EPJ Web of Conferences (Jan 2022)
Learning from model grids: Tracers of the ionization fraction in the ISM
- Bron Emeric,
- Roueff Evelyne,
- Gerin Maryvonne,
- Pety Jérôme,
- Gratier Pierre,
- Le Petit Franck,
- Guzman Viviana,
- Orkisz Jan,
- de Souza Magalhaes Victor,
- Gaudel Mathilde,
- Palud Pierre,
- Einig Lucas,
- Bardeau Sébastien,
- Gerin Maryvonne,
- Chainais Pierre,
- Chanussot Jocelyn,
- Goicoechea Javier,
- Hughes Annie,
- Kainulainen Jouni,
- Languignon David,
- Le Bourlot Jacques,
- Levrier François,
- Lis Darek,
- Liszt Harvey,
- Öberg Karin,
- Peretto Nicolas,
- Roueff Antoine,
- Sievers Albrecht,
- Thouvenin Pierre-Antoine,
- Tremblin Pascal
Affiliations
- Bron Emeric
- LERMA, Observatoire de Paris, PSL Research University, CNRS, Sorbonne Universités
- Roueff Evelyne
- LERMA, Observatoire de Paris, PSL Research University, CNRS, Sorbonne Universités
- Gerin Maryvonne
- LERMA, Observatoire de Paris, PSL Research University, CNRS, Sorbonne Universités
- Pety Jérôme
- IRAM
- Gratier Pierre
- Laboratoire d’Astrophysique de Bordeaux, Univ. Bordeaux, CNRS
- Le Petit Franck
- LERMA, Observatoire de Paris, PSL Research University, CNRS, Sorbonne Universités
- Guzman Viviana
- Instituto de Astrofísica, Pontificia Universidad Católica de Chile
- Orkisz Jan
- Chalmers University of Technology, Department of Space, Earth and Environment
- de Souza Magalhaes Victor
- IRAM
- Gaudel Mathilde
- LERMA, Observatoire de Paris, PSL Research University, CNRS, Sorbonne Universités
- Palud Pierre
- Univ. Lille, CNRS, Centrale Lille, UMR 9189 - CRIStAL
- Einig Lucas
- IRAM
- Bardeau Sébastien
- IRAM
- Gerin Maryvonne
- LERMA, Observatoire de Paris, PSL Research University, CNRS, Sorbonne Universités
- Chainais Pierre
- Univ. Lille, CNRS, Centrale Lille, UMR 9189 - CRIStAL
- Chanussot Jocelyn
- LERMA, Observatoire de Paris, PSL Research University, CNRS, Sorbonne Universités
- Goicoechea Javier
- See https://www.iram.fr/ pety/ORION-B/team.html for the other affliations
- Hughes Annie
- See https://www.iram.fr/ pety/ORION-B/team.html for the other affliations
- Kainulainen Jouni
- See https://www.iram.fr/ pety/ORION-B/team.html for the other affliations
- Languignon David
- LERMA, Observatoire de Paris, PSL Research University, CNRS, Sorbonne Universités
- Le Bourlot Jacques
- LERMA, Observatoire de Paris, PSL Research University, CNRS, Sorbonne Universités
- Levrier François
- See https://www.iram.fr/ pety/ORION-B/team.html for the other affliations
- Lis Darek
- See https://www.iram.fr/ pety/ORION-B/team.html for the other affliations
- Liszt Harvey
- See https://www.iram.fr/ pety/ORION-B/team.html for the other affliations
- Öberg Karin
- See https://www.iram.fr/ pety/ORION-B/team.html for the other affliations
- Peretto Nicolas
- See https://www.iram.fr/ pety/ORION-B/team.html for the other affliations
- Roueff Antoine
- See https://www.iram.fr/ pety/ORION-B/team.html for the other affliations
- Sievers Albrecht
- LERMA, Observatoire de Paris, PSL Research University, CNRS, Sorbonne Universités
- Thouvenin Pierre-Antoine
- Univ. Lille, CNRS, Centrale Lille, UMR 9189 - CRIStAL
- Tremblin Pascal
- See https://www.iram.fr/ pety/ORION-B/team.html for the other affliations
- DOI
- https://doi.org/10.1051/epjconf/202226500023
- Journal volume & issue
-
Vol. 265
p. 00023
Abstract
The ionization fraction in neutral interstellar clouds is a key physical parameter controlling multiple physical and chemical processes, and varying by orders of magnitude from the UV irradiated surface of the cloud to its cosmic-ray dominated central regions. Traditional observational tracers of the ionization fraction, which mostly rely on deuteration ratios of molecules like HCO+, suffer from the fact that the deuterated molecules are only detected in a tiny fraction of a given Giant Molecular Cloud (GMC). In [1], we propose a machine learning-based, semi-automatic method to search in a large dataset of astrochemical model results for new tracers of the ionization fraction, and propose several new tracers relevant in different ranges of physical conditions.
