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Published June 27, 2024 | Version v1.0.12
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eos/eos: EOS Version 1.0.12

Description

We have just released version 1.0.12, which you can find here.

There have been 166 commits since version 1.0.11, which can be inspected here. The changes include

  • adding Dq+ν decays (D. van Dyk)
  • adding Dq+ν decays (C. Bolognani)
  • adding DqP+ν decays and corresponding form factors (C. Bolognani)
  • adding ΛcΛ(pπ)+ν decays and corresponding form factor (M. Reboud)
  • adding experimental constraints for exclusive cs+ν decays (C. Bolognani)
  • adding theoretical constraints on hadronic matrix elements for exclusive cs+ν decays (C. Bolognani)
  • adding dispersive bounds for cs hadronic form factors (K. Vos)
  • cleaning up test cases (M. Reboud)
  • clarifying LHCb and theory conventions for rare b decay observables (M. Reboud)
  • fixing the BESIII measurement of e+eDD¯
  • rewriting the parsing code for analysis files (M. Kirk)
  • cleaning up the documentation (M. Kirk)
  • adding a prior sampler (E. McPartland)
  • adding means to select a loop order in αs and MSbar quark mass running (V. Kuschke)
  • fixing a bug in the quark mass running at order αs3 (V. Kuschke)
  • adding predictions and constraints for class-I non-leptonic B decays (S. Meiser)
  • fixing a bug in the light-meson three-particle vector LCDAs (S. Meiser)
  • adding means to list and download public EOS data sets (D. van Dyk)
  • adding means to compute a test statistic for a gaussian mixture model (M. Reboud) [all changes in the gerund]

Contributors of these commits are:

  • Carolina Bolognani
  • Nico Gubernari
  • Matthew Kirk
  • Viktor Kuschke
  • Ery McPartland
  • Stefan Meiser
  • Méril Reboud
  • Danny van Dyk
  • Keri Vos

Files

eos/eos-v1.0.12.zip

Files (36.6 MB)

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md5:4ae692902098056ca422788eeffc0fd8
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Additional details

Related works

Is supplement to
Software: https://github.com/eos/eos/tree/v1.0.12 (URL)

Funding

UK Research and Innovation
Precision flavour analyses for the era of the high-luminosity LHC and beyond ST/V003941/1
UK Research and Innovation
IPPP (UK National Phenomenology Institute) 2022-2026 ST/X003167/1
Dutch Research Council
Solving Beautiful Puzzles VI.Vidi.223.083