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</div> <div class="control"> <button class="button is-small is-link">Go</button> </div> </div> </form> </div> </div> <ol class="breathe-horizontal" start="1"> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2206.04802">arXiv:2206.04802</a> <span> [<a href="https://arxiv.org/pdf/2206.04802">pdf</a>, <a href="https://arxiv.org/format/2206.04802">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="Classical Physics">physics.class-ph</span> </div> </div> <p class="title is-5 mathjax"> Modular Light Sources for Microscopy and Beyond (ModLight) </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/physics?searchtype=author&query=Gibson%2C+G+M">Graham M Gibson</a>, <a href="/search/physics?searchtype=author&query=Archibald%2C+R">Robert Archibald</a>, <a href="/search/physics?searchtype=author&query=Main%2C+M">Mark Main</a>, <a href="/search/physics?searchtype=author&query=Kallepalli%2C+A">Akhil Kallepalli</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="2206.04802v1-abstract-short" style="display: inline;"> Delivering light to an object is one of the key steps in any imaging exercise. Tools such as LEDs and lasers are available to achieve this. These components are integrated into systems such as microscopy, medical imaging, remote sensing, and so many more. Motivated by the need for affordable and open access alternatives that are globally relevant, we share the designs and build instructions for mo… <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2206.04802v1-abstract-full').style.display = 'inline'; document.getElementById('2206.04802v1-abstract-short').style.display = 'none';">▽ More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2206.04802v1-abstract-full" style="display: none;"> Delivering light to an object is one of the key steps in any imaging exercise. Tools such as LEDs and lasers are available to achieve this. These components are integrated into systems such as microscopy, medical imaging, remote sensing, and so many more. Motivated by the need for affordable and open access alternatives that are globally relevant, we share the designs and build instructions for modular light source devices that use simple, off-the-shelf components. Light emitted by near-infrared, red, green and blue LEDs are combined with a choice of mirrors or X-Cube prisms to deliver collimated beams of light. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2206.04802v1-abstract-full').style.display = 'none'; document.getElementById('2206.04802v1-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 June, 2022; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> June 2022. </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">Comments:</span> <span class="has-text-grey-dark mathjax">10 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/2205.15832">arXiv:2205.15832</a> <span> [<a href="https://arxiv.org/pdf/2205.15832">pdf</a>, <a href="https://arxiv.org/format/2205.15832">other</a>] </span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="Plasma Physics">physics.plasm-ph</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/TPS.2023.3268170">10.1109/TPS.2023.3268170 <i class="fa fa-external-link" aria-hidden="true"></i></a></span> </div> </div> </div> <p class="title is-5 mathjax"> 2022 Review of Data-Driven Plasma Science </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/physics?searchtype=author&query=Anirudh%2C+R">Rushil Anirudh</a>, <a href="/search/physics?searchtype=author&query=Archibald%2C+R">Rick Archibald</a>, <a href="/search/physics?searchtype=author&query=Asif%2C+M+S">M. Salman Asif</a>, <a href="/search/physics?searchtype=author&query=Becker%2C+M+M">Markus M. Becker</a>, <a href="/search/physics?searchtype=author&query=Benkadda%2C+S">Sadruddin Benkadda</a>, <a href="/search/physics?searchtype=author&query=Bremer%2C+P">Peer-Timo Bremer</a>, <a href="/search/physics?searchtype=author&query=Bud%C3%A9%2C+R+H+S">Rick H. S. Bud茅</a>, <a href="/search/physics?searchtype=author&query=Chang%2C+C+S">C. S. Chang</a>, <a href="/search/physics?searchtype=author&query=Chen%2C+L">Lei Chen</a>, <a href="/search/physics?searchtype=author&query=Churchill%2C+R+M">R. M. Churchill</a>, <a href="/search/physics?searchtype=author&query=Citrin%2C+J">Jonathan Citrin</a>, <a href="/search/physics?searchtype=author&query=Gaffney%2C+J+A">Jim A Gaffney</a>, <a href="/search/physics?searchtype=author&query=Gainaru%2C+A">Ana Gainaru</a>, <a href="/search/physics?searchtype=author&query=Gekelman%2C+W">Walter Gekelman</a>, <a href="/search/physics?searchtype=author&query=Gibbs%2C+T">Tom Gibbs</a>, <a href="/search/physics?searchtype=author&query=Hamaguchi%2C+S">Satoshi Hamaguchi</a>, <a href="/search/physics?searchtype=author&query=Hill%2C+C">Christian Hill</a>, <a href="/search/physics?searchtype=author&query=Humbird%2C+K">Kelli Humbird</a>, <a href="/search/physics?searchtype=author&query=Jalas%2C+S">S枚ren Jalas</a>, <a href="/search/physics?searchtype=author&query=Kawaguchi%2C+S">Satoru Kawaguchi</a>, <a href="/search/physics?searchtype=author&query=Kim%2C+G">Gon-Ho Kim</a>, <a href="/search/physics?searchtype=author&query=Kirchen%2C+M">Manuel Kirchen</a>, <a href="/search/physics?searchtype=author&query=Klasky%2C+S">Scott Klasky</a>, <a href="/search/physics?searchtype=author&query=Kline%2C+J+L">John L. Kline</a>, <a href="/search/physics?searchtype=author&query=Krushelnick%2C+K">Karl Krushelnick</a> , et al. (38 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="2205.15832v1-abstract-short" style="display: inline;"> Data science and technology offer transformative tools and methods to science. This review article highlights latest development and progress in the interdisciplinary field of data-driven plasma science (DDPS). A large amount of data and machine learning algorithms go hand in hand. Most plasma data, whether experimental, observational or computational, are generated or collected by machines today.… <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2205.15832v1-abstract-full').style.display = 'inline'; document.getElementById('2205.15832v1-abstract-short').style.display = 'none';">▽ More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2205.15832v1-abstract-full" style="display: none;"> Data science and technology offer transformative tools and methods to science. This review article highlights latest development and progress in the interdisciplinary field of data-driven plasma science (DDPS). A large amount of data and machine learning algorithms go hand in hand. Most plasma data, whether experimental, observational or computational, are generated or collected by machines today. It is now becoming impractical for humans to analyze all the data manually. Therefore, it is imperative to train machines to analyze and interpret (eventually) such data as intelligently as humans but far more efficiently in quantity. Despite the recent impressive progress in applications of data science to plasma science and technology, the emerging field of DDPS is still in its infancy. Fueled by some of the most challenging problems such as fusion energy, plasma processing of materials, and fundamental understanding of the universe through observable plasma phenomena, it is expected that DDPS continues to benefit significantly from the interdisciplinary marriage between plasma science and data science into the foreseeable future. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2205.15832v1-abstract-full').style.display = 'none'; document.getElementById('2205.15832v1-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 May, 2022; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> May 2022. </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">Comments:</span> <span class="has-text-grey-dark mathjax">112 pages (including 700+ references), 44 figures, submitted to IEEE Transactions on Plasma Science as a part of the IEEE Golden Anniversary Special Issue</span> </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">Report number:</span> Los Alamos Report number LA-UR-22-24834 </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">Journal ref:</span> IEEE Transactions on Plasma Science 51, 1750 - 1838 (2023) </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2002.12193">arXiv:2002.12193</a> <span> [<a href="https://arxiv.org/pdf/2002.12193">pdf</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="Computational Physics">physics.comp-ph</span> </div> </div> <p class="title is-5 mathjax"> Reconstruction of effective potential from statistical analysis of dynamic trajectories </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/physics?searchtype=author&query=Nobakht%2C+A+Y">Ali Yousefzadi Nobakht</a>, <a href="/search/physics?searchtype=author&query=Dyck%2C+O">Ondrej Dyck</a>, <a href="/search/physics?searchtype=author&query=Lingerfelt%2C+D+B">David B. Lingerfelt</a>, <a href="/search/physics?searchtype=author&query=Bao%2C+F">Feng Bao</a>, <a href="/search/physics?searchtype=author&query=Ziatdinov%2C+M">Maxim Ziatdinov</a>, <a href="/search/physics?searchtype=author&query=Maksov%2C+A">Artem Maksov</a>, <a href="/search/physics?searchtype=author&query=Sumpter%2C+B+G">Bobby G. Sumpter</a>, <a href="/search/physics?searchtype=author&query=Archibald%2C+R">Richard Archibald</a>, <a href="/search/physics?searchtype=author&query=Jesse%2C+S">Stephen Jesse</a>, <a href="/search/physics?searchtype=author&query=Kalinin%2C+S+V">Sergei V. Kalinin</a>, <a href="/search/physics?searchtype=author&query=Law%2C+K+J+H">Kody J. H. Law</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="2002.12193v1-abstract-short" style="display: inline;"> The broad incorporation of microscopic methods is yielding a wealth of information on atomic and mesoscale dynamics of individual atoms, molecules, and particles on surfaces and in open volumes. Analysis of such data necessitates statistical frameworks to convert observed dynamic behaviors to effective properties of materials. Here we develop a method for stochastic reconstruction of effective act… <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2002.12193v1-abstract-full').style.display = 'inline'; document.getElementById('2002.12193v1-abstract-short').style.display = 'none';">▽ More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2002.12193v1-abstract-full" style="display: none;"> The broad incorporation of microscopic methods is yielding a wealth of information on atomic and mesoscale dynamics of individual atoms, molecules, and particles on surfaces and in open volumes. Analysis of such data necessitates statistical frameworks to convert observed dynamic behaviors to effective properties of materials. Here we develop a method for stochastic reconstruction of effective acting potentials from observed trajectories. Using the Silicon vacancy defect in graphene as a model, we develop a statistical framework to reconstruct the free energy landscape from calculated atomic displacements. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2002.12193v1-abstract-full').style.display = 'none'; document.getElementById('2002.12193v1-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> 27 February, 2020; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> February 2020. </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">Comments:</span> <span class="has-text-grey-dark mathjax">12 pages, 5 figures. This manuscript is a part of update to previous work (arXiv:1804.03729v1) authors found some of the analysis in the previous work to be not accurate and this manuscript is a partial update to that work</span> </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/1906.09482">arXiv:1906.09482</a> <span> [<a href="https://arxiv.org/pdf/1906.09482">pdf</a>, <a href="https://arxiv.org/format/1906.09482">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> </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/10.1063/1.5116147">10.1063/1.5116147 <i class="fa fa-external-link" aria-hidden="true"></i></a></span> </div> </div> </div> <p class="title is-5 mathjax"> Super-resolution energy spectra from neutron direct-geometry spectrometers </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/physics?searchtype=author&query=Islam%2C+F">Fahima Islam</a>, <a href="/search/physics?searchtype=author&query=Lin%2C+J+Y+Y">Jiao Y. Y. Lin</a>, <a href="/search/physics?searchtype=author&query=Archibald%2C+R">Richard Archibald</a>, <a href="/search/physics?searchtype=author&query=Abernathy%2C+D+L">Douglas L. Abernathy</a>, <a href="/search/physics?searchtype=author&query=Al-Qasir%2C+I">Iyad Al-Qasir</a>, <a href="/search/physics?searchtype=author&query=Campbell%2C+A+A">Anne A. Campbell</a>, <a href="/search/physics?searchtype=author&query=Stone%2C+M+B">Matthew B. Stone</a>, <a href="/search/physics?searchtype=author&query=Granroth%2C+G+E">Garrett E. Granroth</a> </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="1906.09482v1-abstract-short" style="display: inline;"> Neutron direct-geometry time-of-flight chopper spectroscopy is instrumental in studying fundamental excitations of vibrational and/or magnetic origin. We report here that techniques in super-resolution optical imagery (which is in real-space) can be adapted to enhance resolution and reduce noise for a neutron spectroscopy (an instrument for mapping excitations in reciprocal space). The procedure t… <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('1906.09482v1-abstract-full').style.display = 'inline'; document.getElementById('1906.09482v1-abstract-short').style.display = 'none';">▽ More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="1906.09482v1-abstract-full" style="display: none;"> Neutron direct-geometry time-of-flight chopper spectroscopy is instrumental in studying fundamental excitations of vibrational and/or magnetic origin. We report here that techniques in super-resolution optical imagery (which is in real-space) can be adapted to enhance resolution and reduce noise for a neutron spectroscopy (an instrument for mapping excitations in reciprocal space). The procedure to reconstruct super-resolution energy spectra of phonon density of states relies on a realization of multi-frame registration, accurate determination of the energy-dependent point spread function, asymmetric nature of instrument resolution broadening, and iterative reconstructions. Applying these methods to phonon density of states data for a graphite sample demonstrates contrast enhancement, noise reduction, and ~5-fold improvement over nominal energy resolution. The data were collected at three different incident energies measured at the Wide Angular-Range Chopper Spectrometer at the Spallation Neutron Source. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('1906.09482v1-abstract-full').style.display = 'none'; document.getElementById('1906.09482v1-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 June, 2019; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> June 2019. </p> </li> </ol> <div class="is-hidden-tablet">  <span class="help" style="display: inline-block;"><a href="https://github.com/arXiv/arxiv-search/releases">Search v0.5.6 released 2020-02-24</a>  </span> </div> </div> </main> <footer> <div class="columns is-desktop" role="navigation" aria-label="Secondary">  <div class="column"> <div class="columns"> <div class="column"> <ul class="nav-spaced"> 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