Fermilab LHC Physics Center Machine Learning Hands-On Advanced Tutorial Session Datasets
收藏资源简介：
The dataset jet_raw.tar.gz contains a sample of 2011 CMS Open Simulation in numpy arrays. The columns correspond to <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> Each row is a separate anti-k<sub>T</sub> R=0.7 (AK7) jet. The code to produce the numpy arrays is located at https://doi.org/10.5281/zenodo.3901871 The dataset jet_images.h5 contains preprocessed 2D jet images. The datasets ntuple_4mu_bkg.root, ntuple_4mu_gg.root, and 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.
