Identifying boosted objects with N-subjettiness and linear k-means clustering
Thesis (S.B.)--Massachusetts Institute of Technology, Dept. of Physics; and, (S.B.)--Massachusetts Institute of Technology, Dept. of Mathematics, 2011.
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| Format: | Thesis |
| Language: | eng |
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Massachusetts Institute of Technology
2011
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| Online Access: | http://hdl.handle.net/1721.1/65536 |
| _version_ | 1826203286293708800 |
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| author | Van Tilburg, Ken |
| author2 | Jesse Thaler. |
| author_facet | Jesse Thaler. Van Tilburg, Ken |
| author_sort | Van Tilburg, Ken |
| collection | MIT |
| description | Thesis (S.B.)--Massachusetts Institute of Technology, Dept. of Physics; and, (S.B.)--Massachusetts Institute of Technology, Dept. of Mathematics, 2011. |
| first_indexed | 2024-09-23T12:34:15Z |
| format | Thesis |
| id | mit-1721.1/65536 |
| institution | Massachusetts Institute of Technology |
| language | eng |
| last_indexed | 2024-09-23T12:34:15Z |
| publishDate | 2011 |
| publisher | Massachusetts Institute of Technology |
| record_format | dspace |
| spelling | mit-1721.1/655362019-04-11T06:06:39Z Identifying boosted objects with N-subjettiness and linear k-means clustering Van Tilburg, Ken Jesse Thaler. Massachusetts Institute of Technology. Dept. of Mathematics. Massachusetts Institute of Technology. Dept. of Physics. Massachusetts Institute of Technology. Dept. of Mathematics. Physics. Mathematics. Thesis (S.B.)--Massachusetts Institute of Technology, Dept. of Physics; and, (S.B.)--Massachusetts Institute of Technology, Dept. of Mathematics, 2011. Cataloged from PDF version of thesis. Includes bibliographical references (p. 57-59). In this thesis, I explore aspects of a new jet shape - N-subjettiness - designed to identify boosted hadronically-decaying objects (with a particular focus on tagging top quarks) at particle accelerators such as the Large Hadron Collider. Combined with an invariant mass cut on jets, N-subjettiness is a powerful discriminating variable for tagging boosted objects such as top quarks and rejecting the fake background of QCD jets with large invariant mass. In a crossover analysis, the N-subjettiness method is found to outperform the common top tagging methods of the BOOST2010 conference, with top tagging efficiencies of 50% and 20% against mistag rates of 4.0% and 0.19%, respectively. The N-subjettiness values are calculated using a new infrared- and collinear-safe minimization procedure which I call the linear k-means clustering algorithm. As a true jet shape with highly effective tagging performances, N-subjettiness has many advantages on the experimental as well as on the theoretical side. by Ken Van Tilburg. S.B. 2011-08-30T15:47:23Z 2011-08-30T15:47:23Z 2011 2011 Thesis http://hdl.handle.net/1721.1/65536 746925556 eng M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 59 p. application/pdf Massachusetts Institute of Technology |
| spellingShingle | Physics. Mathematics. Van Tilburg, Ken Identifying boosted objects with N-subjettiness and linear k-means clustering |
| title | Identifying boosted objects with N-subjettiness and linear k-means clustering |
| title_full | Identifying boosted objects with N-subjettiness and linear k-means clustering |
| title_fullStr | Identifying boosted objects with N-subjettiness and linear k-means clustering |
| title_full_unstemmed | Identifying boosted objects with N-subjettiness and linear k-means clustering |
| title_short | Identifying boosted objects with N-subjettiness and linear k-means clustering |
| title_sort | identifying boosted objects with n subjettiness and linear k means clustering |
| topic | Physics. Mathematics. |
| url | http://hdl.handle.net/1721.1/65536 |
| work_keys_str_mv | AT vantilburgken identifyingboostedobjectswithnsubjettinessandlinearkmeansclustering |