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Published May 9, 2023 | Version v1.0.7
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eos/eos: EOS Version 1.0.7

Authors/Creators

  • 1. IPPP Durham
  • 2. Technische Universität München (TUM)
  • 3. LMU Munich / Exellence Cluster ORIGINS
  • 4. University of Warwick

Description

We have just released version 1.0.7, which you can find here.

There have been 77 commits since version v1.0.6, which can be inspected here. The changes include

  • removing superfluous warnings and adapting test cases (D. Leljak)
  • removing redundant options in existing constraints (D. Leljak)
  • implementing the SignalPDF for B->gamma l nu processes (M. Reboud)
  • fixing the handling of fixed parameters across the Python backend (F. Novak)
  • fixing the handling of artificially restricted multivariate Gaussian constraints (M. Reboud)
  • exporting BGL pseudo observables (D. van Dyk)
  • removing the remnants of HDF5/h5py dependencies (D. van Dyk)
  • switching to use pre-commit tests and applying needed corrections (D. van Dyk)
  • fixing various minor bugs in the Python side (S. Kürten, P. Lüghausen, F. Novak, L. Gaertner)
  • adapting B->pi LCSRs to B_{d,s}->{pi,K} LCSRs following [DM:2008A] (C. Bolognani)
  • adding pseudo observables related to the leading-twist B-meson LCDA (P. Lüghausen)
  • adapt all local b->s form factors for a global dispersive analysis (M. Reboud)

Contributors of these commits are:

  • Carolina Bolognani
  • Lorenz Gaertner
  • Stephan Kürten
  • Domagoj Leljak
  • Philip Lüghausen
  • Filip Novak
  • Méril Reboud
  • Danny van Dyk

Files

eos/eos-v1.0.7.zip

Files (35.3 MB)

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Additional details

Related works

Is supplement to
https://github.com/eos/eos/tree/v1.0.7 (URL)