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Article: A strategy for a general search for new phenomena using data-derived signal regions and its application within the ATLAS experiment

TitleA strategy for a general search for new phenomena using data-derived signal regions and its application within the ATLAS experiment
Authors
Issue Date2019
PublisherSpringer Verlag (Germany): SCOAP3. The Journal's web site is located at http://epjc.edpsciences.org
Citation
The European Physical Journal C: Particles and Fields, 2019, v. 79 n. 2, article no. 120, p. 1-45 How to Cite?
AbstractThis paper describes a strategy for a general search used by the ATLAS Collaboration to find potential indications of new physics. Events are classified according to their final state into many event classes. For each event class an automated search algorithm tests whether the data are compatible with the Monte Carlo simulated expectation in several distributions sensitive to the effects of new physics. The significance of a deviation is quantified using pseudo-experiments. A data selection with a significant deviation defines a signal region for a dedicated follow-up analysis with an improved background expectation. The analysis of the data-derived signal regions on a new dataset allows a statistical interpretation without the large look-elsewhere effect. The sensitivity of the approach is discussed using Standard Model processes and benchmark signals of new physics. As an example, results are shown for 3.2 fb - 1 of proton–proton collision data at a centre-of-mass energy of 13 TeV collected with the ATLAS detector at the LHC in 2015, in which more than 700 event classes and more than 10 5 regions have been analysed. No significant deviations are found and consequently no data-derived signal regions for a follow-up analysis have been defined.
Persistent Identifierhttp://hdl.handle.net/10722/268204
ISSN
2017 Impact Factor: 5.172
2015 SCImago Journal Rankings: 0.724
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorATLAS Collaboration-
dc.contributor.authorLo, CY-
dc.contributor.authorOrlando, N-
dc.contributor.authorParedes Hernandez, DK-
dc.contributor.authorTu, Y-
dc.date.accessioned2019-03-18T04:20:44Z-
dc.date.available2019-03-18T04:20:44Z-
dc.date.issued2019-
dc.identifier.citationThe European Physical Journal C: Particles and Fields, 2019, v. 79 n. 2, article no. 120, p. 1-45-
dc.identifier.issn1434-6044-
dc.identifier.urihttp://hdl.handle.net/10722/268204-
dc.description.abstractThis paper describes a strategy for a general search used by the ATLAS Collaboration to find potential indications of new physics. Events are classified according to their final state into many event classes. For each event class an automated search algorithm tests whether the data are compatible with the Monte Carlo simulated expectation in several distributions sensitive to the effects of new physics. The significance of a deviation is quantified using pseudo-experiments. A data selection with a significant deviation defines a signal region for a dedicated follow-up analysis with an improved background expectation. The analysis of the data-derived signal regions on a new dataset allows a statistical interpretation without the large look-elsewhere effect. The sensitivity of the approach is discussed using Standard Model processes and benchmark signals of new physics. As an example, results are shown for 3.2 fb - 1 of proton–proton collision data at a centre-of-mass energy of 13 TeV collected with the ATLAS detector at the LHC in 2015, in which more than 700 event classes and more than 10 5 regions have been analysed. No significant deviations are found and consequently no data-derived signal regions for a follow-up analysis have been defined.-
dc.languageeng-
dc.publisherSpringer Verlag (Germany): SCOAP3. The Journal's web site is located at http://epjc.edpsciences.org-
dc.relation.ispartofThe European Physical Journal C: Particles and Fields-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.titleA strategy for a general search for new phenomena using data-derived signal regions and its application within the ATLAS experiment-
dc.typeArticle-
dc.identifier.emailParedes Hernandez, DK: dparedes@hku.hk-
dc.identifier.emailTu, Y: yanjuntu@hku.hk-
dc.identifier.authorityTu, Y=rp01971-
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.1140/epjc/s10052-019-6540-y-
dc.identifier.scopuseid_2-s2.0-85061187220-
dc.identifier.hkuros297097-
dc.identifier.volume79-
dc.identifier.issue2-
dc.identifier.spagearticle no. 120, p. 1-
dc.identifier.epagearticle no. 120, p. 45-
dc.identifier.isiWOS:000457998500007-
dc.publisher.placeGermany-

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