Results 31 to 40 of about 85,664 (160)

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

open access: yesMachine 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

Exploring Object Stores for High-Energy Physics Data Storage [PDF]

open access: yesEPJ Web of Conferences, 2021
Over the last two decades, ROOT TTree has been used for storing over one exabyte of High-Energy Physics (HEP) events. The TTree columnar on-disk layout has been proved to be ideal for analyses of HEP data that typically require access to many events, but
Javier L'opez-G'omez, J. Blomer
semanticscholar   +1 more source

Precision on leptonic mixing parameters at future neutrino oscillation experiments [PDF]

open access: yes, 2012
We perform a comparison of the different future neutrino oscillation experiments based on the achievable precision in the determination of the fundamental parameters theta_{13} and the CP phase, delta, assuming that theta_{13} is in the range indicated ...
A Bandyopadhyay   +74 more
core   +3 more sources

On-Sensor Data Filtering using Neuromorphic Computing for High Energy Physics Experiments [PDF]

open access: yesInternational Conference on Systems, 2023
This work describes the investigation of neuromorphic computing-based spiking neural network (SNN) models used to filter data from sensor electronics in high energy physics experiments conducted at the High Luminosity Large Hadron Collider (HL-LHC).
Shruti R. Kulkarni   +14 more
semanticscholar   +1 more source

Quantum frontiers in high energy physics [PDF]

open access: yesScience China Physics, Mechanics & Astronomy
Numerous challenges persist in High Energy Physics (HEP), the addressing of which requires advancements in detection technology, computational methods, data analysis frameworks, and phenomenological designs.
Yaquan Fang   +8 more
semanticscholar   +1 more source

Supplement: 33rd United European Gastroenterology Week 2025. [PDF]

open access: yesUnited European Gastroenterol J
United European Gastroenterology Journal, Volume 13, Issue S8, Page S189-S802, October 2025.
europepmc   +4 more sources

Very High Energy Physics and Astronomy with Tau and Photon Probes

open access: yesProceedings of 41st International Conference on High Energy physics — PoS(ICHEP2022), 2022
Very-high energy physics (VHEP) is the development of a higher energy frontier complementary to accelerator-based HEP to investigate interactions in space caused by fundamental particles and to study the structure and fundamental interactions of ...
M. Sasaki
semanticscholar   +1 more source

Implementation of White Rabbit Time Synchronization System in State Acquisition System of High-energy Physics Experimental Device

open access: yesJournal of Physics: Conference Series, 2022
The state acquisition system of high energy physics experimental device has very high requirements for the clock synchronization accuracy of each node. The White Rabbit (WR) distributed synchronous timing technology can realize multi node sub nanosecond ...
Zhanfei Yang   +3 more
semanticscholar   +1 more source

Quantum machine learning in high energy physics [PDF]

open access: yesMachine Learning: Science and Technology, 2020
Machine learning has been used in high energy physics (HEP) for a long time, primarily at the analysis level with supervised classification. Quantum computing was postulated in the early 1980s as way to perform computations that would not be tractable ...
W. Guan   +6 more
semanticscholar   +1 more source

On a Missed Mechanism of Dielectron Production in Nucleon-Nucleon Collisions

open access: yes, 2010
We examine a new mechanism of $e^+e^-$ pair production in $NN$ collisions associated with the $NN$-decoupled dibaryon $d^\star_1$(1956) formation in the process $NN \to \gamma^\star d^\star_1$, where $\gamma^\star$ is the virtual photon which converts ...
Khrykin, Anatoliy S.
core   +1 more source

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