Pileup mitigation at CMS in 13 TeV data
© 2020 CERN for the benefit of the CMS collaboration.. With increasing instantaneous luminosity at the LHC come additional reconstruction challenges. At high luminosity, many collisions occur simultaneously within one proton-proton bunch crossing. The isolation of an interesting collision from the a...
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| Format: | Article |
| Language: | English |
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IOP Publishing
2021
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| Online Access: | https://hdl.handle.net/1721.1/133695 |
| _version_ | 1826193773245235200 |
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| author | The CMS Collaboration |
| author2 | Massachusetts Institute of Technology. Department of Physics |
| author_facet | Massachusetts Institute of Technology. Department of Physics The CMS Collaboration |
| author_sort | The CMS Collaboration |
| collection | MIT |
| description | © 2020 CERN for the benefit of the CMS collaboration.. With increasing instantaneous luminosity at the LHC come additional reconstruction challenges. At high luminosity, many collisions occur simultaneously within one proton-proton bunch crossing. The isolation of an interesting collision from the additional "pileup"collisions is needed for effective physics performance. In the CMS Collaboration, several techniques capable of mitigating the impact of these pileup collisions have been developed. Such methods include charged-hadron subtraction, pileup jet identification, isospin-based neutral particle "δβ"correction, and, most recently, pileup per particle identification. This paper surveys the performance of these techniques for jet and missing transverse momentum reconstruction, as well as muon isolation. The analysis makes use of data corresponding to 35.9 fb-1 collected with the CMS experiment in 2016 at a center-of-mass energy of 13 TeV. The performance of each algorithm is discussed for up to 70 simultaneous collisions per bunch crossing. Significant improvements are found in the identification of pileup jets, the jet energy, mass, and angular resolution, missing transverse momentum resolution, and muon isolation when using pileup per particle identification. |
| first_indexed | 2024-09-23T09:44:40Z |
| format | Article |
| id | mit-1721.1/133695 |
| institution | Massachusetts Institute of Technology |
| language | English |
| last_indexed | 2024-09-23T09:44:40Z |
| publishDate | 2021 |
| publisher | IOP Publishing |
| record_format | dspace |
| spelling | mit-1721.1/1336952023-01-06T20:12:11Z Pileup mitigation at CMS in 13 TeV data The CMS Collaboration Massachusetts Institute of Technology. Department of Physics Massachusetts Institute of Technology. Laboratory for Nuclear Science © 2020 CERN for the benefit of the CMS collaboration.. With increasing instantaneous luminosity at the LHC come additional reconstruction challenges. At high luminosity, many collisions occur simultaneously within one proton-proton bunch crossing. The isolation of an interesting collision from the additional "pileup"collisions is needed for effective physics performance. In the CMS Collaboration, several techniques capable of mitigating the impact of these pileup collisions have been developed. Such methods include charged-hadron subtraction, pileup jet identification, isospin-based neutral particle "δβ"correction, and, most recently, pileup per particle identification. This paper surveys the performance of these techniques for jet and missing transverse momentum reconstruction, as well as muon isolation. The analysis makes use of data corresponding to 35.9 fb-1 collected with the CMS experiment in 2016 at a center-of-mass energy of 13 TeV. The performance of each algorithm is discussed for up to 70 simultaneous collisions per bunch crossing. Significant improvements are found in the identification of pileup jets, the jet energy, mass, and angular resolution, missing transverse momentum resolution, and muon isolation when using pileup per particle identification. 2021-10-27T19:54:11Z 2021-10-27T19:54:11Z 2020 2021-03-19T15:13:38Z Article http://purl.org/eprint/type/JournalArticle https://hdl.handle.net/1721.1/133695 en 10.1088/1748-0221/15/09/P09018 Journal of Instrumentation Creative Commons Attribution 4.0 International license https://creativecommons.org/licenses/by/4.0/ application/pdf IOP Publishing IOP Publishing |
| spellingShingle | The CMS Collaboration Pileup mitigation at CMS in 13 TeV data |
| title | Pileup mitigation at CMS in 13 TeV data |
| title_full | Pileup mitigation at CMS in 13 TeV data |
| title_fullStr | Pileup mitigation at CMS in 13 TeV data |
| title_full_unstemmed | Pileup mitigation at CMS in 13 TeV data |
| title_short | Pileup mitigation at CMS in 13 TeV data |
| title_sort | pileup mitigation at cms in 13 tev data |
| url | https://hdl.handle.net/1721.1/133695 |
| work_keys_str_mv | AT thecmscollaboration pileupmitigationatcmsin13tevdata |