Published March 28, 2025 | Version v1
Dataset Open

Neural Quasiprobabilistic Likelihood Ratio Estimation Dataset

Authors/Creators

  • 1. ROR icon Deutsches Elektronen-Synchrotron DESY
  • 2. ROR icon New York University

Description

Datasets used for the training, validation, and testing of machine learning models in: arXiv:2410.10216

Files

Files (730.2 MB)

Name Size Download all
md5:983331bbf90abc3693b67470caa11a6a
260.6 MB Download
md5:dae4869d0add7e2079b8db97227788bb
76.8 MB Download
md5:efeca6bfe136991e0e68e82d9aa64dde
81.8 MB Download
md5:aedd9fdf6fa6135fe32592408bc7c96b
140.7 MB Download
md5:04d342b95fa40a0d333fcda294d8b812
75.2 MB Download
md5:a080d88c1856e2993e4995fb4c6f9edb
95.0 MB Download

Additional details

Related works

Is supplement to
Dataset: arXiv:2410.10216 (arXiv)

References

  • Gudrun Heinrich, Jannis Lang, and Ludovic Scyboz. "SMEFT predictions for gg → hh at full NLO QCD and truncation uncertainties". In: Journal of High Energy Physics 2022.8 (Aug. 2022). issn: 1029-8479. doi: 10.1007/jhep08(2022)079. url: http://dx.doi.org/ 10.1007/JHEP08(2022)079.
  • Torbjörn Sjöstrand et al. "An introduction to PYTHIA 8.2". In: Computer Physics Communications 191 (June 2015), 159–177. issn: 0010-4655. doi: 10.1016/j.cpc.2015.01. 024. url: http://dx.doi.org/10.1016/j.cpc.2015.01.024.
  • Richard D. Ball et al. "Parton distributions for the LHC run II". In: Journal of High Energy Physics 2015.4 (Apr. 2015). issn: 1029-8479. doi: 10.1007/jhep04(2015)040. url: http://dx.doi.org/10.1007/JHEP04(2015)040.