QCD Jet Samples with Particle Flow Constituents

Data Description QCD jet samples for anomalous jet tagging at the LHC. 705,643 events are stored with the fatjet selection criteria applied. Four vectors and the particle identification codes for jet constituents are recorded and a few high-level features are provided. Data Generation Jet samples in this dataset are generated in the QCD di-jet production process \(p p \to j j\) with MadGraph, Pythia8, and Delphes (no pile-up effects simulated). Particle flow objects are used to cluster jets. FastJet was used for jet clustering. Jets are clustered using the anti-kt algorithm with the cone size R=1.0. Leading jet: \(p_T>450 \, \textrm{GeV}\); sub-leading jet: \(p_T>200\, \textrm{GeV}\) Data Structure To get jets: f['objects/jets'] For jets, there are two datasets: ['constituents', 'obs']. (jets information is stored with the higher-pt jet first) `obs[:, n_j - 1]`: jet four vectors and n-subjettiness for the \(n_j\)-th jet (pt, eta, phi, m, tau1, tau2, tau3, tau4, tau5) pt-sorted (highest first) jet constituents information are stored in variable length arrays for the \(n_j\)-th jet `constituents[:, n_j - 1]`: \(\{ E_i, P_{xi}, P_{yi}, P_{zi}, \textrm{PID}_i\}\) (PID: PDG for tracks; [22] for photons; [0] for neutral hadrons) Extra Notes Quick access: get leading jet constituents with `f["objects/jets/constituents"][:, 0]`