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Related papers: A Vision on the Status and Evolution of HEP Physic…

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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 control system of the VEPP-4 facility was designed more than fifteen years ago and based on the home-developed CAMAC-embedded minicomputers Odrenok [1]. Five years ago, all computers were connected via Ethernet network. This step…

Future HEP experiments present stringent challenges to calorimeter materials in radiation tolerance, time response and project cost. The 2019 report of the DOE Basic Research Needs Study on High Energy Physics Detector Research and…

Instrumentation and Detectors · Physics 2022-03-15 Minfang Yeh , Ren-Yuan Zhu

Computing plays a significant role in all areas of high energy physics. The Snowmass 2021 CompF4 topical group's scope is facilities R&D, where we consider "facilities" as the computing hardware and software infrastructure inside the data…

The development of a package for the management of physics data is described: its design, implementation and computational benchmarks. This package improves the data management tools originally developed for Geant4 physics models based on…

Computational Physics · Physics 2010-12-16 Mincheol Han , Chan-Hyeung Kim , Lorenzo Moneta , Maria Grazia Pia , Hee Seo

To produce the best physics results, high energy physics experiments require access to calibration and other non-event data during event data processing. These conditions data are typically stored in databases that provide versioning…

Common and community software packages, such as ROOT, Geant4 and event generators have been a key part of the LHC's success so far and continued development and optimisation will be critical in the future. The challenges are driven by an…

Computational Physics · Physics 2020-09-01 HEP Software Foundation , : , Thea Aarrestad , Simone Amoroso , Markus Julian Atkinson , Joshua Bendavid , Tommaso Boccali , Andrea Bocci , Andy Buckley , Matteo Cacciari , Paolo Calafiura , Philippe Canal , Federico Carminati , Taylor Childers , Vitaliano Ciulli , Gloria Corti , Davide Costanzo , Justin Gage Dezoort , Caterina Doglioni , Javier Mauricio Duarte , Agnieszka Dziurda , Peter Elmer , Markus Elsing , V. Daniel Elvira , Giulio Eulisse , Javier Fernandez Menendez , Conor Fitzpatrick , Rikkert Frederix , Stefano Frixione , Krzysztof L Genser , Andrei Gheata , Francesco Giuli , Vladimir V. Gligorov , Hadrien Benjamin Grasland , Heather Gray , Lindsey Gray , Alexander Grohsjean , Christian Gütschow , Stephan Hageboeck , Philip Coleman Harris , Benedikt Hegner , Lukas Heinrich , Burt Holzman , Walter Hopkins , Shih-Chieh Hsu , Stefan Höche , Philip James Ilten , Vladimir Ivantchenko , Chris Jones , Michel Jouvin , Teng Jian Khoo , Ivan Kisel , Kyle Knoepfel , Dmitri Konstantinov , Attila Krasznahorkay , Frank Krauss , Benjamin Edward Krikler , David Lange , Paul Laycock , Qiang Li , Kilian Lieret , Miaoyuan Liu , Vladimir Loncar , Leif Lönnblad , Fabio Maltoni , Michelangelo Mangano , Zachary Louis Marshall , Pere Mato , Olivier Mattelaer , Joshua Angus McFayden , Samuel Meehan , Alaettin Serhan Mete , Ben Morgan , Stephen Mrenna , Servesh Muralidharan , Ben Nachman , Mark S. Neubauer , Tobias Neumann , Jennifer Ngadiuba , Isobel Ojalvo , Kevin Pedro , Maurizio Perini , Danilo Piparo , Jim Pivarski , Simon Plätzer , Witold Pokorski , Adrian Alan Pol , Stefan Prestel , Alberto Ribon , Martin Ritter , Andrea Rizzi , Eduardo Rodrigues , Stefan Roiser , Holger Schulz , Markus Schulz , Marek Schönherr , Elizabeth Sexton-Kennedy , Frank Siegert , Andrzej Siódmok , Graeme A Stewart , Malik Sudhir , Sioni Paris Summers , Savannah Jennifer Thais , Nhan Viet Tran , Andrea Valassi , Marc Verderi , Dorothea Vom Bruch , Gordon T. Watts , Torre Wenaus , Efe Yazgan

Here we describe our ongoing efforts to develop high-performance and sensitive instrumentation for use in the search for extra-terrestrial intelligence (SETI). These efforts include our recently deployed Search for Extraterrestrial…

Today's world of scientific software for High Energy Physics (HEP) is powered by x86 code, while the future will be much more reliant on accelerators like GPUs and FPGAs. The portable parallelization strategies (PPS) project of the High…

A wide range of quantum sensing technologies are rapidly being integrated into the experimental portfolio of the high energy physics community. Here we focus on sensing with atomic interferometers; mechanical devices read out with optical…

While visualization plays a crucial role in high-energy physics (HEP) experiments, the existing detector description formats including Geant4, ROOT, GDML, and DD4hep face compatibility limitations with modern visualization platforms. This…

High Energy Physics - Experiment · Physics 2025-07-15 Tian-Zi Song , Kai-Xuan Huang , Yu-Jie Zeng , Ming-Hua Liao , Xue-Sen Wang , Yu-Mei Zhang , Zheng-Yun You

The lepton-proton collisions produced at the HERA collider represent a unique high energy physics data set. A number of years after the end of collisions, the data collected by the H1 experiment, as well as the simulated events and all…

High Energy Physics - Experiment · Physics 2021-09-08 Daniel Britzger , Sergey Levonian , Stefan Schmitt , David South

The Durham High Energy Physics Database (HEPData) has been built up over the past four decades as a unique open-access repository for scattering data from experimental particle physics papers. It comprises data points underlying several…

High Energy Physics - Experiment · Physics 2017-11-23 Eamonn Maguire , Lukas Heinrich , Graeme Watt

Accelerator radio frequency (RF) technology has been and remains critical for modern high energy physics (HEP) experiments based on particle accelerators. Tremendous progress in advancing this technology has been achieved over the past…

HEP Analysis Facility is a cluster designed and implemented in Scientific Linux Cern 5.5 to grant High Energy Physics researchers one place where they can go to undertake a particular task or to provide a parallel processing architecture in…

Distributed, Parallel, and Cluster Computing · Computer Science 2015-03-13 Vivek Chalotra , Anju Bhasin , Anik Gupta , Sanjeev Singh Sambyal

DUNE, like other HEP experiments, faces a challenge related to matching execution patterns of our production simulation and data processing software to the limitations imposed by modern high-performance computing facilities. In order to…

High Energy Physics - Experiment · Physics 2022-03-14 Bonnie Fleming , Kyle Knoepfel , Meifeng Lin , Xin Qian , Yihui Ren , Brett Viren , Hanyu Wei , Shinjae Yoo , Haiwang Yu

There has been a recent explosion in research into machine-learning-based generative modeling to tackle computational challenges for simulations in high energy physics (HEP). In order to use such alternative simulators in practice, we need…

High Energy Physics - Experiment · Physics 2023-04-24 Raghav Kansal , Anni Li , Javier Duarte , Nadezda Chernyavskaya , Maurizio Pierini , Breno Orzari , Thiago Tomei

The Key4hep project aims to provide a turnkey software solution for the full experiment lifecycle, based on established community tools. Several future collider communities (CEPC, CLIC, EIC, FCC, and ILC) have joined to develop and adapt…

In this talk we will review the major additions and improvements made to the ROOT system in the last 18 months and present our plans for future developments. The additons and improvements range from modifications to the I/O sub-system to…

Software Engineering · Computer Science 2008-11-26 Fons Rademakers , Masaharu Goto , Philippe Canal , Rene Brun