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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…

This dissertation focuses on the development process of scientific software. It presents a methodology that has emerged over time during development of Monte Carlo tools for high energy physics experiments. A short description of the…

Software Engineering · Computer Science 2022-03-23 T. Przedzinski

A working group on detector simulation was formed as part of the high-energy physics (HEP) Software Foundation's initiative to prepare a Community White Paper that describes the main software challenges and opportunities to be faced in the…

The Large Hadron Collider (LHC) at CERN has generated in the last decade an unprecedented volume of data for the High-Energy Physics (HEP) field. Scientific collaborations interested in analysing such data very often require computing power…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-06-03 Jacek Kuśnierz , Vincenzo Eduardo Padulano , Maciej Malawski , Kamil Burkiewicz , Enric Tejedor Saavedra , Pedro Alonso-Jordá , Michael Pitt , Valentina Avati

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…

Research in high energy physics (HEP) requires huge amounts of computing and storage, putting strong constraints on the code speed and resource usage. To meet these requirements, a compiled high-performance language is typically used; while…

We present the material and resources developed for training physicists on containerization technologies enabled by Apptainer. In the context of analysis preservation using Apptainer's capabilities, we have developed examples that execute…

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.

Data from high-energy physics (HEP) experiments are collected with significant financial and human effort and are in many cases unique. At the same time, HEP has no coherent strategy for data preservation and re-use, and many important and…

High Energy Physics - Experiment · Physics 2015-05-27 David M. South

Access to previous results is of paramount importance in the scientific process. Recent progress in information management focuses on building e-infrastructures for the optimization of the research workflow, through both policy-driven and…

Digital Libraries · Computer Science 2009-01-08 Anne Gentil-Beccot , Salvatore Mele , Annette Holtkamp , Heath B. O'Connell , Travis C. Brooks

The HEP Software Foundation was founded in 2014 to tackle common problems of software development and sustainability for high-energy physics. In this paper we outline the motivation for the founding of the organisation and give a brief…

Computational Physics · Physics 2022-05-18 Graeme A Stewart , Peter Elmer , Elizabeth Sexton-Kennedy

While in the early 90s High Energy Physics (HEP) lead the computing industry by establishing the HTTP protocol and the first web-servers, the long time-scale for planning and building modern HEP experiments has resulted in a generally slow…

High Energy Physics - Experiment · Physics 2009-10-20 Amir Farbin

Data from high-energy physics experiments are collected with significant financial and human effort and are mostly unique. However, until recently no coherent strategy existed for data preservation and re-use, and many important and complex…

High Energy Physics - Experiment · Physics 2015-06-03 Roman Kogler , David M. South , Michael Steder

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 November 2022, the HEP Software Foundation and the Institute for Research and Innovation for Software in High-Energy Physics organized a workshop on the topic of Software Citation and Recognition in HEP. The goal of the workshop was to…

High Energy Physics - Experiment · Physics 2024-01-05 Matthew Feickert , Daniel S. Katz , Mark S. Neubauer , Elizabeth Sexton-Kennedy , Graeme A. Stewart

We present an application, EasyScan_HEP, for connecting programs to scan the parameter space of High Energy Physics (HEP) models using various sampling algorithms. We develop EasyScan_HEP according to the principle of flexibility and…

High Energy Physics - Phenomenology · Physics 2023-12-04 Liangliang Shang , Yang Zhang

Searches for new physics in high-energy physics (HEP) experiments commonly rely on interactions with materials. A burgeoning direction is the accurate calculation and design of materials for HEP applications. In this Snowmass contribution,…

High Energy Physics - Experiment · Physics 2022-05-24 Sinéad M. Griffin

The high energy physics community is discussing where investment is needed to prepare software for the HL-LHC and its unprecedented challenges. The ROOT project is one of the central software players in high energy physics since decades.…

Scientific results in high-energy physics and in many other fields often rely on complex software stacks. In order to support reproducibility and scrutiny of the results, it is good practice to use open source software and to cite software…

Software Engineering · Computer Science 2014-07-14 Jakob Blomer , Dario Berzano , Predrag Buncic , Ioannis Charalampidis , Gerardo Ganis , George Lestaris , René Meusel