Test Sets for Jet Anomaly Detection at the LHC
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<strong>Data Description</strong> These datasets are generated as a series of test sets for anomalous jet tagging at the LHC. They include boosted W jets, Top jets, and Higgs jets. Jet transverse momentum is focused around 600 GeV and 1200 GeV (with prefix "pt1200_" in file names). Each file includes 100k original events from MadGraph, but might have slightly less events in the final h5 files due to fatjet pre-selection. Production processes include: pp -> W' -> W (jj) Z(\(\nu \nu\)); \(m_{W} = 59, 80, 120, 174 ~GeV\) pp -> Z' -> t t~; \(m_t=80, 174 ~GeV\) pp -> HH -> (hh) (hh), (h -> bb); \(m_H=174~GeV\), \(m_h = 20, 80 ~GeV\) <strong>Data Generation</strong> Jet samples in this dataset are generated 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 anti-kt algorithm with cone size R=1.0. Leading jet: \(p_T>450 \textrm{GeV}\); sub-leading jet: \(p_T>200 \textrm{GeV}\) <strong>Data Structure</strong> To get jets: f['objects/jets'] For jets, there are two datasets: ['constituents', 'obs']. (jets information is stored with higher-pt jet first) `obs[:, n_j - 1]`: jet four vectors and n-subjettiness for \(n_j\)-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 \(n_j\)-th jet `constituents[:, n_j - 1]`: \(\{ E_i, P_{xi}, P_{yi}, P_{zi}, \textrm{PID}_i\}\) (PID: PDG for tracks; [22] for photon; [0] for neutral hadron) <strong>Extra Notes</strong> Since the dataset is structured as events, for W jet samples, only leading jet is available; while for Top and Higgs jets, leading and sub-leading jets are both valid. One might need to restrict jet \(p_T\) range at use. e.g. to get leading jet constituents: `f["objects/jets/constituents"][:,0]` The file names are self-explanatory on the corresponding generation process.
