Software Training in HEP

Sudhir Malik¹, Samuel Meehan², Kilian Lieret³, Meirin Oan Evans⁴, Michel H Villanueva⁵, Daniel S Katz⁶, Graeme A Stewart², Peter Elmer⁷, Sizar Aziz⁸, Matthew Bellis⁹, Riccardo Maria Bianchi¹⁰, Gianluca Bianco^{11

12}, Johan Sebastian Bonilla¹³, Angela Burger¹⁴, Jackson Burzynski¹⁵, David Chamont⁸, Matthew Feickert⁶, Philipp Gadow¹⁶, Bernhard Manfred Gruber^{2

17

18}, Daniel Guest¹⁹, Stephan Hageboeck², Lukas Heinrich², Maximilian M Horzela²⁰, Marc Huwiler²¹, Clemens Lange², Konstantin Lehmann²², Ke Li²³, Devdatta Majumder²⁴, Judita Mamužić²⁵, Kevin Nelson²⁶, Robin Newhouse²⁷, Emery Nibigira²⁸, Scarlet Norberg¹, Arturo Sánchez Pineda²⁹, Mason Proffitt²³, Brendan Regnery¹³, Amber Roepe³⁰, Stefan Roiser², Henry Schreiner⁷, Oksana Shadura³¹, Giordon Stark³², Stephen Nicholas Swatman^{2

33}, Savannah Thais⁷, Andrea Valassi², Stefan Wunsch^{2

20}, David Yakobovitch³⁴, Siqi Yuan³⁵

Affiliations

¹ University of Puerto Rico, Mayaguez, PR USA.
² CERN, Geneva, Switzerland.
³ Ludwig Maximilian University of Munich, Munich, Germany.
⁴ University of Sussex, Brighton, UK.
⁵ University of Mississippi, Oxford, MS USA.
⁶ University of Illinois at Urbana-Champaign, Champaign, IL USA.
⁷ Princeton University, Princeton, NJ USA.
⁸ IJCLab, Université Paris-Saclay, CNRS/IN2P3, Orsay, France.
⁹ Siena College, Loudonville, NY USA.
¹⁰ University of Pittsburgh, Pittsburgh, PA USA.
¹¹ University of Bologna, Bologna, Italy.
¹² Istituto Nazionale di Fisica Nucleare (INFN), Rome, Italy.
¹³ University of California Davis, Davis, CA USA.
¹⁴ Oklahoma State University, Stillwater, OK 74078 USA.
¹⁵ University of Massachusetts, Amherst, MA USA.
¹⁶ Deutsches Elektronen-Synchrotron (DESY), Hamburg, Germany.
¹⁷ Center for Advanced Systems Understanding, Saxony, Germany.
¹⁸ Technische Universität Dresden, Dresden, Germany.
¹⁹ Humboldt University of Berlin, Berlin, Germany.
²⁰ Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany.
²¹ Universität Zürich, Zurich, Switzerland.
²² Simon Fraser University, Burnaby, BC Canada.
²³ University of Washington, Seattle, WA USA.
²⁴ Institut RuƉer Bošković, Zagreb, Croatia.
²⁵ Instituto de Fśsica Corpuscular/Consejo Superior de Investigaciones Científicas, University of Valencia, Valencia, Spain.
²⁶ University of Michigan, Ann Arbor, MI USA.
²⁷ University of British Columbia, Vancouver, Canada.
²⁸ Université de Strasbourg, CNRS, IPHC UMR 7178, Strasbourg, France.
²⁹ LAPP, Université Savoie Mont Blanc, CNRS/IN2P3, Annecy, France.
³⁰ University of Oklahoma, Norman, OK USA.
³¹ University of Nebraska, Lincoln, NE USA.
³² Santa Cruz Institute for Particle Physics, University of California, Santa Cruz, CA USA.
³³ University of Amsterdam, Amsterdam, The Netherlands.
³⁴ SingleStore, New York, USA.
³⁵ Boston University, Boston, USA.

PMID: 34642648
PMCID: PMC8497185
DOI: 10.1007/s41781-021-00069-9

Software Training in HEP

Sudhir Malik et al. Comput Softw Big Sci. 2021.

. 2021;5(1):22.

doi: 10.1007/s41781-021-00069-9. Epub 2021 Oct 8.

Authors

Affiliations

¹ University of Puerto Rico, Mayaguez, PR USA.
² CERN, Geneva, Switzerland.
³ Ludwig Maximilian University of Munich, Munich, Germany.
⁴ University of Sussex, Brighton, UK.
⁵ University of Mississippi, Oxford, MS USA.
⁶ University of Illinois at Urbana-Champaign, Champaign, IL USA.
⁷ Princeton University, Princeton, NJ USA.
⁸ IJCLab, Université Paris-Saclay, CNRS/IN2P3, Orsay, France.
⁹ Siena College, Loudonville, NY USA.
¹⁰ University of Pittsburgh, Pittsburgh, PA USA.
¹¹ University of Bologna, Bologna, Italy.
¹² Istituto Nazionale di Fisica Nucleare (INFN), Rome, Italy.
¹³ University of California Davis, Davis, CA USA.
¹⁴ Oklahoma State University, Stillwater, OK 74078 USA.
¹⁵ University of Massachusetts, Amherst, MA USA.
¹⁶ Deutsches Elektronen-Synchrotron (DESY), Hamburg, Germany.
¹⁷ Center for Advanced Systems Understanding, Saxony, Germany.
¹⁸ Technische Universität Dresden, Dresden, Germany.
¹⁹ Humboldt University of Berlin, Berlin, Germany.
²⁰ Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany.
²¹ Universität Zürich, Zurich, Switzerland.
²² Simon Fraser University, Burnaby, BC Canada.
²³ University of Washington, Seattle, WA USA.
²⁴ Institut RuƉer Bošković, Zagreb, Croatia.
²⁵ Instituto de Fśsica Corpuscular/Consejo Superior de Investigaciones Científicas, University of Valencia, Valencia, Spain.
²⁶ University of Michigan, Ann Arbor, MI USA.
²⁷ University of British Columbia, Vancouver, Canada.
²⁸ Université de Strasbourg, CNRS, IPHC UMR 7178, Strasbourg, France.
²⁹ LAPP, Université Savoie Mont Blanc, CNRS/IN2P3, Annecy, France.
³⁰ University of Oklahoma, Norman, OK USA.
³¹ University of Nebraska, Lincoln, NE USA.
³² Santa Cruz Institute for Particle Physics, University of California, Santa Cruz, CA USA.
³³ University of Amsterdam, Amsterdam, The Netherlands.
³⁴ SingleStore, New York, USA.
³⁵ Boston University, Boston, USA.

PMID: 34642648
PMCID: PMC8497185
DOI: 10.1007/s41781-021-00069-9

Abstract

The long-term sustainability of the high-energy physics (HEP) research software ecosystem is essential to the field. With new facilities and upgrades coming online throughout the 2020s, this will only become increasingly important. Meeting the sustainability challenge requires a workforce with a combination of HEP domain knowledge and advanced software skills. The required software skills fall into three broad groups. The first is fundamental and generic software engineering (e.g., Unix, version control, C++, and continuous integration). The second is knowledge of domain-specific HEP packages and practices (e.g., the ROOT data format and analysis framework). The third is more advanced knowledge involving specialized techniques, including parallel programming, machine learning and data science tools, and techniques to maintain software projects at all scales. This paper discusses the collective software training program in HEP led by the HEP Software Foundation (HSF) and the Institute for Research and Innovation in Software in HEP (IRIS-HEP). The program equips participants with an array of software skills that serve as ingredients for the solution of HEP computing challenges. Beyond serving the community by ensuring that members are able to pursue research goals, the program serves individuals by providing intellectual capital and transferable skills important to careers in the realm of software and computing, inside or outside HEP.

Keywords: HEP; Software; Training.

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Conflict of interest statement

Conflict of InterestThe authors have no conflicts of interest to declare that are relevant to the content of this article.

Figures

**Fig. 1**
The self-reported pre- and post-training level of knowledge on the topic of Docker (a software container technology)

See this image and copyright information in PMC

References

1. High-luminosity LHC. https://home.cern/science/accelerators/high-luminosity-lhc. Accessed 6 Oct 2021
1. Papadimitriou V, Ammigan K, au2 JAJ, Anderson KE, Andrews R, Bocean V, Crowley CF, Eddy N, Hartsell BD, Hays S, Hurh P, Hylen J, Johnstone JA, Kasper P, Kobilarcik T, Krafczyk GE, Lundberg B, Marchionni A, Mokhov NV, Moore CD, Pushka D, Rakhno I, Reitzner SD, Schlabach P, Sidorov V, Stefanik AM, Tariq S, Valerio L, Vaziri K, Velev G, Vogel G, Williams K, Zwaska RM, Densham C (2017) Design of the LBNF beamline. https://arxiv.org/abs/1704.04471
1. Deep Underground Neutrino Experiment. https://lbnf-dune.fnal.gov/. Accessed 6 Oct 2021
1. High Energy Physics Software Foundation. https://hepsoftwarefoundation.org/. Accessed 6 Oct 2021
1. Institute for Research and Innovation in Software for High Energy Physics (IRIS-HEP). https://iris-hep.org. Accessed 6 Oct 2021

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Software Training in HEP

Affiliations

Software Training in HEP

Authors

Affiliations

Abstract

Conflict of interest statement

Figures

References

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