Jet substructure studies with CMS open data
We use public data from the CMS experiment to study the two-prong substructure of jets. The CMS open data are based on 31.8 pb^{-1} of 7 TeV proton-proton collisions recorded at the Large Hadron Collider in 2010, yielding a sample of 768,687 events containing a high-quality central jet with transve...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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American Physical Society
2018
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| Online Access: | http://hdl.handle.net/1721.1/117100 https://orcid.org/0000-0002-6809-7545 https://orcid.org/0000-0002-3181-4301 https://orcid.org/0000-0002-9675-7133 https://orcid.org/0000-0002-2406-8160 |
| _version_ | 1811080757375926272 |
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| author | Tripathee, Aashish Xue, Wei Larkoski, Andrew Marzani, Simone Thaler, Jesse |
| author2 | Massachusetts Institute of Technology. Department of Physics |
| author_facet | Massachusetts Institute of Technology. Department of Physics Tripathee, Aashish Xue, Wei Larkoski, Andrew Marzani, Simone Thaler, Jesse |
| author_sort | Tripathee, Aashish |
| collection | MIT |
| description | We use public data from the CMS experiment to study the two-prong substructure of jets. The CMS open data are based on 31.8 pb^{-1} of 7 TeV proton-proton collisions recorded at the Large Hadron Collider in 2010, yielding a sample of 768,687 events containing a high-quality central jet with transverse momentum larger than 85 GeV. Using CMS’s particle flow reconstruction algorithm to obtain jet constituents, we extract the two-prong substructure of the leading jet using soft-drop declustering. We find good agreement between results obtained from the CMS open data and those obtained from parton shower generators, and we also compare to analytic jet substructure calculations performed to modified leading-logarithmic accuracy. Although the 2010 CMS open data do not include simulated data to help estimate systematic uncertainties, we use track-only observables to validate these substructure studies. |
| first_indexed | 2024-09-23T11:35:59Z |
| format | Article |
| id | mit-1721.1/117100 |
| institution | Massachusetts Institute of Technology |
| language | English |
| last_indexed | 2024-09-23T11:35:59Z |
| publishDate | 2018 |
| publisher | American Physical Society |
| record_format | dspace |
| spelling | mit-1721.1/1171002022-09-27T20:39:55Z Jet substructure studies with CMS open data Tripathee, Aashish Xue, Wei Larkoski, Andrew Marzani, Simone Thaler, Jesse Massachusetts Institute of Technology. Department of Physics Tripathee, Aashish Xue, Wei Larkoski, Andrew Marzani, Simone Thaler, Jesse We use public data from the CMS experiment to study the two-prong substructure of jets. The CMS open data are based on 31.8 pb^{-1} of 7 TeV proton-proton collisions recorded at the Large Hadron Collider in 2010, yielding a sample of 768,687 events containing a high-quality central jet with transverse momentum larger than 85 GeV. Using CMS’s particle flow reconstruction algorithm to obtain jet constituents, we extract the two-prong substructure of the leading jet using soft-drop declustering. We find good agreement between results obtained from the CMS open data and those obtained from parton shower generators, and we also compare to analytic jet substructure calculations performed to modified leading-logarithmic accuracy. Although the 2010 CMS open data do not include simulated data to help estimate systematic uncertainties, we use track-only observables to validate these substructure studies. Massachusetts Institute of Technology. Charles E. Reed Faculty Initiatives Fund United States. Department of Energy (Contracts No. DE-SC-00012567) United States. Department of Energy (Contracts No. DE-SC-00015476) National Science Foundation (U.S.) (Grant No. PHY-1419008, the LHC Theory Initiative) National Science Foundation (U.S.) (Grant No. PHY-0969510, the LHC Theory Initiative) National Science Foundation (U.S.) (Grant No. PHY-1619867) Massachusetts Institute of Technology. Undergraduate Research Opportunities Program 2018-07-25T13:15:34Z 2018-07-25T13:15:34Z 2017-10 2017-05 2017-11-14T22:45:10Z Article http://purl.org/eprint/type/JournalArticle 2470-0010 2470-0029 http://hdl.handle.net/1721.1/117100 Tripathee, Asshish, Wei Xue, Andrew Larkoski, Simone Marzani and Jesse Thaler. "Jet substructure studies with CMS open data." Physical Review D, 96, no. 7 (October 2017): 074003-1 to 074003-33. https://orcid.org/0000-0002-6809-7545 https://orcid.org/0000-0002-3181-4301 https://orcid.org/0000-0002-9675-7133 https://orcid.org/0000-0002-2406-8160 en http://dx.doi.org/10.1103/PhysRevD.96.074003 Physical Review D Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. American Physical Society application/pdf American Physical Society American Physical Society |
| spellingShingle | Tripathee, Aashish Xue, Wei Larkoski, Andrew Marzani, Simone Thaler, Jesse Jet substructure studies with CMS open data |
| title | Jet substructure studies with CMS open data |
| title_full | Jet substructure studies with CMS open data |
| title_fullStr | Jet substructure studies with CMS open data |
| title_full_unstemmed | Jet substructure studies with CMS open data |
| title_short | Jet substructure studies with CMS open data |
| title_sort | jet substructure studies with cms open data |
| url | http://hdl.handle.net/1721.1/117100 https://orcid.org/0000-0002-6809-7545 https://orcid.org/0000-0002-3181-4301 https://orcid.org/0000-0002-9675-7133 https://orcid.org/0000-0002-2406-8160 |
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