Pileup per particle identification
Abstract
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 pT and jet mass. As a result, we also find an improvement on non-jet quantities like missing transverse energy.
- Authors:
-
- Massachusetts Inst. of Technology (MIT), Cambridge, MA (United States)
- European Organization for Nuclear Research (CERN), Geneva (Switzerland)
- Univ. of Chicago, Chicago, IL (United States)
- Fermi National Accelerator Lab. (FNAL), Batavia, IL (United States)
- Publication Date:
- Research Org.:
- Fermi National Accelerator Laboratory (FNAL), Batavia, IL (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC), High Energy Physics (HEP)
- OSTI Identifier:
- 1226280
- Report Number(s):
- FERMILAB-PUB-14-238-PPD; MIT-CTP-4558; EFI-14-18
Journal ID: ISSN 1029-8479; arXiv eprint number arXiv:1407.6013; TRN: US1500539
- Grant/Contract Number:
- AC02-07CH11359
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Journal of High Energy Physics (Online)
- Additional Journal Information:
- Journal Name: Journal of High Energy Physics (Online); Journal Volume: 2014; Journal ID: ISSN 1029-8479
- Publisher:
- Springer Berlin
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 72 PHYSICS OF ELEMENTARY PARTICLES AND FIELDS; jets; hadronic colliders
Citation Formats
Bertolini, Daniele, Harris, Philip, Low, Matthew, and Tran, Nhan. Pileup per particle identification. United States: N. p., 2014.
Web. doi:10.1007/JHEP10(2014)059.
Bertolini, Daniele, Harris, Philip, Low, Matthew, & Tran, Nhan. Pileup per particle identification. United States. https://doi.org/10.1007/JHEP10(2014)059
Bertolini, Daniele, Harris, Philip, Low, Matthew, and Tran, Nhan. Thu .
"Pileup per particle identification". United States. https://doi.org/10.1007/JHEP10(2014)059. https://www.osti.gov/servlets/purl/1226280.
@article{osti_1226280,
title = {Pileup per particle identification},
author = {Bertolini, Daniele and Harris, Philip and Low, Matthew and Tran, Nhan},
abstractNote = {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 pT and jet mass. As a result, we also find an improvement on non-jet quantities like missing transverse energy.},
doi = {10.1007/JHEP10(2014)059},
journal = {Journal of High Energy Physics (Online)},
number = ,
volume = 2014,
place = {United States},
year = {Thu Oct 09 00:00:00 EDT 2014},
month = {Thu Oct 09 00:00:00 EDT 2014}
}
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