dc.contributor.advisor | Jesse Thaler. | en_US |
dc.contributor.author | Naik, Preksha. | en_US |
dc.contributor.other | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science. | en_US |
dc.date.accessioned | 2019-11-22T00:04:01Z | |
dc.date.available | 2019-11-22T00:04:01Z | |
dc.date.copyright | 2019 | en_US |
dc.date.issued | 2019 | en_US |
dc.identifier.uri | https://hdl.handle.net/1721.1/123044 | |
dc.description | This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections. | en_US |
dc.description | Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2019 | en_US |
dc.description | Cataloged from student-submitted PDF version of thesis. | en_US |
dc.description | Includes bibliographical references (pages 65-70). | en_US |
dc.description.abstract | 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. | en_US |
dc.description.statementofresponsibility | by Preksha Naik. | en_US |
dc.format.extent | 70 pages | en_US |
dc.language.iso | eng | en_US |
dc.publisher | Massachusetts Institute of Technology | en_US |
dc.rights | 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. | en_US |
dc.rights.uri | http://dspace.mit.edu/handle/1721.1/7582 | en_US |
dc.subject | Electrical Engineering and Computer Science. | en_US |
dc.title | Exploring the space of jets with CMS Open Data | en_US |
dc.type | Thesis | en_US |
dc.description.degree | M. Eng. | en_US |
dc.contributor.department | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science | en_US |
dc.identifier.oclc | 1127911573 | en_US |
dc.description.collection | M.Eng. Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science | en_US |
dspace.imported | 2019-11-22T00:04:00Z | en_US |
mit.thesis.degree | Master | en_US |
mit.thesis.department | EECS | en_US |