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Incorporating astrochemistry into molecular line modelling via emulation

De Mijolla, D; Viti, S; Holdship, J; Manolopoulou, I; Yates, J; (2019) Incorporating astrochemistry into molecular line modelling via emulation. Astronomy and Astrophysics , 630 , Article A117. 10.1051/0004-6361/201935973. Green open access

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Abstract

In studies of the interstellar medium in galaxies, radiative transfer models of molecular emission are useful for relating molecular line observations back to the physical conditions of the gas they trace. However, doing this requires solving a highly degenerate inverse problem. In order to alleviate these degeneracies, the abundances derived from astrochemical models can be converted into column densities and fed into radiative transfer models. This ensures that the molecular gas composition used by the radiative transfer models is chemically realistic. However, because of the complexity and long running time of astrochemical models, it can be difficult to incorporate chemical models into the radiative transfer framework. In this paper, we introduce a statistical emulator of the UCLCHEM astrochemical model, built using neural networks. We then illustrate, through examples of parameter estimations, how such an emulator can be applied to real and synthetic observations.

Type: Article
Title: Incorporating astrochemistry into molecular line modelling via emulation
Open access status: An open access version is available from UCL Discovery
DOI: 10.1051/0004-6361/201935973
Publisher version: https://doi.org/10.1051/0004-6361/201935973
Language: English
Additional information: This version is the version of record. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: astrochemistry / radiative transfer / methods: statistical / ISM: molecules / galaxies: abundances
UCL classification: UCL
UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences > Dept of Physics and Astronomy
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences > Dept of Statistical Science
URI: https://discovery.ucl.ac.uk/id/eprint/10081161
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