The browser you are using is not supported by this website. All versions of Internet Explorer are no longer supported, either by us or Microsoft (read more here: https://www.microsoft.com/en-us/microsoft-365/windows/end-of-ie-support).

Please use a modern browser to fully experience our website, such as the newest versions of Edge, Chrome, Firefox or Safari etc.

Valentina Santoro

Valentina Santoro

Senior lecturer

Valentina Santoro

Advancements in Computing and Simulation Techniques for the HIBEAM-NNBAR Experiment

Author

  • Bernhard Meirose
  • Jorge Amaral
  • Matthias Holl
  • Ernesto Kemp
  • Adam Kozela
  • David Milstead
  • André Nepomuceno
  • Anders Oskarsson
  • Krzysztof Pysz
  • Valentina Santoro
  • Tiago Quirino
  • Blahoslav Rataj
  • Gabriel Silva
  • Samuel Silverstein
  • Magnus Wolke
  • Lucas Åstrand
Show all

Summary, in English

The HIBEAM-NNBAR program is a proposed two-stage experiment at the European Spallation Source focusing on searches for baryon number violation processes as well as ultralight dark matter. This paper presents recent advancements in computing and simulation, including machine learning for event selection, fast parametric simulations for detector studies, and detailed modeling of the time projection chamber and readout electronics.

Department/s

  • Particle and nuclear physics

Publishing year

2025

Language

English

Publication/Series

EPJ Web of Conferences

Volume

337

Document type

Paper in conference proceeding

Topic

  • Subatomic Physics

Conference name

27th International Conference on Computing in High Energy and Nuclear Physics, CHEP 2024

Conference date

2024-10-19 - 2024-10-25

Conference place

Krakow, Poland

Status

Published