Published November 8, 2022 | Version v1

Data-driven modeling of beam loss in the LHC

  • 1. Swiss Data Science Center, Department of Computer Science, ATH Zurich, Switzerland
  • 2. Swiss Data Science Center, EPF Lausanne & ETH Zurich, Switzerland
  • 3. European Organization for Nuclear Research (CERN), Switzerland
  • 4. Particle Accelerator Physics Laboratory, EPF Lausanne, Switzerland

Description

LHC diagnostics datasets from runs 2017 & 2018 used for training of beam loss machine-learning models for research paper "Data-driven modeling of beam loss in the LHC".

Notes

Work is funded by the Swiss Data Science Centre (SDSC) project C18-07.

Files

SDSC_all_2017_wBOFSU_wEmittance_modes_filln_cleanup.csv

Files (22.1 GB)

Name Size
md5:5c5d56a3a019bc0f66c1c8399c21e991
11.2 GB Preview Download
md5:0dd49e47583193ed2445625cab161b0d
10.9 GB Preview Download