Fermilab LHC Physics Center Machine Learning Hands-On Advanced Tutorial Session Datasets

<p>The dataset jet_raw.tar.gz contains a sample of 2011 CMS Open Simulation in numpy arrays. The columns correspond to</p> <pre><code>['run', 'lumi', 'event', 'met', 'sumet', 'rho', 'pthat', 'mcweight', 'njet_ak7', 'jet_pt_ak7', 'jet_eta_ak7', 'jet_phi_ak7', 'jet_E_ak7', 'jet_msd_ak7', 'jet_area_ak7', 'jet_jes_ak7', 'jet_tau21_ak7', 'jet_isW_ak7', 'jet_ncand_ak7', 'ak7pfcand_ijet']</code></pre> <p>Each row is a separate anti-k_T R=0.7 (AK7)&nbsp;jet. The code to produce the numpy arrays is located at&nbsp;https://doi.org/10.5281/zenodo.3901871</p> <p>The dataset jet_images.h5 contains preprocessed 2D jet images.</p> <p>The datasets ntuple_4mu_bkg.root,&nbsp;ntuple_4mu_gg.root, and&nbsp;ntuple_4mu_VV.root contain simulated LHC events with 4 muons for the background process, gluon fusion Higgs boson production, and vector boson fusion Higgs boson production.</p> <p>&nbsp;</p>