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Related papers: A Roadmap for HEP Software and Computing R&D for t…

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The High Energy Phyiscs community has developed and needs to maintain many tens of millions of lines of code and to integrate effectively the work of thousands of developers across large collaborations. Software needs to be built,…

This white paper briefly summarized key conclusions of the recent US Community Study on the Future of Particle Physics (Snowmass 2021) workshop on Software and Computing for Small High Energy Physics Experiments.

The road map to the FCC Feasibility Study Report, for submission to the next Update of the European Strategy for Particle Physics, will require detailed simulation and advanced reconstruction algorithms to explore and maximise the physics…

High Energy Physics - Experiment · Physics 2021-11-19 Gerardo Ganis , Clément Helsens , Valentin Völkl

In this paper we document the current analysis software training and onboarding activities in several High Energy Physics (HEP) experiments: ATLAS, CMS, LHCb, Belle II and DUNE. Fast and efficient onboarding of new collaboration members is…

Data from particle physics experiments are unique and are often the result of a very large investment of resources. Given the potential scientific impact of these data, which goes far beyond the immediate priorities of the experimental…

High Energy Physics - Phenomenology · Physics 2025-04-02 Jon Butterworth , Sabine Kraml , Harrison Prosper , Andy Buckley , Louie Corpe , Cristinel Diaconu , Mark Goodsell , Philippe Gras , Martin Habedank , Clemens Lange , Kati Lassila-Perini , André Lessa , Rakhi Mahbubani , Judita Mamužić , Zach Marshall , Thomas McCauley , Humberto Reyes-Gonzalez , Krzysztof Rolbiecki , Sezen Sekmen , Giordon Stark , Graeme Watt , Jonas Würzinger , Shehu AbdusSalam , Aytul Adiguzel , Amine Ahriche , Ben Allanach , Mohammad M. Altakach , Jack Y. Araz , Alexandre Arbey , Saiyad Ashanujjaman , Volker Austrup , Emanuele Bagnaschi , Sumit Banik , Csaba Balazs , Daniele Barducci , Philip Bechtle , Samuel Bein , Nicolas Berger , Tisa Biswas , Fawzi Boudjema , Jamie Boyd , Carsten Burgard , Jackson Burzynski , Jordan Byers , Giacomo Cacciapaglia , Cécile Caillol , Orhan Cakir , Christopher Chang , Gang Chen , Andrea Coccaro , Yara do Amaral Coutinho , Andreas Crivellin , Leo Constantin , Giovanna Cottin , Hridoy Debnath , Mehmet Demirci , Juhi Dutta , Joe Egan , Carlos Erice Cid , Farida Fassi , Matthew Feickert , Arnaud Ferrari , Pavel Fileviez Perez , Dillon S. Fitzgerald , Roberto Franceschini , Benjamin Fuks , Lorenz Gärtner , Kirtiman Ghosh , Andrea Giammanco , Alejandro Gomez Espinosa , Letícia M. Guedes , Giovanni Guerrieri , Christian Gütschow , Abdelhamid Haddad , Mahsana Haleem , Hassane Hamdaoui , Sven Heinemeyer , Lukas Heinrich , Ben Hodkinson , Gabriela Hoff , Cyril Hugonie , Sihyun Jeon , Adil Jueid , Deepak Kar , Anna Kaczmarska , Venus Keus , Michael Klasen , Kyoungchul Kong , Joachim Kopp , Michael Krämer , Manuel Kunkel , Bertrand Laforge , Theodota Lagouri , Eric Lancon , Peilian Li , Gabriela Lima Lichtenstein , Yang Liu , Steven Lowette , Jayita Lahiri , Siddharth Prasad Maharathy , Farvah Mahmoudi , Vasiliki A. Mitsou , Sanjoy Mandal , Michelangelo Mangano , Kentarou Mawatari , Peter Meinzinger , Manimala Mitra , Mojtaba Mohammadi Najafabadi , Sahana Narasimha , Siavash Neshatpour , Jacinto P. Neto , Mark Neubauer , Mohammad Nourbakhsh , Giacomo Ortona , Rojalin Padhan , Orlando Panella , Timothée Pascal , Brian Petersen , Werner Porod , Farinaldo S. Queiroz , Shakeel Ur Rahaman , Are Raklev , Hossein Rashidi , Patricia Rebello Teles , Federico Leo Redi , Jürgen Reuter , Tania Robens , Abhishek Roy , Subham Saha , Ahmetcan Sansar , Kadir Saygin , Nikita Schmal , Jeffrey Shahinian , Sukanya Sinha , Ricardo C. Silva , Tim Smith , Tibor Šimko , Andrzej Siodmok , Ana M. Teixeira , Tamara Vázquez Schröder , Carlos Vázquez Sierra , Yoxara Villamizar , Wolfgang Waltenberger , Peng Wang , Martin White , Kimiko Yamashita , Ekin Yoruk , Xuai Zhuang

In this chapter of the High Energy Physics Software Foundation Community Whitepaper, we discuss the current state of infrastructure, best practices, and ongoing developments in the area of data and software preservation in high energy…

Large High Energy Physics (HEP) experiments adopted a distributed computing model more than a decade ago. WLCG, the global computing infrastructure for LHC, in partnership with the US Open Science Grid, has achieved data management at the…

Data processing frameworks are an essential part of HEP experiments' software stacks. Frameworks provide a means by which code developers can undertake the essential tasks of physics data processing, accessing relevant inputs and storing…

Array operations are one of the most concise ways of expressing common filtering and simple aggregation operations that is the hallmark of the first step of a particle physics analysis: selection, filtering, basic vector operations, and…

Databases · Computer Science 2021-09-08 Gordon Watts

Today's world of scientific software for High Energy Physics (HEP) is powered by x86 code, while the future will be much more reliant on accelerators like GPUs and FPGAs. The portable parallelization strategies (PPS) project of the High…

The ability to read, use and develop code efficiently and successfully is a key ingredient in modern particle physics. We report the experience of a training program, identified as "Advanced Programming Concepts", that introduces software…

Physics Education · Physics 2016-01-20 Stefan Kluth , Maria Grazia Pia , Thomas Schoerner-Sadenius , Peter Steinbach

A wealth of physics results have already been obtained from the LHC, due to the excellent performance of the collider and its experiments. Even more results are expected to be achievable in the phase of the high-luminosity LHC (HL-LHC). It…

High Energy Physics - Experiment · Physics 2021-05-26 Susanne Kuehn

The 2020 update of the European Strategy for Particle Physics emphasised the importance of an intensified and well-coordinated programme of accelerator R&D, supporting the design and delivery of future particle accelerators in a timely,…

Accelerator Physics · Physics 2022-04-01 C. Adolphsen , D. Angal-Kalinin , T. Arndt , M. Arnold , R. Assmann , B. Auchmann , K. Aulenbacher , A. Ballarino , B. Baudouy , P. Baudrenghien , M. Benedikt , S. Bentvelsen , A. Blondel , A. Bogacz , F. Bossi , L. Bottura , S. Bousson , O. Brüning , R. Brinkmann , M. Bruker , O. Brunner , P. N. Burrows , G. Burt , S. Calatroni , K. Cassou , A. Castilla , N. Catalan-Lasheras , E. Cenni , A. Chancé , N. Colino , S. Corde , L. Corner , B. Cros , A. Cross , J. P. Delahaye , G. Devanz , A. -I. Etienvre , P. Evtushenko , A. Faus-Golfe , P. Fazilleau , M. Ferrario , A. Gallo , L. García-Tabarés , C. Geddes , F. Gerigk , F. Gianotti , S. Gilardoni , A. Grudiev , E. Gschwendtner , G. Hoffstaetter , M. Hogan , S. Hooker , A. Hutton , R. Ischebeck , K. Jakobs , P. Janot , E. Jensen , J. Kühn , W. Kaabi , D. Kayran , M. Klein , J. Knobloch , M. Koratzinos , B. Kuske , M. Lamont , A. Latina , P. Lebrun , W. Leemans , D. Li , K. Long , D. Longuevergne , R. Losito , W. Lu , D. Lucchesi , O. Lundh , E. Métral , F. Marhauser , S. Michizono , B. Militsyn , J. Mnich , E. Montesinos , N. Mounet , P. Muggli , P. Musumeci , S. Nagaitsev , T. Nakada , A. Neumann , D. Newbold , P. Nghiem , M. Noe , K. Oide , J. Osterhoff , M. Palmer , N. Pastrone , N. Pietralla , S. Prestemon , E. Previtali , T. Proslier , L. Quettier , T. Raubenheimer , B. Rimmer , L. Rivkin , E. Rochepault , C. Rogers , G. Rosaz , T. Roser , L. Rossi , R. Ruber , D. Schulte , M. Seidel , C. Senatore , B. Shepherd , J. Shi , N. Shipman , A. Specka , S. Stapnes , A. Stocchi , D. Stratakis , I. Syratchev , O. Tanaka , S. Tantawi , C. Tennant , E. Tsesmelis , C. Vaccarezza , A. -M. Valente , P. Védrine , J. Vieira , N. Vinokurov , H. Weise , M. Wenskat , P. Williams , M. Wing , A. Yamamoto , Y. Yamamoto , K. Yokoya , F. Zimmermann

Starting in two years from now, particle physics will enter a new regime in terms of energies and luminosities, thanks to the Large Hadron Collider (LHC) at CERN. This report summarizes the status of the preparations, both for the machine…

High Energy Physics - Experiment · Physics 2007-05-23 Guenther Dissertori

Machine learning has been applied to several problems in particle physics research, beginning with applications to high-level physics analysis in the 1990s and 2000s, followed by an explosion of applications in particle and event…

Computational Physics · Physics 2019-05-17 Kim Albertsson , Piero Altoe , Dustin Anderson , John Anderson , Michael Andrews , Juan Pedro Araque Espinosa , Adam Aurisano , Laurent Basara , Adrian Bevan , Wahid Bhimji , Daniele Bonacorsi , Bjorn Burkle , Paolo Calafiura , Mario Campanelli , Louis Capps , Federico Carminati , Stefano Carrazza , Yi-fan Chen , Taylor Childers , Yann Coadou , Elias Coniavitis , Kyle Cranmer , Claire David , Douglas Davis , Andrea De Simone , Javier Duarte , Martin Erdmann , Jonas Eschle , Amir Farbin , Matthew Feickert , Nuno Filipe Castro , Conor Fitzpatrick , Michele Floris , Alessandra Forti , Jordi Garra-Tico , Jochen Gemmler , Maria Girone , Paul Glaysher , Sergei Gleyzer , Vladimir Gligorov , Tobias Golling , Jonas Graw , Lindsey Gray , Dick Greenwood , Thomas Hacker , John Harvey , Benedikt Hegner , Lukas Heinrich , Ulrich Heintz , Ben Hooberman , Johannes Junggeburth , Michael Kagan , Meghan Kane , Konstantin Kanishchev , Przemysław Karpiński , Zahari Kassabov , Gaurav Kaul , Dorian Kcira , Thomas Keck , Alexei Klimentov , Jim Kowalkowski , Luke Kreczko , Alexander Kurepin , Rob Kutschke , Valentin Kuznetsov , Nicolas Köhler , Igor Lakomov , Kevin Lannon , Mario Lassnig , Antonio Limosani , Gilles Louppe , Aashrita Mangu , Pere Mato , Narain Meenakshi , Helge Meinhard , Dario Menasce , Lorenzo Moneta , Seth Moortgat , Mark Neubauer , Harvey Newman , Sydney Otten , Hans Pabst , Michela Paganini , Manfred Paulini , Gabriel Perdue , Uzziel Perez , Attilio Picazio , Jim Pivarski , Harrison Prosper , Fernanda Psihas , Alexander Radovic , Ryan Reece , Aurelius Rinkevicius , Eduardo Rodrigues , Jamal Rorie , David Rousseau , Aaron Sauers , Steven Schramm , Ariel Schwartzman , Horst Severini , Paul Seyfert , Filip Siroky , Konstantin Skazytkin , Mike Sokoloff , Graeme Stewart , Bob Stienen , Ian Stockdale , Giles Strong , Wei Sun , Savannah Thais , Karen Tomko , Eli Upfal , Emanuele Usai , Andrey Ustyuzhanin , Martin Vala , Justin Vasel , Sofia Vallecorsa , Mauro Verzetti , Xavier Vilasís-Cardona , Jean-Roch Vlimant , Ilija Vukotic , Sean-Jiun Wang , Gordon Watts , Michael Williams , Wenjing Wu , Stefan Wunsch , Kun Yang , Omar Zapata

Computing has become a major component of all particle physics experiments and in many areas of theoretical particle physics. Progress in HEP experiment and theory will require significantly more computing, software development, storage,…

High Energy Physics - Experiment · Physics 2013-11-12 Gregory Bell , Michael Ernst

Common and community software packages, such as ROOT, Geant4 and event generators have been a key part of the LHC's success so far and continued development and optimisation will be critical in the future. The challenges are driven by an…

Computational Physics · Physics 2020-09-01 HEP Software Foundation , : , Thea Aarrestad , Simone Amoroso , Markus Julian Atkinson , Joshua Bendavid , Tommaso Boccali , Andrea Bocci , Andy Buckley , Matteo Cacciari , Paolo Calafiura , Philippe Canal , Federico Carminati , Taylor Childers , Vitaliano Ciulli , Gloria Corti , Davide Costanzo , Justin Gage Dezoort , Caterina Doglioni , Javier Mauricio Duarte , Agnieszka Dziurda , Peter Elmer , Markus Elsing , V. Daniel Elvira , Giulio Eulisse , Javier Fernandez Menendez , Conor Fitzpatrick , Rikkert Frederix , Stefano Frixione , Krzysztof L Genser , Andrei Gheata , Francesco Giuli , Vladimir V. Gligorov , Hadrien Benjamin Grasland , Heather Gray , Lindsey Gray , Alexander Grohsjean , Christian Gütschow , Stephan Hageboeck , Philip Coleman Harris , Benedikt Hegner , Lukas Heinrich , Burt Holzman , Walter Hopkins , Shih-Chieh Hsu , Stefan Höche , Philip James Ilten , Vladimir Ivantchenko , Chris Jones , Michel Jouvin , Teng Jian Khoo , Ivan Kisel , Kyle Knoepfel , Dmitri Konstantinov , Attila Krasznahorkay , Frank Krauss , Benjamin Edward Krikler , David Lange , Paul Laycock , Qiang Li , Kilian Lieret , Miaoyuan Liu , Vladimir Loncar , Leif Lönnblad , Fabio Maltoni , Michelangelo Mangano , Zachary Louis Marshall , Pere Mato , Olivier Mattelaer , Joshua Angus McFayden , Samuel Meehan , Alaettin Serhan Mete , Ben Morgan , Stephen Mrenna , Servesh Muralidharan , Ben Nachman , Mark S. Neubauer , Tobias Neumann , Jennifer Ngadiuba , Isobel Ojalvo , Kevin Pedro , Maurizio Perini , Danilo Piparo , Jim Pivarski , Simon Plätzer , Witold Pokorski , Adrian Alan Pol , Stefan Prestel , Alberto Ribon , Martin Ritter , Andrea Rizzi , Eduardo Rodrigues , Stefan Roiser , Holger Schulz , Markus Schulz , Marek Schönherr , Elizabeth Sexton-Kennedy , Frank Siegert , Andrzej Siódmok , Graeme A Stewart , Malik Sudhir , Sioni Paris Summers , Savannah Jennifer Thais , Nhan Viet Tran , Andrea Valassi , Marc Verderi , Dorothea Vom Bruch , Gordon T. Watts , Torre Wenaus , Efe Yazgan

These days, while the landscape of discoveries at LHC has yet to be unveiled, planning for upgrades twenty years or more in advance towards a possible experimental scenario, might sound very imaginative and ambitious. Nevertheless, as plans…

Accelerator Physics · Physics 2011-08-09 M. Nessi

Chapter 13 in High-Luminosity Large Hadron Collider (HL-LHC) : Preliminary Design Report. The Large Hadron Collider (LHC) is one of the largest scientific instruments ever built. Since opening up a new energy frontier for exploration in…

Accelerator Physics · Physics 2017-05-31 E. Bravin , B. Dehning , R. Jones , T. Lefevre , H. Schmickler