Dataset Open Access

Top Quark Tagging Reference Dataset

Kasieczka, Gregor; Plehn, Tilman; Thompson, Jennifer; Russel, Michael


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    <dct:description>&lt;p&gt;A set of MC simulated training/testing events for the evaluation of top quark tagging architectures.&lt;/p&gt; &lt;p&gt;In total 1.2M training events, 400k validation events and 400k test events. Use &amp;ldquo;train&amp;rdquo; for training, &amp;ldquo;val&amp;rdquo; for validation during the training and &amp;ldquo;test&amp;rdquo; for final testing and reporting results.&lt;/p&gt; &lt;p&gt;&lt;strong&gt;Description&lt;/strong&gt;&lt;/p&gt; &lt;ul&gt; &lt;li&gt; &lt;p&gt;14 TeV, hadronic tops for signal, qcd diets background, Delphes ATLAS detector card with Pythia8&lt;/p&gt; &lt;/li&gt; &lt;li&gt; &lt;p&gt;No MPI/pile-up included&lt;/p&gt; &lt;/li&gt; &lt;li&gt; &lt;p&gt;Clustering of&amp;nbsp; particle-flow entries (produced by Delphes E-flow) into anti-kT 0.8 jets in the pT range [550,650] GeV&lt;/p&gt; &lt;/li&gt; &lt;li&gt; &lt;p&gt;All top jets are matched to a parton-level top within ∆R = 0.8, and to all top decay partons within 0.8&lt;/p&gt; &lt;/li&gt; &lt;li&gt; &lt;p&gt;Jets are required to have |eta| &amp;lt; 2&lt;/p&gt; &lt;/li&gt; &lt;li&gt; &lt;p&gt;The leading 200 jet constituent four-momenta are stored, with zero-padding for jets with fewer than 200&lt;/p&gt; &lt;/li&gt; &lt;li&gt; &lt;p&gt;Constituents are sorted by pT, with the highest pT one first&lt;/p&gt; &lt;/li&gt; &lt;li&gt; &lt;p&gt;The truth top four-momentum is stored as truth_px etc.&lt;/p&gt; &lt;/li&gt; &lt;li&gt; &lt;p&gt;A flag (1 for top, 0 for QCD) is kept for each jet. It is called is_signal_new&lt;/p&gt; &lt;/li&gt; &lt;li&gt; &lt;p&gt;The variable &amp;quot;ttv&amp;quot; (= test/train/validation) is kept for each jet. It indicates to which dataset the jet belongs. It is redundant as the different sets are already distributed as different files.&lt;/p&gt; &lt;/li&gt; &lt;/ul&gt;</dct:description>
    <dct:description>{"references": ["Butter, Anja; Kasieczka, Gregor; Plehn, Tilman and Russell, Michael (2017). Based on data from 10.21468/SciPostPhys.5.3.028 (1707.08966)", "Kasieczka, Gregor et al (2019). Dataset used for arXiv:1902.09914 (The Machine Learning Landscape of Top Taggers)"]}</dct:description>
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