Abstract
We review the main software and computing challenges for the Monte Carlo physics event generators used by the LHC experiments, in view of the High-Luminosity LHC (HL-LHC) physics programme. This paper has been prepared by the HEP Software Foundation (HSF) Physics Event Generator Working Group as an input to the LHCC review of HL-LHC computing, which has started in May 2020.
Highlights
Physics event generators are one of the computational pillars of any High Energy Physics (HEP) experiment, and in particular of the Large Hadron Collider (LHC) experiments
We review the main software and computing challenges for the physics event generators used by the ATLAS [1] and CMS [2] experiments, in view of the high-luminosity running phase of the LHC experimental programme (HL-LHC), which should be operational from the end of 2027 [3]
This document has been prepared by the Physics Event Generators Working Group (WG) [4] of the HEP Software Foundation (HSF), as an input to the review of the HL-LHC computing strategy by the LHC Experiments Committee (LHCC) [5], which has started in May 2020 [6], as previously planned [7,8,9,10]
Summary
Physics event generators are one of the computational pillars of any High Energy Physics (HEP) experiment, and in particular of the Large Hadron Collider (LHC) experiments. The HSF organised a three-day Workshop [26, 27] at the end of 2018 to focus on the software and computing aspects of event generators Their usage in the experiments was reviewed, revealing a large discrepancy in the CPU budgets quoted by ATLAS and CMS, 14% and 1%, respectively, for 2017 [28]. We give an overview of the collaboration challenges in the development, use and maintenance of generator software for LHC By and large, these are mainly non-technical challenges that concern human resources, i.e. actual people, and their organisation, training and motivation, rather than computing resources, software modules or theoretical physics models
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