Search for heavy, long-lived, charged particles with large ionisation energy loss in pp collisions at √s = 13 TeV using the ATLAS experiment and the full Run 2 dataset

ATLAS Collaboration, Phil Allport, Panagiotis Bellos, Gareth Bird, Juraj Bracinik, David Charlton, Andrew Chisholm, Tobias Fitschen, William George, Laura Gonella, Chris Hawkes, Jacob Kempster, Antonio Manuel Mendes Jacques Da Costa, Thomas Neep, Paul Newman, Konstantinos Nikolopoulos, Alexis Stampekis, Jurgen Thomas, Paul Thompson, Gov VirdeeRobert Ward, Alan Watson, Miriam Watson

Research output: Contribution to journalArticlepeer-review

107 Downloads (Pure)

Abstract

This paper presents a search for hypothetical massive, charged, long-lived particles with the ATLAS detector at the LHC using an integrated luminosity of 139 fb−1 of proton--proton collisions at √s = 13 TeV. These particles are expected to move significantly slower than the speed of light and should be identifiable by their high transverse momenta and anomalously large specific ionisation losses, dE/dx. Trajectories reconstructed solely by the inner tracking system and a dE/dx measurement in the pixel detector layers provide sensitivity to particles with lifetimes down to O(1) ns with a mass, measured using the Bethe--Bloch relation, ranging from 100 GeV to 3 TeV. Interpretations for pair-production of R-hadrons, charginos and staus in scenarios of supersymmetry compatible with these particles being long-lived are presented, with mass limits extending considerably beyond those from previous searches in broad ranges of lifetime.
Original languageEnglish
Article number158
Number of pages59
JournalJHEP
Volume2023
Issue number6
DOIs
Publication statusPublished - 26 Jun 2023

Keywords

  • Beyond Standard Model
  • Exotics
  • Hadron-Hadron Scattering
  • Supersymmetry

Fingerprint

Dive into the research topics of 'Search for heavy, long-lived, charged particles with large ionisation energy loss in pp collisions at √s = 13 TeV using the ATLAS experiment and the full Run 2 dataset'. Together they form a unique fingerprint.

Cite this