Published December 1, 2023
| Version v1
Dataset
Open
Herwig dataset for HadML particle GAN training
Authors/Creators
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1.
Lawrence Berkeley National Laboratory
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2.
Jagiellonian University
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3.
University of California, Berkeley
Description
These are the simulation data of hadronization using Herwig 7.2.1 Monte Carlo generator, which uses a cluster hadronization model. They have been used for the HadML particle GAN training and evaluation. Two samples are prepared. One uses a nominal set of hadronization parameters, the other one uses varied parameters which affect both the hadron kinematics and the hadron type distributions. In both samples, each cluster only decays to exactly two hadrons.
The code to read the data and use them for training can be found in https://github.com/hep-lbdl/hadml/releases/tag/2.0.0.
Files
Files
(43.3 GB)
| Name | Size | Download all |
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md5:ddd7a5f7ebea2e79c02abba8422f3713
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21.7 GB | Download |
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md5:00fe7b594972a1fafa2304225236000f
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21.6 GB | Download |