Pileup per particle identification
Name
Bertolini-2014-Pileup per particle.pdf
Size
567.12 KB
Format
Adobe PDF
Checksum (MD5)
39097044f3b30932777d3e383a1f8e43
Author(s)
Bertolini, Daniele
Harris, Philip Coleman
Low, Matthew
Tran, Nhan
Date Issued
October 2014
Journal
Journal of High Energy Physics
Publisher
Springer-Verlag
Citation
Bertolini, Daniele, Philip Harris, Matthew Low, and Nhan Tran. “Pileup Per Particle Identification.” J. High Energ. Phys. 2014, no. 10 (October 2014).
Version
Final published version
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 p[subscript T] and jet mass. We also find an improvement on non-jet quantities like missing transverse energy.
MIT Department
Massachusetts Institute of Technology. Center for Theoretical Physics
Terms of Use
Creative Commons Attribution
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1007/jhep10(2014)059
