Energy flow polynomials: a complete linear basis for jet substructure
Name
13130_2018_Article_7998.pdf
Size
2.54 MB
Format
Adobe PDF
Checksum (MD5)
0540cf7ee3c74a8918d7304741e615c6
Author(s)
Komiske, Patrick T.
Metodiev, Eric Mario
Thaler, Jesse
Date Issued
April 2018
Journal
Journal of High Energy Physics
Publisher
Springer International Publishing AG
Citation
Komiske, Patrick T. et al. "Energy flow polynomials: a complete linear basis for jet substructure." Journal of High Energy Physics 2018 (April 2018): 13 © 2018 The Author(s)
Version
Final published version
Abstract
We introduce the energy flow polynomials: a complete set of jet substructure observables which form a discrete linear basis for all infrared- and collinear-safe observables. Energy flow polynomials are multiparticle energy correlators with specific angular structures that are a direct consequence of infrared and collinear safety. We establish a powerful graph-theoretic representation of the energy flow polynomials which allows us to design efficient algorithms for their computation. Many common jet observables are exact linear combinations of energy flow polynomials, and we demonstrate the linear spanning nature of the energy flow basis by performing regression for several common jet observables. Using linear classification with energy flow polynomials, we achieve excellent performance on three representative jet tagging problems: quark/gluon discrimination, boosted W tagging, and boosted top tagging. The energy flow basis provides a systematic framework for complete investigations of jet substructure using linear methods. Keywords: Jets; QCD Phenomenology
MIT Department
Massachusetts Institute of Technology. Center for Theoretical Physics
Massachusetts Institute of Technology. Department of Physics
Terms of Use
Creative Commons Attribution
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1007/JHEP04(2018)013
