SIMBAD references

2019MNRAS.487.3221F - Mon. Not. R. Astron. Soc., 487, 3221-3238 (2019/August-2)

A Bayesian direct method implementation to fit emission line spectra: application to the primordial He abundance determination.


Abstract (from CDS):

This work presents a Bayesian algorithm to fit the recombination and collisionally excited line spectra of gas photoionized by clusters of young stars. The current model consists of 14 dimensions: two electron temperatures, one electron density, the extinction coefficient, the optical depth on the He I recombination lines, and nine ionic species. The results are in very good agreement with those previously published using the traditional methodology. The probabilistic programming library PYMC3 was chosen to explore the parameter space via an NUTs sampler. These machine learning tools provided excellent convergence quality and speed. The primordial helium abundance measured from a multivariable regression using oxygen, nitrogen, and sulfur was Y_ P, O- N- S_=0.243±0.005 in agreement with a standard Big Bang scenario.

Abstract Copyright: © 2019 The Author(s) Published by Oxford University Press on behalf of the Royal Astronomical Society

Journal keyword(s): methods: statistical - galaxies: abundances - primordial nucleosynthesis

Simbad objects: 19

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