Results 11 to 20 of about 1,233,404 (130)

HEPnOS: a Specialized Data Service for High Energy Physics Analysis

IEEE International Symposium on Parallel & Distributed Processing, Workshops and Phd Forum, 2023
In this paper, we present HEPnOS, a distributed data service for managing data produced by high-energy physics (HEP) experiments. Using HEPnOS, HEP applications can use HPC resources more efficiently than traditional file-based applications.
Sajid Ali
semanticscholar   +1 more source

Lepton flavor violation beyond the MSSM [PDF]

, 2015
Most extensions of the Standard Model lepton sector predict large lepton flavor violating rates. Given the promising experimental perspectives for lepton flavor violation in the next few years, this generic expectation might offer a powerful indirect ...
Vicente, Avelino
core   +3 more sources

Masked particle modeling on sets: towards self-supervised high energy physics foundation models [PDF]

Machine Learning: Science and Technology
We propose masked particle modeling (MPM) as a self-supervised method for learning generic, transferable, and reusable representations on unordered sets of inputs for use in high energy physics (HEP) scientific data.
T. Golling, Lukas Heinrich, M. Kagan, Samuel Klein, Matthew Leigh, Margarita Osadchy, John Andrew Raine   +6 more
semanticscholar   +1 more source

A perspective on Quantum Gravity Phenomenology [PDF]

, 2003
I give a brief overview of some Quantum-Gravity-Phenomenology research lines, focusing on studies of cosmic rays and gamma-ray bursts that concern the fate of Lorentz symmetry in quantum spacetime.
Amelino-Camelia, Giovanni
core   +3 more sources

Finetuning foundation models for joint analysis optimization in High Energy Physics [PDF]

Machine Learning: Science and Technology
In this work we demonstrate that significant gains in performance and data efficiency can be achieved in High Energy Physics (HEP) by moving beyond the standard paradigm of sequential optimization or reconstruction and analysis components.
M. Vigl, N. Hartman, L. Heinrich
semanticscholar   +1 more source

Leveraging an open source serverless framework for high energy physics computing

Journal of Supercomputing, 2023
CERN (Centre Europeen pour la Recherce Nucleaire) is the largest research centre for high energy physics (HEP). It offers unique computational challenges as a result of the large amount of data generated by the large hadron collider.
V. Padulano, Pablo Oliver Cortés, Pedro Alonso-Jordá, Enric Tejedor Saavedra, Sebastián Risco, Germán Moltó   +5 more
semanticscholar   +1 more source

Leveraging State-of-the-Art Engines for Large-Scale Data Analysis in High Energy Physics

Journal of Grid Computing, 2023
The Large Hadron Collider (LHC) at CERN has generated a vast amount of information from physics events, reaching peaks of TB of data per day which are then sent to large storage facilities.
V. Padulano, I. D. Kabadzhov, E. T. Saavedra, E. Guiraud, Pedro Alonso-Jordá   +4 more
semanticscholar   +1 more source

Software Sustainability & High Energy Physics [PDF]

arXiv.org, 2020
New facilities of the 2020s, such as the High Luminosity Large Hadron Collider (HL-LHC), will be relevant through at least the 2030s. This means that their software efforts and those that are used to analyze their data need to consider sustainability to ...
D. Katz, S. Malik, M. Neubauer, G. Stewart, K. Assamagan, Erin A. Becker, Neil Philippe Chue Hong, Ian A. Cosden, S. Meehan, E. Moyse, A. Price-Whelan, E. Sexton-Kennedy, M. Evans, M. Feickert, C. Lange, Kilian Adriano Lieret, R. Quick, Arturo S'anchez Pineda, Christopher Tunnell   +18 more
semanticscholar   +1 more source

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

Journal 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

Vector unparticle enhanced black holes: exact solutions and thermodynamics [PDF]

, 2010
Tensor and scalar unparticle couplings to matter have been shown to enhance gravitational interactions and provide corrections to the Schwarzschild metric and associated black hole structure.
Mureika, J. R., Spallucci, Euro
core   +3 more sources