activity
20012025
most citedCharmonium Decays of $Y(4260), psi(4160), and psi(4040)

246 citations · 4.4k across the 143 of their papers we have counts for

collaborators
Showing physics.comp-phShow all

8 papers · 1 filter

physics.comp-ph2020

HL-LHC Computing Review: Common Tools and Community Software

HEP Software Foundation, :, Thea Aarrestad +107

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 b…

physics.comp-ph2020★ 43 cited

The Scikit HEP Project -- overview and prospects

Eduardo Rodrigues, Benjamin Krikler, Chris Burr +9

Scikit-HEP is a community-driven and community-oriented project with the goal of providing an ecosystem for particle physics data analysis in Python. Scikit-HEP is a toolset of app…

physics.comp-ph2018★ 4 cited

HEP Software Foundation Community White Paper Working Group -- Data Organization, Management and Access (DOMA)

Dario Berzano, Riccardo Maria Bianchi, Ian Bird +35

Without significant changes to data organization, management, and access (DOMA), HEP experiments will find scientific output limited by how fast data can be accessed and digested b…

physics.comp-ph2018★ 7 cited

HEP Software Foundation Community White Paper Working Group --- Visualization

Matthew Bellis, Riccardo Maria Bianchi, Sebastien Binet +19

In modern High Energy Physics (HEP) experiments visualization of experimental data has a key role in many activities and tasks across the whole data chain: from detector developmen…

physics.comp-ph2018

HEP Software Foundation Community White Paper Working Group - Data and Software Preservation to Enable Reuse

M. D. Hildreth, A. Boehnlein, K. Cranmer +20

In this chapter of the High Energy Physics Software Foundation Community Whitepaper, we discuss the current state of infrastructure, best practices, and ongoing developments in the…

physics.comp-ph2018★ 30 cited

Machine Learning in High Energy Physics Community White Paper

Kim Albertsson, Piero Altoe, Dustin Anderson +125

Machine learning has been applied to several problems in particle physics research, beginning with applications to high-level physics analysis in the 1990s and 2000s, followed by a…