Publication:

Searching for heavy, charged, long-lived particles via ionization energy loss and time-of-flight in the ATLAS detector using 140 fb$^{−1}$ of $\sqrt{s}$ = 13 TeV proton-proton collision data

Loading...
Thumbnail Image

Date

2023-06-01

Published Version

Published Version

Journal Title

Journal ISSN

Volume Title

Publisher

The Harvard community has made this article openly available. Please share how this access benefits you.

Research Projects

Organizational Units

Journal Issue

Citation

Fortman, Anne Winifred. 2023. Searching for heavy, charged, long-lived particles via ionization energy loss and time-of-flight in the ATLAS detector using 140 fb$^{−1}$ of $\sqrt{s}$ = 13 TeV proton-proton collision data. Doctoral dissertation, Harvard University Graduate School of Arts and Sciences.

Abstract

Many extensions to the Standard Model predict the existence of new, massive, long-lived particles. Such heavy particles produced in proton-proton collisions at center-of-mass energy $\sqrt{s}$ = 13 TeV are expected to move significantly slower than the speed of light as they traverse a detector. As a charged particle passes through a material, the amount of energy it loses via ionization is related to its speed. This property can be used to identify slow-moving particles. A heavy, charged, long-lived particle should be identifiable in a detector as a trajectory with high momentum and anomalously large ionization energy loss. The first search for heavy, charged particles using ionization energy loss in the full ATLAS Run 2 dataset observed an excess with a global significance of 3.3$\sigma$ at high mass. We discuss these results and present a followup search for slow-moving particles in 140 fb$^{-1}$ of ATLAS Run 2 data. This new search expands the analysis strategy by incorporating a second measure of particle speed, time-of-flight measurements, to significantly reduce background and improve sensitivity to heavy, charged, long-lived particles. Results are interpreted in terms of supersymmetric models that predict long-lived gluinos, charginos, and sleptons.

Description

Other Available Sources

Research Data

Keywords

ATLAS, High energy experiment, Large Hadron Collider, Particle physics

Terms of Use

This article is made available under the terms and conditions applicable to Other Posted Material (LAA), as set forth at Terms of Service

Endorsement

Review

Supplemented By

Related Stories