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

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A strategy for a general search for new phenomena using data-derived signal regions and its application within the ATLAS experiment. / The ATLAS collaboration ; Казанин, Василий Федорович ; Максимов, Дмитрий Александрович et al.

In: European Physical Journal C, Vol. 79, No. 2, 120, 06.02.2019.

Research output: Contribution to journal › Article › peer-review

BibTeX

@article{8b0effc93bdb483494be0a69bfcad8e1,

title = "A strategy for a general search for new phenomena using data-derived signal regions and its application within the ATLAS experiment",

abstract = "This 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.",

keywords = "PARTON DISTRIBUTIONS, PLUS PLUS, PHYSICS, COLLISIONS, EXTENSION, LHC",

author = "{The ATLAS collaboration} and M. Aaboud and G. Aad and B. Abbott and O. Abdinov and B. Abeloos and Abidi, {S. H.} and AbouZeid, {O. S.} and Abraham, {N. L.} and H. Abramowicz and H. Abreu and Y. Abulaiti and Acharya, {B. S.} and S. Adachi and L. Adamczyk and J. Adelman and M. Adersberger and T. Adye and Affolder, {A. A.} and Y. Afik and C. Agheorghiesei and Aguilar-Saavedra, {J. A.} and F. Ahmadov and G. Aielli and S. Akatsuka and {\AA}kesson, {T. P.A.} and E. Akilli and Akimov, {A. V.} and Alberghi, {G. L.} and J. Albert and P. Albicocco and Alconada Verzini, {M. J.} and S. Alderweireldt and M. Aleksa and Aleksandrov, {I. N.} and C. Alexa and G. Alexander and T. Alexopoulos and M. Alhroob and B. Ali and G. Alimonti and Anisenkov, {A. V.} and Baldin, {E. M.} and Bobrovnikov, {V. S.} and Buzykaev, {A. R.} and Kharlamov, {A. G.} and T. Kharlamova and Maslennikov, {A. L.} and Peleganchuk, {S. V.} and Tikhonov, {Yu A.} and V. Zhulanov and Казанин, {Василий Федорович} and Максимов, {Дмитрий Александрович} and Подберёзко, {Павел Сергеевич} and Резанова, {Ольга Леонардовна} and Сухарев, {Андрей Михайлович} and Талышев, {Алексей Александрович} and Bogdanchikov, {A. G.}",

year = "2019",

month = feb,

day = "6",

doi = "10.1140/epjc/s10052-019-6540-y",

language = "English",

volume = "79",

journal = "European Physical Journal C",

issn = "1434-6044",

publisher = "Springer Nature",

number = "2",

}

RIS

TY - JOUR

T1 - A strategy for a general search for new phenomena using data-derived signal regions and its application within the ATLAS experiment

AU - The ATLAS collaboration

AU - Aaboud, M.

AU - Aad, G.

AU - Abbott, B.

AU - Abdinov, O.

AU - Abeloos, B.

AU - Abidi, S. H.

AU - AbouZeid, O. S.

AU - Abraham, N. L.

AU - Abramowicz, H.

AU - Abreu, H.

AU - Abulaiti, Y.

AU - Acharya, B. S.

AU - Adachi, S.

AU - Adamczyk, L.

AU - Adelman, J.

AU - Adersberger, M.

AU - Adye, T.

AU - Affolder, A. A.

AU - Afik, Y.

AU - Agheorghiesei, C.

AU - Aguilar-Saavedra, J. A.

AU - Ahmadov, F.

AU - Aielli, G.

AU - Akatsuka, S.

AU - Åkesson, T. P.A.

AU - Akilli, E.

AU - Akimov, A. V.

AU - Alberghi, G. L.

AU - Albert, J.

AU - Albicocco, P.

AU - Alconada Verzini, M. J.

AU - Alderweireldt, S.

AU - Aleksa, M.

AU - Aleksandrov, I. N.

AU - Alexa, C.

AU - Alexander, G.

AU - Alexopoulos, T.

AU - Alhroob, M.

AU - Ali, B.

AU - Alimonti, G.

AU - Anisenkov, A. V.

AU - Baldin, E. M.

AU - Bobrovnikov, V. S.

AU - Buzykaev, A. R.

AU - Kharlamov, A. G.

AU - Kharlamova, T.

AU - Maslennikov, A. L.

AU - Peleganchuk, S. V.

AU - Tikhonov, Yu A.

AU - Zhulanov, V.

AU - Казанин, Василий Федорович

AU - Максимов, Дмитрий Александрович

AU - Подберёзко, Павел Сергеевич

AU - Резанова, Ольга Леонардовна

AU - Сухарев, Андрей Михайлович

AU - Талышев, Алексей Александрович

AU - Bogdanchikov, A. G.

PY - 2019/2/6

Y1 - 2019/2/6

N2 - This 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.

AB - This 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.

KW - PARTON DISTRIBUTIONS

KW - PLUS PLUS

KW - PHYSICS

KW - COLLISIONS

KW - EXTENSION

KW - LHC

UR - http://www.scopus.com/inward/record.url?scp=85061187220&partnerID=8YFLogxK

U2 - 10.1140/epjc/s10052-019-6540-y

DO - 10.1140/epjc/s10052-019-6540-y

M3 - Article

AN - SCOPUS:85061187220

VL - 79

JO - European Physical Journal C

JF - European Physical Journal C

SN - 1434-6044

IS - 2

M1 - 120

ER -

ID: 18448528