Published February 9, 2023
| Version v1.0.6
Software
Open
eos/eos: EOS Version 1.0.6
Authors/Creators
- Danny van Dyk1
- Méril Reboud
- Nico Gubernari2
- Domagoj Leljak
- Philip Lüghausen
- Ahmet Kokulu2
- Stephan Kürten
- Christoph Bobeth
- Elena Graverini
- Filip Novak
- Viktor Kuschke
- Lorenz Gaertner
- Martin Ritter3
- Thomas Blake4
- Marzia Bordone
- Eike Eberhard2
- Eduardo Romero
- Ismo Toijala
- K. Keri Vos
- Carolina Bolognani
- Frederik Beaujean
- Muslem Rahimi
- Romy O'Connor
- 1. IPPP Durham
- 2. Technische Universität München (TUM)
- 3. LMU Munich / Exellence Cluster ORIGINS
- 4. University of Warwick
Description
We have just released version 1.0.6, which you can find here.
There have been 109 commits since version 1.0.5, which can be inspected here. The changes include
- implementing the polylogarithms Li22 (V. Kuschke)
- extending the sbnunu sector of the WET (L. Gärtner)
- adding B -> K HPQCD 2022 form factors (M. Reboud)
- adding kaon LCDAs (C. Bolognani)
- extending BGL parameterization to B -> D^(*) form factor and adding FNAL-MILC 2021 results (D. van Dyk)
- adding the possibility of using kinematic variables in the observable parser (M. Reboud)
- implementing lepton masses in Lb -> L*ll observables (M. Reboud)
- interfacing dynesty to enable nested sampling (F. Novak)
- impelmenting FLvD 2022 parametrization of the B meson LCDAs (P. Lüghausen)
- switching to C++ 20 (D. van Dyk)
- implementing B -> gamma^* form factors à la KKvDZ 2022 (S. Kürten)
- implementing B -> l l l' nu decays (S. Kürten)
- implementing P -> P and P -> V form factors à la BFW 2010 (M. Reboud)
- improving the calculation of Verblunsky coefficients (M. Reboud)
- and correcting several errors and typos.
Contributors of these commits are:
- Carolina Bolognani
- Lorenz Gärtner
- Viktor Kuschke
- Stephan Kürten
- Philip Lüghausen
- Filip Novak
- Méril Reboud
- Danny van Dyk
Files
eos/eos-v1.0.6.zip
Files
(35.4 MB)
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md5:b4d33dc89089ba4d285e1564b182faef
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Additional details
Related works
- Is supplement to
- https://github.com/eos/eos/tree/v1.0.6 (URL)
Funding
- UK Research and Innovation
- Precision flavour analyses for the era of the high-luminosity LHC and beyond ST/V003941/1