Search for New Phenomena in Two-Body Invariant Mass Distributions Using Unsupervised Machine Learning for Anomaly Detection at √s = 13 TeV with the ATLAS Detector

Publikation: Beitrag in FachzeitschriftForschungsartikelBeigetragenBegutachtung

Beitragende

  • Aix-Marseille Université
  • University of Oklahoma
  • University of Massachusetts
  • Georg-August-Universität Göttingen
  • Royal Holloway University of London
  • Brookhaven National Laboratory
  • Tel Aviv University
  • Technion-Israel Institute of Technology
  • Argonne National Laboratory
  • Pontificia Universidad Católica de Chile
  • National Institute for Nuclear Physics
  • Abdus Salam International Centre for Theoretical Physics
  • King's College London (KCL)
  • Laboratoire d'Annecy-le-Vieux de Physique des Particules LAPP
  • AGH University of Science and Technology
  • University of Toronto
  • Brandeis University
  • Northern Illinois University
  • Istanbul University
  • Universität Genf
  • Rutherford Appleton Laboratory
  • University of California at Santa Cruz
  • Université Paris-Saclay
  • Institut de Física d’Altes Energies (IFAE)
  • Università degli Studi di Pavia
  • Radboud University Nijmegen
  • Alexandru Ioan Cuza University of Iaşi
  • Laboratório de Instrumentação e Física Experimental de Partículas
  • Universidad Autónoma de Madrid

Abstract

Searches for new resonances are performed using an unsupervised anomaly-detection technique. Events with at least one electron or muon are selected from 140 fb−1 of pp collisions at √s ¼ 13 TeV recorded by ATLAS at the Large Hadron Collider. The approach involves training an autoencoder on data, and subsequently defining anomalous regions based on the reconstruction loss of the decoder. Studies focus on nine invariant mass spectra that contain pairs of objects consisting of one light jet or b jet and either one lepton (e; μ), photon, or second light jet or b jet in the anomalous regions. No significant deviations from the background hypotheses are observed. Limits on contributions from generic Gaussian signals with various widths of the resonance mass are obtained for nine invariant masses in the anomalous regions.

Details

OriginalspracheEnglisch
Aufsatznummer081801
Seiten (von - bis)1-23
Seitenumfang23
FachzeitschriftPhysical review letters
Jahrgang132
Ausgabenummer8
PublikationsstatusVeröffentlicht - 20 Feb. 2024
Peer-Review-StatusJa

Externe IDs

PubMed 38457710

Schlagworte

ASJC Scopus Sachgebiete