Anomaly Detection for Resonant New Physics with Machine Learning

Collins, Jack; Howe, Kiel; Nachman, Benjamin

doi:10.1103/PhysRevLett.121.241803

Anomaly Detection for Resonant New Physics with Machine Learning

Journal Article · Tue Dec 11 23:00:00 EST 2018 · Physical Review Letters

DOI:https://doi.org/10.1103/PhysRevLett.121.241803· OSTI ID:1485531

Collins, Jack; Howe, Kiel; Nachman, Benjamin

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Sponsoring Organization:: USDOE

Grant/Contract Number:: AC02-05CH11231; AC02-07CH11359

OSTI ID:: 1485531

Alternate ID(s):: OSTI ID: 1462217
OSTI ID: 1494114

Journal Information:: Physical Review Letters, Journal Name: Physical Review Letters Journal Issue: 24 Vol. 121; ISSN 0031-9007; ISSN PRLTAO

Publisher:: American Physical SocietyCopyright Statement

Country of Publication:: United States

Language:: English

References (30)

Searches for new particles using cone and cluster jet algorithms: a comparative study Seymour, Michael H. Zeitschrift für Physik C Particles and Fields, Vol. 62, Issue 1 https://doi.org/10.1007/BF01559532	journal	March 1994
Flavor universal resonances and warped gravity Agashe, Kaustubh; Du, Peizhi; Hong, Sungwoo Journal of High Energy Physics, Vol. 2017, Issue 1 https://doi.org/10.1007/JHEP01(2017)016	journal	January 2017
DELPHES 3: a modular framework for fast simulation of a generic collider experiment de Favereau, J.; Delaere, C.; Demin, P. Journal of High Energy Physics, Vol. 2014, Issue 2 https://doi.org/10.1007/JHEP02(2014)057	journal	February 2014
Identifying boosted objects with N-subjettiness Thaler, Jesse; Van Tilburg, Ken Journal of High Energy Physics, Vol. 2011, Issue 3 https://doi.org/10.1007/JHEP03(2011)015	journal	March 2011
Thinking outside the ROCs: Designing Decorrelated Taggers (DDT) for jet substructure Dolen, James; Harris, Philip; Marzani, Simone Journal of High Energy Physics, Vol. 2016, Issue 5 https://doi.org/10.1007/JHEP05(2016)156	journal	May 2016
Convolved substructure: analytically decorrelating jet substructure observables Moult, Ian; Nachman, Benjamin; Neill, Duff Journal of High Energy Physics, Vol. 2018, Issue 5 https://doi.org/10.1007/JHEP05(2018)002	journal	May 2018
The automated computation of tree-level and next-to-leading order differential cross sections, and their matching to parton shower simulations Alwall, J.; Frederix, R.; Frixione, S. Journal of High Energy Physics, Vol. 2014, Issue 7 https://doi.org/10.1007/JHEP07(2014)079	journal	July 2014
Classification without labels: learning from mixed samples in high energy physics Metodiev, Eric M.; Nachman, Benjamin; Thaler, Jesse Journal of High Energy Physics, Vol. 2017, Issue 10 https://doi.org/10.1007/JHEP10(2017)174	journal	October 2017
A generic anti-QCD jet tagger Aguilar-Saavedra, J. A.; Collins, Jack; Mishra, Rashmish K. Journal of High Energy Physics, Vol. 2017, Issue 11 https://doi.org/10.1007/JHEP11(2017)163	journal	November 2017
Detecting a boosted diboson resonance Agashe, Kaustubh; Collins, Jack H.; Du, Peizhi Journal of High Energy Physics, Vol. 2018, Issue 11 https://doi.org/10.1007/JHEP11(2018)027	journal	November 2018
A general search for new phenomena in ep scattering at HERA Aktas, A.; Andreev, V.; Anthonis, T. Physics Letters B, Vol. 602, Issue 1-2 https://doi.org/10.1016/S0370-2693(04)01396-6	journal	November 2004
A brief introduction to PYTHIA 8.1 Sjöstrand, Torbjörn; Mrenna, Stephen; Skands, Peter Computer Physics Communications, Vol. 178, Issue 11 https://doi.org/10.1016/j.cpc.2008.01.036	journal	June 2008
Systematic analysis of HEP collider data Knuteson, Bruce Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, Vol. 534, Issue 1-2 https://doi.org/10.1016/j.nima.2004.07.050	journal	November 2004
: A statistical tool to unfold data distributions Pivk, M.; Le Diberder, F. R. Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, Vol. 555, Issue 1-2 https://doi.org/10.1016/j.nima.2005.08.106	journal	December 2005
A general search for new phenomena at HERA Aaron, F. D.; Alexa, C.; Andreev, V. Physics Letters B, Vol. 674, Issue 4-5 https://doi.org/10.1016/j.physletb.2009.03.034	journal	April 2009
Observation of a new particle in the search for the Standard Model Higgs boson with the ATLAS detector at the LHC Aad, G.; Abajyan, T.; Abbott, B. Physics Letters B, Vol. 716, Issue 1 https://doi.org/10.1016/j.physletb.2012.08.020	journal	September 2012
Observation of a new boson at a mass of 125 GeV with the CMS experiment at the LHC Chatrchyan, S.; Khachatryan, V.; Sirunyan, A. M. Physics Letters B, Vol. 716, Issue 1 https://doi.org/10.1016/j.physletb.2012.08.021	journal	September 2012
Beyond the standard model with the LHC Ellis, John Nature, Vol. 448, Issue 7151 https://doi.org/10.1038/nature06079	journal	July 2007
uBoost: a boosting method for producing uniform selection efficiencies from multivariate classifiers Stevens, J.; Williams, M. Journal of Instrumentation, Vol. 8, Issue 12 https://doi.org/10.1088/1748-0221/8/12/P12013	journal	December 2013
On the Problem of the Most Efficient Tests of Statistical Hypotheses Neyman, J.; Pearson, E. S. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, Vol. 231, Issue 694-706 https://doi.org/10.1098/rsta.1933.0009	journal	January 1933
Search for new physics in e μ X data at DØ using SLEUTH: A quasi-model-independent search strategy for new physics Abbott, B.; Abolins, M.; Abramov, V. Physical Review D, Vol. 62, Issue 9 https://doi.org/10.1103/PhysRevD.62.092004	journal	October 2000
Quasi-model-independent search for new physics at large transverse momentum Abazov, V. M.; Abbott, B.; Abdesselam, A. Physical Review D, Vol. 64, Issue 1 https://doi.org/10.1103/PhysRevD.64.012004	journal	June 2001
WW scattering at the CERN LHC Butterworth, J. M.; Cox, B. E.; Forshaw, J. R. Physical Review D, Vol. 65, Issue 9 https://doi.org/10.1103/PhysRevD.65.096014	journal	May 2002
Model-independent and quasi-model-independent search for new physics at CDF Aaltonen, T.; Abulencia, A.; Adelman, J. Physical Review D, Vol. 78, Issue 1 https://doi.org/10.1103/PhysRevD.78.012002	journal	July 2008
Global search for new physics with 2.0 fb − 1 at CDF Aaltonen, T.; Adelman, J.; Akimoto, T. Physical Review D, Vol. 79, Issue 1 https://doi.org/10.1103/PhysRevD.79.011101	journal	January 2009
Decorrelated jet substructure tagging using adversarial neural networks Shimmin, Chase; Sadowski, Peter; Baldi, Pierre Physical Review D, Vol. 96, Issue 7 https://doi.org/10.1103/PhysRevD.96.074034	journal	October 2017
Jet Substructure as a New Higgs-Search Channel at the Large Hadron Collider Butterworth, Jonathan M.; Davison, Adam R.; Rubin, Mathieu Physical Review Letters, Vol. 100, Issue 24 https://doi.org/10.1103/PhysRevLett.100.242001	journal	June 2008
Search for Low Mass Vector Resonances Decaying to Quark-Antiquark Pairs in Proton-Proton Collisions at s = 13 TeV Sirunyan, A. M.; Tumasyan, A.; Adam, W. Physical Review Letters, Vol. 119, Issue 11 https://doi.org/10.1103/PhysRevLett.119.111802	journal	September 2017
Asymptotic formulae for likelihood-based tests of new physics Cowan, Glen; Cranmer, Kyle; Gross, Eilam The European Physical Journal C, Vol. 71, Issue 2 https://doi.org/10.1140/epjc/s10052-011-1554-0	journal	February 2011
Erratum to: Asymptotic formulae for likelihood-based tests of new physics Cowan, Glen; Cranmer, Kyle; Gross, Eilam The European Physical Journal C, Vol. 73, Issue 7 https://doi.org/10.1140/epjc/s10052-013-2501-z	journal	July 2013

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