Published April 2019 | Version Submitted + Published
Journal Article Open

Identification of Long-lived Charged Particles using Time-Of-Flight Systems at the Upgraded LHC detectors

  • 1. ROR icon California Institute of Technology

Abstract

We study the impact of precision timing detection systems on the LHC experiments' long-lived particle search program during the HL-LHC era. We develop algorithms that allow us to reconstruct the mass of such charged particles and perform particle identification using the time-of-flight measurement. We investigate the reach for benchmark scenarios as a function of the timing resolution, and find sensitivity improvement of up to a factor of ten over searches that use ionization energy loss information, depending on the particle's mass.

Additional Information

© 2019 The Author(s). This article is distributed under the terms of the Creative Commons Attribution License (CC-BY 4.0), which permits any use, distribution and reproduction in any medium, provided the original author(s) and source are credited. Received: July 30, 2018; Revised: January 16, 2019; Accepted: February 14, 2019; Published: April 4, 2019. This work has been supported by funding from California Institute of Technology High Energy Physics under Contract DE-SC0011925 with the United States Department of Energy. We thank Cliff Cheung, Lindsey Grey, Artur Apresyan, Maurizio Pierini, Josh Bendavid, Jonathan Lewis, the CMS MTD group, and the CMS Caltech group for very useful discussions and suggestions. MS is grateful to Henry Frisch for many years discussions on precision timing systems and PID of heavy exotic particles.

Attached Files

Published - Cerri2019_Article_IdentificationOfLong-livedChar.pdf

Submitted - 1807.05453.pdf

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Additional details

Identifiers

Eprint ID
90379
Resolver ID
CaltechAUTHORS:20181023-143723254

Related works

Funding

Caltech
Department of Energy (DOE)
DE-SC0011925
SCOAP3

Dates

Created
2018-10-23
Created from EPrint's datestamp field
Updated
2021-11-16
Created from EPrint's last_modified field

Caltech Custom Metadata

Caltech groups
CMS@Caltech