Using statistical emulation and knowledge of grain-surface diffusion for bayesian inference of reaction rate parameters: an application to a glycine network

Author(s):
Heyl, J.; Holdship, J.R.; Viti, S. (0000-0001-8504-8844)
Published
2022
Publication type
Article / Letter to editor
Astrostatistics StrategiesBayesian StatisticsReaction RatesAstrochemistryDark Interstellar CloudsInterstellar Abundances18851900208175352832Astrophysics - Astrophysics of Galaxies
Date issued
2022
Language
English
Is part of
The Astrophysical Journal (2022), No. 1, 26
hdl
1887/3561650
doi
10.3847/1538-4357/ac6606
URL
https://ui.adsabs.harvard.edu/abs/2022ApJ...931...26H