Machine learning improved fits of the sound horizon at the baryon drag epoch

@article{Aizpuru2021MachineLI,
  title={Machine learning improved fits of the sound horizon at the baryon drag epoch},
  author={Andoni Aizpuru and Rub{\'e}n Campos Arjona and Savvas Nesseris},
  journal={Physical Review D},
  year={2021}
}
The baryon acoustic oscillations (BAO) have proven to be an invaluable tool in constraining the expansion history of the Universe at late times and are characterized by the comoving sound horizon at the baryon drag epoch rs(zd). The latter quantity can be calculated either numerically using recombination codes or via fitting functions, such as the one by Eisenstein and Hu (EH), made via grids of parameters of the recombination history. Here we quantify the accuracy of these expressions and show… 

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