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HYTREES : combining matrix elements and parton shower for hypothesis testing

Prestel, Stefan LU and Spannowsky, Michael (2019) In European Physical Journal C 79(7).
Abstract

We present a new way of performing hypothesis tests on scattering data, by means of a perturbatively calculable classifier. This classifier exploits the “history tree” of how the measured data point might have evolved out of any simpler (reconstructed) points along classical paths, while explicitly keeping quantum–mechanical interference effects by copiously employing complete leading-order matrix elements. This approach extends the standard Matrix Element Method to an arbitrary number of final state objects and to exclusive final states where reconstructed objects can be collinear or soft. We have implemented this method into the standalone package hytrees and have applied it to Higgs boson production in association with two jets, with... (More)

We present a new way of performing hypothesis tests on scattering data, by means of a perturbatively calculable classifier. This classifier exploits the “history tree” of how the measured data point might have evolved out of any simpler (reconstructed) points along classical paths, while explicitly keeping quantum–mechanical interference effects by copiously employing complete leading-order matrix elements. This approach extends the standard Matrix Element Method to an arbitrary number of final state objects and to exclusive final states where reconstructed objects can be collinear or soft. We have implemented this method into the standalone package hytrees and have applied it to Higgs boson production in association with two jets, with subsequent decay into photons. hytrees allows to construct an optimal classifier to discriminate this process from large Standard Model backgrounds. It further allows to find the most sensitive kinematic regions that contribute to the classification.

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Please use this url to cite or link to this publication:
author
organization
publishing date
type
Contribution to journal
publication status
published
subject
in
European Physical Journal C
volume
79
issue
7
publisher
Springer
external identifiers
  • scopus:85068027903
ISSN
1434-6044
DOI
10.1140/epjc/s10052-019-7030-y
language
English
LU publication?
yes
id
25cc9052-15de-480d-add8-853408d40bc3
date added to LUP
2019-07-09 12:02:52
date last changed
2019-08-20 17:06:15
@article{25cc9052-15de-480d-add8-853408d40bc3,
  abstract     = {<p>We present a new way of performing hypothesis tests on scattering data, by means of a perturbatively calculable classifier. This classifier exploits the “history tree” of how the measured data point might have evolved out of any simpler (reconstructed) points along classical paths, while explicitly keeping quantum–mechanical interference effects by copiously employing complete leading-order matrix elements. This approach extends the standard Matrix Element Method to an arbitrary number of final state objects and to exclusive final states where reconstructed objects can be collinear or soft. We have implemented this method into the standalone package hytrees and have applied it to Higgs boson production in association with two jets, with subsequent decay into photons. hytrees allows to construct an optimal classifier to discriminate this process from large Standard Model backgrounds. It further allows to find the most sensitive kinematic regions that contribute to the classification.</p>},
  articleno    = {546},
  author       = {Prestel, Stefan and Spannowsky, Michael},
  issn         = {1434-6044},
  language     = {eng},
  number       = {7},
  publisher    = {Springer},
  series       = {European Physical Journal C},
  title        = {HYTREES : combining matrix elements and parton shower for hypothesis testing},
  url          = {http://dx.doi.org/10.1140/epjc/s10052-019-7030-y},
  volume       = {79},
  year         = {2019},
}