SoftWare InFrastructure and Technology for High Energy Physics experiments (SWIFT-HEP) at UCL

Lead Research Organisation: UNIVERSITY COLLEGE LONDON
Department Name: Physics and Astronomy

Abstract

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Title Sherpa 
Description This is an exist physics simulation programme used in large scale production that was significantly speeded up due to work funded by this grant. 
Type Of Material Improvements to research infrastructure 
Year Produced 2023 
Provided To Others? Yes  
Impact Major savings in CPU time and power consumption 
URL https://sherpa-team.gitlab.io/
 
Title Sherpa 2.2.12 
Description Sherpa is a well-established software project for modelling high-energy particle collisions. The relevant output here is speed improvements based on profiling studies optimisation effort. 
Type Of Material Computer model/algorithm 
Year Produced 2021 
Provided To Others? Yes  
Impact Since Sherpa is deployed widely on the LHC computing grid and uses significant computing resources, any saving in CPU is significant, and means more physics can be done, or alternatively, less cost and environmental impact per physics event. 
URL https://gitlab.com/sherpa-team/sherpa/-/releases#v2.2.12
 
Title YODA 
Description YODA -- Yet more Objects for Data Analysis -- is a lightweight C++ and Python package for weighted histogramming and reference data manipulation. It is particularly associated with the Rivet MC event analysis framework for High-Energy Physics, but has been written with general-purpose applications in mind. 
Type Of Technology Software 
Year Produced 2021 
Open Source License? Yes  
Impact Improve particle physics data analysis 
URL https://zenodo.org/record/5651588