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Related papers: HEPData: a repository for high energy physics data

200 papers

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

As particle physics experiments push their limits on both the energy and the intensity frontiers, the amount and complexity of the produced data are also expected to increase accordingly. With such large data volumes, next-generation…

High Energy Physics - Experiment · Physics 2022-03-16 Amit Bashyal , Peter Van Gemmeren , Saba Sehrish , Kyle Knoepfel , Suren Byna , Qiao Kang

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

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

Large High Energy Physics (HEP) experiments adopted a distributed computing model more than a decade ago. WLCG, the global computing infrastructure for LHC, in partnership with the US Open Science Grid, has achieved data management at the…

The true power of computational research typically can lay in either what it accomplishes or what it enables others to accomplish. In this work, both avenues are simultaneously embraced across several distinct efforts existing at three…

Materials Science · Physics 2024-11-06 Adam M. Krajewski

Particle physics has an ambitious and broad global experimental programme for the coming decades. Large investments in building new facilities are already underway or under consideration. Scaling the present processing power and data…

Domain Incremental Learning is a critical scenario that requires models to continuously adapt to new data domains without retraining. However, domain shifts often cause severe performance degradation. To address this, we propose Hybrid…

Artificial Intelligence · Computer Science 2026-05-08 Yu Feng , Zhen Tian , Haoran Luo , Xie Yu , Diancheng Cheng , Haoyue Zheng , Shuai Lyu , Ping Zong , Lianyuan Li , Xin Ge , Yifan Zhu

Petabytes of data are to be processed and stored requiring millions of CPU-years in high energy particle (HEP) physics event simulation. This enormous demand is handled in worldwide distributed computing centers as part of the LHC computing…

Instrumentation and Detectors · Physics 2017-04-26 T. Harenberg , N. Lang , P. Mättig , M. Sandhoff , F. Volkmer , T. Kuhl , C. Schwanenberger

Some of the biggest achievements of the modern era of particle physics, such as the discovery of the Higgs boson, have been made possible by the tremendous effort in building and operating large-scale experiments like the Large Hadron…

A WEB-portal HepWeb allows users to perform the most popular calculations in high energy physics - calculations of hadron-hadron, hadron-nucleus and nucleus-nucleus interaction cross sections as well as calculations of secondary particles…

High Energy Physics - Phenomenology · Physics 2012-09-03 E. I. Alexandrov , V. M. Kotov , V. V. Uzhinsky , P. V. Zrelov

In this paper, we present the Home Electricity Data Generator (HEDGE), an open-access tool for the random generation of realistic residential energy data. HEDGE generates realistic daily profiles of residential PV generation, household…

Systems and Control · Electrical Eng. & Systems 2023-10-04 Flora Charbonnier , Thomas Morstyn , Malcolm McCulloch

In energy modelling, open data and open source code can help enhance traceability and reproducibility of model exercises which contribute to facilitate controversial debates and improve policy advice. While the availability of open power…

Computers and Society · Computer Science 2018-09-05 Fabian Gotzens , Heidi Heinrichs , Jonas Hörsch , Fabian Hofmann

The LEP data represents the most precise and highest centre-of-mass energy sample of $e^+e^-$ collision data collected to date. Numerous scientific articles have been published since the conclusion of the experiments, underscoring the…

High Energy Physics - Experiment · Physics 2026-03-17 Jacopo Fanini , Gerardo Ganis , Marcello Maggi

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…

At the heart of experimental high energy physics (HEP) is the development of facilities and instrumentation that provide sensitivity to new phenomena. Our understanding of nature at its most fundamental level is advanced through the…

In November 2022, the HEP Software Foundation and the Institute for Research and Innovation for Software in High-Energy Physics organized a workshop on the topic of Software Citation and Recognition in HEP. The goal of the workshop was to…

High Energy Physics - Experiment · Physics 2024-01-05 Matthew Feickert , Daniel S. Katz , Mark S. Neubauer , Elizabeth Sexton-Kennedy , Graeme A. Stewart

This is a report from the Libraries and Tools Working Group of the High Energy Physics Forum for Computational Excellence. It presents the vision of the working group for how the HEP software community may organize and be supported in order…

High Energy Physics - Experiment · Physics 2015-06-04 Anders Borgland , Peter Elmer , Michael Kirby , Simon Patton , Maxim Potekhin , Brett Viren , Brian Yanny

Data access is key to science driven by distributed high-throughput computing (DHTC), an essential technology for many major research projects such as High Energy Physics (HEP) experiments. However, achieving efficient data access becomes…

The quality of electricity system modelling heavily depends on the input data used. Although a lot of data is publicly available, it is often dispersed, tedious to process and partly contains errors. We argue that a central provision of…