activity
20182022
most citedHEP Software Foundation Community White Paper Working Group -- Conditions Data

2 citations · 2 across the 1 of their papers we have counts for

collaborators

6 papers

hep-ex2022

Second Analysis Ecosystem Workshop Report

Mohamed Aly, Jackson Burzynski, Bryan Cardwell +66

The second workshop on the HEP Analysis Ecosystem took place 23-25 May 2022 at IJCLab in Orsay, to look at progress and continuing challenges in scaling up HEP analysis to meet the…

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-ph20192 cited

HEP Software Foundation Community White Paper Working Group -- Conditions Data

Paul Laycock, Marko Bracko, Marco Clemencic +6

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…

physics.comp-ph2018

HEP Software Foundation Community White Paper Working Group - Data Processing Frameworks

Paolo Calafiura, Marco Clemencic, Hadrien Grasland +15

Data processing frameworks are an essential part of HEP experiments' software stacks. Frameworks provide a means by which code developers can undertake the essential tasks of physi…

physics.comp-ph2018

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.ed-ph2018

HEP Software Foundation Community White Paper Working Group - Training, Staffing and Careers

HEP Software Foundation, :, Dario Berzano +15

The rapid evolution of technology and the parallel increasing complexity of algorithmic analysis in HEP requires developers to acquire a much larger portfolio of programming skills…