Pileup per particle identification
We propose a new method for pileup mitigation by implementing “pileup per particle identification” (PUPPI). For each particle we first define a local shape α which probes the collinear versus soft diffuse structure in the neighborhood of the particle. The former is indicative of particles originatin...
| Main Authors: | , , , |
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| Other Authors: | |
| Format: | Article |
| Language: | en_US |
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Springer-Verlag
2014
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| Online Access: | http://hdl.handle.net/1721.1/92526 |
| _version_ | 1826212608172097536 |
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| author | Bertolini, Daniele Harris, Philip Coleman Low, Matthew Tran, Nhan |
| author2 | Massachusetts Institute of Technology. Center for Theoretical Physics |
| author_facet | Massachusetts Institute of Technology. Center for Theoretical Physics Bertolini, Daniele Harris, Philip Coleman Low, Matthew Tran, Nhan |
| author_sort | Bertolini, Daniele |
| collection | MIT |
| description | We propose a new method for pileup mitigation by implementing “pileup per particle identification” (PUPPI). For each particle we first define a local shape α which probes the collinear versus soft diffuse structure in the neighborhood of the particle. The former is indicative of particles originating from the hard scatter and the latter of particles originating from pileup interactions. The distribution of α for charged pileup, assumed as a proxy for all pileup, is used on an event-by-event basis to calculate a weight for each particle. The weights describe the degree to which particles are pileup-like and are used to rescale their four-momenta, superseding the need for jet-based corrections. Furthermore, the algorithm flexibly allows combination with other, possibly experimental, probabilistic information associated with particles such as vertexing and timing performance. We demonstrate the algorithm improves over existing methods by looking at jet p[subscript T] and jet mass. We also find an improvement on non-jet quantities like missing transverse energy. |
| first_indexed | 2024-09-23T15:29:33Z |
| format | Article |
| id | mit-1721.1/92526 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T15:29:33Z |
| publishDate | 2014 |
| publisher | Springer-Verlag |
| record_format | dspace |
| spelling | mit-1721.1/925262022-09-29T14:46:04Z Pileup per particle identification Bertolini, Daniele Harris, Philip Coleman Low, Matthew Tran, Nhan Massachusetts Institute of Technology. Center for Theoretical Physics Bertolini, Daniele We propose a new method for pileup mitigation by implementing “pileup per particle identification” (PUPPI). For each particle we first define a local shape α which probes the collinear versus soft diffuse structure in the neighborhood of the particle. The former is indicative of particles originating from the hard scatter and the latter of particles originating from pileup interactions. The distribution of α for charged pileup, assumed as a proxy for all pileup, is used on an event-by-event basis to calculate a weight for each particle. The weights describe the degree to which particles are pileup-like and are used to rescale their four-momenta, superseding the need for jet-based corrections. Furthermore, the algorithm flexibly allows combination with other, possibly experimental, probabilistic information associated with particles such as vertexing and timing performance. We demonstrate the algorithm improves over existing methods by looking at jet p[subscript T] and jet mass. We also find an improvement on non-jet quantities like missing transverse energy. United States. Dept. of Energy (Cooperative Research Agreement DE-FG02-05ER41360) U.S. LHC Theory Initiative (Graduate Fellowship) Istituto nazionale di fisica nucleare (INFN) (Bruno Rossi Fellowship) 2014-12-29T17:28:05Z 2014-12-29T17:28:05Z 2014-10 2014-08 Article http://purl.org/eprint/type/JournalArticle 1029-8479 1126-6708 http://hdl.handle.net/1721.1/92526 Bertolini, Daniele, Philip Harris, Matthew Low, and Nhan Tran. “Pileup Per Particle Identification.” J. High Energ. Phys. 2014, no. 10 (October 2014). en_US http://dx.doi.org/10.1007/jhep10(2014)059 Journal of High Energy Physics Creative Commons Attribution http://creativecommons.org/licenses/by/4.0/ application/pdf Springer-Verlag Springer-Verlag |
| spellingShingle | Bertolini, Daniele Harris, Philip Coleman Low, Matthew Tran, Nhan Pileup per particle identification |
| title | Pileup per particle identification |
| title_full | Pileup per particle identification |
| title_fullStr | Pileup per particle identification |
| title_full_unstemmed | Pileup per particle identification |
| title_short | Pileup per particle identification |
| title_sort | pileup per particle identification |
| url | http://hdl.handle.net/1721.1/92526 |
| work_keys_str_mv | AT bertolinidaniele pileupperparticleidentification AT harrisphilipcoleman pileupperparticleidentification AT lowmatthew pileupperparticleidentification AT trannhan pileupperparticleidentification |