Single-jet datasets for particle reconstruction with deep learning
收藏NIAID Data Ecosystem2026-03-14 收录
下载链接：
https://zenodo.org/record/7699681
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资源简介：
Training and test datasets used for [1]* .
singleQuarkJet_train.root : N=60649
singleQuarkJet_test.root: N=38922
singleGluonJet_test.root: N=38295
The events are formed by a single initial state quark or gluon followed by parton shower generated in Pythia8 and then simulated using GEANT4 in a nearly-hermetic 6-layer calorimeter system as described in [1,2]. The branches in the ROOT files store features associated with cells, tracks, particles, pflow objects, jets, as well as edge lists for creating a graph representation of each event.
*Note that subsets of N=50000 and N=30000 were used from the train and test samples, respectively, for the results in [1].
[1] Reconstructing particles in jets using set transformer and hypergraph prediction networks
[2] Configurable Calorimeter Simulation for AI (COCOA)
创建时间：
2023-03-19
