| ... | ... | @@ -12,9 +12,13 @@ Each jet consists of constituents, i.e. reconstructed particles that were cluste |
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* Number of constituents: n_constituents
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* Information per constituent: pt, eta, phi, charge sign, track impact parameter dXY and dZ (set to -999 for constituents without track), Energy deposited in EM (constituents_Eem) or hadronic (constituents_Ehad) calorimeter
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The training dataset as root file and python file is stored on the public IML EOS space, which can be accessed from within the CERN network:
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The training dataset as root file and python file is stored on the public IML EOS space, which can be accessed from within the CERN network with eos mount:
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/eos/project/i/iml/IMLChallengeMassRegression/
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/eos/project/i/iml/IMLChallengeMassRegression/
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or through xrootd with kerberos ticket:
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root://eosuser.cern.ch//eos/project/i/iml/IMLChallengeMassRegression/
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The files are now also public for download on Zenodo at the following link:
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