14293">other</a>] </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> </div> </div> <p class="title is-5 mathjax"> Leveraging Large Language Models for Concept Graph Recovery and Question Answering in NLP Education </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/?searchtype=author&query=Yang%2C+R">Rui Yang</a>, <a href="/search/?searchtype=author&query=Yang%2C+B">Boming Yang</a>, <a href="/search/?searchtype=author&query=Ouyang%2C+S">Sixun Ouyang</a>, <a href="/search/?searchtype=author&query=She%2C+T">Tianwei She</a>, <a href="/search/?searchtype=author&query=Feng%2C+A">Aosong Feng</a>, <a href="/search/?searchtype=author&query=Jiang%2C+Y">Yuang Jiang</a>, <a href="/search/?searchtype=author&query=Lecue%2C+F">Freddy Lecue</a>, <a href="/search/?searchtype=author&query=Lu%2C+J">Jinghui Lu</a>, <a href="/search/?searchtype=author&query=Li%2C+I">Irene Li</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="2402.14293v1-abstract-short" style="display: inline;"> In the domain of Natural Language Processing (NLP), Large Language Models (LLMs) have demonstrated promise in text-generation tasks. However, their educational applications, particularly for domain-specific queries, remain underexplored. This study investigates LLMs' capabilities in educational scenarios, focusing on concept graph recovery and question-answering (QA). We assess LLMs' zero-shot per… <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2402.14293v1-abstract-full').style.display = 'inline'; document.getElementById('2402.14293v1-abstract-short').style.display = 'none';">▽ More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2402.14293v1-abstract-full" style="display: none;"> In the domain of Natural Language Processing (NLP), Large Language Models (LLMs) have demonstrated promise in text-generation tasks. However, their educational applications, particularly for domain-specific queries, remain underexplored. This study investigates LLMs' capabilities in educational scenarios, focusing on concept graph recovery and question-answering (QA). We assess LLMs' zero-shot performance in creating domain-specific concept graphs and introduce TutorQA, a new expert-verified NLP-focused benchmark for scientific graph reasoning and QA. TutorQA consists of five tasks with 500 QA pairs. To tackle TutorQA queries, we present CGLLM, a pipeline integrating concept graphs with LLMs for answering diverse questions. Our results indicate that LLMs' zero-shot concept graph recovery is competitive with supervised methods, showing an average 3% F1 score improvement. In TutorQA tasks, LLMs achieve up to 26% F1 score enhancement. Moreover, human evaluation and analysis show that CGLLM generates answers with more fine-grained concepts. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2402.14293v1-abstract-full').style.display = 'none'; document.getElementById('2402.14293v1-abstract-short').style.display = 'inline';">△ Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 22 February, 2024; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> February 2024. </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2402.10446">arXiv:2402.10446</a> <span> [<a href="https://arxiv.org/pdf/2402.10446">pdf</a>, <a href="https://arxiv.org/format/2402.10446">other</a>] </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="Instrumentation and Methods for Astrophysics">astro-ph.IM</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 XENONnT Dark Matter Experiment </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/?searchtype=author&query=XENON+Collaboration"> XENON Collaboration</a>, <a href="/search/?searchtype=author&query=Aprile%2C+E">E. Aprile</a>, <a href="/search/?searchtype=author&query=Aalbers%2C+J">J. Aalbers</a>, <a href="/search/?searchtype=author&query=Abe%2C+K">K. Abe</a>, <a href="/search/?searchtype=author&query=Maouloud%2C+S+A">S. Ahmed Maouloud</a>, <a href="/search/?searchtype=author&query=Althueser%2C+L">L. Althueser</a>, <a href="/search/?searchtype=author&query=Andrieu%2C+B">B. Andrieu</a>, <a href="/search/?searchtype=author&query=Angelino%2C+E">E. Angelino</a>, <a href="/search/?searchtype=author&query=Angevaare%2C+J+R">J. R. Angevaare</a>, <a href="/search/?searchtype=author&query=Antochi%2C+V+C">V. C. Antochi</a>, <a href="/search/?searchtype=author&query=Martin%2C+D+A">D. Ant贸n Martin</a>, <a href="/search/?searchtype=author&query=Arneodo%2C+F">F. Arneodo</a>, <a href="/search/?searchtype=author&query=Balata%2C+M">M. Balata</a>, <a href="/search/?searchtype=author&query=Baudis%2C+L">L. Baudis</a>, <a href="/search/?searchtype=author&query=Baxter%2C+A+L">A. L. Baxter</a>, <a href="/search/?searchtype=author&query=Bazyk%2C+M">M. Bazyk</a>, <a href="/search/?searchtype=author&query=Bellagamba%2C+L">L. Bellagamba</a>, <a href="/search/?searchtype=author&query=Biondi%2C+R">R. Biondi</a>, <a href="/search/?searchtype=author&query=Bismark%2C+A">A. Bismark</a>, <a href="/search/?searchtype=author&query=Brookes%2C+E+J">E. J. Brookes</a>, <a href="/search/?searchtype=author&query=Brown%2C+A">A. Brown</a>, <a href="/search/?searchtype=author&query=Bruenner%2C+S">S. Bruenner</a>, <a href="/search/?searchtype=author&query=Bruno%2C+G">G. Bruno</a>, <a href="/search/?searchtype=author&query=Budnik%2C+R">R. Budnik</a>, <a href="/search/?searchtype=author&query=Bui%2C+T+K">T. K. Bui</a> , et al. (170 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="2402.10446v1-abstract-short" style="display: inline;"> The multi-staged XENON program at INFN Laboratori Nazionali del Gran Sasso aims to detect dark matter with two-phase liquid xenon time projection chambers of increasing size and sensitivity. The XENONnT experiment is the latest detector in the program, planned to be an upgrade of its predecessor XENON1T. It features an active target of 5.9 tonnes of cryogenic liquid xenon (8.5 tonnes total mass in… <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2402.10446v1-abstract-full').style.display = 'inline'; document.getElementById('2402.10446v1-abstract-short').style.display = 'none';">▽ More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2402.10446v1-abstract-full" style="display: none;"> The multi-staged XENON program at INFN Laboratori Nazionali del Gran Sasso aims to detect dark matter with two-phase liquid xenon time projection chambers of increasing size and sensitivity. The XENONnT experiment is the latest detector in the program, planned to be an upgrade of its predecessor XENON1T. It features an active target of 5.9 tonnes of cryogenic liquid xenon (8.5 tonnes total mass in cryostat). The experiment is expected to extend the sensitivity to WIMP dark matter by more than an order of magnitude compared to XENON1T, thanks to the larger active mass and the significantly reduced background, improved by novel systems such as a radon removal plant and a neutron veto. This article describes the XENONnT experiment and its sub-systems in detail and reports on the detector performance during the first science run. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2402.10446v1-abstract-full').style.display = 'none'; document.getElementById('2402.10446v1-abstract-short').style.display = 'inline';">△ Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 15 February, 2024; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> February 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">32 pages, 19 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/2402.08016">arXiv:2402.08016</a> <span> [<a href="https://arxiv.org/pdf/2402.08016">pdf</a>, <a href="https://arxiv.org/format/2402.08016">other</a>] </span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="Astrophysics of Galaxies">astro-ph.GA</span> </div> </div> <p class="title is-5 mathjax"> The Cosmic Ultraviolet Baryon Survey (CUBS) VII: on the warm-hot circumgalactic medium probed by O VI and Ne VIII at 0.4 $\lesssim$ z $\lesssim$ 0.7 </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/?searchtype=author&query=Qu%2C+Z">Zhijie Qu</a>, <a href="/search/?searchtype=author&query=Chen%2C+H">Hsiao-Wen Chen</a>, <a href="/search/?searchtype=author&query=Johnson%2C+S+D">Sean D. Johnson</a>, <a href="/search/?searchtype=author&query=Rudie%2C+G+C">Gwen C. Rudie</a>, <a href="/search/?searchtype=author&query=Zahedy%2C+F+S">Fakhri S. Zahedy</a>, <a href="/search/?searchtype=author&query=DePalma%2C+D">David DePalma</a>, <a href="/search/?searchtype=author&query=Schaye%2C+J">Joop Schaye</a>, <a href="/search/?searchtype=author&query=Boettcher%2C+E+T">Erin T. Boettcher</a>, <a href="/search/?searchtype=author&query=Cantalupo%2C+S">Sebastiano Cantalupo</a>, <a href="/search/?searchtype=author&query=Chen%2C+M+C">Mandy C. Chen</a>, <a href="/search/?searchtype=author&query=Faucher-Gigu%C3%A8re%2C+C">Claude-Andr茅 Faucher-Gigu猫re</a>, <a href="/search/?searchtype=author&query=Li%2C+J+I">Jennifer I-Hsiu Li</a>, <a href="/search/?searchtype=author&query=Mulchaey%2C+J+S">John S. Mulchaey</a>, <a href="/search/?searchtype=author&query=Petitjean%2C+P">Patrick Petitjean</a>, <a href="/search/?searchtype=author&query=Rafelski%2C+M">Marc Rafelski</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="2402.08016v2-abstract-short" style="display: inline;"> This paper presents a newly established sample of 103 unique galaxies or galaxy groups at $0.4\lesssim z\lesssim 0.7$ from the Cosmic Ultraviolet Baryon Survey (CUBS) for studying the warm-hot circumgalactic medium (CGM) probed by both O VI and Ne VIII absorption. The galaxies and associated neighbors are identified at $< 1$ physical Mpc from the sightlines toward 15 CUBS QSOs at… <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2402.08016v2-abstract-full').style.display = 'inline'; document.getElementById('2402.08016v2-abstract-short').style.display = 'none';">▽ More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2402.08016v2-abstract-full" style="display: none;"> This paper presents a newly established sample of 103 unique galaxies or galaxy groups at $0.4\lesssim z\lesssim 0.7$ from the Cosmic Ultraviolet Baryon Survey (CUBS) for studying the warm-hot circumgalactic medium (CGM) probed by both O VI and Ne VIII absorption. The galaxies and associated neighbors are identified at $< 1$ physical Mpc from the sightlines toward 15 CUBS QSOs at $z_{\rm QSO}\gtrsim 0.8$. A total of 30 galaxies or galaxy groups exhibit associated O VI $位位$ 1031, 1037 doublet absorption within a line-of-sight velocity interval of $\pm250$ km/s, while the rest show no trace of O VI to a detection limit of $\log N_{\rm OVI}/{\rm cm^{-2}}\approx13.7$. Meanwhile, only five galaxies or galaxy groups exhibit the Ne VIII $位位$ 770,780 doublet absorption, down to a limiting column density of $\log N_{\rm NeVIII}/{\rm cm^{-2}}\approx14.0$. These O VI- and Ne VIII-bearing halos reside in different galaxy environments with stellar masses ranging from $\log M_{\rm star}/M_\odot \approx 8$ to $\approx11.5$. The warm-hot CGM around galaxies of different stellar masses and star formation rates exhibits different spatial profiles and kinematics. In particular, star-forming galaxies with $\log M_{\rm star}/M_\odot\approx9-11$ show a significant concentration of metal-enriched warm-hot CGM within the virial radius, while massive quiescent galaxies exhibit flatter radial profiles of both column densities and covering fractions. In addition, the velocity dispersion of O VI absorption is broad with $蟽_v > 40$ km/s for galaxies of $\log M_{\rm star}/M_\odot>9$ within the virial radius, suggesting a more dynamic warm-hot halo around these galaxies. Finally, the warm-hot CGM probed by O VI and Ne VIII is suggested to be the dominant phase in sub-$L^*$ galaxies with $\log M_{\rm star}/M_\odot\approx9-10$ based on their high ionization fractions in the CGM. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2402.08016v2-abstract-full').style.display = 'none'; document.getElementById('2402.08016v2-abstract-short').style.display = 'inline';">△ Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 14 February, 2024; <span class="has-text-black-bis has-text-weight-semibold">v1</span> submitted 12 February, 2024; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> February 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">Submitted to ApJ after addressing the referee's comments; 28 pages, 16 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/2402.06052">arXiv:2402.06052</a> <span> [<a href="https://arxiv.org/pdf/2402.06052">pdf</a>, <a href="https://arxiv.org/format/2402.06052">other</a>] </span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="Astrophysics of Galaxies">astro-ph.GA</span> </div> </div> <p class="title is-5 mathjax"> High-quality Extragalactic Legacy-field Monitoring (HELM) with DECam </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/?searchtype=author&query=Zhuang%2C+M">Ming-Yang Zhuang</a>, <a href="/search/?searchtype=author&query=Yang%2C+Q">Qian Yang</a>, <a href="/search/?searchtype=author&query=Shen%2C+Y">Yue Shen</a>, <a href="/search/?searchtype=author&query=Adamow%2C+M">Monika Adamow</a>, <a href="/search/?searchtype=author&query=Friedel%2C+D+N">Douglas N. Friedel</a>, <a href="/search/?searchtype=author&query=Gruendl%2C+R+A">R. A. Gruendl</a>, <a href="/search/?searchtype=author&query=Liu%2C+X">Xin Liu</a>, <a href="/search/?searchtype=author&query=Martini%2C+P">Paul Martini</a>, <a href="/search/?searchtype=author&query=Abbott%2C+T+M+C">Timothy M. C. Abbott</a>, <a href="/search/?searchtype=author&query=Anderson%2C+S+F">Scott F. Anderson</a>, <a href="/search/?searchtype=author&query=Assef%2C+R+J">Roberto J. Assef</a>, <a href="/search/?searchtype=author&query=Bauer%2C+F+E">Franz E. Bauer</a>, <a href="/search/?searchtype=author&query=Bielby%2C+R">Rich Bielby</a>, <a href="/search/?searchtype=author&query=Brandt%2C+W+N">W. N. Brandt</a>, <a href="/search/?searchtype=author&query=Burke%2C+C+J">Colin J. Burke</a>, <a href="/search/?searchtype=author&query=Casares%2C+J">Jorge Casares</a>, <a href="/search/?searchtype=author&query=Chen%2C+Y">Yu-Ching Chen</a>, <a href="/search/?searchtype=author&query=De+Rosa%2C+G">Gisella De Rosa</a>, <a href="/search/?searchtype=author&query=Drlica-Wagner%2C+A">Alex Drlica-Wagner</a>, <a href="/search/?searchtype=author&query=Dwelly%2C+T">Tom Dwelly</a>, <a href="/search/?searchtype=author&query=Eltvedt%2C+A">Alice Eltvedt</a>, <a href="/search/?searchtype=author&query=Alvarez%2C+G+F">Gloria Fonseca Alvarez</a>, <a href="/search/?searchtype=author&query=Fu%2C+J">Jianyang Fu</a>, <a href="/search/?searchtype=author&query=Fuentes%2C+C">Cesar Fuentes</a>, <a href="/search/?searchtype=author&query=Graham%2C+M+L">Melissa L. Graham</a> , et al. (23 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="2402.06052v1-abstract-short" style="display: inline;"> High-quality Extragalactic Legacy-field Monitoring (HELM) is a long-term observing program that photometrically monitors several well-studied extragalactic legacy fields with the Dark Energy Camera (DECam) imager on the CTIO 4m Blanco telescope. Since Feb 2019, HELM has been monitoring regions within COSMOS, XMM-LSS, CDF-S, S-CVZ, ELAIS-S1, and SDSS Stripe 82 with few-day cadences in the… <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2402.06052v1-abstract-full').style.display = 'inline'; document.getElementById('2402.06052v1-abstract-short').style.display = 'none';">▽ More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2402.06052v1-abstract-full" style="display: none;"> High-quality Extragalactic Legacy-field Monitoring (HELM) is a long-term observing program that photometrically monitors several well-studied extragalactic legacy fields with the Dark Energy Camera (DECam) imager on the CTIO 4m Blanco telescope. Since Feb 2019, HELM has been monitoring regions within COSMOS, XMM-LSS, CDF-S, S-CVZ, ELAIS-S1, and SDSS Stripe 82 with few-day cadences in the $(u)gri(z)$ bands, over a collective sky area of $\sim 38$ deg${\rm ^2}$. The main science goal of HELM is to provide high-quality optical light curves for a large sample of active galactic nuclei (AGNs), and to build decades-long time baselines when combining past and future optical light curves in these legacy fields. These optical images and light curves will facilitate the measurements of AGN reverberation mapping lags, as well as studies of AGN variability and its dependences on accretion properties. In addition, the time-resolved and coadded DECam photometry will enable a broad range of science applications from galaxy evolution to time-domain science. We describe the design and implementation of the program and present the first data release that includes source catalogs and the first $\sim 3.5$ years of light curves during 2019A--2022A. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2402.06052v1-abstract-full').style.display = 'none'; document.getElementById('2402.06052v1-abstract-short').style.display = 'inline';">△ Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 8 February, 2024; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> February 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">11 pages, 8 figures, 4 tables, submitted to ApJS. Median source catalogs and light curves of individual objects are publicly available at https://ariel.astro.illinois.edu/helm/</span> </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2401.09972">arXiv:2401.09972</a> <span> [<a href="https://arxiv.org/pdf/2401.09972">pdf</a>, <a href="https://arxiv.org/format/2401.09972">other</a>] </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> </div> </div> <p class="title is-5 mathjax"> Better Explain Transformers by Illuminating Important Information </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/?searchtype=author&query=Song%2C+L">Linxin Song</a>, <a href="/search/?searchtype=author&query=Cui%2C+Y">Yan Cui</a>, <a href="/search/?searchtype=author&query=Luo%2C+A">Ao Luo</a>, <a href="/search/?searchtype=author&query=Lecue%2C+F">Freddy Lecue</a>, <a href="/search/?searchtype=author&query=Li%2C+I">Irene Li</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="2401.09972v3-abstract-short" style="display: inline;"> Transformer-based models excel in various natural language processing (NLP) tasks, attracting countless efforts to explain their inner workings. Prior methods explain Transformers by focusing on the raw gradient and attention as token attribution scores, where non-relevant information is often considered during explanation computation, resulting in confusing results. In this work, we propose highl… <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2401.09972v3-abstract-full').style.display = 'inline'; document.getElementById('2401.09972v3-abstract-short').style.display = 'none';">▽ More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2401.09972v3-abstract-full" style="display: none;"> Transformer-based models excel in various natural language processing (NLP) tasks, attracting countless efforts to explain their inner workings. Prior methods explain Transformers by focusing on the raw gradient and attention as token attribution scores, where non-relevant information is often considered during explanation computation, resulting in confusing results. In this work, we propose highlighting the important information and eliminating irrelevant information by a refined information flow on top of the layer-wise relevance propagation (LRP) method. Specifically, we consider identifying syntactic and positional heads as important attention heads and focus on the relevance obtained from these important heads. Experimental results demonstrate that irrelevant information does distort output attribution scores and then should be masked during explanation computation. Compared to eight baselines on both classification and question-answering datasets, our method consistently outperforms with over 3\% to 33\% improvement on explanation metrics, providing superior explanation performance. Our anonymous code repository is available at: https://github.com/LinxinS97/Mask-LRP <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2401.09972v3-abstract-full').style.display = 'none'; document.getElementById('2401.09972v3-abstract-short').style.display = 'inline';">△ Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 26 January, 2024; <span class="has-text-black-bis has-text-weight-semibold">v1</span> submitted 18 January, 2024; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> January 2024. </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2312.11805">arXiv:2312.11805</a> <span> [<a href="https://arxiv.org/pdf/2312.11805">pdf</a>, <a href="https://arxiv.org/format/2312.11805">other</a>] </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> <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"> Gemini: A Family of Highly Capable Multimodal Models </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/?searchtype=author&query=Gemini+Team"> Gemini Team</a>, <a href="/search/?searchtype=author&query=Anil%2C+R">Rohan Anil</a>, <a href="/search/?searchtype=author&query=Borgeaud%2C+S">Sebastian Borgeaud</a>, <a href="/search/?searchtype=author&query=Alayrac%2C+J">Jean-Baptiste Alayrac</a>, <a href="/search/?searchtype=author&query=Yu%2C+J">Jiahui Yu</a>, <a href="/search/?searchtype=author&query=Soricut%2C+R">Radu Soricut</a>, <a href="/search/?searchtype=author&query=Schalkwyk%2C+J">Johan Schalkwyk</a>, <a href="/search/?searchtype=author&query=Dai%2C+A+M">Andrew M. Dai</a>, <a href="/search/?searchtype=author&query=Hauth%2C+A">Anja Hauth</a>, <a href="/search/?searchtype=author&query=Millican%2C+K">Katie Millican</a>, <a href="/search/?searchtype=author&query=Silver%2C+D">David Silver</a>, <a href="/search/?searchtype=author&query=Johnson%2C+M">Melvin Johnson</a>, <a href="/search/?searchtype=author&query=Antonoglou%2C+I">Ioannis Antonoglou</a>, <a href="/search/?searchtype=author&query=Schrittwieser%2C+J">Julian Schrittwieser</a>, <a href="/search/?searchtype=author&query=Glaese%2C+A">Amelia Glaese</a>, <a href="/search/?searchtype=author&query=Chen%2C+J">Jilin Chen</a>, <a href="/search/?searchtype=author&query=Pitler%2C+E">Emily Pitler</a>, <a href="/search/?searchtype=author&query=Lillicrap%2C+T">Timothy Lillicrap</a>, <a href="/search/?searchtype=author&query=Lazaridou%2C+A">Angeliki Lazaridou</a>, <a href="/search/?searchtype=author&query=Firat%2C+O">Orhan Firat</a>, <a href="/search/?searchtype=author&query=Molloy%2C+J">James Molloy</a>, <a href="/search/?searchtype=author&query=Isard%2C+M">Michael Isard</a>, <a href="/search/?searchtype=author&query=Barham%2C+P+R">Paul R. Barham</a>, <a href="/search/?searchtype=author&query=Hennigan%2C+T">Tom Hennigan</a>, <a href="/search/?searchtype=author&query=Lee%2C+B">Benjamin Lee</a> , et al. (1325 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="2312.11805v4-abstract-short" style="display: inline;"> This report introduces a new family of multimodal models, Gemini, that exhibit remarkable capabilities across image, audio, video, and text understanding. The Gemini family consists of Ultra, Pro, and Nano sizes, suitable for applications ranging from complex reasoning tasks to on-device memory-constrained use-cases. Evaluation on a broad range of benchmarks shows that our most-capable Gemini Ultr… <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2312.11805v4-abstract-full').style.display = 'inline'; document.getElementById('2312.11805v4-abstract-short').style.display = 'none';">▽ More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2312.11805v4-abstract-full" style="display: none;"> This report introduces a new family of multimodal models, Gemini, that exhibit remarkable capabilities across image, audio, video, and text understanding. The Gemini family consists of Ultra, Pro, and Nano sizes, suitable for applications ranging from complex reasoning tasks to on-device memory-constrained use-cases. Evaluation on a broad range of benchmarks shows that our most-capable Gemini Ultra model advances the state of the art in 30 of 32 of these benchmarks - notably being the first model to achieve human-expert performance on the well-studied exam benchmark MMLU, and improving the state of the art in every one of the 20 multimodal benchmarks we examined. We believe that the new capabilities of the Gemini family in cross-modal reasoning and language understanding will enable a wide variety of use cases. We discuss our approach toward post-training and deploying Gemini models responsibly to users through services including Gemini, Gemini Advanced, Google AI Studio, and Cloud Vertex AI. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2312.11805v4-abstract-full').style.display = 'none'; document.getElementById('2312.11805v4-abstract-short').style.display = 'inline';">△ Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 17 June, 2024; <span class="has-text-black-bis has-text-weight-semibold">v1</span> submitted 18 December, 2023; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> December 2023. </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2312.10463">arXiv:2312.10463</a> <span> [<a href="https://arxiv.org/pdf/2312.10463">pdf</a>, <a href="https://arxiv.org/format/2312.10463">other</a>] </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 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/10.1145/3627673.3679987">10.1145/3627673.3679987 <i class="fa fa-external-link" aria-hidden="true"></i></a></span> </div> </div> </div> <p class="title is-5 mathjax"> RecPrompt: A Self-tuning Prompting Framework for News Recommendation Using Large Language Models </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/?searchtype=author&query=Liu%2C+D">Dairui Liu</a>, <a href="/search/?searchtype=author&query=Yang%2C+B">Boming Yang</a>, <a href="/search/?searchtype=author&query=Du%2C+H">Honghui Du</a>, <a href="/search/?searchtype=author&query=Greene%2C+D">Derek Greene</a>, <a href="/search/?searchtype=author&query=Hurley%2C+N">Neil Hurley</a>, <a href="/search/?searchtype=author&query=Lawlor%2C+A">Aonghus Lawlor</a>, <a href="/search/?searchtype=author&query=Dong%2C+R">Ruihai Dong</a>, <a href="/search/?searchtype=author&query=Li%2C+I">Irene Li</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="2312.10463v4-abstract-short" style="display: inline;"> News recommendations heavily rely on Natural Language Processing (NLP) methods to analyze, understand, and categorize content, enabling personalized suggestions based on user interests and reading behaviors. Large Language Models (LLMs) like GPT-4 have shown promising performance in understanding natural language. However, the extent of their applicability to news recommendation systems remains to… <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2312.10463v4-abstract-full').style.display = 'inline'; document.getElementById('2312.10463v4-abstract-short').style.display = 'none';">▽ More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2312.10463v4-abstract-full" style="display: none;"> News recommendations heavily rely on Natural Language Processing (NLP) methods to analyze, understand, and categorize content, enabling personalized suggestions based on user interests and reading behaviors. Large Language Models (LLMs) like GPT-4 have shown promising performance in understanding natural language. However, the extent of their applicability to news recommendation systems remains to be validated. This paper introduces RecPrompt, the first self-tuning prompting framework for news recommendation, leveraging the capabilities of LLMs to perform complex news recommendation tasks. This framework incorporates a news recommender and a prompt optimizer that applies an iterative bootstrapping process to enhance recommendations through automatic prompt engineering. Extensive experimental results with 400 users show that RecPrompt can achieve an improvement of 3.36% in AUC, 10.49% in MRR, 9.64% in nDCG@5, and 6.20% in nDCG@10 compared to deep neural models. Additionally, we introduce TopicScore, a novel metric to assess explainability by evaluating LLM's ability to summarize topics of interest for users. The results show LLM's effectiveness in accurately identifying topics of interest and delivering comprehensive topic-based explanations. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2312.10463v4-abstract-full').style.display = 'none'; document.getElementById('2312.10463v4-abstract-short').style.display = 'inline';">△ Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 22 October, 2024; <span class="has-text-black-bis has-text-weight-semibold">v1</span> submitted 16 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">5 pages, 2 figures, and 2 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/2311.16588">arXiv:2311.16588</a> <span> [<a href="https://arxiv.org/pdf/2311.16588">pdf</a>] </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> </div> </div> <p class="title is-5 mathjax"> Ascle: A Python Natural Language Processing Toolkit for Medical Text Generation </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/?searchtype=author&query=Yang%2C+R">Rui Yang</a>, <a href="/search/?searchtype=author&query=Zeng%2C+Q">Qingcheng Zeng</a>, <a href="/search/?searchtype=author&query=You%2C+K">Keen You</a>, <a href="/search/?searchtype=author&query=Qiao%2C+Y">Yujie Qiao</a>, <a href="/search/?searchtype=author&query=Huang%2C+L">Lucas Huang</a>, <a href="/search/?searchtype=author&query=Hsieh%2C+C">Chia-Chun Hsieh</a>, <a href="/search/?searchtype=author&query=Rosand%2C+B">Benjamin Rosand</a>, <a href="/search/?searchtype=author&query=Goldwasser%2C+J">Jeremy Goldwasser</a>, <a href="/search/?searchtype=author&query=Dave%2C+A+D">Amisha D Dave</a>, <a href="/search/?searchtype=author&query=Keenan%2C+T+D+L">Tiarnan D. L. Keenan</a>, <a href="/search/?searchtype=author&query=Chew%2C+E+Y">Emily Y Chew</a>, <a href="/search/?searchtype=author&query=Radev%2C+D">Dragomir Radev</a>, <a href="/search/?searchtype=author&query=Lu%2C+Z">Zhiyong Lu</a>, <a href="/search/?searchtype=author&query=Xu%2C+H">Hua Xu</a>, <a href="/search/?searchtype=author&query=Chen%2C+Q">Qingyu Chen</a>, <a href="/search/?searchtype=author&query=Li%2C+I">Irene Li</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="2311.16588v2-abstract-short" style="display: inline;"> This study introduces Ascle, a pioneering natural language processing (NLP) toolkit designed for medical text generation. Ascle is tailored for biomedical researchers and healthcare professionals with an easy-to-use, all-in-one solution that requires minimal programming expertise. For the first time, Ascle evaluates and provides interfaces for the latest pre-trained language models, encompassing f… <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2311.16588v2-abstract-full').style.display = 'inline'; document.getElementById('2311.16588v2-abstract-short').style.display = 'none';">▽ More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2311.16588v2-abstract-full" style="display: none;"> This study introduces Ascle, a pioneering natural language processing (NLP) toolkit designed for medical text generation. Ascle is tailored for biomedical researchers and healthcare professionals with an easy-to-use, all-in-one solution that requires minimal programming expertise. For the first time, Ascle evaluates and provides interfaces for the latest pre-trained language models, encompassing four advanced and challenging generative functions: question-answering, text summarization, text simplification, and machine translation. In addition, Ascle integrates 12 essential NLP functions, along with query and search capabilities for clinical databases. The toolkit, its models, and associated data are publicly available via https://github.com/Yale-LILY/MedGen. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2311.16588v2-abstract-full').style.display = 'none'; document.getElementById('2311.16588v2-abstract-short').style.display = 'inline';">△ Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 9 December, 2023; <span class="has-text-black-bis has-text-weight-semibold">v1</span> submitted 28 November, 2023; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> November 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">5 figures, 4 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/2311.04929">arXiv:2311.04929</a> <span> [<a href="https://arxiv.org/pdf/2311.04929">pdf</a>, <a href="https://arxiv.org/format/2311.04929">other</a>] </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> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Digital Libraries">cs.DL</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"> An Interdisciplinary Outlook on Large Language Models for Scientific Research </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/?searchtype=author&query=Boyko%2C+J">James Boyko</a>, <a href="/search/?searchtype=author&query=Cohen%2C+J">Joseph Cohen</a>, <a href="/search/?searchtype=author&query=Fox%2C+N">Nathan Fox</a>, <a href="/search/?searchtype=author&query=Veiga%2C+M+H">Maria Han Veiga</a>, <a href="/search/?searchtype=author&query=Li%2C+J+I">Jennifer I-Hsiu Li</a>, <a href="/search/?searchtype=author&query=Liu%2C+J">Jing Liu</a>, <a href="/search/?searchtype=author&query=Modenesi%2C+B">Bernardo Modenesi</a>, <a href="/search/?searchtype=author&query=Rauch%2C+A+H">Andreas H. Rauch</a>, <a href="/search/?searchtype=author&query=Reid%2C+K+N">Kenneth N. Reid</a>, <a href="/search/?searchtype=author&query=Tribedi%2C+S">Soumi Tribedi</a>, <a href="/search/?searchtype=author&query=Visheratina%2C+A">Anastasia Visheratina</a>, <a href="/search/?searchtype=author&query=Xie%2C+X">Xin Xie</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="2311.04929v1-abstract-short" style="display: inline;"> In this paper, we describe the capabilities and constraints of Large Language Models (LLMs) within disparate academic disciplines, aiming to delineate their strengths and limitations with precision. We examine how LLMs augment scientific inquiry, offering concrete examples such as accelerating literature review by summarizing vast numbers of publications, enhancing code development through automat… <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2311.04929v1-abstract-full').style.display = 'inline'; document.getElementById('2311.04929v1-abstract-short').style.display = 'none';">▽ More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2311.04929v1-abstract-full" style="display: none;"> In this paper, we describe the capabilities and constraints of Large Language Models (LLMs) within disparate academic disciplines, aiming to delineate their strengths and limitations with precision. We examine how LLMs augment scientific inquiry, offering concrete examples such as accelerating literature review by summarizing vast numbers of publications, enhancing code development through automated syntax correction, and refining the scientific writing process. Simultaneously, we articulate the challenges LLMs face, including their reliance on extensive and sometimes biased datasets, and the potential ethical dilemmas stemming from their use. Our critical discussion extends to the varying impacts of LLMs across fields, from the natural sciences, where they help model complex biological sequences, to the social sciences, where they can parse large-scale qualitative data. We conclude by offering a nuanced perspective on how LLMs can be both a boon and a boundary to scientific progress. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2311.04929v1-abstract-full').style.display = 'none'; document.getElementById('2311.04929v1-abstract-short').style.display = 'inline';">△ Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 3 November, 2023; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> November 2023. </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2310.18406">arXiv:2310.18406</a> <span> [<a href="https://arxiv.org/pdf/2310.18406">pdf</a>, <a href="https://arxiv.org/format/2310.18406">other</a>] </span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="Astrophysics of Galaxies">astro-ph.GA</span> </div> </div> <p class="title is-5 mathjax"> An ensemble study of turbulence in extended QSO nebulae at $z\approx0.5$--1 </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/?searchtype=author&query=Chen%2C+M+C">Mandy C. Chen</a>, <a href="/search/?searchtype=author&query=Chen%2C+H">Hsiao-Wen Chen</a>, <a href="/search/?searchtype=author&query=Rauch%2C+M">Michael Rauch</a>, <a href="/search/?searchtype=author&query=Qu%2C+Z">Zhijie Qu</a>, <a href="/search/?searchtype=author&query=Johnson%2C+S+D">Sean D. Johnson</a>, <a href="/search/?searchtype=author&query=Schaye%2C+J">Joop Schaye</a>, <a href="/search/?searchtype=author&query=Rudie%2C+G+C">Gwen C. Rudie</a>, <a href="/search/?searchtype=author&query=Li%2C+J+I">Jennifer I-Hsiu Li</a>, <a href="/search/?searchtype=author&query=Zhuoqi"> Zhuoqi</a>, <a href="/search/?searchtype=author&query=Liu"> Liu</a>, <a href="/search/?searchtype=author&query=Zahedy%2C+F+S">Fakhri S. Zahedy</a>, <a href="/search/?searchtype=author&query=Cantalupo%2C+S">Sebastiano Cantalupo</a>, <a href="/search/?searchtype=author&query=Boettcher%2C+E">Erin Boettcher</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="2310.18406v2-abstract-short" style="display: inline;"> Turbulent motions in the circumgalactic medium (CGM) play a critical role in regulating the evolution of galaxies, yet their detailed characterization remains elusive. Using two-dimensional velocity maps constructed from spatially-extended [OII] and [OIII] emission, Chen et al. (2023b) measured the velocity structure functions (VSFs) of four quasar nebulae at $z\approx\!0.5$--1.1. One of these exh… <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2310.18406v2-abstract-full').style.display = 'inline'; document.getElementById('2310.18406v2-abstract-short').style.display = 'none';">▽ More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2310.18406v2-abstract-full" style="display: none;"> Turbulent motions in the circumgalactic medium (CGM) play a critical role in regulating the evolution of galaxies, yet their detailed characterization remains elusive. Using two-dimensional velocity maps constructed from spatially-extended [OII] and [OIII] emission, Chen et al. (2023b) measured the velocity structure functions (VSFs) of four quasar nebulae at $z\approx\!0.5$--1.1. One of these exhibits a spectacular Kolmogorov relation. Here we carry out an ensemble study using an expanded sample incorporating four new nebulae from three additional QSO fields. The VSFs measured for all eight nebulae are best explained by subsonic turbulence revealed by the line-emitting gas, which in turn strongly suggests that the cool gas ($T\!\sim\!10^4$ K) is dynamically coupled to the hot ambient medium. Previous work demonstrates that the largest nebulae in our sample reside in group environments with clear signs of tidal interactions, suggesting that environmental effects are vital in seeding and enhancing turbulence within the gaseous halos, ultimately promoting the formation of the extended nebulae. No discernible differences are observed in the VSF properties between radio-loud and radio-quiet QSO fields. We estimate the turbulent heating rate per unit volume, $Q_{\rm turb}$, in the QSO nebulae to be $\sim 10^{-26}$--$10^{-22}$ erg cm$^{-3}$ s$^{-1}$ for the cool phase and $\sim 10^{-28}$--$10^{-25}$ erg cm$^{-3}$ s$^{-1}$ for the hot phase. This range aligns with measurements in the intracluster medium and star-forming molecular clouds but is $\sim10^3$ times higher than the $Q_{\rm turb}$ observed inside cool gas clumps on scales $\lesssim1$ kpc using absorption-line techniques. We discuss the prospect of bridging the gap between emission and absorption studies by pushing the emission-based VSF measurements to below $\approx\!10$ kpc. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2310.18406v2-abstract-full').style.display = 'none'; document.getElementById('2310.18406v2-abstract-short').style.display = 'inline';">△ Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 12 January, 2024; <span class="has-text-black-bis has-text-weight-semibold">v1</span> submitted 27 October, 2023; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> October 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">23 pages; 7 figures, and 4 tables in main text; 9 figures in Appendix; accepted by ApJ. Comments welcome</span> </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2310.02778">arXiv:2310.02778</a> <span> [<a href="https://arxiv.org/pdf/2310.02778">pdf</a>, <a href="https://arxiv.org/format/2310.02778">other</a>] </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> <p class="title is-5 mathjax"> Integrating UMLS Knowledge into Large Language Models for Medical Question Answering </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/?searchtype=author&query=Yang%2C+R">Rui Yang</a>, <a href="/search/?searchtype=author&query=Marrese-Taylor%2C+E">Edison Marrese-Taylor</a>, <a href="/search/?searchtype=author&query=Ke%2C+Y">Yuhe Ke</a>, <a href="/search/?searchtype=author&query=Cheng%2C+L">Lechao Cheng</a>, <a href="/search/?searchtype=author&query=Chen%2C+Q">Qingyu Chen</a>, <a href="/search/?searchtype=author&query=Li%2C+I">Irene Li</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="2310.02778v2-abstract-short" style="display: inline;"> Large language models (LLMs) have demonstrated powerful text generation capabilities, bringing unprecedented innovation to the healthcare field. While LLMs hold immense promise for applications in healthcare, applying them to real clinical scenarios presents significant challenges, as these models may generate content that deviates from established medical facts and even exhibit potential biases.… <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2310.02778v2-abstract-full').style.display = 'inline'; document.getElementById('2310.02778v2-abstract-short').style.display = 'none';">▽ More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2310.02778v2-abstract-full" style="display: none;"> Large language models (LLMs) have demonstrated powerful text generation capabilities, bringing unprecedented innovation to the healthcare field. While LLMs hold immense promise for applications in healthcare, applying them to real clinical scenarios presents significant challenges, as these models may generate content that deviates from established medical facts and even exhibit potential biases. In our research, we develop an augmented LLM framework based on the Unified Medical Language System (UMLS), aiming to better serve the healthcare community. We employ LLaMa2-13b-chat and ChatGPT-3.5 as our benchmark models, and conduct automatic evaluations using the ROUGE Score and BERTScore on 104 questions from the LiveQA test set. Additionally, we establish criteria for physician-evaluation based on four dimensions: Factuality, Completeness, Readability and Relevancy. ChatGPT-3.5 is used for physician evaluation with 20 questions on the LiveQA test set. Multiple resident physicians conducted blind reviews to evaluate the generated content, and the results indicate that this framework effectively enhances the factuality, completeness, and relevance of generated content. Our research demonstrates the effectiveness of using UMLS-augmented LLMs and highlights the potential application value of LLMs in in medical question-answering. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2310.02778v2-abstract-full').style.display = 'none'; document.getElementById('2310.02778v2-abstract-short').style.display = 'inline';">△ Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 13 October, 2023; <span class="has-text-black-bis has-text-weight-semibold">v1</span> submitted 4 October, 2023; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> October 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">12 pages, 3 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/2309.15630">arXiv:2309.15630</a> <span> [<a href="https://arxiv.org/pdf/2309.15630">pdf</a>, <a href="https://arxiv.org/format/2309.15630">other</a>] </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> </div> </div> <p class="title is-5 mathjax"> NLPBench: Evaluating Large Language Models on Solving NLP Problems </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/?searchtype=author&query=Song%2C+L">Linxin Song</a>, <a href="/search/?searchtype=author&query=Zhang%2C+J">Jieyu Zhang</a>, <a href="/search/?searchtype=author&query=Cheng%2C+L">Lechao Cheng</a>, <a href="/search/?searchtype=author&query=Zhou%2C+P">Pengyuan Zhou</a>, <a href="/search/?searchtype=author&query=Zhou%2C+T">Tianyi Zhou</a>, <a href="/search/?searchtype=author&query=Li%2C+I">Irene Li</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="2309.15630v4-abstract-short" style="display: inline;"> Recent developments in large language models (LLMs) have shown promise in enhancing the capabilities of natural language processing (NLP). Despite these successes, there remains a dearth of research dedicated to the NLP problem-solving abilities of LLMs. To fill the gap in this area, we present a unique benchmarking dataset, NLPBench, comprising 378 college-level NLP questions spanning various NLP… <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2309.15630v4-abstract-full').style.display = 'inline'; document.getElementById('2309.15630v4-abstract-short').style.display = 'none';">▽ More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2309.15630v4-abstract-full" style="display: none;"> Recent developments in large language models (LLMs) have shown promise in enhancing the capabilities of natural language processing (NLP). Despite these successes, there remains a dearth of research dedicated to the NLP problem-solving abilities of LLMs. To fill the gap in this area, we present a unique benchmarking dataset, NLPBench, comprising 378 college-level NLP questions spanning various NLP topics sourced from Yale University's prior final exams. NLPBench includes questions with context, in which multiple sub-questions share the same public information, and diverse question types, including multiple choice, short answer, and math. Our evaluation, centered on LLMs such as GPT-3.5/4, PaLM-2, and LLAMA-2, incorporates advanced prompting strategies like the chain-of-thought (CoT) and tree-of-thought (ToT). Our study reveals that the effectiveness of the advanced prompting strategies can be inconsistent, occasionally damaging LLM performance, especially in smaller models like the LLAMA-2 (13b). Furthermore, our manual assessment illuminated specific shortcomings in LLMs' scientific problem-solving skills, with weaknesses in logical decomposition and reasoning notably affecting results. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2309.15630v4-abstract-full').style.display = 'none'; document.getElementById('2309.15630v4-abstract-short').style.display = 'inline';">△ Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 19 October, 2023; <span class="has-text-black-bis has-text-weight-semibold">v1</span> submitted 27 September, 2023; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> September 2023. </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2309.11996">arXiv:2309.11996</a> <span> [<a href="https://arxiv.org/pdf/2309.11996">pdf</a>, <a href="https://arxiv.org/format/2309.11996">other</a>] </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 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/s10052-023-12296-y">10.1140/epjc/s10052-023-12296-y <i class="fa fa-external-link" aria-hidden="true"></i></a></span> </div> </div> </div> <p class="title is-5 mathjax"> Design and performance of the field cage for the XENONnT experiment </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/?searchtype=author&query=Aprile%2C+E">E. Aprile</a>, <a href="/search/?searchtype=author&query=Abe%2C+K">K. Abe</a>, <a href="/search/?searchtype=author&query=Maouloud%2C+S+A">S. Ahmed Maouloud</a>, <a href="/search/?searchtype=author&query=Althueser%2C+L">L. Althueser</a>, <a href="/search/?searchtype=author&query=Andrieu%2C+B">B. Andrieu</a>, <a href="/search/?searchtype=author&query=Angelino%2C+E">E. Angelino</a>, <a href="/search/?searchtype=author&query=Angevaare%2C+J+R">J. R. Angevaare</a>, <a href="/search/?searchtype=author&query=Antochi%2C+V+C">V. C. Antochi</a>, <a href="/search/?searchtype=author&query=Martin%2C+D+A">D. Ant贸n Martin</a>, <a href="/search/?searchtype=author&query=Arneodo%2C+F">F. Arneodo</a>, <a href="/search/?searchtype=author&query=Baudis%2C+L">L. Baudis</a>, <a href="/search/?searchtype=author&query=Baxter%2C+A+L">A. L. Baxter</a>, <a href="/search/?searchtype=author&query=Bazyk%2C+M">M. Bazyk</a>, <a href="/search/?searchtype=author&query=Bellagamba%2C+L">L. Bellagamba</a>, <a href="/search/?searchtype=author&query=Biondi%2C+R">R. Biondi</a>, <a href="/search/?searchtype=author&query=Bismark%2C+A">A. Bismark</a>, <a href="/search/?searchtype=author&query=Brookes%2C+E+J">E. J. Brookes</a>, <a href="/search/?searchtype=author&query=Brown%2C+A">A. Brown</a>, <a href="/search/?searchtype=author&query=Bruenner%2C+S">S. Bruenner</a>, <a href="/search/?searchtype=author&query=Bruno%2C+G">G. Bruno</a>, <a href="/search/?searchtype=author&query=Budnik%2C+R">R. Budnik</a>, <a href="/search/?searchtype=author&query=Bui%2C+T+K">T. K. Bui</a>, <a href="/search/?searchtype=author&query=Cai%2C+C">C. Cai</a>, <a href="/search/?searchtype=author&query=Cardoso%2C+J+M+R">J. M. R. Cardoso</a>, <a href="/search/?searchtype=author&query=Cichon%2C+D">D. Cichon</a> , et al. (139 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="2309.11996v1-abstract-short" style="display: inline;"> The precision in reconstructing events detected in a dual-phase time projection chamber depends on an homogeneous and well understood electric field within the liquid target. In the XENONnT TPC the field homogeneity is achieved through a double-array field cage, consisting of two nested arrays of field shaping rings connected by an easily accessible resistor chain. Rather than being connected to t… <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2309.11996v1-abstract-full').style.display = 'inline'; document.getElementById('2309.11996v1-abstract-short').style.display = 'none';">▽ More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2309.11996v1-abstract-full" style="display: none;"> The precision in reconstructing events detected in a dual-phase time projection chamber depends on an homogeneous and well understood electric field within the liquid target. In the XENONnT TPC the field homogeneity is achieved through a double-array field cage, consisting of two nested arrays of field shaping rings connected by an easily accessible resistor chain. Rather than being connected to the gate electrode, the topmost field shaping ring is independently biased, adding a degree of freedom to tune the electric field during operation. Two-dimensional finite element simulations were used to optimize the field cage, as well as its operation. Simulation results were compared to ${}^{83m}\mathrm{Kr}$ calibration data. This comparison indicates an accumulation of charge on the panels of the TPC which is constant over time, as no evolution of the reconstructed position distribution of events is observed. The simulated electric field was then used to correct the charge signal for the field dependence of the charge yield. This correction resolves the inconsistent measurement of the drift electron lifetime when using different calibrations sources and different field cage tuning voltages. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2309.11996v1-abstract-full').style.display = 'none'; document.getElementById('2309.11996v1-abstract-short').style.display = 'inline';">△ Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 21 September, 2023; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> September 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 84, 138 (2024) </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2309.00053">arXiv:2309.00053</a> <span> [<a href="https://arxiv.org/pdf/2309.00053">pdf</a>, <a href="https://arxiv.org/format/2309.00053">other</a>] </span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="Astrophysics of Galaxies">astro-ph.GA</span> </div> </div> <p class="title is-5 mathjax"> The first comprehensive study of a giant nebula around a radio-quiet quasar in the $z < 1$ Universe </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/?searchtype=author&query=Liu%2C+Z+W">Zhuoqi Will Liu</a>, <a href="/search/?searchtype=author&query=Johnson%2C+S+D">Sean D. Johnson</a>, <a href="/search/?searchtype=author&query=Li%2C+J+I">Jennifer I-Hsiu Li</a>, <a href="/search/?searchtype=author&query=Rudie%2C+G+C">Gwen C. Rudie</a>, <a href="/search/?searchtype=author&query=Schaye%2C+J">Joop Schaye</a>, <a href="/search/?searchtype=author&query=Chen%2C+H">Hsiao-Wen Chen</a>, <a href="/search/?searchtype=author&query=Brinchmann%2C+J">Jarle Brinchmann</a>, <a href="/search/?searchtype=author&query=Cantalupo%2C+S">Sebastiano Cantalupo</a>, <a href="/search/?searchtype=author&query=Chen%2C+M+C">Mandy C. Chen</a>, <a href="/search/?searchtype=author&query=Kollatschny%2C+W">Wolfram Kollatschny</a>, <a href="/search/?searchtype=author&query=Maseda%2C+M+V">Michael V. Maseda</a>, <a href="/search/?searchtype=author&query=Mishra%2C+N">Nishant Mishra</a>, <a href="/search/?searchtype=author&query=Muzahid%2C+S">Sowgat Muzahid</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="2309.00053v3-abstract-short" style="display: inline;"> We present the first comprehensive study of a giant, $\approx \! \! 70$ kpc-scale nebula around a radio-quiet quasar at $z<1$. The analysis is based on deep integral field spectroscopy with MUSE of the field of HE$\,$0238$-$1904, a luminous quasar at $z=0.6282$. The nebula emits strongly in $\mathrm{[O \, II]}$, $\rm H 尾$, and $\mathrm{[O \, III]}$, and the quasar resides in an unusually overdense… <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2309.00053v3-abstract-full').style.display = 'inline'; document.getElementById('2309.00053v3-abstract-short').style.display = 'none';">▽ More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2309.00053v3-abstract-full" style="display: none;"> We present the first comprehensive study of a giant, $\approx \! \! 70$ kpc-scale nebula around a radio-quiet quasar at $z<1$. The analysis is based on deep integral field spectroscopy with MUSE of the field of HE$\,$0238$-$1904, a luminous quasar at $z=0.6282$. The nebula emits strongly in $\mathrm{[O \, II]}$, $\rm H 尾$, and $\mathrm{[O \, III]}$, and the quasar resides in an unusually overdense environment for a radio-quiet system. The environment likely consists of two groups which may be merging, and in total have an estimated dynamical mass of $M_{\rm dyn}\approx 4\times 10^{13}$ to $10^{14}\ {\rm M_\odot}$. The nebula exhibits largely quiescent kinematics and irregular morphology. The nebula may arise primarily through interaction-related stripping of circumgalactic and interstellar medium (CGM/ISM) of group members, with some potential contributions from quasar outflows. The simultaneous presence of the giant nebula and a radio-quiet quasar in a rich environment suggests a correlation between such circum-quasar nebulae and environmental effects. This possibility can be tested with larger samples. The upper limits on the electron number density implied by the $\mathrm{[O \, II]}$ doublet ratio range from $\log(n_{\rm e, \, [O \, II]} / \mathrm{cm^{-3}}) < 1.2$ to $2.8$. However, assuming a constant quasar luminosity and negligible projection effects, the densities implied from the measured line ratios between different ions (e.g., $\mathrm{[O\,II]}$, $\mathrm{[O\,III]}$, and $\mathrm{[Ne\,V]}$) and photoionization simulations are often $10{-}400$ times larger. This large discrepancy can be explained by quasar variability on a timescale of $\approx 10^4{-}10^5$ years. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2309.00053v3-abstract-full').style.display = 'none'; document.getElementById('2309.00053v3-abstract-short').style.display = 'inline';">△ Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 30 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> September 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">19 pages, 9 figures, 3 tables; Accepted by 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/2308.10410">arXiv:2308.10410</a> <span> [<a href="https://arxiv.org/pdf/2308.10410">pdf</a>, <a href="https://arxiv.org/format/2308.10410">other</a>] </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> </div> </div> <p class="title is-5 mathjax"> Large Language Models on Wikipedia-Style Survey Generation: an Evaluation in NLP Concepts </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/?searchtype=author&query=Gao%2C+F">Fan Gao</a>, <a href="/search/?searchtype=author&query=Jiang%2C+H">Hang Jiang</a>, <a href="/search/?searchtype=author&query=Yang%2C+R">Rui Yang</a>, <a href="/search/?searchtype=author&query=Zeng%2C+Q">Qingcheng Zeng</a>, <a href="/search/?searchtype=author&query=Lu%2C+J">Jinghui Lu</a>, <a href="/search/?searchtype=author&query=Blum%2C+M">Moritz Blum</a>, <a href="/search/?searchtype=author&query=Liu%2C+D">Dairui Liu</a>, <a href="/search/?searchtype=author&query=She%2C+T">Tianwei She</a>, <a href="/search/?searchtype=author&query=Jiang%2C+Y">Yuang Jiang</a>, <a href="/search/?searchtype=author&query=Li%2C+I">Irene Li</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="2308.10410v4-abstract-short" style="display: inline;"> Educational materials such as survey articles in specialized fields like computer science traditionally require tremendous expert inputs and are therefore expensive to create and update. Recently, Large Language Models (LLMs) have achieved significant success across various general tasks. However, their effectiveness and limitations in the education domain are yet to be fully explored. In this wor… <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2308.10410v4-abstract-full').style.display = 'inline'; document.getElementById('2308.10410v4-abstract-short').style.display = 'none';">▽ More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2308.10410v4-abstract-full" style="display: none;"> Educational materials such as survey articles in specialized fields like computer science traditionally require tremendous expert inputs and are therefore expensive to create and update. Recently, Large Language Models (LLMs) have achieved significant success across various general tasks. However, their effectiveness and limitations in the education domain are yet to be fully explored. In this work, we examine the proficiency of LLMs in generating succinct survey articles specific to the niche field of NLP in computer science, focusing on a curated list of 99 topics. Automated benchmarks reveal that GPT-4 surpasses its predecessors, inluding GPT-3.5, PaLM2, and LLaMa2 by margins ranging from 2% to 20% in comparison to the established ground truth. We compare both human and GPT-based evaluation scores and provide in-depth analysis. While our findings suggest that GPT-created surveys are more contemporary and accessible than human-authored ones, certain limitations were observed. Notably, GPT-4, despite often delivering outstanding content, occasionally exhibited lapses like missing details or factual errors. At last, we compared the rating behavior between humans and GPT-4 and found systematic bias in using GPT evaluation. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2308.10410v4-abstract-full').style.display = 'none'; document.getElementById('2308.10410v4-abstract-short').style.display = 'inline';">△ Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 23 May, 2024; <span class="has-text-black-bis has-text-weight-semibold">v1</span> submitted 20 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> ACL 2024 Findings </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2307.06576">arXiv:2307.06576</a> <span> [<a href="https://arxiv.org/pdf/2307.06576">pdf</a>, <a href="https://arxiv.org/format/2307.06576">other</a>] </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> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Computation and Language">cs.CL</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/10.1145/3604915.3608801">10.1145/3604915.3608801 <i class="fa fa-external-link" aria-hidden="true"></i></a></span> </div> </div> </div> <p class="title is-5 mathjax"> Going Beyond Local: Global Graph-Enhanced Personalized News Recommendations </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/?searchtype=author&query=Yang%2C+B">Boming Yang</a>, <a href="/search/?searchtype=author&query=Liu%2C+D">Dairui Liu</a>, <a href="/search/?searchtype=author&query=Suzumura%2C+T">Toyotaro Suzumura</a>, <a href="/search/?searchtype=author&query=Dong%2C+R">Ruihai Dong</a>, <a href="/search/?searchtype=author&query=Li%2C+I">Irene Li</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="2307.06576v5-abstract-short" style="display: inline;"> Precisely recommending candidate news articles to users has always been a core challenge for personalized news recommendation systems. Most recent works primarily focus on using advanced natural language processing techniques to extract semantic information from rich textual data, employing content-based methods derived from local historical news. However, this approach lacks a global perspective,… <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2307.06576v5-abstract-full').style.display = 'inline'; document.getElementById('2307.06576v5-abstract-short').style.display = 'none';">▽ More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2307.06576v5-abstract-full" style="display: none;"> Precisely recommending candidate news articles to users has always been a core challenge for personalized news recommendation systems. Most recent works primarily focus on using advanced natural language processing techniques to extract semantic information from rich textual data, employing content-based methods derived from local historical news. However, this approach lacks a global perspective, failing to account for users' hidden motivations and behaviors beyond semantic information. To address this challenge, we propose a novel model called GLORY (Global-LOcal news Recommendation sYstem), which combines global representations learned from other users with local representations to enhance personalized recommendation systems. We accomplish this by constructing a Global-aware Historical News Encoder, which includes a global news graph and employs gated graph neural networks to enrich news representations, thereby fusing historical news representations by a historical news aggregator. Similarly, we extend this approach to a Global Candidate News Encoder, utilizing a global entity graph and a candidate news aggregator to enhance candidate news representation. Evaluation results on two public news datasets demonstrate that our method outperforms existing approaches. Furthermore, our model offers more diverse recommendations. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2307.06576v5-abstract-full').style.display = 'none'; document.getElementById('2307.06576v5-abstract-short').style.display = 'inline';">△ Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 26 September, 2023; <span class="has-text-black-bis has-text-weight-semibold">v1</span> submitted 13 July, 2023; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> July 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">Recsys 2023, Best Student Paper</span> </p> </li> </ol> <nav class="pagination is-small is-centered breathe-horizontal" role="navigation" aria-label="pagination"> <a href="" class="pagination-previous is-invisible">Previous </a> <a 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