Analyzing CMS open collider data through topic modeling
Name
1132272785-MIT.pdf
Size
6.68 MB
Format
Adobe PDF
Checksum (MD5)
9c91960f7c3481a360ee41f15198adf1
Author(s)
Mastandrea, Radha.
Advisor(s)
Jesse Thaler.
Date Issued
2019
Publisher
Massachusetts Institute of Technology
Abstract
We conduct an investigation of jet substructure at the Large Hadron Collider (LHC) on the CMS Open Data. We analyze a sample of jets detected by the CMS experiment in 2011 with the companion simulated (both pre- and post-detector) jet datasets to demonstrate the ability of our analysis framework to accurately quantify jet substructure observables as well as properly describe the effects of the CMS detector. We move to a specific analysis of jet classification using the unsupervised algorithm of jet topics to provide a new way of defining the categories of quark and gluon jets through their observable properties. We finally outline a means of accessing our sample of 883,431 high quality CMS-detected jets so that other scientists may conduct their own analyses on this sample.
Description
Thesis: S.B., Massachusetts Institute of Technology, Department of Physics, 2019
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 57-60).
Subjects
Physics.
MIT Department
Massachusetts Institute of Technology. Department of Physics
Terms of Use
MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission.
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