Pere Mato

EDM4hep.jl: Analysing EDM4hep files with Julia

Pere Mato

EDM4hep aims to establish a standard event data model for the storage and exchange of event data in HEP experiments, thereby fostering collaboration across various experiments and analysis frameworks. The Julia package EDM4hep.jl is capable of generating Julia-friendly structures for the EDM4hep …

ch (code pays fourni par la source)

Julia in HEP

Graeme Andrew Stewart, Alexander Moreno Briceño, P. Gras, Benedikt Hegner et autres

Julia is a mature general-purpose programming language, with a large ecosystem of libraries and more than 12000 third-party packages, specifically targeting scientific computing. Julia runs on x86, aarch64 and PowerPC architectures, and on all major GPU platforms. As a language, Julia is …

ch, co, fr, de, us, gb (code pays fourni par la source)

Is Julia ready to be adopted by HEP?

T. Gal, P. Gras, Benedikt Hegner, Uwe Hernandez Acosta et autres

The Julia programming language was created 10 years ago and is now a mature and stable language with a large ecosystem including more than 8,000 third-party packages. It was designed for scientific programming to be a high-level and dynamic language as Python …

de, fr, ch, us, co (code pays fourni par la source)

Potential of the Julia Programming Language for High Energy Physics Computing

Jonas Nathanael Eschle, T. Gal, Mosé Giordano, P. Gras et autres

Abstract 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 for physicists, who focus on the …

ch, de, gb, fr, us, co (code pays fourni par la source)

GeantV

Guilherme Amadio, A. Ananya, J. Apostolakis, M. Bandieramonte et autres

Abstract Full detector simulation was among the largest CPU consumers in all CERN experiment software stacks for the first two runs of the Large Hadron Collider. In the early 2010s, it was projected that simulation demands would scale linearly with increasing luminosity, …

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GeantV: Results from the prototype of concurrent vector particle transport simulation in HEP

Guilherme Amadio, A. Ananya, J. Apostolakis, Marilena Bandieramonte et autres

Full detector simulation was among the largest CPU consumer in all CERN experiment software stacks for the first two runs of the Large Hadron Collider (LHC). In the early 2010's, the projections were that simulation demands would scale linearly with luminosity increase, …

Towards a Turnkey Software Stack for HEP Experiments

André Sailer, G. Ganis, Pere Mato, Marko Petrič et autres

Future HEP experiments require detailed simulation and advanced reconstruction algorithms to explore the physics reach of their proposed machines and to design, optimise, and study the detector geometry and performance. To synergize the development of the CLIC and FCC software efforts, the …

ch (code pays fourni par la source)

root-project/root: v6.18/02

René Brun, Fons Rademakers, Philippe Canal, N. A. Naumann et autres

Patch release for the v6.18 series. See also https://root.cern/content/release-61802

ch, us, gb (code pays fourni par la source)

A roadmap for HEP software and computing R&D for the 2020s

J. Albrecht, Antonio Augusto Alves Junior, Guilherme Amadio, Giuseppe Andronico et autres

Facilitating Collaborative Analysis in SWAN

Enrico Bocchi, Diogo Castro, Hugo Gonzalez, Massimo Lamanna et autres

SWAN (Service for Web-based ANalysis) is a CERN service that allows users to perform interactive data analysis in the cloud, in a “software as a service” model. It is built upon the widely-used Jupyter notebooks, allowing users to write - and run …

ch (code pays fourni par la source)

Electromagnetic physics vectorization in the GeantV transport framework

Guilherme Amadio, Ananya, J. Apostolakis, M. Bandieramonte et autres

The development of the GeantV Electromagnetic (EM) physics package has evolved following two necessary paths towards code modernization. A first phase required the revision of the main electromagnetic physics models and their implementation. The main objectives were to improve their accuracy, extend …

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Machine Learning in High Energy Physics Community White Paper

Kim Albertsson, Piero Altoè, Dustin Anderson, Michael Benjamin Andrews et autres

Machine learning is an important applied research area in particle physics, beginning with applications to high-level physics analysis in the 1990s and 2000s, followed by an explosion of applications in particle and event identification and reconstruction in the 2010s. In this document …

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