{"id":{"repo_id":"mit","oai_identifier":"oai:dspace.mit.edu:1721.1/123044"},"canonical_url":"https://search.dev.ndltd.org/etd/mit/oai:dspace.mit.edu:1721.1/123044","repository":{"repo_id":"mit","name":"MIT","base_url":"https://dspace.mit.edu/oai/request"},"display":{"title":"Exploring the space of jets with CMS Open Data","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.","abstract_html":"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.","abstract_has_math":false,"creators":["Naik, Preksha."],"institution":"Massachusetts Institute of Technology","degree_name":"Master","degree_level":null,"degree_discipline":null,"degree_department":"Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science","school":null,"contributors":[],"advisors":["Jesse Thaler."],"committee_chairs":[],"committee_members":[],"year":2019,"date_issued":"2019","date_published":"2019","updated_at":"2026-07-22T22:20:56Z","subjects":["Electrical Engineering and Computer Science."],"languages":["eng"],"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."],"rights_urls":["http://dspace.mit.edu/handle/1721.1/7582"],"identifier_entries":[]},"links":{"outbound_url":"https://hdl.handle.net/1721.1/123044","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor.advisor","label":"Advisor","values":["Jesse Thaler."]},{"key":"dc:contributor.department","label":"Department","values":["Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science","EECS"]},{"key":"dc:contributor.other","label":"Dc Contributor Other","values":["Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science."]},{"key":"dc:creator","label":"Author","values":["Naik, Preksha."]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.accessioned","label":"Dc Date Accessioned","values":["2019-11-22T00:04:01Z"]},{"key":"dc:date.available","label":"Dc Date Available","values":["2019-11-22T00:04:01Z"]},{"key":"dc:date.issued","label":"Date","values":["2019"]},{"key":"dc:publisher","label":"Institution","values":["Massachusetts Institute of Technology"]},{"key":"dc:type","label":"Dc Type","values":["Thesis"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Master"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Electrical Engineering and Computer Science."]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language.iso","label":"Language (ISO)","values":["eng"]},{"key":"dc:rights","label":"Dc Rights","values":["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."]},{"key":"dc:rights.uri","label":"Rights URI","values":["http://dspace.mit.edu/handle/1721.1/7582"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier.uri","label":"Identifier URI","values":["https://hdl.handle.net/1721.1/123044"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["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)."]},{"key":"dc:description.abstract","label":"Abstract","values":["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."]},{"key":"dc:description.degree","label":"Dc Description Degree","values":["M. Eng."]},{"key":"dc:title","label":"Title","values":["Exploring the space of jets with CMS Open Data"]}]}],"canonical_facts":{"dc:contributor.advisor":["Jesse Thaler."],"dc:contributor.department":["Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science","EECS"],"dc:contributor.other":["Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science."],"dc:creator":["Naik, Preksha."],"dc:date.accessioned":["2019-11-22T00:04:01Z"],"dc:date.available":["2019-11-22T00:04:01Z"],"dc:date.issued":["2019"],"dc:description":["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)."],"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."],"dc:description.degree":["M. Eng."],"dc:identifier.uri":["https://hdl.handle.net/1721.1/123044"],"dc:language.iso":["eng"],"dc:publisher":["Massachusetts Institute of Technology"],"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."],"dc:rights.uri":["http://dspace.mit.edu/handle/1721.1/7582"],"dc:subject":["Electrical Engineering and Computer Science."],"dc:title":["Exploring the space of jets with CMS Open Data"],"dc:type":["Thesis"],"thesis:degree_name":["Master"]},"updated_at":"2026-07-22T22:20:56Z"}