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Search for Long-Lived Particles Usin...

McDermott, Kevin Patrick.

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Search for Long-Lived Particles Using Delayed Photons in Proton-Proton Collisions at 13 TeV with the CMS Detector.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Search for Long-Lived Particles Using Delayed Photons in Proton-Proton Collisions at 13 TeV with the CMS Detector./
作者:	McDermott, Kevin Patrick.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2019,
面頁冊數:	207 p.
附註:	Source: Dissertations Abstracts International, Volume: 81-08, Section: B.
Contained By:	Dissertations Abstracts International81-08B.
標題:	Particle physics. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=27664878
ISBN:	9781392800829

Search for Long-Lived Particles Using Delayed Photons in Proton-Proton Collisions at 13 TeV with the CMS Detector.
McDermott, Kevin Patrick.

Search for Long-Lived Particles Using Delayed Photons in Proton-Proton Collisions at 13 TeV with the CMS Detector. - Ann Arbor : ProQuest Dissertations & Theses, 2019 - 207 p.

Source: Dissertations Abstracts International, Volume: 81-08, Section: B.

Thesis (Ph.D.)--Cornell University, 2019.

This item must not be sold to any third party vendors.

This dissertation presents a search for long-lived particles using delayed photons in proton-proton collisions at √s = 13 TeV recorded by the Compact Muon Solenoid (CMS) experiment at the CERN Large Hadron Collider in 2017, corresponding to an integrated luminosity of 41.5 fb−1. This analysis includes a number of unique components that will be discussed: a dedicated signal trigger, out-of-time photon reconstruction and identification, and a detector time resolution measurement. The results of this search include the combination of a related analysis using data collected in 2016 also at √s = 13 TeV, corresponding to a combined integrated luminosity of 77.4 fb−1. The combined results are interpreted in the context of supersymmetry with gauge-mediated supersymmetry breaking, where the neutralino is long-lived and decays to a photon and a gravitino. Limits are presented as a function of the neutralino proper decay length and mass. For neutralino proper decay lengths of 101, 102, 103, and 104 cm, masses up to 320, 525, 360, and215 GeV are excluded at 95% confidence level, respectively.Additionally, a discussion on a high-performance computing upgrade to CMS, known as mkFit, will be presented. mkFit is an on-going effort to exploit highly parallel computer architectures in vectorizing and parallelizing combinatorial Kalman filter charged particle track reconstruction algorithms. The current physics and computational performance of this project will be discussed.

ISBN: 9781392800829Subjects--Topical Terms:

3433269
Particle physics.
Subjects--Index Terms:

Compact Muon Solenoid

Search for Long-Lived Particles Using Delayed Photons in Proton-Proton Collisions at 13 TeV with the CMS Detector.
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506 $a This item must not be sold to any third party vendors.
520 $a This dissertation presents a search for long-lived particles using delayed photons in proton-proton collisions at √s = 13 TeV recorded by the Compact Muon Solenoid (CMS) experiment at the CERN Large Hadron Collider in 2017, corresponding to an integrated luminosity of 41.5 fb−1. This analysis includes a number of unique components that will be discussed: a dedicated signal trigger, out-of-time photon reconstruction and identification, and a detector time resolution measurement. The results of this search include the combination of a related analysis using data collected in 2016 also at √s = 13 TeV, corresponding to a combined integrated luminosity of 77.4 fb−1. The combined results are interpreted in the context of supersymmetry with gauge-mediated supersymmetry breaking, where the neutralino is long-lived and decays to a photon and a gravitino. Limits are presented as a function of the neutralino proper decay length and mass. For neutralino proper decay lengths of 101, 102, 103, and 104 cm, masses up to 320, 525, 360, and215 GeV are excluded at 95% confidence level, respectively.Additionally, a discussion on a high-performance computing upgrade to CMS, known as mkFit, will be presented. mkFit is an on-going effort to exploit highly parallel computer architectures in vectorizing and parallelizing combinatorial Kalman filter charged particle track reconstruction algorithms. The current physics and computational performance of this project will be discussed.
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