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<!DOCTYPE html> <html lang="en"> <head> <title>[2101.11589] A Convolutional Neural Network based Cascade Reconstruction for the IceCube Neutrino Observatory</title> <meta name="viewport" content="width=device-width, initial-scale=1"> <link rel="apple-touch-icon" sizes="180x180" href="/static/browse/0.3.4/images/icons/apple-touch-icon.png"> <link rel="icon" type="image/png" sizes="32x32" href="/static/browse/0.3.4/images/icons/favicon-32x32.png"> <link rel="icon" type="image/png" sizes="16x16" href="/static/browse/0.3.4/images/icons/favicon-16x16.png"> <link rel="manifest" href="/static/browse/0.3.4/images/icons/site.webmanifest"> <link rel="mask-icon" href="/static/browse/0.3.4/images/icons/safari-pinned-tab.svg" color="#5bbad5"> <meta name="msapplication-TileColor" content="#da532c"> <meta name="theme-color" content="#ffffff"> <link rel="stylesheet" type="text/css" media="screen" href="/static/browse/0.3.4/css/arXiv.css?v=20241206" /> <link rel="stylesheet" type="text/css" media="print" href="/static/browse/0.3.4/css/arXiv-print.css?v=20200611" /> <link rel="stylesheet" type="text/css" media="screen" href="/static/browse/0.3.4/css/browse_search.css" /> <script language="javascript" src="/static/browse/0.3.4/js/accordion.js" /></script> <link rel="canonical" href="https://arxiv.org/abs/2101.11589"/> <meta name="description" content="Abstract page for arXiv paper 2101.11589: A Convolutional Neural Network based Cascade Reconstruction for the IceCube Neutrino Observatory"><meta property="og:type" content="website" /> <meta property="og:site_name" content="arXiv.org" /> <meta property="og:title" content="A Convolutional Neural Network based Cascade Reconstruction for the IceCube Neutrino Observatory" /> <meta property="og:url" content="https://arxiv.org/abs/2101.11589v2" /> <meta property="og:image" content="/static/browse/0.3.4/images/arxiv-logo-fb.png" /> <meta property="og:image:secure_url" content="/static/browse/0.3.4/images/arxiv-logo-fb.png" /> <meta property="og:image:width" content="1200" /> <meta property="og:image:height" content="700" /> <meta property="og:image:alt" content="arXiv logo"/> <meta property="og:description" content="Continued improvements on existing reconstruction methods are vital to the success of high-energy physics experiments, such as the IceCube Neutrino Observatory. In IceCube, further challenges arise as the detector is situated at the geographic South Pole where computational resources are limited. However, to perform real-time analyses and to issue alerts to telescopes around the world, powerful and fast reconstruction methods are desired. Deep neural networks can be extremely powerful, and their usage is computationally inexpensive once the networks are trained. These characteristics make a deep learning-based approach an excellent candidate for the application in IceCube. A reconstruction method based on convolutional architectures and hexagonally shaped kernels is presented. The presented method is robust towards systematic uncertainties in the simulation and has been tested on experimental data. In comparison to standard reconstruction methods in IceCube, it can improve upon the reconstruction accuracy, while reducing the time necessary to run the reconstruction by two to three orders of magnitude."/> <meta name="twitter:site" content="@arxiv"/> <meta name="twitter:card" content="summary"/> <meta name="twitter:title" content="A Convolutional Neural Network based Cascade Reconstruction for..."/> <meta name="twitter:description" content="Continued improvements on existing reconstruction methods are vital to the success of high-energy physics experiments, such as the IceCube Neutrino Observatory. In IceCube, further challenges..."/> <meta name="twitter:image" content="https://static.arxiv.org/icons/twitter/arxiv-logo-twitter-square.png"/> <meta name="twitter:image:alt" content="arXiv logo"/> <link rel="stylesheet" media="screen" type="text/css" href="/static/browse/0.3.4/css/tooltip.css"/><link rel="stylesheet" media="screen" type="text/css" href="https://static.arxiv.org/js/bibex-dev/bibex.css?20200709"/> <script src="/static/browse/0.3.4/js/mathjaxToggle.min.js" type="text/javascript"></script> <script src="//code.jquery.com/jquery-latest.min.js" type="text/javascript"></script> <script src="//cdn.jsdelivr.net/npm/js-cookie@2/src/js.cookie.min.js" type="text/javascript"></script> <script src="//cdn.jsdelivr.net/npm/dompurify@2.3.5/dist/purify.min.js"></script> <script src="/static/browse/0.3.4/js/toggle-labs.js?20241022" type="text/javascript"></script> <script src="/static/browse/0.3.4/js/cite.js" type="text/javascript"></script><meta name="citation_title" content="A Convolutional Neural Network based Cascade Reconstruction for the IceCube Neutrino Observatory" /><meta name="citation_author" content="Abbasi, R." /><meta name="citation_author" content="Ackermann, M." /><meta name="citation_author" content="Adams, J." /><meta name="citation_author" content="Aguilar, J. 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P." /><meta name="citation_author" content="Yoshida, S." /><meta name="citation_author" content="Yuan, T." /><meta name="citation_author" content="Zhang, Z." /><meta name="citation_doi" content="10.1088/1748-0221/16/07/P07041" /><meta name="citation_date" content="2021/01/27" /><meta name="citation_online_date" content="2021/07/26" /><meta name="citation_pdf_url" content="http://arxiv.org/pdf/2101.11589" /><meta name="citation_arxiv_id" content="2101.11589" /><meta name="citation_abstract" content="Continued improvements on existing reconstruction methods are vital to the success of high-energy physics experiments, such as the IceCube Neutrino Observatory. In IceCube, further challenges arise as the detector is situated at the geographic South Pole where computational resources are limited. However, to perform real-time analyses and to issue alerts to telescopes around the world, powerful and fast reconstruction methods are desired. Deep neural networks can be extremely powerful, and their usage is computationally inexpensive once the networks are trained. These characteristics make a deep learning-based approach an excellent candidate for the application in IceCube. A reconstruction method based on convolutional architectures and hexagonally shaped kernels is presented. The presented method is robust towards systematic uncertainties in the simulation and has been tested on experimental data. In comparison to standard reconstruction methods in IceCube, it can improve upon the reconstruction accuracy, while reducing the time necessary to run the reconstruction by two to three orders of magnitude." /> </head> <body class="with-cu-identity"> <div class="flex-wrap-footer"> <header> <a href="#content" class="is-sr-only">Skip to main content</a>  <div class="columns is-vcentered is-hidden-mobile" id="cu-identity"> <div class="column" id="cu-logo"> <a href="https://www.cornell.edu/"><img src="/static/browse/0.3.4/images/icons/cu/cornell-reduced-white-SMALL.svg" alt="Cornell University" /></a> </div><div class="column" id="support-ack"> <span id="support-ack-url">We gratefully acknowledge support from the Simons Foundation, <a href="https://info.arxiv.org/about/ourmembers.html">member institutions</a>, and all contributors.</span> <a href="https://info.arxiv.org/about/donate.html" class="btn-header-donate">Donate</a> </div> </div> <div id="header" class="is-hidden-mobile"> <a 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Reconstruction for the IceCube Neutrino Observatory</h1> <div class="authors"><span class="descriptor">Authors:</span><a href="https://arxiv.org/search/hep-ex?searchtype=author&query=Abbasi,+R" rel="nofollow">R. Abbasi</a>, <a href="https://arxiv.org/search/hep-ex?searchtype=author&query=Ackermann,+M" rel="nofollow">M. Ackermann</a>, <a href="https://arxiv.org/search/hep-ex?searchtype=author&query=Adams,+J" rel="nofollow">J. Adams</a>, <a href="https://arxiv.org/search/hep-ex?searchtype=author&query=Aguilar,+J+A" rel="nofollow">J. A. Aguilar</a>, <a href="https://arxiv.org/search/hep-ex?searchtype=author&query=Ahlers,+M" rel="nofollow">M. Ahlers</a>, <a href="https://arxiv.org/search/hep-ex?searchtype=author&query=Ahrens,+M" rel="nofollow">M. Ahrens</a>, <a href="https://arxiv.org/search/hep-ex?searchtype=author&query=Alispach,+C" rel="nofollow">C. Alispach</a>, <a href="https://arxiv.org/search/hep-ex?searchtype=author&query=Alves,+A+A" rel="nofollow">A. A. Alves Jr.</a>, <a href="https://arxiv.org/search/hep-ex?searchtype=author&query=Amin,+N+M" rel="nofollow">N. M. Amin</a>, <a href="https://arxiv.org/search/hep-ex?searchtype=author&query=An,+R" rel="nofollow">R. An</a>, <a href="https://arxiv.org/search/hep-ex?searchtype=author&query=Andeen,+K" rel="nofollow">K. Andeen</a>, <a href="https://arxiv.org/search/hep-ex?searchtype=author&query=Anderson,+T" rel="nofollow">T. Anderson</a>, <a href="https://arxiv.org/search/hep-ex?searchtype=author&query=Ansseau,+I" rel="nofollow">I. Ansseau</a>, <a href="https://arxiv.org/search/hep-ex?searchtype=author&query=Anton,+G" rel="nofollow">G. Anton</a>, <a href="https://arxiv.org/search/hep-ex?searchtype=author&query=Arg%C3%BCelles,+C" rel="nofollow">C. Arg眉elles</a>, <a href="https://arxiv.org/search/hep-ex?searchtype=author&query=Axani,+S" rel="nofollow">S. Axani</a>, <a href="https://arxiv.org/search/hep-ex?searchtype=author&query=Bai,+X" rel="nofollow">X. Bai</a>, <a href="https://arxiv.org/search/hep-ex?searchtype=author&query=V.,+A+B" rel="nofollow">A. Balagopal V.</a>, <a href="https://arxiv.org/search/hep-ex?searchtype=author&query=Barbano,+A" rel="nofollow">A. Barbano</a>, <a href="https://arxiv.org/search/hep-ex?searchtype=author&query=Barwick,+S+W" rel="nofollow">S. W. Barwick</a>, <a href="https://arxiv.org/search/hep-ex?searchtype=author&query=Bastian,+B" rel="nofollow">B. Bastian</a>, <a href="https://arxiv.org/search/hep-ex?searchtype=author&query=Basu,+V" rel="nofollow">V. Basu</a>, <a href="https://arxiv.org/search/hep-ex?searchtype=author&query=Baum,+V" rel="nofollow">V. Baum</a>, <a href="https://arxiv.org/search/hep-ex?searchtype=author&query=Baur,+S" rel="nofollow">S. Baur</a>, <a href="https://arxiv.org/search/hep-ex?searchtype=author&query=Bay,+R" rel="nofollow">R. Bay</a>, <a href="https://arxiv.org/search/hep-ex?searchtype=author&query=Beatty,+J+J" rel="nofollow">J. J. Beatty</a>, <a href="https://arxiv.org/search/hep-ex?searchtype=author&query=Becker,+K" rel="nofollow">K.-H. Becker</a>, <a href="https://arxiv.org/search/hep-ex?searchtype=author&query=Tjus,+J+B" rel="nofollow">J. Becker Tjus</a>, <a href="https://arxiv.org/search/hep-ex?searchtype=author&query=Bellenghi,+C" rel="nofollow">C. Bellenghi</a>, <a href="https://arxiv.org/search/hep-ex?searchtype=author&query=BenZvi,+S" rel="nofollow">S. BenZvi</a>, <a href="https://arxiv.org/search/hep-ex?searchtype=author&query=Berley,+D" rel="nofollow">D. Berley</a>, <a href="https://arxiv.org/search/hep-ex?searchtype=author&query=Bernardini,+E" rel="nofollow">E. Bernardini</a>, <a href="https://arxiv.org/search/hep-ex?searchtype=author&query=Besson,+D+Z" rel="nofollow">D. Z. Besson</a>, <a href="https://arxiv.org/search/hep-ex?searchtype=author&query=Binder,+G" rel="nofollow">G. Binder</a>, <a href="https://arxiv.org/search/hep-ex?searchtype=author&query=Bindig,+D" rel="nofollow">D. Bindig</a>, <a href="https://arxiv.org/search/hep-ex?searchtype=author&query=Blaufuss,+E" rel="nofollow">E. Blaufuss</a>, <a href="https://arxiv.org/search/hep-ex?searchtype=author&query=Blot,+S" rel="nofollow">S. Blot</a>, <a href="https://arxiv.org/search/hep-ex?searchtype=author&query=B%C3%B6ser,+S" rel="nofollow">S. B枚ser</a>, <a href="https://arxiv.org/search/hep-ex?searchtype=author&query=Botner,+O" rel="nofollow">O. Botner</a>, <a href="https://arxiv.org/search/hep-ex?searchtype=author&query=B%C3%B6ttcher,+J" rel="nofollow">J. B枚ttcher</a>, <a href="https://arxiv.org/search/hep-ex?searchtype=author&query=Bourbeau,+E" rel="nofollow">E. Bourbeau</a>, <a href="https://arxiv.org/search/hep-ex?searchtype=author&query=Bourbeau,+J" rel="nofollow">J. Bourbeau</a>, <a href="https://arxiv.org/search/hep-ex?searchtype=author&query=Bradascio,+F" rel="nofollow">F. Bradascio</a>, <a href="https://arxiv.org/search/hep-ex?searchtype=author&query=Braun,+J" rel="nofollow">J. Braun</a>, <a href="https://arxiv.org/search/hep-ex?searchtype=author&query=Bron,+S" rel="nofollow">S. Bron</a>, <a href="https://arxiv.org/search/hep-ex?searchtype=author&query=Brostean-Kaiser,+J" rel="nofollow">J. Brostean-Kaiser</a>, <a href="https://arxiv.org/search/hep-ex?searchtype=author&query=Burgman,+A" rel="nofollow">A. Burgman</a>, <a href="https://arxiv.org/search/hep-ex?searchtype=author&query=Busse,+R+S" rel="nofollow">R. S. Busse</a>, <a href="https://arxiv.org/search/hep-ex?searchtype=author&query=Campana,+M+A" rel="nofollow">M. A. Campana</a>, <a href="https://arxiv.org/search/hep-ex?searchtype=author&query=Chen,+C" rel="nofollow">C. Chen</a>, <a href="https://arxiv.org/search/hep-ex?searchtype=author&query=Chirkin,+D" rel="nofollow">D. Chirkin</a>, <a href="https://arxiv.org/search/hep-ex?searchtype=author&query=Choi,+S" rel="nofollow">S. Choi</a>, <a href="https://arxiv.org/search/hep-ex?searchtype=author&query=Clark,+B+A" rel="nofollow">B. A. Clark</a>, <a href="https://arxiv.org/search/hep-ex?searchtype=author&query=Clark,+K" rel="nofollow">K. Clark</a>, <a href="https://arxiv.org/search/hep-ex?searchtype=author&query=Classen,+L" rel="nofollow">L. 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Griffith</a>, <a href="https://arxiv.org/search/hep-ex?searchtype=author&query=Griswold,+S" rel="nofollow">S. Griswold</a>, <a href="https://arxiv.org/search/hep-ex?searchtype=author&query=G%C3%BCnd%C3%BCz,+M" rel="nofollow">M. G眉nd眉z</a>, <a href="https://arxiv.org/search/hep-ex?searchtype=author&query=Haack,+C" rel="nofollow">C. Haack</a>, <a href="https://arxiv.org/search/hep-ex?searchtype=author&query=Hallgren,+A" rel="nofollow">A. Hallgren</a>, <a href="https://arxiv.org/search/hep-ex?searchtype=author&query=Halliday,+R" rel="nofollow">R. Halliday</a>, <a href="https://arxiv.org/search/hep-ex?searchtype=author&query=Halve,+L" rel="nofollow">L. Halve</a>, <a href="https://arxiv.org/search/hep-ex?searchtype=author&query=Halzen,+F" rel="nofollow">F. Halzen</a>, <a href="https://arxiv.org/search/hep-ex?searchtype=author&query=Minh,+M+H" rel="nofollow">M. Ha Minh</a>, <a href="https://arxiv.org/search/hep-ex?searchtype=author&query=Hanson,+K" rel="nofollow">K. Hanson</a>, <a href="https://arxiv.org/search/hep-ex?searchtype=author&query=Hardin,+J" rel="nofollow">J. Hardin</a>, <a href="https://arxiv.org/search/hep-ex?searchtype=author&query=Harnisch,+A+A" rel="nofollow">A. A. Harnisch</a>, <a href="https://arxiv.org/search/hep-ex?searchtype=author&query=Haungs,+A" rel="nofollow">A. Haungs</a>, <a href="https://arxiv.org/search/hep-ex?searchtype=author&query=Hauser,+S" rel="nofollow">S. Hauser</a>, <a href="https://arxiv.org/search/hep-ex?searchtype=author&query=Hebecker,+D" rel="nofollow">D. Hebecker</a>, <a href="https://arxiv.org/search/hep-ex?searchtype=author&query=Helbing,+K" rel="nofollow">K. Helbing</a>, <a href="https://arxiv.org/search/hep-ex?searchtype=author&query=Henningsen,+F" rel="nofollow">F. Henningsen</a>, <a href="https://arxiv.org/search/hep-ex?searchtype=author&query=Hettinger,+E+C" rel="nofollow">E. C. Hettinger</a>, <a href="https://arxiv.org/search/hep-ex?searchtype=author&query=Hickford,+S" rel="nofollow">S. Hickford</a>, <a href="https://arxiv.org/search/hep-ex?searchtype=author&query=Hignight,+J" rel="nofollow">J. Hignight</a>, <a href="https://arxiv.org/search/hep-ex?searchtype=author&query=Hill,+C" rel="nofollow">C. Hill</a>, <a href="https://arxiv.org/search/hep-ex?searchtype=author&query=Hill,+G+C" rel="nofollow">G. C. Hill</a>, <a href="https://arxiv.org/search/hep-ex?searchtype=author&query=Hoffman,+K+D" rel="nofollow">K. D. Hoffman</a>, <a href="https://arxiv.org/search/hep-ex?searchtype=author&query=Hoffmann,+R" rel="nofollow">R. Hoffmann</a>, <a href="https://arxiv.org/search/hep-ex?searchtype=author&query=Hoinka,+T" rel="nofollow">T. Hoinka</a>, <a href="https://arxiv.org/search/hep-ex?searchtype=author&query=Hokanson-Fasig,+B" rel="nofollow">B. Hokanson-Fasig</a>, <a href="https://arxiv.org/search/hep-ex?searchtype=author&query=Hoshina,+K" rel="nofollow">K. Hoshina</a>, <a href="https://arxiv.org/search/hep-ex?searchtype=author&query=Huang,+F" rel="nofollow">F. Huang</a>, <a href="https://arxiv.org/search/hep-ex?searchtype=author&query=Huber,+M" rel="nofollow">M. Huber</a>, <a href="https://arxiv.org/search/hep-ex?searchtype=author&query=Huber,+T" rel="nofollow">T. Huber</a>, <a href="https://arxiv.org/search/hep-ex?searchtype=author&query=Hultqvist,+K" rel="nofollow">K. Hultqvist</a>, <a href="https://arxiv.org/search/hep-ex?searchtype=author&query=H%C3%BCnnefeld,+M" rel="nofollow">M. H眉nnefeld</a>, <a href="https://arxiv.org/search/hep-ex?searchtype=author&query=Hussain,+R" rel="nofollow">R. Hussain</a>, <a href="https://arxiv.org/search/hep-ex?searchtype=author&query=In,+S" rel="nofollow">S. In</a>, <a href="https://arxiv.org/search/hep-ex?searchtype=author&query=Iovine,+N" rel="nofollow">N. Iovine</a>, <a href="https://arxiv.org/search/hep-ex?searchtype=author&query=Ishihara,+A" rel="nofollow">A. Ishihara</a>, <a href="https://arxiv.org/search/hep-ex?searchtype=author&query=Jansson,+M" rel="nofollow">M. Jansson</a>, <a href="https://arxiv.org/search/hep-ex?searchtype=author&query=Japaridze,+G+S" rel="nofollow">G. S. Japaridze</a>, <a href="https://arxiv.org/search/hep-ex?searchtype=author&query=Jeong,+M" rel="nofollow">M. Jeong</a>, <a href="https://arxiv.org/search/hep-ex?searchtype=author&query=Jones,+B+J+P" rel="nofollow">B. J. P. Jones</a>, <a href="https://arxiv.org/search/hep-ex?searchtype=author&query=Joppe,+R" rel="nofollow">R. Joppe</a>, <a href="https://arxiv.org/search/hep-ex?searchtype=author&query=Kang,+D" rel="nofollow">D. Kang</a>, <a href="https://arxiv.org/search/hep-ex?searchtype=author&query=Kang,+W" rel="nofollow">W. Kang</a>, <a href="https://arxiv.org/search/hep-ex?searchtype=author&query=Kang,+X" rel="nofollow">X. Kang</a>, <a href="https://arxiv.org/search/hep-ex?searchtype=author&query=Kappes,+A" rel="nofollow">A. Kappes</a>, <a href="https://arxiv.org/search/hep-ex?searchtype=author&query=Kappesser,+D" rel="nofollow">D. Kappesser</a>, <a href="https://arxiv.org/search/hep-ex?searchtype=author&query=Karg,+T" rel="nofollow">T. Karg</a>, <a href="https://arxiv.org/search/hep-ex?searchtype=author&query=Karl,+M" rel="nofollow">M. Karl</a>, <a href="https://arxiv.org/search/hep-ex?searchtype=author&query=Karle,+A" rel="nofollow">A. Karle</a>, <a href="https://arxiv.org/search/hep-ex?searchtype=author&query=Katz,+U" rel="nofollow">U. Katz</a>, <a href="https://arxiv.org/search/hep-ex?searchtype=author&query=Kauer,+M" rel="nofollow">M. Kauer</a>, <a href="https://arxiv.org/search/hep-ex?searchtype=author&query=Kellermann,+M" rel="nofollow">M. Kellermann</a>, <a href="https://arxiv.org/search/hep-ex?searchtype=author&query=Kelley,+J+L" rel="nofollow">J. L. Kelley</a>, <a href="https://arxiv.org/search/hep-ex?searchtype=author&query=Kheirandish,+A" rel="nofollow">A. Kheirandish</a>, <a href="https://arxiv.org/search/hep-ex?searchtype=author&query=Kim,+J" rel="nofollow">J. Kim</a>, <a href="https://arxiv.org/search/hep-ex?searchtype=author&query=Kin,+K" rel="nofollow">K. Kin</a>, <a href="https://arxiv.org/search/hep-ex?searchtype=author&query=Kintscher,+T" rel="nofollow">T. Kintscher</a>, <a href="https://arxiv.org/search/hep-ex?searchtype=author&query=Kiryluk,+J" rel="nofollow">J. Kiryluk</a>, <a href="https://arxiv.org/search/hep-ex?searchtype=author&query=Klein,+S+R" rel="nofollow">S. R. Klein</a>, <a href="https://arxiv.org/search/hep-ex?searchtype=author&query=Koirala,+R" rel="nofollow">R. Koirala</a>, <a href="https://arxiv.org/search/hep-ex?searchtype=author&query=Kolanoski,+H" rel="nofollow">H. Kolanoski</a>, <a href="https://arxiv.org/search/hep-ex?searchtype=author&query=K%C3%B6pke,+L" rel="nofollow">L. K枚pke</a>, <a href="https://arxiv.org/search/hep-ex?searchtype=author&query=Kopper,+C" rel="nofollow">C. Kopper</a>, <a href="https://arxiv.org/search/hep-ex?searchtype=author&query=Kopper,+S" rel="nofollow">S. Kopper</a>, <a href="https://arxiv.org/search/hep-ex?searchtype=author&query=Koskinen,+D+J" rel="nofollow">D. J. Koskinen</a>, <a href="https://arxiv.org/search/hep-ex?searchtype=author&query=Koundal,+P" rel="nofollow">P. Koundal</a>, <a href="https://arxiv.org/search/hep-ex?searchtype=author&query=Kovacevich,+M" rel="nofollow">M. Kovacevich</a>, <a href="https://arxiv.org/search/hep-ex?searchtype=author&query=Kowalski,+M" rel="nofollow">M. Kowalski</a>, <a href="https://arxiv.org/search/hep-ex?searchtype=author&query=Krings,+K" rel="nofollow">K. Krings</a>, <a href="https://arxiv.org/search/hep-ex?searchtype=author&query=Kr%C3%BCckl,+G" rel="nofollow">G. Kr眉ckl</a>, <a href="https://arxiv.org/search/hep-ex?searchtype=author&query=Kurahashi,+N" rel="nofollow">N. Kurahashi</a>, <a href="https://arxiv.org/search/hep-ex?searchtype=author&query=Kyriacou,+A" rel="nofollow">A. Kyriacou</a>, <a href="https://arxiv.org/search/hep-ex?searchtype=author&query=Gualda,+C+L" rel="nofollow">C. Lagunas Gualda</a>, <a href="https://arxiv.org/search/hep-ex?searchtype=author&query=Lanfranchi,+J+L" rel="nofollow">J. L. Lanfranchi</a>, <a href="https://arxiv.org/search/hep-ex?searchtype=author&query=Larson,+M+J" rel="nofollow">M. J. Larson</a>, <a href="https://arxiv.org/search/hep-ex?searchtype=author&query=Lauber,+F" rel="nofollow">F. Lauber</a>, <a href="https://arxiv.org/search/hep-ex?searchtype=author&query=Lazar,+J+P" rel="nofollow">J. P. Lazar</a>, <a href="https://arxiv.org/search/hep-ex?searchtype=author&query=Leonard,+K" rel="nofollow">K. Leonard</a>, <a href="https://arxiv.org/search/hep-ex?searchtype=author&query=Leszczy%C5%84ska,+A" rel="nofollow">A. Leszczy艅ska</a>, <a href="https://arxiv.org/search/hep-ex?searchtype=author&query=Li,+Y" rel="nofollow">Y. Li</a>, <a href="https://arxiv.org/search/hep-ex?searchtype=author&query=Liu,+Q+R" rel="nofollow">Q. R. Liu</a>, <a href="https://arxiv.org/search/hep-ex?searchtype=author&query=Lohfink,+E" rel="nofollow">E. Lohfink</a>, <a href="https://arxiv.org/search/hep-ex?searchtype=author&query=Mariscal,+C+J+L" rel="nofollow">C. J. Lozano Mariscal</a>, <a href="https://arxiv.org/search/hep-ex?searchtype=author&query=Lu,+L" rel="nofollow">L. Lu</a>, <a href="https://arxiv.org/search/hep-ex?searchtype=author&query=Lucarelli,+F" rel="nofollow">F. Lucarelli</a>, <a href="https://arxiv.org/search/hep-ex?searchtype=author&query=Ludwig,+A" rel="nofollow">A. Ludwig</a>, <a href="https://arxiv.org/search/hep-ex?searchtype=author&query=Luszczak,+W" rel="nofollow">W. Luszczak</a>, <a href="https://arxiv.org/search/hep-ex?searchtype=author&query=Lyu,+Y" rel="nofollow">Y. Lyu</a>, <a href="https://arxiv.org/search/hep-ex?searchtype=author&query=Ma,+W+Y" rel="nofollow">W. Y. Ma</a>, <a href="https://arxiv.org/search/hep-ex?searchtype=author&query=Madsen,+J" rel="nofollow">J. Madsen</a>, <a href="https://arxiv.org/search/hep-ex?searchtype=author&query=Mahn,+K+B+M" rel="nofollow">K. B. M. 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(268 additional authors not shown)</a> <noscript> You must enable JavaScript to view entire author list.</noscript></div> <div id="download-button-info" hidden>View a PDF of the paper titled A Convolutional Neural Network based Cascade Reconstruction for the IceCube Neutrino Observatory, by R. Abbasi and 367 other authors</div> <a class="mobile-submission-download" href="/pdf/2101.11589">View PDF</a> <blockquote class="abstract mathjax"> <span class="descriptor">Abstract:</span>Continued improvements on existing reconstruction methods are vital to the success of high-energy physics experiments, such as the IceCube Neutrino Observatory. In IceCube, further challenges arise as the detector is situated at the geographic South Pole where computational resources are limited. However, to perform real-time analyses and to issue alerts to telescopes around the world, powerful and fast reconstruction methods are desired. Deep neural networks can be extremely powerful, and their usage is computationally inexpensive once the networks are trained. These characteristics make a deep learning-based approach an excellent candidate for the application in IceCube. A reconstruction method based on convolutional architectures and hexagonally shaped kernels is presented. The presented method is robust towards systematic uncertainties in the simulation and has been tested on experimental data. In comparison to standard reconstruction methods in IceCube, it can improve upon the reconstruction accuracy, while reducing the time necessary to run the reconstruction by two to three orders of magnitude. </blockquote>  <div class="metatable"> <table summary="Additional metadata"> <tr> <td class="tablecell label">Comments:</td> <td class="tablecell comments mathjax">39 pages, 15 figures, submitted to Journal of Instrumentation; added references</td> </tr> <tr> <td class="tablecell label">Subjects:</td> <td class="tablecell subjects"> <span class="primary-subject">High Energy Physics - Experiment (hep-ex)</span>; Machine Learning (cs.LG)</td> </tr><tr> <td class="tablecell label">Cite as:</td> <td class="tablecell arxivid"><span class="arxivid"><a href="https://arxiv.org/abs/2101.11589">arXiv:2101.11589</a> [hep-ex]</span></td> </tr> <tr> <td class="tablecell label"> </td> <td class="tablecell arxividv">(or <span class="arxivid"> <a href="https://arxiv.org/abs/2101.11589v2">arXiv:2101.11589v2</a> [hep-ex]</span> for this version) </td> </tr> <tr> <td class="tablecell label"> </td> <td class="tablecell arxivdoi"> <a href="https://doi.org/10.48550/arXiv.2101.11589" id="arxiv-doi-link">https://doi.org/10.48550/arXiv.2101.11589</a><div class="button-and-tooltip"> <button class="more-info" aria-describedby="more-info-desc-1"> <svg height="15" role="presentation" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 512"><path fill="currentColor" d="M256 8C119.043 8 8 119.083 8 256c0 136.997 111.043 248 248 248s248-111.003 248-248C504 119.083 392.957 8 256 8zm0 110c23.196 0 42 18.804 42 42s-18.804 42-42 42-42-18.804-42-42 18.804-42 42-42zm56 254c0 6.627-5.373 12-12 12h-88c-6.627 0-12-5.373-12-12v-24c0-6.627 5.373-12 12-12h12v-64h-12c-6.627 0-12-5.373-12-12v-24c0-6.627 5.373-12 12-12h64c6.627 0 12 5.373 12 12v100h12c6.627 0 12 5.373 12 12v24z" class=""></path></svg> <span class="visually-hidden">Focus to learn more</span> </button>  <div role="tooltip" id="more-info-desc-1"> <span class="left-corner"></span> arXiv-issued DOI via DataCite</div> </div> </td> </tr> <tr> <td class="tablecell label">Journal reference:</td> <td class="tablecell jref">JINST 16 (2021) P07041</td> </tr> <tr> <td class="tablecell label"> <abbr title="Digital Object Identifier">Related DOI</abbr>: </td> <td class="tablecell doi"><a href="https://doi.org/10.1088/1748-0221/16/07/P07041" data-doi="10.1088/1748-0221/16/07/P07041" class="link-https link-external" rel="external noopener nofollow">https://doi.org/10.1088/1748-0221/16/07/P07041</a>  <div class="button-and-tooltip"> <button class="more-info" aria-describedby="more-info-desc-1"> <svg height="15" role="presentation" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 512"><path fill="currentColor" d="M256 8C119.043 8 8 119.083 8 256c0 136.997 111.043 248 248 248s248-111.003 248-248C504 119.083 392.957 8 256 8zm0 110c23.196 0 42 18.804 42 42s-18.804 42-42 42-42-18.804-42-42 18.804-42 42-42zm56 254c0 6.627-5.373 12-12 12h-88c-6.627 0-12-5.373-12-12v-24c0-6.627 5.373-12 12-12h12v-64h-12c-6.627 0-12-5.373-12-12v-24c0-6.627 5.373-12 12-12h64c6.627 0 12 5.373 12 12v100h12c6.627 0 12 5.373 12 12v24z" class=""></path></svg> <span class="visually-hidden">Focus to learn more</span> </button>  <div role="tooltip" id="more-info-desc-1"> <span class="left-corner"></span> DOI(s) linking to related resources </div> </div> </td> </tr> </table> </div> </div> </div> <div class="submission-history"> <h2>Submission history</h2> From: Mirco H眉nnefeld [<a href="/show-email/c0b77c17/2101.11589" rel="nofollow">view email</a>] <br/> <strong><a href="/abs/2101.11589v1" rel="nofollow">[v1]</a></strong> Wed, 27 Jan 2021 18:34:58 UTC (4,362 KB)<br/> <strong>[v2]</strong> Mon, 26 Jul 2021 09:03:22 UTC (4,916 KB)<br/> </div> </div>  <div class="extra-services"> <div class="full-text"> <a name="other"></a> <span class="descriptor">Full-text links:</span> <h2>Access Paper:</h2> <ul> <div id="download-button-info" hidden> View a PDF of the paper titled A Convolutional Neural Network based Cascade Reconstruction for the IceCube Neutrino Observatory, by R. 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