Event-Based Anomaly Detection for Searches for New Physics

Chekanov, Sergei; Hopkins, Walter

doi:10.3390/universe8100494

Event-Based Anomaly Detection for Searches for New Physics

Journal Article · Wed Sep 21 00:00:00 EDT 2022 · Universe

DOI:https://doi.org/10.3390/universe8100494· OSTI ID:1960719

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Argonne National Lab. (ANL), Argonne, IL (United States)

This paper discusses model-agnostic searches for new physics at the Large Hadron Collider using anomaly-detection techniques for the identification of event signatures that deviate from the Standard Model (SM). We investigate anomaly detection in the context of a machine-learning approach based on autoencoders. The analysis uses Monte Carlo simulations for the SM background and several selected exotic models. We also investigate the input space for the event-based anomaly detection and illustrate the shapes of invariant masses in the outlier region which will be used to perform searches for resonant phenomena beyond the SM. Challenges and conceptual limitations of this approach are discussed.

View Accepted Manuscript (DOE)

Research Organization:: Argonne National Laboratory (ANL), Argonne, IL (United States)

Sponsoring Organization:: USDOE Office of Science (SC), High Energy Physics (HEP)

Grant/Contract Number:: AC02-06CH11357

OSTI ID:: 1960719

Journal Information:: Universe, Journal Name: Universe Journal Issue: 10 Vol. 8; ISSN 2218-1997

Publisher:: MDPICopyright Statement

Country of Publication:: United States

Language:: English

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