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Studies in Developing a Particle Flow Algorithm for the New CMS Forward Calorimetry Upgrade

Title: Studies in Developing a Particle Flow Algorithm for the New CMS Forward Calorimetry Upgrade.
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Name(s): Black, Hampton, author
Department of Physics
Type of Resource: text
Genre: Text
Issuance: serial
Date Issued: 2014
Physical Form: computer
online resource
Extent: 1 online resource
Language(s): English
Abstract/Description: This thesis covers comparison studies for the Shashlik calorimeter, one of three possible electromagnetic calorimeter (ECAL) upgrades for the CMS detector at CERN. Currently, the lead tungstate crystals are doing very well; however, when the LHC will increase the total integrated luminosity, the crystals in the forward end-cap will eventually become severely damaged from radiation, which is why scientists are investigating possible replacements. The methods used involved developing a Particle Flow algorithm, in hopes of getting better results and increased accuracy when the number of interactions per proton bunch crossing (instantaneous luminosity) increases from 30 to 140. The Particle Flow algorithm could give improvement on the resolution in the high intensity environment compared to simpler algorithms. The Particle Flow algorithm being tested is still under development. Comparisons between three different clustering algorithms for the simplest case of electrons are presented. Initial studies of pions are also shown. The resolution for electrons is found to be around 6-8% for energies greater than 200 GeV.
Identifier: FSU_migr_uhm-0396 (IID)
Keywords: CMS, CERN, Particle Flow, Particle Physics, Thesis, FSU, Shashlik
Submitted Note: A Thesis submitted to the Department of Physics in partial fulfillment of the requirements for graduation with Honors in the Major.
Degree Awarded: Spring Semester, 2014.
Date of Defense: April 16, 2014.
Subject(s): Particles (Nuclear physics)
String models
Persistent Link to This Record: http://purl.flvc.org/fsu/fd/FSU_migr_uhm-0396
Restrictions on Access: http://creativecommons.org/licenses/by/4.0/
Owner Institution: FSU
Is Part of Series: Honors Theses.

Choose the citation style.
Black, H. (2014). Studies in Developing a Particle Flow Algorithm for the New CMS Forward Calorimetry Upgrade. Retrieved from http://purl.flvc.org/fsu/fd/FSU_migr_uhm-0396