Dijet Resonance Search with Weak Supervision Using s =13 TeV pp Collisions in the ATLAS Detector

Standard

Dijet Resonance Search with Weak Supervision Using s =13 TeV pp Collisions in the ATLAS Detector. / The ATLAS collaboration.

In: Physical Review Letters, Vol. 125, No. 13, 131801, 25.09.2020, p. 131801.

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

Harvard

The ATLAS collaboration 2020, 'Dijet Resonance Search with Weak Supervision Using s =13 TeV pp Collisions in the ATLAS Detector', Physical Review Letters, vol. 125, no. 13, 131801, pp. 131801. https://doi.org/10.1103/PhysRevLett.125.131801

APA

The ATLAS collaboration (2020). Dijet Resonance Search with Weak Supervision Using s =13 TeV pp Collisions in the ATLAS Detector. Physical Review Letters, 125(13), 131801. [131801]. https://doi.org/10.1103/PhysRevLett.125.131801

Vancouver

The ATLAS collaboration. Dijet Resonance Search with Weak Supervision Using s =13 TeV pp Collisions in the ATLAS Detector. Physical Review Letters. 2020 Sept 25;125(13):131801. 131801. doi: 10.1103/PhysRevLett.125.131801

Author

The ATLAS collaboration. / Dijet Resonance Search with Weak Supervision Using s =13 TeV pp Collisions in the ATLAS Detector. In: Physical Review Letters. 2020 ; Vol. 125, No. 13. pp. 131801.

BibTeX

@article{664ea28c33004b5b87f551951c1be8c7,

title = "Dijet Resonance Search with Weak Supervision Using s =13 TeV pp Collisions in the ATLAS Detector",

abstract = "This Letter describes a search for narrowly resonant new physics using a machine-learning anomaly detection procedure that does not rely on signal simulations for developing the analysis selection. Weakly supervised learning is used to train classifiers directly on data to enhance potential signals. The targeted topology is dijet events and the features used for machine learning are the masses of the two jets. The resulting analysis is essentially a three-dimensional search A→BC, for mA∼O(TeV), mB,mC∼O(100 GeV) and B, C are reconstructed as large-radius jets, without paying a penalty associated with a large trials factor in the scan of the masses of the two jets. The full run 2 s=13 TeV pp collision dataset of 139 fb-1 recorded by the ATLAS detector at the Large Hadron Collider is used for the search. There is no significant evidence of a localized excess in the dijet invariant mass spectrum between 1.8 and 8.2 TeV. Cross-section limits for narrow-width A, B, and C particles vary with mA, mB, and mC. For example, when mA=3 TeV and mB{\^a}200 GeV, a production cross section between 1 and 5 fb is excluded at 95% confidence level, depending on mC. For certain masses, these limits are up to 10 times more sensitive than those obtained by the inclusive dijet search. These results are complementary to the dedicated searches for the case that B and C are standard model bosons.",

keywords = "MASS, DISTRIBUTIONS, ASSOCIATION, PHOTON, JET",

author = "{The ATLAS collaboration} and G. Aad and B. Abbott and Abbott, {D. C.} and {Abed Abud}, A. and K. Abeling and Abhayasinghe, {D. K.} 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 B. Achkar and L. Adam and {Adam Bourdarios}, C. and L. Adamczyk and L. Adamek and J. Adelman and M. Adersberger and A. Adiguzel and S. Adorni and T. Adye and Affolder, {A. A.} and Y. Afik and C. Agapopoulou and Agaras, {M. N.} and A. Aggarwal and C. Agheorghiesei and Aguilar-Saavedra, {J. A.} and A. Ahmad and F. Ahmadov and Ahmed, {W. S.} and Anisenkov, {A. V.} and Baldin, {E. M.} and K. Beloborodov and Bobrovnikov, {V. S.} and Buzykaev, {A. R.} and Kazanin, {V. F.} and Kharlamov, {A. G.} and T. Kharlamova and Maslennikov, {A. L.} and Maximov, {D. A.} and Peleganchuk, {S. V.} and P. Podberezko and Rezanova, {O. L.} and Soukharev, {A. M.} and Talyshev, {A. A.} and Tikhonov, {Yu A.} and V. Zhulanov",

year = "2020",

month = sep,

day = "25",

doi = "10.1103/PhysRevLett.125.131801",

language = "English",

volume = "125",

pages = "131801",

journal = "Physical Review Letters",

issn = "0031-9007",

publisher = "American Physical Society",

number = "13",

}

RIS

TY - JOUR

T1 - Dijet Resonance Search with Weak Supervision Using s =13 TeV pp Collisions in the ATLAS Detector

AU - The ATLAS collaboration

AU - Aad, G.

AU - Abbott, B.

AU - Abbott, D. C.

AU - Abed Abud, A.

AU - Abeling, K.

AU - Abhayasinghe, D. K.

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 - Achkar, B.

AU - Adam, L.

AU - Adam Bourdarios, C.

AU - Adamczyk, L.

AU - Adamek, L.

AU - Adelman, J.

AU - Adersberger, M.

AU - Adiguzel, A.

AU - Adorni, S.

AU - Adye, T.

AU - Affolder, A. A.

AU - Afik, Y.

AU - Agapopoulou, C.

AU - Agaras, M. N.

AU - Aggarwal, A.

AU - Agheorghiesei, C.

AU - Aguilar-Saavedra, J. A.

AU - Ahmad, A.

AU - Ahmadov, F.

AU - Ahmed, W. S.

AU - Anisenkov, A. V.

AU - Baldin, E. M.

AU - Beloborodov, K.

AU - Bobrovnikov, V. S.

AU - Buzykaev, A. R.

AU - Kazanin, V. F.

AU - Kharlamov, A. G.

AU - Kharlamova, T.

AU - Maslennikov, A. L.

AU - Maximov, D. A.

AU - Peleganchuk, S. V.

AU - Podberezko, P.

AU - Rezanova, O. L.

AU - Soukharev, A. M.

AU - Talyshev, A. A.

AU - Tikhonov, Yu A.

AU - Zhulanov, V.

PY - 2020/9/25

Y1 - 2020/9/25

N2 - This Letter describes a search for narrowly resonant new physics using a machine-learning anomaly detection procedure that does not rely on signal simulations for developing the analysis selection. Weakly supervised learning is used to train classifiers directly on data to enhance potential signals. The targeted topology is dijet events and the features used for machine learning are the masses of the two jets. The resulting analysis is essentially a three-dimensional search A→BC, for mA∼O(TeV), mB,mC∼O(100 GeV) and B, C are reconstructed as large-radius jets, without paying a penalty associated with a large trials factor in the scan of the masses of the two jets. The full run 2 s=13 TeV pp collision dataset of 139 fb-1 recorded by the ATLAS detector at the Large Hadron Collider is used for the search. There is no significant evidence of a localized excess in the dijet invariant mass spectrum between 1.8 and 8.2 TeV. Cross-section limits for narrow-width A, B, and C particles vary with mA, mB, and mC. For example, when mA=3 TeV and mBâ200 GeV, a production cross section between 1 and 5 fb is excluded at 95% confidence level, depending on mC. For certain masses, these limits are up to 10 times more sensitive than those obtained by the inclusive dijet search. These results are complementary to the dedicated searches for the case that B and C are standard model bosons.

AB - This Letter describes a search for narrowly resonant new physics using a machine-learning anomaly detection procedure that does not rely on signal simulations for developing the analysis selection. Weakly supervised learning is used to train classifiers directly on data to enhance potential signals. The targeted topology is dijet events and the features used for machine learning are the masses of the two jets. The resulting analysis is essentially a three-dimensional search A→BC, for mA∼O(TeV), mB,mC∼O(100 GeV) and B, C are reconstructed as large-radius jets, without paying a penalty associated with a large trials factor in the scan of the masses of the two jets. The full run 2 s=13 TeV pp collision dataset of 139 fb-1 recorded by the ATLAS detector at the Large Hadron Collider is used for the search. There is no significant evidence of a localized excess in the dijet invariant mass spectrum between 1.8 and 8.2 TeV. Cross-section limits for narrow-width A, B, and C particles vary with mA, mB, and mC. For example, when mA=3 TeV and mBâ200 GeV, a production cross section between 1 and 5 fb is excluded at 95% confidence level, depending on mC. For certain masses, these limits are up to 10 times more sensitive than those obtained by the inclusive dijet search. These results are complementary to the dedicated searches for the case that B and C are standard model bosons.

KW - MASS

KW - DISTRIBUTIONS

KW - ASSOCIATION

KW - PHOTON

KW - JET

UR - http://www.scopus.com/inward/record.url?scp=85092801738&partnerID=8YFLogxK

U2 - 10.1103/PhysRevLett.125.131801

DO - 10.1103/PhysRevLett.125.131801

M3 - Article

C2 - 33034503

AN - SCOPUS:85092801738

VL - 125

SP - 131801

JO - Physical Review Letters

JF - Physical Review Letters

SN - 0031-9007

IS - 13

M1 - 131801

ER -

ID: 25625845