LHC physics dataset for unsupervised New Physics detection at 40 MHz

Ekaterina Govorkova; Ema Puljak; Thea Aarrestad; Maurizio Pierini; Kinga Anna Woźniak; Jennifer Ngadiuba

doi:10.1038/s41597-022-01187-8

Scientific Data (Mar 2022)

LHC physics dataset for unsupervised New Physics detection at 40 MHz

Ekaterina Govorkova,
Ema Puljak,
Thea Aarrestad,
Maurizio Pierini,
Kinga Anna Woźniak,
Jennifer Ngadiuba

Affiliations

Ekaterina Govorkova: European Organization for Nuclear Research (CERN)
Ema Puljak: European Organization for Nuclear Research (CERN)
Thea Aarrestad: European Organization for Nuclear Research (CERN)
Maurizio Pierini: European Organization for Nuclear Research (CERN)
Kinga Anna Woźniak: European Organization for Nuclear Research (CERN)
Jennifer Ngadiuba: Fermi National Accelerator Laboratory

DOI: https://doi.org/10.1038/s41597-022-01187-8
Journal volume & issue: Vol. 9, no. 1
pp. 1 – 7

Abstract

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Measurement(s) Simulations of LHC collisions in real-time processing data format Technology Type(s) PYTHIA, DELPHES, private python code Factor Type(s) phi • eta • pT

Published in Scientific Data

ISSN: 2052-4463 (Online)
Publisher: Nature Portfolio
Country of publisher: United Kingdom
LCC subjects: Science
Website: https://www.nature.com/sdata/

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