Results 1 to 10 of about 1,246,469 (173)

Potential of the Julia Programming Language for High Energy Physics Computing [PDF]

open access: yesComputing and Software for Big Science, 2023
Research in high energy physics (HEP) requires huge amounts of computing and storage, putting strong constraints on the code speed and resource usage.
J. Eschle   +17 more
semanticscholar   +1 more source

Quantum Computing for High-Energy Physics: State of the Art and Challenges [PDF]

open access: yesPRX Quantum, 2023
Quantum computers offer an intriguing path for a paradigmatic change of computing in the natural sciences and beyond, with the potential for achieving a so-called quantum advantage—namely, a significant (in some cases exponential) speedup of numerical ...
A. D. Meglio   +45 more
semanticscholar   +1 more source

Software Training in High Energy Physics [PDF]

open access: yesJournal of Physics: Conference Series, 2022
Among the upgrades in current high energy physics (HEP) experiments and the new facilities coming online, solving software challenges has become integral to the success of the collaborations.
M. Villanueva   +2 more
semanticscholar   +1 more source

Reliably estimating the statistical significance of a new physics signal by exploiting GPUs

open access: yesProceedings of 10th International Workshop on Charm Physics — PoS(CHARM2020), 2021
GPUs represent one of the most sophisticated and versatile parallel computing architectures that have recently been introduced in the High Energy Physics (HEP) field.
A. Pompili, A. Di Florio
semanticscholar   +1 more source

Quantum Simulation for High-Energy Physics [PDF]

open access: yesPRX Quantum, 2022
It is for the first time that Quantum Simulation for High Energy Physics (HEP) is studied in the U.S. decadal particle-physics community planning, and in fact until recently, this was not considered a mainstream topic in the community.
Christian W. Bauer. Zohreh Davoudi   +29 more
semanticscholar   +1 more source

Evaluating generative models in high energy physics [PDF]

open access: yesPhysical Review D, 2022
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).
R. Kansal   +6 more
semanticscholar   +1 more source

Prospects for the detection rate of very-high-energy γ-ray emissions from short γ-ray bursts with the HADAR experiment [PDF]

open access: yesChinese Physics C, High Energy Physics & Nuclear Physics, 2023
The observation of short gamma ray bursts (SGRBs) in the TeV energy range plays an important role in understanding the radiation mechanism and probing potential new physics, such as Lorentz invariance violation (LIV). However, no SGRBs have been observed
Qilun Chen   +25 more
semanticscholar   +1 more source

Analysis of Requirements for the Design of a Detector Control System in a High Energy Physics (HEP) Experiment [PDF]

open access: yesProceedings of 7th Annual Conference on Large Hadron Collider Physics — PoS(LHCP2019), 2019
In this work the use of the Rational Unified Process (RUP) to model the design of a Detector Control System (DCS) in a High-Energy Physics (HEP) experiment is proposed.
J. C. Cabanillas-Noris   +3 more
semanticscholar   +1 more source

Evaluating Awkward Arrays, uproot, and coffea as a query platform for High Energy Physics Data

open access: yesJournal of Physics: Conference Series, 2023
Query languages for High Energy Physics (HEP) are an ever present topic within the field. A query language that can efficiently represent the nested data structures that encode the statistical and physical meaning of HEP data will help analysts by ...
L. Gray, F. B. I. N. Smith
semanticscholar   +1 more source

pyBumpHunter: A model independent bump hunting tool in Python for high energy physics analyses [PDF]

open access: yesSciPost Physics Codebases, 2022
The BumpHunter algorithm is widely used in the search for new particles in High Energy Physics analysis. This algorithm offers the advantage of evaluating the local and global p-values of a localized deviation in the observed data without making any ...
L. Vaslin   +3 more
semanticscholar   +1 more source

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