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Benchmark data and ...
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Aarrestad, TheaCERN
(author)
Benchmark data and model independent event classification for the large hadron collider
- Article/chapterEnglish2022
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LIBRIS-ID:oai:lup.lub.lu.se:27248735-9983-4f09-bd60-5e9532b68388
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https://lup.lub.lu.se/record/27248735-9983-4f09-bd60-5e9532b68388URI
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https://doi.org/10.21468/SCIPOSTPHYS.12.1.043DOI
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Language:English
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Summary in:English
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Subject category:art swepub-publicationtype
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We describe the outcome of a data challenge conducted as part of the Dark Machines (https://www.darkmachines.org) initiative and the Les Houches 2019 workshop on Physics at TeV colliders. The challenged aims to detect signals of new physics at the Large Hadron Collider (LHC) using unsupervised machine learning algorithms. First, we propose how an anomaly score could be implemented to define model-independent signal regions in LHC searches. We define and describe a large benchmark dataset, consisting of > 1 billion simulated LHC events corresponding to 10 fb−1 of proton-proton collisions at a center-of-mass energy of 13 TeV. We then review a wide range of anomaly detection and density estimation algorithms, developed in the context of the data challenge, and we measure their performance in a set of realistic analysis environments. We draw a number of useful conclusions that will aid the development of unsupervised new physics searches during the third run of the LHC, and provide our benchmark dataset for future studies at https://www.phenoMLdata.org. Code to reproduce the analysis is provided at https://github.com/bostdiek/DarkMachines-UnsupervisedChallenge.
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van Beekveld, MelissaUniversity of Oxford
(author)
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Bona, MarcellaQueen Mary University
(author)
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Boveia, AntonioOhio State University
(author)
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Caron, SaschaDutch National Institute for Subatomic Physics (NIKHEF)
(author)
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Davies, JoeQueen Mary University
(author)
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De Simone, AndreaINFN Section of Trieste,International School For Advanced Studies (sissa/isas)
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Doglioni, CaterinaLund University,Lunds universitet,Partikel- och kärnfysik,Fysiska institutionen,Institutioner vid LTH,Lunds Tekniska Högskola,Particle and nuclear physics,Department of Physics,Departments at LTH,Faculty of Engineering, LTH(Swepub:lu)hep-ced
(author)
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Duarte, Javier M.University of California, San Diego
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Farbin, AmirUniversity of Texas at Arlington
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Gupta, HoneyGoogle Inc.
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Hendriks, LucDutch National Institute for Subatomic Physics (NIKHEF)
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Heinrich, LukasCERN
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Howarth, JamesUniversity of Glasgow
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Jawahar, PratikCERN,Worcester Polytechnic Institute
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Jueid, AdilKonkuk University
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Lastow, JessicaLund University,Lunds universitet,MAX IV-laboratoriet,MAX IV Laboratory(Swepub:lu)je8520la
(author)
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Leinweber, AdamUniversity of Adelaide
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Mamuzic, JuditaCSIC-UV - Instituto de Física Corpuscular (IFIC)
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Merényi, ErzsébetRice University
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Morandini, AlessandroRWTH Aachen University
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Moskvitina, PolinaDutch National Institute for Subatomic Physics (NIKHEF)
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Nellist, ClaraDutch National Institute for Subatomic Physics (NIKHEF)
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Ngadiuba, JenniferFermi National Accelerator Laboratory,California Institute of Technology
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Ostdiek, BryanInstitute for Artificial Intelligence and Fundamental Interactions (NSF AI),Harvard University
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Pierini, MaurizioCERN
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Ravina, BaptisteUniversity of Glasgow
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de Austri, Roberto R.CSIC-UV - Instituto de Física Corpuscular (IFIC)
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Sekmen, SezenKyungpook National University
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Touranakou, MaryCERN,National and Kapodistrian University of Athens
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Vaškevičiūte, MarijaUniversity of Glasgow
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Vilalta, RicardoUniversity of Houston
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Vlimant, Jean RochCalifornia Institute of Technology
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Verheyen, RobUniversity College London
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White, MartinUniversity of Adelaide
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Wulff, EricLund University
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Wallin, ErikLund University
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Wozniak, Kinga A.University of Vienna,CERN
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Zhang, ZhongyiDutch National Institute for Subatomic Physics (NIKHEF)
(author)
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CERNUniversity of Oxford
(creator_code:org_t)
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In:SciPost Physics12:12542-4653
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Aarrestad, Thea
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Lastow, Jessica
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Morandini, Aless ...
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