7 citations · 9 across the 5 of their papers we have counts for
6 papers
PyHEP.dev 2024 Workshop Summary Report, August 26-30 2024, Aachen, Germany
Azzah Alshehri, Jan Bürger, Saransh Chopra +28
The second PyHEP.dev workshop, part of the "Python in HEP Developers" series organized by the HEP Software Foundation (HSF), took place in Aachen, Germany, from August 26 to 30, 20…
Prototyping a ROOT-based distributed analysis workflow for HL-LHC: the CMS use case
Tommaso Tedeschi, Vincenzo Eduardo Padulano, Daniele Spiga +5
The challenges expected for the next era of the Large Hadron Collider (LHC), both in terms of storage and computing resources, provide LHC experiments with a strong motivation for…
A Serverless Engine for High Energy Physics Distributed Analysis
Jacek Kuśnierz, Vincenzo Eduardo Padulano, Maciej Malawski +5
The Large Hadron Collider (LHC) at CERN has generated in the last decade an unprecedented volume of data for the High-Energy Physics (HEP) field. Scientific collaborations interest…
HL-LHC Analysis With ROOT
Axel Naumann, Philippe Canal, Enric Tejedor +14
ROOT is high energy physics' software for storing and mining data in a statistically sound way, to publish results with scientific graphics. It is evolving since 25 years, now prov…
ROOT for the HL-LHC: data format
Axel Naumann, Philippe Canal, Enric Tejedor +14
This document discusses the state, roadmap, and risks of the foundational components of ROOT with respect to the experiments at the HL-LHC (Run 4 and beyond). As foundational compo…
Software Challenges For HL-LHC Data Analysis
ROOT Team, Kim Albertsson Brann, Guilherme Amadio +21
The high energy physics community is discussing where investment is needed to prepare software for the HL-LHC and its unprecedented challenges. The ROOT project is one of the centr…