Z'/QCD Jets for Mass Generalisation

A collection of 10 Z'/QCD jet datasets used in <em>Meta-learning and data augmentation for mass-generalised jet taggers</em>. Each dataset contains 500K Z' jets and 500K QCD jets. <strong>Simulation</strong> Events are simulated with <em>MadGraph5 2.8.0</em>, showered in <em>Pythia 8.244</em>, then passed to <em>Delphes 3.4.2</em> with the default CMS card. For the signal, we use a simple Z' model from <em>FeynRules</em>. In each event, the leading \(R=1\) anti-kt jet is selected.<strong> </strong> <strong>Cuts</strong> Parton-level cuts of \(|\eta_J|, |\eta_{Z'}|&lt;2.0\) and \(\not\!\!E_T&gt;1.2\) TeV are applied in <em>MadGraph</em>. Cuts of \(|m_J-m_{Z'}|&lt;m_{Z'}/4\) and \(p_{T}&gt;1.2\) TeV are applied after detector simulation. <strong>Preprocessing</strong> Jets are preprocessed by first translating all constituents in the rapidity-azimuth plane such that the leading constituent lies at the origin. A rotation is then applied to position the centre of momentum below the origin. <strong>Format</strong> Each jet is stored as a list of constituent information in the format \((p_T/p_{T,J}, \eta', \phi', g(\texttt{pdg_id}))\) where \(\eta'\) and \(\phi'\) respectively denote pseudorapidity and azimuthal angle coordinates after the mentioned transformations and \(g\) maps Particle Data Group Monte Carlo identifiers to small floats. Specifically: <strong>Particle</strong> \(\gamma\) \(e^+\) \(e^-\) \(\mu^+\) \(\mu^-\) Neutral Hadron \(\pi^-\) \(\pi^+\) \(K^-\) \(K^+\) \(\bar{p}\) \(p\) pdg_id 22 -11 11 -13 13 0 -211 211 -321 321 -2212 2212 g( pdg_id ) 0.05 0.15 0.25 0.35 0.45 0.55 0.65 0.75 0.85 0.95 1.05 1.15 The arrays are serialised and saved in <em>TFRecord</em> format allowing for efficient interfacing with <em>Tensorflow. </em>To avoid<em> </em>memory issues associated with loading a large number of datasets, each dataset is split into 100 shards.