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Related papers: The DPHEP Study Group: Data Preservation in High E…

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These proceedings outline steps toward a systematic analysis of frontier energy collider data: specifically, those data collected at Tevatron Runs I and II, LEP Run II, HERA Runs I and II, and the future LHC. Algorithms designed to…

High Energy Physics - Experiment · Physics 2009-11-10 Bruce Knuteson

We introduce a Python package that provides simply and unified access to a collection of datasets from fundamental physics research - including particle physics, astroparticle physics, and hadron- and nuclear physics - for supervised…

Data analysis in high-energy physics (HEP) begins with data reduction, where vast datasets are filtered to extract relevant events. At the Large Hadron Collider (LHC), this process is bottlenecked by slow data transfers between storage and…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-06-06 Narangerelt Batsoyol , Jonathan Guiang , Diego Davila , Aashay Arora , Philip Chang , Frank Würthwein , Steven Swanson

This work investigates the out-of-equilibrium dynamics of dipole and higher-moment conserving systems with long-range interactions, drawing inspiration from trapped ion experiments in strongly tilted potentials. We introduce a hierarchical…

Statistical Mechanics · Physics 2023-11-14 Jacopo Gliozzi , Julian May-Mann , Taylor L. Hughes , Giuseppe De Tomasi

Unfolding, in the context of high-energy particle physics, refers to the process of removing detector distortions in experimental data. The resulting unfolded measurements are straightforward to use for direct comparisons between…

The LHC effective field theory working group gathers members of the LHC experiments and the theory community to provide a framework for the interpretation of LHC data in the context of EFT. In this note we discuss experimental observables…

High Energy Physics - Phenomenology · Physics 2022-11-17 N. Castro , K. Cranmer , A. V. Gritsan , J. Howarth , G. Magni , K. Mimasu , J. Rojo , J. Roskes , E. Vryonidou , T. You

Beginning from a basic neural-network architecture, we test the potential benefits offered by a range of advanced techniques for machine learning, in particular deep learning, in the context of a typical classification problem encountered…

Data Analysis, Statistics and Probability · Physics 2020-06-03 Giles Chatham Strong

This manuscript aims to formalize and conclude the discussions initiated during the PriTEM workshop 22-23 March 2023. We present important ideas and discussion topics in the context of transactive energy systems. Moreover, the conclusions…

The quest to understand the fundamental building blocks of nature and their interactions is one of the oldest and most ambitious of human scientific endeavors. Facilities such as CERN's Large Hadron Collider (LHC) represent a huge step…

Computational Physics · Physics 2018-04-06 Peter Elmer , Mark Neubauer , Michael D. Sokoloff

The Nuclear Physics European Collaboration Committee ( NuPECC, http://nupecc.org/ ) hosted by the European Science Foundation represents today a large nuclear physics community from 23 countries, 3 ESFRI (European Strategy Forum for…

Nuclear Experiment · Physics 2025-06-10 NuPECC

I would like to thank Junk and Lyons (arXiv:2009.06864) for beginning a discussion about replication in high-energy physics (HEP). Junk and Lyons ultimately argue that HEP learned its lessons the hard way through past failures and that…

Data Analysis, Statistics and Probability · Physics 2021-05-10 Andrew Fowlie

Electromagnetic (EM) probes such as photons and dileptons provide direct insight into the space-time evolution of the hot and dense matter formed in heavy-ion collisions. Being unaffected by strong interactions, they serve as penetrating…

Nuclear Experiment · Physics 2025-10-01 Sebastian Scheid

Recent experimental and theoretical developments in the understanding of high energy diffraction, presented in the working group on diffraction at DIS98 in Brussels, are summarised. A template, giving the definition of the most commonly…

High Energy Physics - Phenomenology · Physics 2007-05-23 A. Goussiou , M. McDermott , N. N. Nikolaev , R. Roosen , K. Piotrzkowski

The high energy program of the HERA $ep$ collider ended in March 2007, where data equivalent to an integrated luminosity of $\sim$ 0.5 fb$^{-1}$ has been collected by the H1 experiment. In this context, some of the most recent results from…

High Energy Physics - Experiment · Physics 2009-06-12 Trinh Thi Nguyet

A role of Java in high-energy physics and recent progress in development of a platform-independent data-analysis framework, jHepWork, is discussed. The framework produces professional graphics and has many libraries for data manipulation.

Computational Engineering, Finance, and Science · Computer Science 2009-02-09 S. Chekanov

We review recent theoretical ideas and experimental data in high-energy heavy ion collisions with special emphasis in the hard probes.

High Energy Physics - Phenomenology · Physics 2007-05-23 Carlos A. Salgado

High energy density physics (HEDP) experiments commonly involve a dynamic wave-front propagating inside a low-density foam. This effect affects its density and hence, its transparency. A common problem in foam production is the creation of…

Computer Vision and Pattern Recognition · Computer Science 2022-08-16 Nadav Schneider , Matan Rusanovsky , Raz Gvishi , Gal Oren

Nowadays, there has been a growing trend in the field of high-energy physics (HEP), in both its experimental and phenomenological studies, to incorporate machine learning (ML) and its specialized branch, deep learning (DL). This review…

High Energy Physics - Phenomenology · Physics 2025-10-27 Hamza Kheddar , Yassine Himeur , Abbes Amira , Rachik Soualah

In this paper we describe the present status and our plans for the realization of next phases of the CalcPHEP project aimed at the theoretical support of experiments at modern and future accelerators: TEVATRON, LHC, electron Linear…

High Energy Physics - Phenomenology · Physics 2007-05-23 D. Bardin , G. Passarino , L. Kalinovskaya , P. Christova , A. Andonov , S. Bondarenko , G. Nanava