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High level features for LHC Olympics 2020 R&D Dataset

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Zenodo2020-03-30 更新2026-04-07 收录
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资源简介:

High level feature sets for the LHC Olympics 2020 R&D dataset. import pandas as pd features_sig=pd.read_hdf("LHCORD_sig_features.h5") features_sig.keys() ['pxj1', 'pyj1', 'pzj1', 'mj1', 'tau1j1', 'tau2j1', 'tau3j1', 'pxj2', 'pyj2', 'pzj2', 'mj2', 'tau1j2', 'tau2j2', 'tau3j2'] The features are the 3-momenta, invariant masses and N-jettiness variables (tau^1, tau^2, tau^3) for the two leading R=1 jets in each event. These were computed using fastjet v3.3.0.

提供机构:
Rutgers University
创建时间:
2020-03-30
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