An implementation of neural simulation-based inference for parameter estimation in ATLAS

The ATLAS collaboration

doi:10.1088/1361-6633/add370

An implementation of neural simulation-based inference for parameter estimation in ATLAS

The ATLAS collaboration

Department of Physics
Instituto de Alta Investigación
Aix-Marseille Université and CNRS/IN2P3
University of Bergen
University of Oklahoma
New York University Abu Dhabi
Georg-August-Universität Göttingen
Technische Universität Dortmund
Brookhaven National Laboratory Physics Department
Southern Methodist University
Université Mohammed V
Tel Aviv University
New York University
INFN Sezione di Roma Tre
ICTP
Ruprecht-Karls-Universität Heidelberg
Université Savoie Mont Blanc
AGH University of Science and Technology
SLAC National Accelerator Laboratory
University of Manchester
Northern Illinois University
Istanbul University
Rutherford Appleton Laboratory
Santa Cruz Institute for Particle Physics
University of Chicago
The Barcelona Institute of Science and Technology
Institut fu¨r Physik
Alexandru Ioan Cuza University of Iasi
CERN
Royal Holloway University of London
Zhengzhou University
INFN Sezione di Roma Tor Vergata
Università di Roma Tor Vergata
Centro Mixto Universidad de Valencia – CSIC
Réseau Universitaire de Physique des Hautes Energies - Université Hassan II
Lunds Universitet
State University of New York
Waseda University
University of Bonn
Bogazici University
INFN Sezione di Bologna
University of Victoria
Laboratori Nazionali di Frascati
Université Grenoble-Alpes
University of Edinburgh
Oklahoma State University
Horia Hulubei National Institute of Physics and Nuclear Engineering
National Technical University of Athens (NTUA)
Université de Genève
University of Warwick
Czech Technical University in Prague
Lancaster University
California State University
University of Liverpool
University of Johannesburg
INFN Sezione di Milano
Université Paris-Saclay
University of Sussex
University of Birmingham
INFN Sezione di Napoli
Università di Napoli
Universidad Nacional de La Plata
University of Washington
Universidade Federal do Rio De Janeiro COPPE/EE/IF
McGill University
Ludwig-Maximilians-Universität München
University of Michigan, Ann Arbor
Albert-Ludwigs-Universität
University of Toronto
Laboratório de Instrumentação e Física Experimental de Partículas – LIP
Aristotle University of Thessaloniki
High Energy Accelerator Research Organization, Tsukuba
University of Oslo
University of Sheffield
University of Texas at Austin
University of Glasgow
Università di Milano
National and Kapodistrian University of Athens
Columbia University
INFN Sezione di Pisa
University of Tokyo
DESY
Brandeis University
Institute of Nuclear Physics
Duke University
University of Montreal
Sapienza Università di Roma
Nagoya University
Ochanomizu University
Comenius University
University of California, Irvine
University of Cape Town
Mohammed VI Polytechnic University
University of Pennsylvania School of Arts and Sciences
Université Clermont Auvergne
Institute of Experimental Physics of the Slovak Academy of Sciences
Carleton University
Technische Universität Dresden
Humboldt University
University of Oregon
Queen Mary University of London
Yale University
University of Belgrade
University of Texas
Università di Bologna
University of Cambridge
United Arab Emirates University
University of Pittsburgh
School of Physics
Università di Genova
INFN Sezione di Genova
Nikhef National Institute for Subatomic Physics and University of Amsterdam
Max-Planck-Institut für Physik (Werner-Heisenberg-Institut)
Joint Laboratory of Optics
University of Science and Technology of China
Oxford University
University College London
Universidad Autonoma de Madrid
Institute of High Energy Physics, Chinese Academy of Sciences
TRIUMF
University of British Columbia
Universität Innsbruck
Instituto de Física de Buenos Aires (IFIBA)
Sorbonne Université
Tufts University
University of Bern
Istinye University
Universidade do Estado do Rio de Janeiro
Harvard University
University of Uppsala
Lawrence Berkeley National Laboratory
Université Lyon 1
Charles University
Julius-Maximilians-Universität Würzburg
Bergische Universität Wuppertal
Gaziantep University
The Weizmann Institute of Science
Università della Calabria
Universität Siegen
Ohio State University
University of Massachusetts Amherst
INFN-TIFPA
University of Trento
Michigan State University
Indiana University Bloomington
York University
Stockholm University
The Oskar Klein Centre
University of Illinois
Simon Fraser University
Boston University
Justus-Liebig-Universität Giessen
University of Chinese Academy of Science (UCAS)
Nanjing University
Ankara University
Niels Bohr Institutet
University of Nijmegen/NIKHEF
Universidad Técnica Federico Santa María
Universidade do Minho
Universidad Nacional de Colombia
Federal University of Juiz de Fora (UFJF)
Università di Pisa
Tbilisi State University
Argonne National Laboratory
Shanghai Jiao Tong University
Faculty of Science
Tsinghua University
University of Wisconsin
The Chinese University of Hong Kong
University of Arizona
National Tsing Hua University
INFN Sezione di Lecce
Institute of Physics of the Czech Academy of Sciences
University of Ljubljana
Università di Udine
Instituto Superior Técnico
Academia Sinica, Institute Of Physics
Università del Salento
Università Roma Tre
Pontificia Universidad Católica de Chile
Millennium Institute for Subatomic physics at high energy frontier (SAPHIR)
Royal Institute of Technology
University of Bucharest
Federal University of Bahia
Université Ibn-Tofail
Faculdade de Ciências da Universidade de Lisboa
The University of Hong Kong
Louisiana Tech University
Shandong University
Centro Nacional de Microelectrónica (IMB-CNM-CSIC)
INFN Sezione di Pavia
University of Adelaide
Universidade de Coimbra, Faculdade de Ciências e Tecnologia
National Institute of Physics, College of Science, University of the Philippines, Diliman
University of Sharjah
University of New Mexico
National Centre for Scientific Research “Demokritos”
Jagiellonian University
University of Alberta
University of Georgia
West University in Timisoara
Sun Yat-Sen University
Yerevan Physics Institute
Shinshu University
Osaka University
University of Tsukuba
University Politehnica Bucharest
Azerbaijan Academy of Sciences
University of Sao Paulo
Universidad de La Serena
Università di Pavia
Yeditepe University
Institute of Physics of the Georgian Academy of Sciences
Ilia State University (ISU)
Tokyo Institute of Technology
Universidad de Tarapacá
Technion: Israel Institute of Technology
University of the Witwatersrand, Johannesburg
Iowa State University
Universidad Andres Bello
Kobe University
The Hong Kong University of Science and Technology
Université de Liège
Centro de Física Nuclear da Universidade de Lisboa
University of Iowa
Kyushu University
Université Mohamed Premier and LPTPM
Universidad Antonio Narino
University of Sydney
Transilvania University of Brasov
National Institute for Research and Development of Isotopic and Molecular Technologies
University of West Attica
TOBB University of Economics and Technology
Tokyo Metropolitan University
University of California, Berkeley

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

Original language	English
Article number	067801
Journal	Reports on Progress in Physics
Volume	88
Issue number	6
DOIs	https://doi.org/10.1088/1361-6633/add370
State	Published - Jun 1 2025

ASJC Scopus Subject Areas

General Physics and Astronomy

Keywords

frequentist statistics
likelihood-free inference
machine learning
neural simulation-based inference
parameter inference

Access to Document

10.1088/1361-6633/add370

Cite this

@article{fc2ffe58ebd6445ab1f8cb4ed376528c,

title = "An implementation of neural simulation-based inference for parameter estimation in ATLAS",

keywords = "frequentist statistics, likelihood-free inference, machine learning, neural simulation-based inference, parameter inference",

author = "\{The ATLAS collaboration\} and G. Aad and E. Aakvaag and B. Abbott and S. Abdelhameed and K. Abeling and Abicht, \{N. J.\} and Abidi, \{S. H.\} and M. Aboelela and A. Aboulhorma and H. Abramowicz and Y. Abulaiti and Acharya, \{B. S.\} and A. Ackermann and \{Adam Bourdarios\}, C. and L. Adamczyk and Addepalli, \{S. V.\} and Addison, \{M. J.\} and J. Adelman and A. Adiguzel and T. Adye and Affolder, \{A. A.\} and Y. Afik and Agaras, \{M. N.\} and A. Aggarwal and C. Agheorghiesei and F. Ahmadov and S. Ahuja and X. Ai and G. Aielli and A. Aikot and \{Ait Tamlihat\}, M. and B. Aitbenchikh and M. Akbiyik and {\AA}kesson, \{T. P.A.\} and Akimov, \{A. V.\} and D. Akiyama and Akolkar, \{N. N.\} and S. Aktas and Alberghi, \{G. L.\} and J. Albert and P. Albicocco and Albouy, \{G. L.\} and S. Alderweireldt and Alegria, \{Z. L.\} and M. Aleksa and Aleksandrov, \{I. N.\} and C. Alexa and T. Alexopoulos and L. Sawyer and M. Wobisch",

note = "Publisher Copyright: {\textcopyright} 2025 The Author(s). Published by IOP Publishing Ltd.",

year = "2025",

month = jun,

day = "1",

doi = "10.1088/1361-6633/add370",

language = "English",

volume = "88",

journal = "Reports on Progress in Physics",

issn = "0034-4885",

number = "6",

}

TY - JOUR

T1 - An implementation of neural simulation-based inference for parameter estimation in ATLAS

AU - The ATLAS collaboration

AU - Aad, G.

AU - Aakvaag, E.

AU - Abbott, B.

AU - Abdelhameed, S.

AU - Abeling, K.

AU - Abicht, N. J.

AU - Abidi, S. H.

AU - Aboelela, M.

AU - Aboulhorma, A.

AU - Abramowicz, H.

AU - Abulaiti, Y.

AU - Acharya, B. S.

AU - Ackermann, A.

AU - Adam Bourdarios, C.

AU - Adamczyk, L.

AU - Addepalli, S. V.

AU - Addison, M. J.

AU - Adelman, J.

AU - Adiguzel, A.

AU - Adye, T.

AU - Affolder, A. A.

AU - Afik, Y.

AU - Agaras, M. N.

AU - Aggarwal, A.

AU - Agheorghiesei, C.

AU - Ahmadov, F.

AU - Ahuja, S.

AU - Ai, X.

AU - Aielli, G.

AU - Aikot, A.

AU - Ait Tamlihat, M.

AU - Aitbenchikh, B.

AU - Akbiyik, M.

AU - Åkesson, T. P.A.

AU - Akimov, A. V.

AU - Akiyama, D.

AU - Akolkar, N. N.

AU - Aktas, S.

AU - Alberghi, G. L.

AU - Albert, J.

AU - Albicocco, P.

AU - Albouy, G. L.

AU - Alderweireldt, S.

AU - Alegria, Z. L.

AU - Aleksa, M.

AU - Aleksandrov, I. N.

AU - Alexa, C.

AU - Alexopoulos, T.

AU - Sawyer, L.

AU - Wobisch, M.

PY - 2025/6/1

Y1 - 2025/6/1

KW - frequentist statistics

KW - likelihood-free inference

KW - machine learning

KW - neural simulation-based inference

KW - parameter inference

UR - https://www.scopus.com/pages/publications/105007089483

UR - https://www.scopus.com/pages/publications/105007089483#tab=citedBy

U2 - 10.1088/1361-6633/add370

DO - 10.1088/1361-6633/add370

M3 - Article

C2 - 40315869

AN - SCOPUS:105007089483

SN - 0034-4885

VL - 88

JO - Reports on Progress in Physics

JF - Reports on Progress in Physics

IS - 6

M1 - 067801

ER -

An implementation of neural simulation-based inference for parameter estimation in ATLAS

ASJC Scopus Subject Areas

Keywords

Access to Document

Other files and links

Fingerprint

Cite this