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Helix is an open-source, extensible, Python-based software framework to facilitate reproducible and interpretable machine learning workflows for tabular data. It addresses the growing need for transparent experimental data analytics…

High-throughput $ab$ $initio$ calculations are the indispensable parts of data-driven discovery of new materials with desirable properties, as reflected in the establishment of several online material databases. The accumulation of…

Computational Physics · Physics 2024-07-30 Niraj K. Nepal , Paul C. Canfield , Lin-Lin Wang

This is a personal perspective on data sharing in the context of public data releases suitable for generic analysis. These open data can be a powerful tool for expanding the science of high energy physics, but care must be taken in when,…

High Energy Physics - Phenomenology · Physics 2022-08-18 Benjamin Nachman

The study of plasma physics under conditions of extreme temperatures, densities and electromagnetic field strengths is significant for our understanding of astrophysics, nuclear fusion and fundamental physics. These extreme physical systems…

The aim of this white paper is to highlight several areas for which the Department of Energy's Office of Nuclear Physics has primary stewardship or significant investment and expertise, and for which there is also significant interest and…

High Energy Physics - Phenomenology · Physics 2023-01-10 Tanmoy Bhattacharya , Rajan Gupta , Kate Scholberg

Optimising use of the Web (WWW) for LHC data analysis is a complex problem and illustrates the challenges arising from the integration of and computation across massive amounts of information distributed worldwide. Finding the right piece…

Instrumentation and Detectors · Physics 2014-11-18 Nigel Baker , Peter Brooks , Richard McClatchey , Zsolt Kovacs , Jean-Marie Le Goff

The installation and maintenance of scientific software for research in experimental, phenomenological, and theoretical High Energy Physics (HEP) requires a considerable amount of time and expertise. While many tools are available to make…

Computational Physics · Physics 2023-03-01 Thomas Hahn , Andrii Verbytskyi

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

To maximize the technology transfer potential, it is important to create an ecosystem for the inventors to adapt the technologies developed for basic science to successful commercial ventures. In this white paper we present a brief overview…

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

The growing role of data science (DS) and machine learning (ML) in high-energy physics (HEP) is well established and pertinent given the complex detectors, large data, sets and sophisticated analyses at the heart of HEP research. Moreover,…

The Herschel Space Observatory is the fourth cornerstone mission in the ESA science programme and performs photometry and spectroscopy in the 55 - 672 micron range. The development of the Herschel Data Processing System started in 2002 to…

Instrumentation and Methods for Astrophysics · Physics 2010-11-05 Stephan Ott , Herschel Science Centre , European Space Agency

High-energy physics is primarily concerned with uncovering the laws and principles that govern nature at the fundamental level. Research in this field usually relies on probing the boundaries of established physics, an undertaking typically…

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…

The IRIS-HEP Analysis Grand Challenge (AGC) is designed to be a realistic environment for investigating how analysis methods scale to the demands of the HL-LHC. The analysis task is based on publicly available Open Data and allows for…

High Energy Physics - Experiment · Physics 2023-04-12 Oksana Shadura , Alexander Held

Reproducibility should be a cornerstone of scientific research and is a growing concern among the scientific community and the public. Understanding how to design services and tools that support documentation, preservation and sharing is…

Human-Computer Interaction · Computer Science 2019-03-15 Sebastian S. Feger , Sünje Dallmeier-Tiessen , Albrecht Schmidt , Paweł W. Woźniak

Setting up the infrastructure to manage a software project can become a task as significant writing the software itself. A variety of useful open source tools are available, such as Web-based viewers for version control systems, "wikis" for…

High Energy Physics - Phenomenology · Physics 2007-05-23 A. Buckley , J. M. Butterworth , E. Nurse , W. J. Stirling , B. Waugh , M. R. Whalley

The INSPIRE platform -- the most widely-used discovery service specifically tailored to the needs of researchers in High Energy Physics (HEP) -- has become a central component of the information infrastructure for the discipline. Despite…

High Energy Physics - Phenomenology · Physics 2025-06-04 Sabine Crépé-Renaudin , Alexander Kohls , Micha Moskovic , Heath O'Connell , Kirsten Sachs , Jian Yu

ALHEP is the symbolic algebra program for high-energy physics. It deals with amplitudes calculation, matrix element squaring, Wick theorem, dimensional regularization, tensor reduction of loop integrals and simplification of final…

High Energy Physics - Phenomenology · Physics 2007-05-23 V. Makarenko
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