AtlFast3: the Next Generation of Fast Simulation in ATLAS

ATLAS Collaboration

doi:10.1007/s41781-021-00079-7

AtlFast3: the Next Generation of Fast Simulation in ATLAS

ATLAS Collaboration

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

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Abstract

The ATLAS experiment at the Large Hadron Collider has a broad physics programme ranging from precision measurements to direct searches for new particles and new interactions, requiring ever larger and ever more accurate datasets of simulated Monte Carlo events. Detector simulation with Geant4 is accurate but requires significant CPU resources. Over the past decade, ATLAS has developed and utilized tools that replace the most CPU-intensive component of the simulation—the calorimeter shower simulation—with faster simulation methods. Here, AtlFast3, the next generation of high-accuracy fast simulation in ATLAS, is introduced. AtlFast3 combines parameterized approaches with machine-learning techniques and is deployed to meet current and future computing challenges, and simulation needs of the ATLAS experiment. With highly accurate performance and significantly improved modelling of substructure within jets, AtlFast3 can simulate large numbers of events for a wide range of physics processes.

Original language	English
Article number	7
Pages (from-to)	1-54
Number of pages	54
Journal	Computing and Software for Big Science
Volume	6
Issue number	1
DOIs	https://doi.org/10.1007/s41781-021-00079-7
Publication status	Published - Dec 2022
Externally published	Yes

Bibliographical note

Copyright the Publisher 2022. 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.

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10.1007/s41781-021-00079-7Licence: CC BY

Publisher version (open access)Final published version, 7.06 MBLicence: CC BY

Cite this

@article{5a7abb8f65a5460a8fd075ba9fe61929,

title = "AtlFast3: the Next Generation of Fast Simulation in ATLAS",

abstract = "The ATLAS experiment at the Large Hadron Collider has a broad physics programme ranging from precision measurements to direct searches for new particles and new interactions, requiring ever larger and ever more accurate datasets of simulated Monte Carlo events. Detector simulation with Geant4 is accurate but requires significant CPU resources. Over the past decade, ATLAS has developed and utilized tools that replace the most CPU-intensive component of the simulation—the calorimeter shower simulation—with faster simulation methods. Here, AtlFast3, the next generation of high-accuracy fast simulation in ATLAS, is introduced. AtlFast3 combines parameterized approaches with machine-learning techniques and is deployed to meet current and future computing challenges, and simulation needs of the ATLAS experiment. With highly accurate performance and significantly improved modelling of substructure within jets, AtlFast3 can simulate large numbers of events for a wide range of physics processes.",

author = "{ATLAS Collaboration} and G. Aad and B. Abbott and Abbott, {D. C.} and Abud, {A. Abed} and K. Abeling and Abhayasinghe, {D. K.} and Abidi, {S. H.} and A. Aboulhorma and H. Abramowicz and H. Abreu and Y. Abulaiti and Hoffman, {A. C.Abusleme} and Acharya, {B. S.} and B. Achkar and L. Adam and Bourdarios, {C. Adam} 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 C. Agapopoulou 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 X. Ai and G. Aielli and I. Aizenberg and S. Akatsuka and M. Akbiyik and {\AA}kesson, {T. P.A.} and Akimov, {A. V.} and Khoury, {K. Al} and Alberghi, {G. L.} and J. Albert and P. Albicocco and Verzini, {M. J.Alconada} 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 C. Allaire and Allbrooke, {B. M.M.} and Allport, {P. P.} and A. Aloisio and F. Alonso and C. Alpigiani and Camelia, {E. Alunno} and Estevez, {M. Alvarez} and Alviggi, {M. G.} and Coutinho, {Y. Amaral} and A. Ambler and L. Ambroz and C. Amelung and D. Amidei and Santos, {S. P.Amor Dos} and S. Amoroso and Amos, {K. R.} and Amrouche, {C. S.} and V. Ananiev and C. Anastopoulos and N. Andari 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 Pozo, {J. A.Aparisi} and Aparo, {M. A.} and Bella, {L. Aperio} and N. Aranzabal and Ferraz, {V. Araujo} 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 A. Armstrong and O. Arnaez and H. Arnold and Tame, {Z. P.Arrubarrena} and G. Artoni and H. Asada and K. Asai and S. Asai and Asbah, {N. A.} and Asimakopoulou, {E. M.} and L. Asquith 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 Austrup, {V. A.} and G. Avner and G. Avolio 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 H. Bahrasemani 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 Gupta, {D. Bakshi} 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 J. Barkeloo and T. Barklow and Barnett, {B. M.} and Barnett, {R. M.} and A. Baroncelli and G. Barone and Barr, {A. J.} and Navarro, {L. Barranco} and F. Barreiro and {da Costa}, {J. Barreiro Guimar{\~a}es} and U. Barron and S. Barsov and F. Bartels and R. Bartoldus and G. Bartolini 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 M. Bauce and F. Bauer and P. Bauer and Bawa, {H. S.} 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 C. Becot and Beddall, {A. J.} and Bednyakov, {V. A.} and Bee, {C. P.} and Beermann, {T. A.} and M. Begalli and M. Begel and A. Behera and Behr, {J. K.} and {Da Cruz E Silva}, {C. Beirao} 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 Y. Benhammou and Benjamin, {D. P.} and M. Benoit and Bensinger, {J. R.} and S. Bentvelsen and L. Beresford and M. Beretta and D. Berge and Kuutmann, {E. Bergeaas} and N. Berger and B. Bergmann and Bergsten, {L. J.} and J. Beringer and S. Berlendis and G. Bernardi and C. Bernius and Bernlochner, {F. U.} and T. Berry and J. Shojaii",

note = "Copyright the Publisher 2022. 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 = "2022",

month = dec,

doi = "10.1007/s41781-021-00079-7",

language = "English",

volume = "6",

pages = "1--54",

journal = "Computing and Software for Big Science",

issn = "2510-2044",

publisher = "Springer, Springer Nature",

number = "1",

}

TY - JOUR

T1 - AtlFast3

T2 - the Next Generation of Fast Simulation in ATLAS

AU - ATLAS Collaboration

AU - Aad, G.

AU - Abbott, B.

AU - Abbott, D. C.

AU - Abud, A. Abed

AU - Abeling, K.

AU - Abhayasinghe, D. K.

AU - Abidi, S. H.

AU - Aboulhorma, A.

AU - Abramowicz, H.

AU - Abreu, H.

AU - Abulaiti, Y.

AU - Hoffman, A. C.Abusleme

AU - Acharya, B. S.

AU - Achkar, B.

AU - Adam, L.

AU - Bourdarios, C. Adam

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 - Agapopoulou, C.

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 - Ai, X.

AU - Aielli, G.

AU - Aizenberg, I.

AU - Akatsuka, S.

AU - Akbiyik, M.

AU - Åkesson, T. P.A.

AU - Akimov, A. V.

AU - Khoury, K. Al

AU - Alberghi, G. L.

AU - Albert, J.

AU - Albicocco, P.

AU - Verzini, M. J.Alconada

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 - Allaire, C.

AU - Allbrooke, B. M.M.

AU - Allport, P. P.

AU - Aloisio, A.

AU - Alonso, F.

AU - Alpigiani, C.

AU - Camelia, E. Alunno

AU - Estevez, M. Alvarez

AU - Alviggi, M. G.

AU - Coutinho, Y. Amaral

AU - Ambler, A.

AU - Ambroz, L.

AU - Amelung, C.

AU - Amidei, D.

AU - Santos, S. P.Amor Dos

AU - Amoroso, S.

AU - Amos, K. R.

AU - Amrouche, C. S.

AU - Ananiev, V.

AU - Anastopoulos, C.

AU - Andari, N.

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 - Pozo, J. A.Aparisi

AU - Aparo, M. A.

AU - Bella, L. Aperio

AU - Aranzabal, N.

AU - Ferraz, V. Araujo

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 - Armstrong, A.

AU - Arnaez, O.

AU - Arnold, H.

AU - Tame, Z. P.Arrubarrena

AU - Artoni, G.

AU - Asada, H.

AU - Asai, K.

AU - Asai, S.

AU - Asbah, N. A.

AU - Asimakopoulou, E. M.

AU - Asquith, L.

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 - Austrup, V. A.

AU - Avner, G.

AU - Avolio, G.

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 - Bahrasemani, H.

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 - Gupta, D. Bakshi

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 - Barkeloo, J.

AU - Barklow, T.

AU - Barnett, B. M.

AU - Barnett, R. M.

AU - Baroncelli, A.

AU - Barone, G.

AU - Barr, A. J.

AU - Navarro, L. Barranco

AU - Barreiro, F.

AU - da Costa, J. Barreiro Guimarães

AU - Barron, U.

AU - Barsov, S.

AU - Bartels, F.

AU - Bartoldus, R.

AU - Bartolini, G.

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 - Bauce, M.

AU - Bauer, F.

AU - Bauer, P.

AU - Bawa, H. S.

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 - Becot, C.

AU - Beddall, A. J.

AU - Bednyakov, V. A.

AU - Bee, C. P.

AU - Beermann, T. A.

AU - Begalli, M.

AU - Begel, M.

AU - Behera, A.

AU - Behr, J. K.

AU - Da Cruz E Silva, C. Beirao

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 - Benhammou, Y.

AU - Benjamin, D. P.

AU - Benoit, M.

AU - Bensinger, J. R.

AU - Bentvelsen, S.

AU - Beresford, L.

AU - Beretta, M.

AU - Berge, D.

AU - Kuutmann, E. Bergeaas

AU - Berger, N.

AU - Bergmann, B.

AU - Bergsten, L. J.

AU - Beringer, J.

AU - Berlendis, S.

AU - Bernardi, G.

AU - Bernius, C.

AU - Bernlochner, F. U.

AU - Berry, T.

AU - Shojaii, J.

N1 - Copyright the Publisher 2022. 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 - 2022/12

Y1 - 2022/12

N2 - The ATLAS experiment at the Large Hadron Collider has a broad physics programme ranging from precision measurements to direct searches for new particles and new interactions, requiring ever larger and ever more accurate datasets of simulated Monte Carlo events. Detector simulation with Geant4 is accurate but requires significant CPU resources. Over the past decade, ATLAS has developed and utilized tools that replace the most CPU-intensive component of the simulation—the calorimeter shower simulation—with faster simulation methods. Here, AtlFast3, the next generation of high-accuracy fast simulation in ATLAS, is introduced. AtlFast3 combines parameterized approaches with machine-learning techniques and is deployed to meet current and future computing challenges, and simulation needs of the ATLAS experiment. With highly accurate performance and significantly improved modelling of substructure within jets, AtlFast3 can simulate large numbers of events for a wide range of physics processes.

AB - The ATLAS experiment at the Large Hadron Collider has a broad physics programme ranging from precision measurements to direct searches for new particles and new interactions, requiring ever larger and ever more accurate datasets of simulated Monte Carlo events. Detector simulation with Geant4 is accurate but requires significant CPU resources. Over the past decade, ATLAS has developed and utilized tools that replace the most CPU-intensive component of the simulation—the calorimeter shower simulation—with faster simulation methods. Here, AtlFast3, the next generation of high-accuracy fast simulation in ATLAS, is introduced. AtlFast3 combines parameterized approaches with machine-learning techniques and is deployed to meet current and future computing challenges, and simulation needs of the ATLAS experiment. With highly accurate performance and significantly improved modelling of substructure within jets, AtlFast3 can simulate large numbers of events for a wide range of physics processes.

UR - http://www.scopus.com/inward/record.url?scp=85126227550&partnerID=8YFLogxK

U2 - 10.1007/s41781-021-00079-7

DO - 10.1007/s41781-021-00079-7

M3 - Article

AN - SCOPUS:85126227550

SN - 2510-2044

VL - 6

SP - 1

EP - 54

JO - Computing and Software for Big Science

JF - Computing and Software for Big Science

IS - 1

M1 - 7

ER -

AtlFast3: the Next Generation of Fast Simulation in ATLAS

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