Earth mover’s distance as a measure of CP violation

Adam Davis (School of Physics and Astronomy, University of Manchester, Manchester, M13 9PL, U.K.) ; Tony Menzo (Department of Physics, University of Cincinnati, Cincinnati, Ohio, 45221, U.S.A.) ; Ahmed Youssef (Department of Physics, University of Cincinnati, Cincinnati, Ohio, 45221, U.S.A.) ; Jure Zupan (Department of Physics, University of Cincinnati, Cincinnati, Ohio, 45221, U.S.A.)

We introduce a new unbinned two sample test statistic sensitive to CP violation utilizing the optimal transport plan associated with the Wasserstein (earth mover’s) distance. The efficacy of the test statistic is shown via two examples of CP asymmetric distributions with varying sample sizes: the Dalitz distributions of B 0 → K + π − π 0 and of D 0 → π + π − π 0 decays. The windowed version of the Wasserstein distance test statistic is shown to have comparable sensitivity to CP violation as the commonly used energy test statistic, but also retains information about the localized distributions of CP asymmetry over the Dalitz plot. For large statistic datasets we introduce two modified Wasserstein distance based test statistics — the binned and the sliced Wasserstein distance statistics, which show comparable sensitivity to CP violation, but improved computing time and memory scalings. Finally, general extensions and applications of the introduced statistics are discussed.

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      "source": "Springer", 
      "value": "We introduce a new unbinned two sample test statistic sensitive to CP violation utilizing the optimal transport plan associated with the Wasserstein (earth mover\u2019s) distance. The efficacy of the test statistic is shown via two examples of CP asymmetric distributions with varying sample sizes: the Dalitz distributions of B 0 \u2192 K + \u03c0  \u2212  \u03c0 0 and of D 0 \u2192 \u03c0 + \u03c0  \u2212  \u03c0 0 decays. The windowed version of the Wasserstein distance test statistic is shown to have comparable sensitivity to CP violation as the commonly used energy test statistic, but also retains information about the localized distributions of CP asymmetry over the Dalitz plot. For large statistic datasets we introduce two modified Wasserstein distance based test statistics \u2014 the binned and the sliced Wasserstein distance statistics, which show comparable sensitivity to CP violation, but improved computing time and memory scalings. Finally, general extensions and applications of the introduced statistics are discussed."
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Published on:
16 June 2023
Publisher:
Springer
Published in:
Journal of High Energy Physics , Volume 2023 (2023)
Issue 6
Pages 1-42
DOI:
https://doi.org/10.1007/JHEP06(2023)098
arXiv:
2301.13211
Copyrights:
The Author(s)
Licence:
CC-BY-4.0

Fulltext files: