Reconstructing jets in the Phase-2 upgrade of the CMS Level-1 Trigger with a seeded cone algorithm

<!DOCTYPE html> <html xml:lang="en-gb" lang="en-gb" dir="ltr"> <head> <meta name="viewport" content="width=device-width, initial-scale=1.0, shrink-to-fit=no"> <base href="https://www.epj-conferences.org/articles/epjconf/abs/2024/05/epjconf_chep2024_02024/epjconf_chep2024_02024.html" /> <meta http-equiv="content-type" content="text/html; charset=utf-8" /> <meta name="keywords" content="conference, proceedings, physics, astronomy, The European Physical Journal, EPJ" /> <meta name="robots" content="index, follow, noarchive" /> <meta name="description" content="EPJ Web of Conferences, open-access proceedings in physics and astronomy" /> <title>Reconstructing jets in the Phase-2 upgrade of the CMS Level-1 Trigger with a seeded cone algorithm | EPJ Web of Conferences</title> <link rel="stylesheet" href="/libraries/jquery/jquery.multiselect.css" type="text/css" /> <link rel="stylesheet" href="/libraries/jquery/jquery.qtip/jquery.qtip.min.css" type="text/css" /> <link rel="stylesheet" href="/libraries/jquery/jquery.magnific-popup.css" type="text/css" /> <link rel="stylesheet" href="/p/jquery.php/ui/1.12.0/themes/base/jquery-ui.css" type="text/css" /> <link rel="stylesheet" href="/templates/template1/css/com_article.css" type="text/css" /> <link rel="stylesheet" href="/templates/template1/css/com_article_hljs_github.min.css" type="text/css" /> <link rel="stylesheet" href="/templates/template1/css/mod_article_bookmarking.css" type="text/css" /> <link rel="stylesheet" href="/templates/template1/css/mod_solr.css" type="text/css" /> <script src="/p/jquery.php/jquery-3.1.0.min.js" type="text/javascript"></script> <script src="/plugins/system/jqueryeasy/jquerynoconflict.js" type="text/javascript"></script> <script src="/p/jquery.php/ui/1.12.0/jquery-ui.min.js" type="text/javascript"></script> <script src="/libraries/jquery/jquery.multiselect.min.js" type="text/javascript"></script> <script src="/libraries/jquery/jquery.qtip/jquery.qtip.min.js" type="text/javascript"></script> <script src="/libraries/jquery/jquery.magnific-popup.min.js" type="text/javascript"></script> <script src="https://www.epj-conferences.org/components/com_article/assets/js/highlight/highlight.min.js" type="text/javascript"></script> <script src="https://www.epj-conferences.org/components/com_article/assets/js/article.js" type="text/javascript"></script> <script src="https://www.epj-conferences.org/components/com_article/assets/js/highlight/highlight.js" type="text/javascript"></script> <script src="https://www.googletagmanager.com/gtag/js?id=G-S2LKMZBHJL" type="text/javascript"></script> <script src="/modules/mod_article_bookmarking/assets/js/bookmarking.js" type="text/javascript"></script> <script src="/libraries/jquery/jquery.autocomplete.js" type="text/javascript"></script> <script type="text/javascript"> var ARTICLE_CLICK_VIEW = "Click to view fullscreen"; 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We have developed a jet reconstruction algorithm using a cone centred on an energetic seed from these Particle Flow candidates. The implementation is designed to find up to 16 jets in each Xilinx Ultrascale+ FPGA, with a latency of less than 1 碌s, and event throughput of 6.7 MHz to fit within the L1T system constraints. Pipelined processing enables reconstruction of jet collections with different cone sizes for little additional resource cost. The design of the algorithm also provides a platform for additional computation using the jet constituents, such as jet tagging using neural networks. We will describe the implementation, its jet reconstruction performance, computational metrics, and the developments towards jet tagging."> <meta name="citation_reference" content="CMS Collaboration, Tech. rep. (2020), https://cds.cern.ch/record/2714892"> <meta name="citation_reference" content="CMS Collaboration, Tech. rep. 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href="/articles/epjconf/abs/2024/05/contents/contents.html" class="pathway">Volume 295 (2024)</a> <img src="/media/system/images/arrow.png" alt="" /> <a href="/articles/epjconf/abs/2024/05/epjconf_chep2024_02024/epjconf_chep2024_02024.html" class="pathway">EPJ Web of Conf., 295 (2024) 02024</a> <img src="/media/system/images/arrow.png" alt="" /> <span>Abstract</span></div> <div id="content" class="id-101 full"> <div> <nav class="nav-article nav-buttons"> <ul class="menu"> <li class="item-265 deeper parent"><span class="separator">Browse</span> <ul><li class="item-246"><a href="/component/issues/?task=all" >All issues</a></li><li class="item-249"><a href="https://www.webofconferences.org/epj-web-of-conferences-forthcoming-conferences" >Forthcoming</a></li><li class="item-329"><a href="/browse/series" >Series</a></li></ul></li><li class="item-243 deeper parent"><span class="separator">About the journal</span> <ul><li class="item-278"><a href="/about-the-journal/aims-and-scope" >Aims and 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colspan="3" class="sep_issue"></td></tr> </tr> <tr> <th> Article Number </th> <td></td> <td>02024</td> </tr> <tr> <th> Number of page(s) </th> <td></td> <td>8</td> </tr> <tr> <th>Section</th> <td></td> <td>Online Computing</td> </tr> <tr> <th>DOI</th> <td></td> <td> <a href="https://doi.org/10.1051/epjconf/202429502024"> https://doi.org/10.1051/epjconf/202429502024 </a> </td> </tr> <tr> <th>Published online</th> <td></td> <td> 06 May 2024 </td> </tr> </table> </div> <div id="article"> <!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN"> <div id="contenu-min"> <div id="head">EPJ Web of Conferences <b>295</b>, 02024 (2024)<br><a href="https://doi.org/10.1051/epjconf/202429502024" target="_blank">https://doi.org/10.1051/epjconf/202429502024</a><h2 class="title">Reconstructing jets in the Phase-2 upgrade of the CMS Level-1 Trigger with a seeded cone algorithm</h2> <div class="article-authors"><p class="bold"><span id="epjconf_chep2024_02024-author-1" data-url="/component/author/?dkey=10.1051/epjconf/202429502024&n=1" class="author">Sioni Summers</span><sup>1</sup><sup>*</sup>, <span id="epjconf_chep2024_02024-author-2" data-url="/component/author/?dkey=10.1051/epjconf/202429502024&n=2" class="author">Ioannis Bestintzanos</span><sup>2</sup><sup>,1</sup> and <span id="epjconf_chep2024_02024-author-3" data-url="/component/author/?dkey=10.1051/epjconf/202429502024&n=3" class="author">Giovanni Petrucciani</span><sup>1</sup> on behalf of the CMS Collaboration</p></div> <p class="aff"><sup>1</sup> CERN Geneva, Switzerland <br><sup>2</sup> University of Ioannina Ioannina, Greece <br></p> <p class="corresp"><sup>*</sup> e-mail: <a href="mailto:sioni@cern.ch">sioni@cern.ch</a><br></p> <p class="history"><span class="bold">Published online: </span>6 May 2024</p> <p class="bold"><a name="abs"></a>Abstract</p> <p>The Phase-2 Upgrade of the CMS Level-1 Trigger (L1T) will reconstruct particles using the Particle Flow algorithm, connecting information from the tracker, muon, and calorimeter detectors, and enabling fine-grained reconstruction of high level physics objects like jets. We have developed a jet reconstruction algorithm using a cone centred on an energetic seed from these Particle Flow candidates. The implementation is designed to find up to 16 jets in each Xilinx Ultrascale+ FPGA, with a latency of less than 1 µs, and event throughput of 6.7 MHz to fit within the L1T system constraints. Pipelined processing enables reconstruction of jet collections with different cone sizes for little additional resource cost. The design of the algorithm also provides a platform for additional computation using the jet constituents, such as jet tagging using neural networks. We will describe the implementation, its jet reconstruction performance, computational metrics, and the developments towards jet tagging.</p> </div> <p><i>© The Authors, published by EDP Sciences, 2024</i></p> <div class="license"> <p><a rel="license" href="https://creativecommons.org/licenses/by/4.0/"><img alt="Licence Creative Commons" src="https://i.creativecommons.org/l/by/4.0/88x31.png"></a>This is an Open Access article distributed under the terms of the <a href="https://creativecommons.org/licenses/by/4.0/" target="_blank">Creative Commons Attribution License 4.0</a>, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</p> </div> </div> </div> <div id="metrics-tabs" data-doi="10.1051/epjconf/202429502024" data-edps_ref="epjconf_chep2024_02024"> <nav class="toolbar"> <button class="toolbar-item" id="metrics-siq">Current usage metrics</button> <button class="toolbar-item" id="info">About article metrics</button> <button class="toolbar-item" id="return">Return to article</button> </nav> <div class="panel" data-for="metrics-siq"> </div> <div class="panel" data-for="metrics-alm"></div> <div class="panel" data-for="info"> <p>Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.</p> <p>Data correspond to usage on the plateform after 2015. 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