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Search for heavy charged long-lived particles in the ATLAS detector in 36.1 fb- 1 of proton-proton collision data at vs =13 TeV
journal contribution
posted on 2023-06-09, 18:51 authored by N L Abraham, Benedict AllbrookeBenedict Allbrooke, Lily AsquithLily Asquith, Alessandro CerriAlessandro Cerri, Samuel Jones, Antonella De SantoAntonella De Santo, Fabrizio SalvatoreFabrizio Salvatore, Kate ShawKate Shaw, Thomas StevensonThomas Stevenson, K Suruliz, Mark SuttonMark Sutton, Fabio Tresoldi, Fabrizio Trovato, Iacopo Vivarelli, E Winkels, The ATLAS Collaboration, othersA search for heavy charged long-lived particles is performed using a data sample of 36.1 fb-1 of proton-proton collisions at vs =13 TeV collected by the ATLAS experiment at the Large Hadron Collider. The search is based on observables related to ionization energy loss and time of flight, which are sensitive to the velocity of heavy charged particles traveling significantly slower than the speed of light. Multiple search strategies for a wide range of lifetimes, corresponding to path lengths of a few meters, are defined as model independently as possible, by referencing several representative physics cases that yield long-lived particles within supersymmetric models, such as gluinos/squarks (R-hadrons), charginos and staus. No significant deviations from the expected Standard Model background are observed. Upper limits at 95% confidence level are provided on the production cross sections of long-lived R-hadrons as well as directly pair produced staus and charginos. These results translate into lower limits on the masses of long-lived gluino, sbottom and stop R-hadrons, as well as staus and charginos of 2000, 1250, 1340, 430, and 1090 GeV, respectively.
History
Publication status
- Published
File Version
- Published version
Journal
Physical Review DISSN
2470-0010Publisher
American Physical SocietyExternal DOI
Issue
9Volume
99Page range
092007 1-34Department affiliated with
- Physics and Astronomy Publications
Full text available
- Yes
Peer reviewed?
- Yes