Published January 30, 2024
| Version V2: corrected minor error in the marginalization code that introduced small noise in results
Software
Open
Marginalized QCD likelihood function
Authors/Creators
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1.
University of Stavanger
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2.
Goethe University Frankfurt
Contributors
Researcher (3):
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1.
Syracuse University
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2.
Los Alamos National Laboratory
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3.
Lyon 1 Université
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4.
Michigan State University
Description
A Python implementation of a marginalized QCD likelihood function in a form that can be conveniently interfaced with Bayesian equation-of-state inference setups. The likelihood uses the partial N3LO pQCD EOS (PhysRevLett.127.162003) at high-density muH that is extrapolated to lower densities using a Gaussian Process regression conditioned with pQCD calculations of the sound speed in the range [25,40]n_sat. Based on arXiv:2312.14127