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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Organisations
Publications

Bothmann E
(2023)
A standard convention for particle-level Monte Carlo event-variation weights
in SciPost Physics Core

Bothmann E
(2022)
Accelerating LHC event generation with simplified pilot runs and fast PDFs
in The European Physical Journal C

Bothmann E
(2024)
Efficient precision simulation of processes with many-jet final states at the LHC
in Physical Review D
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 |