Identification of heavy, energetic, hadronically decaying particles using machine-learning techniques

Albert M Sirunyan; Armen Tumasyan; Wolfgang Adam; Federico Ambrogi; Thomas Bergauer; Marko Dragicevic; Janos Erö; Alberto Escalante del Valle; Martin Flechl; Rudolf Fruehwirth; Manfred Jeitler; Natascha Krammer; Ilse Krätschmer; Dietrich Liko; Thomas Madlener; Ivan Mikulec; Navid Rad; Jochen Schieck; Robert Schöfbeck; Markus Spanring; Wolfgang Waltenberger; Claudia-Elisabeth Wulz; Mateusz Zarucki; Vladimir Drugakov; Vladimir Mossolov; Juan Suarez Gonzalez; Mohamed Rashad Darwish; Eddi A de Wolf; Davide Di Croce; Xavier Janssen; Aleksandra Lelek; Maxim Pieters; Haifa Rejeb Sfar; Hans van Haevermaet; Pierre van Mechelen; Senne van Putte; Nick van Remortel; Freya Blekman; Emil Sørensen Bols; Simranjit Singh Chhibra; Jorgen d'Hondt; Jarne de Clercq; Denys Lontkovskyi; Steven Lowette; Ivan Marchesini; Seth Moortgat; Quentin Python; Kirill Skovpen; Stefaan Tavernier; Walter van Doninck; Petra van Mulders; Diego Beghin; Bugra Bilin; Barbara Clerbaux; Gilles de Lentdecker; Hugo Delannoy; Brian Dorney; Laurent Favart; Anastasia Grebenyuk; Amandeep Kaur Kalsi; Louis Moureaux; Andrey Popov; Nicolas Postiau; Elizabeth Starling; Laurent Thomas; Catherine Vander Velde; Pascal Vanlaer; David Vannerom; Tom Cornelis; Didar Dobur; Illia Khvastunov; Marek Niedziela; Christos Roskas; Michael Tytgat; Willem Verbeke; Basile Vermassen; Martina Vit; Olivier Bondu; Giacomo Bruno; Claudio Caputo; Pieter David; Christophe Delaere; Martin Delcourt; Andrea Giammanco; Vincent Lemaitre; Jessica Prisciandaro; Alessia Saggio; Miguel Vidal Marono; Pietro Vischia; Joze Zobec; Fábio Lúcio Alves; Gilvan Alves; Gilson Correia Silva; Carsten Hensel; Arthur Moraes; Patricia Rebello Teles; Ewerton Belchior Batista das Chagas; Wagner Carvalho; Jose Chinellato; Eduardo Coelho; CMS Collaboration; John Chou

doi:10.1088/1748-0221/15/06/P06005

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Identification of heavy, energetic, hadronically decaying particles using machine-learning techniques

Journal article

Peer reviewed

Identification of heavy, energetic, hadronically decaying particles using machine-learning techniques

Albert M Sirunyan, Armen Tumasyan, Wolfgang Adam, Federico Ambrogi, Thomas Bergauer, Marko Dragicevic, Janos Erö, Alberto Escalante del Valle, Martin Flechl, Rudolf Fruehwirth, …

JINST, Vol.15(6), pp.P06005-P06005

2020

DOI: https://doi.org/10.1088/1748-0221/15/06/P06005

Abstract

High Energy Physics - Experiment

Instrumentation and Detectors

Physics

Machine-learning (ML) techniques are explored to identify and classify hadronic decays of highly Lorentz-boosted W/Z/Higgs bosons and top quarks. Techniques without ML have also been evaluated and are included for comparison. The identification performances of a variety of algorithms are characterized in simulated events and directly compared with data. The algorithms are validated using proton-proton collision data at s = 13TeV, corresponding to an integrated luminosity of 35.9 fb−1. Systematic uncertainties are assessed by comparing the results obtained using simulation and collision data. The new techniques studied in this paper provide significant performance improvements over non-ML techniques, reducing the background rate by up to an order of magnitude at the same signal efficiency.

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Title: Identification of heavy, energetic, hadronically decaying particles using machine-learning techniques
Creators: Albert M Sirunyan
Armen Tumasyan
Wolfgang Adam - Austrian Academy of Sciences
Federico Ambrogi - Austrian Academy of Sciences
Thomas Bergauer - Austrian Academy of Sciences
Marko Dragicevic - Austrian Academy of Sciences
Janos Erö - Austrian Academy of Sciences
Alberto Escalante del Valle
Martin Flechl - Austrian Academy of Sciences
Rudolf Fruehwirth
Manfred Jeitler - Austrian Academy of Sciences
Natascha Krammer - Austrian Academy of Sciences
Ilse Krätschmer - Austrian Academy of Sciences
Dietrich Liko - Austrian Academy of Sciences
Thomas Madlener - Austrian Academy of Sciences
Ivan Mikulec - Austrian Academy of Sciences
Navid Rad - Austrian Academy of Sciences
Jochen Schieck - Austrian Academy of Sciences
Robert Schöfbeck - Austrian Academy of Sciences
Markus Spanring - Austrian Academy of Sciences
Wolfgang Waltenberger - Austrian Academy of Sciences
Claudia-Elisabeth Wulz - Austrian Academy of Sciences
Mateusz Zarucki - Austrian Academy of Sciences
Vladimir Drugakov - Belarusian State University
Vladimir Mossolov - Belarusian State University
Juan Suarez Gonzalez
Mohamed Rashad Darwish - University of Antwerp
Eddi A de Wolf - University of Antwerp
Davide Di Croce - University of Antwerp
Xavier Janssen - University of Antwerp
Aleksandra Lelek - University of Antwerp
Maxim Pieters - University of Antwerp
Haifa Rejeb Sfar
Hans van Haevermaet - University of Antwerp
Pierre van Mechelen - University of Antwerp
Senne van Putte - University of Antwerp
Nick van Remortel - University of Antwerp
Freya Blekman - Vrije Universiteit Brussel
Emil Sørensen Bols - Vrije Universiteit Brussel
Simranjit Singh Chhibra - Vrije Universiteit Brussel
Jorgen d'Hondt - Vrije Universiteit Brussel
Jarne de Clercq - Vrije Universiteit Brussel
Denys Lontkovskyi - Vrije Universiteit Brussel
Steven Lowette - Vrije Universiteit Brussel
Ivan Marchesini - Vrije Universiteit Brussel
Seth Moortgat - Vrije Universiteit Brussel
Quentin Python - Vrije Universiteit Brussel
Kirill Skovpen - Vrije Universiteit Brussel
Stefaan Tavernier - Vrije Universiteit Brussel
Walter van Doninck - Vrije Universiteit Brussel
Petra van Mulders - Vrije Universiteit Brussel
Diego Beghin - Université Libre de Bruxelles
Bugra Bilin - Université Libre de Bruxelles
Barbara Clerbaux - Université Libre de Bruxelles
Gilles de Lentdecker - Université Libre de Bruxelles
Hugo Delannoy - Université Libre de Bruxelles
Brian Dorney - Université Libre de Bruxelles
Laurent Favart - Université Libre de Bruxelles
Anastasia Grebenyuk - Université Libre de Bruxelles
Amandeep Kaur Kalsi - Université Libre de Bruxelles
Louis Moureaux - Université Libre de Bruxelles
Andrey Popov - Université Libre de Bruxelles
Nicolas Postiau - Université Libre de Bruxelles
Elizabeth Starling - Université Libre de Bruxelles
Laurent Thomas - Université Libre de Bruxelles
Catherine Vander Velde
Pascal Vanlaer - Université Libre de Bruxelles
David Vannerom - Université Libre de Bruxelles
Tom Cornelis - Ghent University
Didar Dobur - Ghent University
Illia Khvastunov - Ghent University
Marek Niedziela - Ghent University
Christos Roskas - Ghent University
Michael Tytgat - Ghent University
Willem Verbeke - Ghent University
Basile Vermassen - Ghent University
Martina Vit - Ghent University
Olivier Bondu - UCLouvain
Giacomo Bruno - UCLouvain
Claudio Caputo - UCLouvain
Pieter David
Christophe Delaere - UCLouvain
Martin Delcourt - UCLouvain
Andrea Giammanco - UCLouvain
Vincent Lemaitre - UCLouvain
Jessica Prisciandaro - UCLouvain
Alessia Saggio - UCLouvain
Miguel Vidal Marono
Pietro Vischia - UCLouvain
Joze Zobec - UCLouvain
Fábio Lúcio Alves
Gilvan Alves
Gilson Correia Silva
Carsten Hensel
Arthur Moraes
Patricia Rebello Teles
Ewerton Belchior Batista das Chagas
Wagner Carvalho - Universidade do Estado do Rio de Janeiro
Jose Chinellato - Universidade do Estado do Rio de Janeiro
Eduardo Coelho - Universidade do Estado do Rio de Janeiro
CMS Collaboration
John Chou - Physics and Astronomy (SAS)
Publication Details: JINST, Vol.15(6), pp.P06005-P06005
Date published: 2020
Academic Unit: Physics and Astronomy (SAS)
Language: English
Resource Type: Journal article
Identifiers: 991031758991204646