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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…

Exploratory data analysis tools must respond quickly to a user's questions, so that the answer to one question (e.g. a visualized histogram or fit) can influence the next. In some SQL-based query systems used in industry, even very large…

Distributed, Parallel, and Cluster Computing · Computer Science 2017-11-09 Jim Pivarski , David Lange , Thanat Jatuphattharachat

Efficient handling of large data-volumes becomes a necessity in today's world. It is driven by the desire to get more insight from the data and to gain a better understanding of user trends which can be transformed into economic incentives…

Data Analysis, Statistics and Probability · Physics 2019-10-02 Valentin Kuznetsov

The study group on data preservation in high energy physics, DPHEP, is moving to a new collaboration structure, which will focus on the implementation of preservation projects, such as those described in the group's large scale report…

High Energy Physics - Experiment · Physics 2015-06-17 Dmitri Ozerov , David M. South

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.

HEP Analysis Facility is a cluster designed and implemented in Scientific Linux Cern 5.5 to grant High Energy Physics researchers one place where they can go to undertake a particular task or to provide a parallel processing architecture in…

Distributed, Parallel, and Cluster Computing · Computer Science 2015-03-13 Vivek Chalotra , Anju Bhasin , Anik Gupta , Sanjeev Singh Sambyal

The field of high-energy physics (HEP), along with many scientific disciplines, is currently experiencing a dramatic influx of new methodologies powered by modern machine learning techniques. Over the last few years, a growing body of HEP…

High Energy Physics - Phenomenology · Physics 2019-10-22 Benjamin Nachman , Chase Shimmin

Particle physics has an ambitious and broad experimental programme for the coming decades. This programme requires large investments in detector hardware, either to build new facilities and experiments, or to upgrade existing ones.…

Computational Physics · Physics 2020-02-07 Johannes Albrecht , Antonio Augusto Alves , Guilherme Amadio , Giuseppe Andronico , Nguyen Anh-Ky , Laurent Aphecetche , John Apostolakis , Makoto Asai , Luca Atzori , Marian Babik , Giuseppe Bagliesi , Marilena Bandieramonte , Sunanda Banerjee , Martin Barisits , Lothar A. T. Bauerdick , Stefano Belforte , Douglas Benjamin , Catrin Bernius , Wahid Bhimji , Riccardo Maria Bianchi , Ian Bird , Catherine Biscarat , Jakob Blomer , Kenneth Bloom , Tommaso Boccali , Brian Bockelman , Tomasz Bold , Daniele Bonacorsi , Antonio Boveia , Concezio Bozzi , Marko Bracko , David Britton , Andy Buckley , Predrag Buncic , Paolo Calafiura , Simone Campana , Philippe Canal , Luca Canali , Gianpaolo Carlino , Nuno Castro , Marco Cattaneo , Gianluca Cerminara , Javier Cervantes Villanueva , Philip Chang , John Chapman , Gang Chen , Taylor Childers , Peter Clarke , Marco Clemencic , Eric Cogneras , Jeremy Coles , Ian Collier , David Colling , Gloria Corti , Gabriele Cosmo , Davide Costanzo , Ben Couturier , Kyle Cranmer , Jack Cranshaw , Leonardo Cristella , David Crooks , Sabine Crépé-Renaudin , Robert Currie , Sünje Dallmeier-Tiessen , Kaushik De , Michel De Cian , Albert De Roeck , Antonio Delgado Peris , Frédéric Derue , Alessandro Di Girolamo , Salvatore Di Guida , Gancho Dimitrov , Caterina Doglioni , Andrea Dotti , Dirk Duellmann , Laurent Duflot , Dave Dykstra , Katarzyna Dziedziniewicz-Wojcik , Agnieszka Dziurda , Ulrik Egede , Peter Elmer , Johannes Elmsheuser , V. Daniel Elvira , Giulio Eulisse , Steven Farrell , Torben Ferber , Andrej Filipcic , Ian Fisk , Conor Fitzpatrick , José Flix , Andrea Formica , Alessandra Forti , Giovanni Franzoni , James Frost , Stu Fuess , Frank Gaede , Gerardo Ganis , Robert Gardner , Vincent Garonne , Andreas Gellrich , Krzysztof Genser , Simon George , Frank Geurts , Andrei Gheata , Mihaela Gheata , Francesco Giacomini , Stefano Giagu , Manuel Giffels , Douglas Gingrich , Maria Girone , Vladimir V. Gligorov , Ivan Glushkov , Wesley Gohn , Jose Benito Gonzalez Lopez , Isidro González Caballero , Juan R. González Fernández , Giacomo Govi , Claudio Grandi , Hadrien Grasland , Heather Gray , Lucia Grillo , Wen Guan , Oliver Gutsche , Vardan Gyurjyan , Andrew Hanushevsky , Farah Hariri , Thomas Hartmann , John Harvey , Thomas Hauth , Benedikt Hegner , Beate Heinemann , Lukas Heinrich , Andreas Heiss , José M. Hernández , Michael Hildreth , Mark Hodgkinson , Stefan Hoeche , Burt Holzman , Peter Hristov , Xingtao Huang , Vladimir N. Ivanchenko , Todor Ivanov , Jan Iven , Brij Jashal , Bodhitha Jayatilaka , Roger Jones , Michel Jouvin , Soon Yung Jun , Michael Kagan , Charles William Kalderon , Meghan Kane , Edward Karavakis , Daniel S. Katz , Dorian Kcira , Oliver Keeble , Borut Paul Kersevan , Michael Kirby , Alexei Klimentov , Markus Klute , Ilya Komarov , Dmitri Konstantinov , Patrick Koppenburg , Jim Kowalkowski , Luke Kreczko , Thomas Kuhr , Robert Kutschke , Valentin Kuznetsov , Walter Lampl , Eric Lancon , David Lange , Mario Lassnig , Paul Laycock , Charles Leggett , James Letts , Birgit Lewendel , Teng Li , Guilherme Lima , Jacob Linacre , Tomas Linden , Miron Livny , Giuseppe Lo Presti , Sebastian Lopienski , Peter Love , Adam Lyon , Nicolò Magini , Zachary L. Marshall , Edoardo Martelli , Stewart Martin-Haugh , Pere Mato , Kajari Mazumdar , Thomas McCauley , Josh McFayden , Shawn McKee , Andrew McNab , Rashid Mehdiyev , Helge Meinhard , Dario Menasce , Patricia Mendez Lorenzo , Alaettin Serhan Mete , Michele Michelotto , Jovan Mitrevski , Lorenzo Moneta , Ben Morgan , Richard Mount , Edward Moyse , Sean Murray , Armin Nairz , Mark S. Neubauer , Andrew Norman , Sérgio Novaes , Mihaly Novak , Arantza Oyanguren , Nurcan Ozturk , Andres Pacheco Pages , Michela Paganini , Jerome Pansanel , Vincent R. Pascuzzi , Glenn Patrick , Alex Pearce , Ben Pearson , Kevin Pedro , Gabriel Perdue , Antonio Perez-Calero Yzquierdo , Luca Perrozzi , Troels Petersen , Marko Petric , Andreas Petzold , Jónatan Piedra , Leo Piilonen , Danilo Piparo , Jim Pivarski , Witold Pokorski , Francesco Polci , Karolos Potamianos , Fernanda Psihas , Albert Puig Navarro , Günter Quast , Gerhard Raven , Jürgen Reuter , Alberto Ribon , Lorenzo Rinaldi , Martin Ritter , James Robinson , Eduardo Rodrigues , Stefan Roiser , David Rousseau , Gareth Roy , Grigori Rybkine , Andre Sailer , Tai Sakuma , Renato Santana , Andrea Sartirana , Heidi Schellman , Jaroslava Schovancová , Steven Schramm , Markus Schulz , Andrea Sciabà , Sally Seidel , Sezen Sekmen , Cedric Serfon , Horst Severini , Elizabeth Sexton-Kennedy , Michael Seymour , Davide Sgalaberna , Illya Shapoval , Jamie Shiers , Jing-Ge Shiu , Hannah Short , Gian Piero Siroli , Sam Skipsey , Tim Smith , Scott Snyder , Michael D. Sokoloff , Panagiotis Spentzouris , Hartmut Stadie , Giordon Stark , Gordon Stewart , Graeme A. Stewart , Arturo Sánchez , Alberto Sánchez-Hernández , Anyes Taffard , Umberto Tamponi , Jeff Templon , Giacomo Tenaglia , Vakhtang Tsulaia , Christopher Tunnell , Eric Vaandering , Andrea Valassi , Sofia Vallecorsa , Liviu Valsan , Peter Van Gemmeren , Renaud Vernet , Brett Viren , Jean-Roch Vlimant , Christian Voss , Margaret Votava , Carl Vuosalo , Carlos Vázquez Sierra , Romain Wartel , Gordon T. Watts , Torre Wenaus , Sandro Wenzel , Mike Williams , Frank Winklmeier , Christoph Wissing , Frank Wuerthwein , Benjamin Wynne , Zhang Xiaomei , Wei Yang , Efe Yazgan

In this work we demonstrate that significant gains in performance and data efficiency can be achieved in High Energy Physics (HEP) by moving beyond the standard paradigm of sequential optimization or reconstruction and analysis components.…

High Energy Physics - Experiment · Physics 2024-01-26 Matthias Vigl , Nicole Hartman , Lukas Heinrich

The accumulation of a large amount of new experimental data at an impressive rate at present and future collider experiments has led to important questions concerning data storage and organization, their public access and usability, as well…

High Energy Physics - Phenomenology · Physics 2019-07-30 Andrea Ceccarelli , Andrea Cioni , Maria Vittoria Garzelli , Piergiulio Lenzi , Laura Redapi

HEP data-processing software must support the disparate physics needs of many experiments. For both collider and neutrino environments, HEP experiments typically use data-processing frameworks to manage the computational complexities of…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-03-29 Christopher D. Jones , Kyle Knoepfel , Paolo Calafiura , Charles Leggett , Vakhtang Tsulaia

In high-energy physics (HEP), both the exclusion and discovery of new theories depend not only on the acquisition of high-quality experimental data but also on the rigorous application of statistical methods. These methods provide…

High Energy Physics - Phenomenology · Physics 2024-11-04 Alejandro Segura , Angie Catalina Parra

Among the upgrades in current high energy physics (HEP) experiments and the new facilities coming online, solving software challenges has become integral for the success of the collaborations, The demand for human resources highly-skilled…

Physics Education · Physics 2023-03-01 Michel H. Villanueva , Sudhir Malik , Meirin Oan Evans

New facilities of the 2020s, such as the High Luminosity Large Hadron Collider (HL-LHC), will be relevant through at least the 2030s. This means that their software efforts and those that are used to analyze their data need to consider…

Several important and unique experimental high-energy physics programmes at a variety of facilities are coming to an end, including those at HERA, the B-factories and the Tevatron. The wealth of physics data from these experiments is the…

High Energy Physics - Experiment · Physics 2015-06-05 David M. South

Software and Computing (S&C) are essential to all High Energy Physics (HEP) experiments and many theoretical studies. The size and complexity of S&C are now commensurate with that of experimental instruments, playing a critical role in…

Data analysis in fundamental sciences nowadays is an essential process that pushes frontiers of our knowledge and leads to new discoveries. At the same time we can see that complexity of those analyses increases fast due to a)~enormous…

Data Analysis, Statistics and Probability · Physics 2016-01-20 Tatiana Likhomanenko , Alex Rogozhnikov , Alexander Baranov , Egor Khairullin , Andrey Ustyuzhanin

The H1 data preservation project was started in 2009 as part of the global data preservation initiative in high-energy physics, DPHEP. In order to retain the full potential for future improvements, the H1 Collaboration aims for level 4 of…

Data Analysis, Statistics and Probability · Physics 2015-06-05 David M. South , Michael Steder