Bayesian inference on ALMA observations with a neural network emulator for chemical models reveals radial and azimuthal variations in gas density, temperature, column density, and cosmic-ray ionization rate across NGC 1068.
High Energy Phenomena in Relativistic Outflows VII , year = 2019, month = jul, eid =
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Physical and Chemical Conditions of Molecular Gas in NGC 1068: The nuclear feedback in the circumnuclear disk and starburst ring
Bayesian inference on ALMA observations with a neural network emulator for chemical models reveals radial and azimuthal variations in gas density, temperature, column density, and cosmic-ray ionization rate across NGC 1068.