Published February 11, 2022
| Version v1
Dataset
Open
Particle-based Fast Jet Simulation at the LHC with Variational Autoencoders: generator-level and reconstruction-level jets dataset
Creators
- 1. National and Kapodistrian University of Athens
- 2. European Organization for Nuclear Research (CERN)
- 3. University of California San Diego
- 4. Universidade Estadual Paulista
- 5. California Institute of Technology
Description
Jets at generator and reconstruction level saved in .npy format.
Each jet is represented as an array of jet constituents characterized by their particle momentum in Cartesian coordinates, i.e., (px, py, pz). For both generator-level and reconstruction-level jets, jet constituents are ordered by decreasing pT.
The shape of the datasets is [N, 50, 3], where N is the total number of jets, 50 is the number of particles per jet, and 3 is the number of particle features (in order): [px, py, pz].
About 1.7M jets split into training, validation and testing sets at 60%, 20% and 20% respectively.
Files
Files
(2.1 GB)
| Name | Size | Download all |
|---|---|---|
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md5:a4c5ca96ce8d01c23cf6f3f327c3ae30
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1.0 GB | Download |
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md5:b37a82d5c94420dc95b452423ca11911
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1.0 GB | Download |