Published April 9, 2022
| Version v1
Dataset
Open
Datasets for Simulation-based Anomaly Detection for Multileptons at the LHC
Authors/Creators
- 1. Princeton University
- 2. Lawrence Berkeley National Laboratory
Description
The simulated background and signal data used for a signal model agnostic machine learning search. This search examined the decay of the Higgs boson to leptons working off of LHC data from the Atlas experiment. Details are provided in the paper entitled "Simulation-based Anomaly Detection for Multileptons at the LHC".
Files
Files
(1.6 MB)
| Name | Size | Download all |
|---|---|---|
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md5:8743eaa392910bc0afddf4f1e1086968
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755.0 kB | Download |
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md5:df2f2dfa24849528d5d4dcd10e7724eb
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184.9 kB | Download |
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md5:ceef1a30de50895ecebfacac9dcaf4d1
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234.9 kB | Download |
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md5:65b1e0f2ef852fb0784bae05937f7c24
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404.6 kB | Download |
Additional details
Related works
- Is described by
- arXiv:2203.09601 (arXiv)