Test sets for jet anomaly detection at the LHC

Data Description

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.  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); \(m_H=174~GeV\), \(m_h = 20, 80 ~GeV\)

Data Generation

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: \(p_T>200 \textrm{GeV}\)

Data Structure

• 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 -1) 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 -1) 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) 

Extra Notes

• 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.