ATLAS flavour-tagging algorithms for the LHC Run 2 pp collision dataset

ATLAS Collaboration

doi:10.1140/epjc/s10052-023-11699-1

ATLAS flavour-tagging algorithms for the LHC Run 2 pp collision dataset

ATLAS Collaboration

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

86 Citations (Scopus)

2 Downloads (Pure)

Abstract

The flavour-tagging algorithms developed by the ATLAS Collaboration and used to analyse its dataset of √s = 13 TeV pp collisions from Run 2 of the Large Hadron Collider are presented. These new tagging algorithms are based on recurrent and deep neural networks, and their performance is evaluated in simulated collision events. These developments yield considerable improvements over previous jet-flavour identification strategies. At the 77% b-jet identification efficiency operating point, light-jet (charm-jet) rejection factors of 170 (5) are achieved in a sample of simulated Standard Model tt¯ events; similarly, at a c-jet identification efficiency of 30%, a light-jet (b-jet) rejection factor of 70 (9) is obtained.

Original language	English
Article number	681
Pages (from-to)	1-37
Number of pages	37
Journal	European Physical Journal C
Volume	83
Issue number	7
DOIs	https://doi.org/10.1140/epjc/s10052-023-11699-1
Publication status	Published - Jul 2023
Externally published	Yes

Bibliographical note

Copyright the Author(s) 2023. Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.

Access to Document

10.1140/epjc/s10052-023-11699-1Licence: CC BY

Publisher version (open access)Final published version, 7.9 MBLicence: CC BY

Cite this

@article{421df74015c5422c9aa8e19ed5c75a36,

title = "ATLAS flavour-tagging algorithms for the LHC Run 2 pp collision dataset",

abstract = "The flavour-tagging algorithms developed by the ATLAS Collaboration and used to analyse its dataset of √s = 13 TeV pp collisions from Run 2 of the Large Hadron Collider are presented. These new tagging algorithms are based on recurrent and deep neural networks, and their performance is evaluated in simulated collision events. These developments yield considerable improvements over previous jet-flavour identification strategies. At the 77% b-jet identification efficiency operating point, light-jet (charm-jet) rejection factors of 170 (5) are achieved in a sample of simulated Standard Model tt¯ events; similarly, at a c-jet identification efficiency of 30%, a light-jet (b-jet) rejection factor of 70 (9) is obtained.",

author = "{ATLAS Collaboration} and G. Aad and B. Abbott and Abbott, {D. C.} and K. Abeling and Abidi, {S. H.} and A. Aboulhorma and H. Abramowicz and H. Abreu and Y. Abulaiti and {Abusleme Hoffman}, {A. C.} and Acharya, {B. S.} and {Adam Bourdarios}, C. and L. Adamczyk and L. Adamek and Addepalli, {S. V.} and J. Adelman and A. Adiguzel and S. Adorni and T. Adye and Affolder, {A. A.} and Y. Afik and Agaras, {M. N.} and J. Agarwala and A. Aggarwal and C. Agheorghiesei and Aguilar-Saavedra, {J. A.} and A. Ahmad and F. Ahmadov and Ahmed, {W. S.} and S. Ahuja and X. Ai and G. Aielli and {Ait Tamlihat}, M. and B. Aitbenchikh and I. Aizenberg and M. Akbiyik and {\AA}kesson, {T. P.A.} and Akimov, {A. V.} and {Al Khoury}, K. and Alberghi, {G. L.} and J. Albert and P. Albicocco and S. Alderweireldt and M. Aleksa and Aleksandrov, {I. N.} and C. Alexa and T. Alexopoulos and A. Alfonsi and F. Alfonsi and M. Alhroob and B. Ali and S. Ali and M. Aliev and G. Alimonti and W. Alkakhi and C. Allaire and Allbrooke, {B. M.M.} and {Allendes Flores}, {C. A.} and Allport, {P. P.} and A. Aloisio and F. Alonso and C. Alpigiani and {Alvarez Estevez}, M. and Alviggi, {M. G.} and M. Aly and {Amaral Coutinho}, Y. and A. Ambler and C. Amelung and M. Amerl and Ames, {C. G.} and D. Amidei and {Amor Dos Santos}, {S. P.} and Amos, {K. R.} and V. Ananiev and C. Anastopoulos and T. Andeen and Anders, {J. K.} and Andrean, {S. Y.} and A. Andreazza and S. Angelidakis and A. Angerami and Anisenkov, {A. V.} and A. Annovi and C. Antel and Anthony, {M. T.} and E. Antipov and M. Antonelli and Antrim, {D. J.A.} and F. Anulli and M. Aoki and T. Aoki and {Aparisi Pozo}, {J. A.} and Aparo, {M. A.} and {Aperio Bella}, L. and C. Appelt and N. Aranzabal and {Araujo Ferraz}, V. and C. Arcangeletti and Arce, {A. T.H.} and E. Arena and Arguin, {J. F.} and S. Argyropoulos and Arling, {J. H.} and Armbruster, {A. J.} and O. Arnaez and H. Arnold and {Arrubarrena Tame}, {Z. P.} and G. Artoni and H. Asada and K. Asai and S. Asai and Asbah, {N. A.} and J. Assahsah and K. Assamagan and R. Astalos and Atkin, {R. J.} and M. Atkinson and Atlay, {N. B.} and H. Atmani and Atmasiddha, {P. A.} and K. Augsten and S. Auricchio and Auriol, {A. D.} and Austrup, {V. A.} and G. Avner and G. Avolio and K. Axiotis and Ayoub, {M. K.} and G. Azuelos and D. Babal and H. Bachacou and K. Bachas and A. Bachiu and F. Backman and A. Badea and P. Bagnaia and M. Bahmani and Bailey, {A. J.} and Bailey, {V. R.} and Baines, {J. T.} and C. Bakalis and Baker, {O. K.} and Bakker, {P. J.} and E. Bakos and {Bakshi Gupta}, D. and S. Balaji and R. Balasubramanian and Baldin, {E. M.} and P. Balek and E. Ballabene and F. Balli and Baltes, {L. M.} and Balunas, {W. K.} and J. Balz and E. Banas and M. Bandieramonte and A. Bandyopadhyay and S. Bansal and L. Barak and Barberio, {E. L.} and D. Barberis and M. Barbero and G. Barbour and Barends, {K. N.} and T. Barillari and Barisits, {M. S.} and T. Barklow and Barnett, {R. M.} and P. Baron and {Baron Moreno}, {D. A.} and A. Baroncelli and G. Barone and Barr, {A. J.} and {Barranco Navarro}, L. and F. Barreiro and {Barreiro Guimar{\~a}es da Costa}, J. and U. Barron and {Barros Teixeira}, {M. G.} and S. Barsov and F. Bartels and R. Bartoldus and Barton, {A. E.} and P. Bartos and A. Basalaev and A. Basan and M. Baselga and I. Bashta and A. Bassalat and Basso, {M. J.} and Basson, {C. R.} and Bates, {R. L.} and S. Batlamous and Batley, {J. R.} and B. Batool and M. Battaglia and D. Battulga and M. Bauce and P. Bauer and A. Bayirli and Beacham, {J. B.} and T. Beau and Beauchemin, {P. H.} and F. Becherer and P. Bechtle and Beck, {H. P.} and K. Becker and Beddall, {A. J.} and Bednyakov, {V. A.} and Bee, {C. P.} and Beemster, {L. J.} and Beermann, {T. A.} and M. Begalli and M. Begel and A. Behera and Behr, {J. K.} and {Beirao Da Cruz E Silva}, C. and Beirer, {J. F.} and F. Beisiegel and M. Belfkir and G. Bella and L. Bellagamba and A. Bellerive and P. Bellos and K. Beloborodov and K. Belotskiy and Belyaev, {N. L.} and D. Benchekroun and F. Bendebba and Y. Benhammou and Benjamin, {D. P.} and M. Benoit and Bensinger, {J. R.} and S. Bentvelsen and L. Beresford and M. Beretta and {Bergeaas Kuutmann}, E. and N. Berger and B. Bergmann and J. Beringer and S. Berlendis and G. Bernardi and C. Bernius and Bernlochner, {F. U.} and T. Berry and P. Berta and A. Berthold and Bertram, {I. A.} and S. Bethke and A. Betti and J. Shojaii",

note = "Copyright the Author(s) 2023. Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.",

year = "2023",

month = jul,

doi = "10.1140/epjc/s10052-023-11699-1",

language = "English",

volume = "83",

pages = "1--37",

journal = "European Physical Journal C",

issn = "1434-6052",

publisher = "Springer, Springer Nature",

number = "7",

}

TY - JOUR

T1 - ATLAS flavour-tagging algorithms for the LHC Run 2 pp collision dataset

AU - ATLAS Collaboration

AU - Aad, G.

AU - Abbott, B.

AU - Abbott, D. C.

AU - Abeling, K.

AU - Abidi, S. H.

AU - Aboulhorma, A.

AU - Abramowicz, H.

AU - Abreu, H.

AU - Abulaiti, Y.

AU - Abusleme Hoffman, A. C.

AU - Acharya, B. S.

AU - Adam Bourdarios, C.

AU - Adamczyk, L.

AU - Adamek, L.

AU - Addepalli, S. V.

AU - Adelman, J.

AU - Adiguzel, A.

AU - Adorni, S.

AU - Adye, T.

AU - Affolder, A. A.

AU - Afik, Y.

AU - Agaras, M. N.

AU - Agarwala, J.

AU - Aggarwal, A.

AU - Agheorghiesei, C.

AU - Aguilar-Saavedra, J. A.

AU - Ahmad, A.

AU - Ahmadov, F.

AU - Ahmed, W. S.

AU - Ahuja, S.

AU - Ai, X.

AU - Aielli, G.

AU - Ait Tamlihat, M.

AU - Aitbenchikh, B.

AU - Aizenberg, I.

AU - Akbiyik, M.

AU - Åkesson, T. P.A.

AU - Akimov, A. V.

AU - Al Khoury, K.

AU - Alberghi, G. L.

AU - Albert, J.

AU - Albicocco, P.

AU - Alderweireldt, S.

AU - Aleksa, M.

AU - Aleksandrov, I. N.

AU - Alexa, C.

AU - Alexopoulos, T.

AU - Alfonsi, A.

AU - Alfonsi, F.

AU - Alhroob, M.

AU - Ali, B.

AU - Ali, S.

AU - Aliev, M.

AU - Alimonti, G.

AU - Alkakhi, W.

AU - Allaire, C.

AU - Allbrooke, B. M.M.

AU - Allendes Flores, C. A.

AU - Allport, P. P.

AU - Aloisio, A.

AU - Alonso, F.

AU - Alpigiani, C.

AU - Alvarez Estevez, M.

AU - Alviggi, M. G.

AU - Aly, M.

AU - Amaral Coutinho, Y.

AU - Ambler, A.

AU - Amelung, C.

AU - Amerl, M.

AU - Ames, C. G.

AU - Amidei, D.

AU - Amor Dos Santos, S. P.

AU - Amos, K. R.

AU - Ananiev, V.

AU - Anastopoulos, C.

AU - Andeen, T.

AU - Anders, J. K.

AU - Andrean, S. Y.

AU - Andreazza, A.

AU - Angelidakis, S.

AU - Angerami, A.

AU - Anisenkov, A. V.

AU - Annovi, A.

AU - Antel, C.

AU - Anthony, M. T.

AU - Antipov, E.

AU - Antonelli, M.

AU - Antrim, D. J.A.

AU - Anulli, F.

AU - Aoki, M.

AU - Aoki, T.

AU - Aparisi Pozo, J. A.

AU - Aparo, M. A.

AU - Aperio Bella, L.

AU - Appelt, C.

AU - Aranzabal, N.

AU - Araujo Ferraz, V.

AU - Arcangeletti, C.

AU - Arce, A. T.H.

AU - Arena, E.

AU - Arguin, J. F.

AU - Argyropoulos, S.

AU - Arling, J. H.

AU - Armbruster, A. J.

AU - Arnaez, O.

AU - Arnold, H.

AU - Arrubarrena Tame, Z. P.

AU - Artoni, G.

AU - Asada, H.

AU - Asai, K.

AU - Asai, S.

AU - Asbah, N. A.

AU - Assahsah, J.

AU - Assamagan, K.

AU - Astalos, R.

AU - Atkin, R. J.

AU - Atkinson, M.

AU - Atlay, N. B.

AU - Atmani, H.

AU - Atmasiddha, P. A.

AU - Augsten, K.

AU - Auricchio, S.

AU - Auriol, A. D.

AU - Austrup, V. A.

AU - Avner, G.

AU - Avolio, G.

AU - Axiotis, K.

AU - Ayoub, M. K.

AU - Azuelos, G.

AU - Babal, D.

AU - Bachacou, H.

AU - Bachas, K.

AU - Bachiu, A.

AU - Backman, F.

AU - Badea, A.

AU - Bagnaia, P.

AU - Bahmani, M.

AU - Bailey, A. J.

AU - Bailey, V. R.

AU - Baines, J. T.

AU - Bakalis, C.

AU - Baker, O. K.

AU - Bakker, P. J.

AU - Bakos, E.

AU - Bakshi Gupta, D.

AU - Balaji, S.

AU - Balasubramanian, R.

AU - Baldin, E. M.

AU - Balek, P.

AU - Ballabene, E.

AU - Balli, F.

AU - Baltes, L. M.

AU - Balunas, W. K.

AU - Balz, J.

AU - Banas, E.

AU - Bandieramonte, M.

AU - Bandyopadhyay, A.

AU - Bansal, S.

AU - Barak, L.

AU - Barberio, E. L.

AU - Barberis, D.

AU - Barbero, M.

AU - Barbour, G.

AU - Barends, K. N.

AU - Barillari, T.

AU - Barisits, M. S.

AU - Barklow, T.

AU - Barnett, R. M.

AU - Baron, P.

AU - Baron Moreno, D. A.

AU - Baroncelli, A.

AU - Barone, G.

AU - Barr, A. J.

AU - Barranco Navarro, L.

AU - Barreiro, F.

AU - Barreiro Guimarães da Costa, J.

AU - Barron, U.

AU - Barros Teixeira, M. G.

AU - Barsov, S.

AU - Bartels, F.

AU - Bartoldus, R.

AU - Barton, A. E.

AU - Bartos, P.

AU - Basalaev, A.

AU - Basan, A.

AU - Baselga, M.

AU - Bashta, I.

AU - Bassalat, A.

AU - Basso, M. J.

AU - Basson, C. R.

AU - Bates, R. L.

AU - Batlamous, S.

AU - Batley, J. R.

AU - Batool, B.

AU - Battaglia, M.

AU - Battulga, D.

AU - Bauce, M.

AU - Bauer, P.

AU - Bayirli, A.

AU - Beacham, J. B.

AU - Beau, T.

AU - Beauchemin, P. H.

AU - Becherer, F.

AU - Bechtle, P.

AU - Beck, H. P.

AU - Becker, K.

AU - Beddall, A. J.

AU - Bednyakov, V. A.

AU - Bee, C. P.

AU - Beemster, L. J.

AU - Beermann, T. A.

AU - Begalli, M.

AU - Begel, M.

AU - Behera, A.

AU - Behr, J. K.

AU - Beirao Da Cruz E Silva, C.

AU - Beirer, J. F.

AU - Beisiegel, F.

AU - Belfkir, M.

AU - Bella, G.

AU - Bellagamba, L.

AU - Bellerive, A.

AU - Bellos, P.

AU - Beloborodov, K.

AU - Belotskiy, K.

AU - Belyaev, N. L.

AU - Benchekroun, D.

AU - Bendebba, F.

AU - Benhammou, Y.

AU - Benjamin, D. P.

AU - Benoit, M.

AU - Bensinger, J. R.

AU - Bentvelsen, S.

AU - Beresford, L.

AU - Beretta, M.

AU - Bergeaas Kuutmann, E.

AU - Berger, N.

AU - Bergmann, B.

AU - Beringer, J.

AU - Berlendis, S.

AU - Bernardi, G.

AU - Bernius, C.

AU - Bernlochner, F. U.

AU - Berry, T.

AU - Berta, P.

AU - Berthold, A.

AU - Bertram, I. A.

AU - Bethke, S.

AU - Betti, A.

AU - Shojaii, J.

N1 - Copyright the Author(s) 2023. Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.

PY - 2023/7

Y1 - 2023/7

N2 - The flavour-tagging algorithms developed by the ATLAS Collaboration and used to analyse its dataset of √s = 13 TeV pp collisions from Run 2 of the Large Hadron Collider are presented. These new tagging algorithms are based on recurrent and deep neural networks, and their performance is evaluated in simulated collision events. These developments yield considerable improvements over previous jet-flavour identification strategies. At the 77% b-jet identification efficiency operating point, light-jet (charm-jet) rejection factors of 170 (5) are achieved in a sample of simulated Standard Model tt¯ events; similarly, at a c-jet identification efficiency of 30%, a light-jet (b-jet) rejection factor of 70 (9) is obtained.

AB - The flavour-tagging algorithms developed by the ATLAS Collaboration and used to analyse its dataset of √s = 13 TeV pp collisions from Run 2 of the Large Hadron Collider are presented. These new tagging algorithms are based on recurrent and deep neural networks, and their performance is evaluated in simulated collision events. These developments yield considerable improvements over previous jet-flavour identification strategies. At the 77% b-jet identification efficiency operating point, light-jet (charm-jet) rejection factors of 170 (5) are achieved in a sample of simulated Standard Model tt¯ events; similarly, at a c-jet identification efficiency of 30%, a light-jet (b-jet) rejection factor of 70 (9) is obtained.

UR - http://www.scopus.com/inward/record.url?scp=85167625195&partnerID=8YFLogxK

U2 - 10.1140/epjc/s10052-023-11699-1

DO - 10.1140/epjc/s10052-023-11699-1

M3 - Article

AN - SCOPUS:85167625195

SN - 1434-6052

VL - 83

SP - 1

EP - 37

JO - European Physical Journal C

JF - European Physical Journal C

IS - 7

M1 - 681

ER -

ATLAS flavour-tagging algorithms for the LHC Run 2 pp collision dataset

Abstract

Bibliographical note

Access to Document

Other files and links

Cite this