Exploring the space of jets with CMS Open Data
This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
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| Format: | Thesis |
| Language: | eng |
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Massachusetts Institute of Technology
2019
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| Online Access: | https://hdl.handle.net/1721.1/123044 |
| _version_ | 1826191168150437888 |
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| author | Naik, Preksha. |
| author2 | Jesse Thaler. |
| author_facet | Jesse Thaler. Naik, Preksha. |
| author_sort | Naik, Preksha. |
| collection | MIT |
| description | This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections. |
| first_indexed | 2024-09-23T08:51:21Z |
| format | Thesis |
| id | mit-1721.1/123044 |
| institution | Massachusetts Institute of Technology |
| language | eng |
| last_indexed | 2024-09-23T08:51:21Z |
| publishDate | 2019 |
| publisher | Massachusetts Institute of Technology |
| record_format | dspace |
| spelling | mit-1721.1/1230442019-11-22T03:42:52Z Exploring the space of jets with CMS Open Data Naik, Preksha. Jesse Thaler. Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science. Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science Electrical Engineering and Computer Science. This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections. Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2019 Cataloged from student-submitted PDF version of thesis. Includes bibliographical references (pages 65-70). We conduct two physics studies on the space of jets using the CMS 2011 Open Data, experimental data of 7 TeV proton-proton collisions from the 2011 Run at the Large Hadron Collider released by the CMS collaboration for public use. Our first study uses the Energy Mover's Distance (EMD), a metric that quantifies the similarity in radiation pattern between two jets. This metric allows us to perform novel visualizations of the data including embedding the data into low-dimensional spaces and providing us a new method for quantifying detector effects. Our second study applies the jet topics method to find separate quark and gluon observable distributions. This method is closely related to topic modeling, a statistical model in natural language processing to find topics in a collection of documents. Lastly, we release a sample of over 800,000 high-quality jets from the 2011 run as well as the accompanying jets from the CMS-provided Monte Carlo samples. The aim of this release is to allow future physics studies to bypass the time-consuming steps of processing and validating the CMS Open Data. by Preksha Naik. M. Eng. M.Eng. Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science 2019-11-22T00:04:01Z 2019-11-22T00:04:01Z 2019 2019 Thesis https://hdl.handle.net/1721.1/123044 1127911573 eng 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. http://dspace.mit.edu/handle/1721.1/7582 70 pages application/pdf Massachusetts Institute of Technology |
| spellingShingle | Electrical Engineering and Computer Science. Naik, Preksha. Exploring the space of jets with CMS Open Data |
| title | Exploring the space of jets with CMS Open Data |
| title_full | Exploring the space of jets with CMS Open Data |
| title_fullStr | Exploring the space of jets with CMS Open Data |
| title_full_unstemmed | Exploring the space of jets with CMS Open Data |
| title_short | Exploring the space of jets with CMS Open Data |
| title_sort | exploring the space of jets with cms open data |
| topic | Electrical Engineering and Computer Science. |
| url | https://hdl.handle.net/1721.1/123044 |
| work_keys_str_mv | AT naikpreksha exploringthespaceofjetswithcmsopendata |