Learning from model grids: Tracers of the ionization fraction in the ISM

Emeric Bron; Evelyne Roueff; Maryvonne Gerin; Jérôme Pety; Pierre Gratier; Franck Le Petit; Viviana Guzman; Jan Orkisz; Victor de Souza Magalhaes; Mathilde Gaudel; Pierre Palud; Lucas Einig; Sébastien Bardeau; Maryvonne Gerin; Pierre Chainais; Jocelyn Chanussot; Javier Goicoechea; Annie Hughes; Jouni Kainulainen; David Languignon; Jacques Le Bourlot; François Levrier; Darek Lis; Harvey Liszt; Karin Öberg; Nicolas Peretto; Antoine Roueff; Albrecht Sievers; Pierre-Antoine Thouvenin; Pascal Tremblin

doi:10.1051/epjconf/202226500023

All issues

Volume 265 (2022)

EPJ Web of Conferences, 265 (2022) 00023

Abstract

Open Access

Issue		EPJ Web of Conferences Volume 265, 2022 Multi-line Diagnostics of the Interstellar Medium


Article Number		00023
Number of page(s)		4
DOI		https://doi.org/10.1051/epjconf/202226500023
Published online		07 September 2022

EPJ Web of Conferences 265, 00023 (2022)
https://doi.org/10.1051/epjconf/202226500023

Learning from model grids: Tracers of the ionization fraction in the ISM

Emeric Bron¹^*, Evelyne Roueff¹, Maryvonne Gerin¹, Jérôme Pety²^,1, Pierre Gratier³, Franck Le Petit¹, Viviana Guzman⁴, Jan Orkisz⁵, Victor de Souza Magalhaes², Mathilde Gaudel¹, Pierre Palud⁶, Lucas Einig²^,7, Sébastien Bardeau², Maryvonne Gerin¹, Pierre Chainais⁶, Jocelyn Chanussot¹, Javier Goicoechea⁷, Annie Hughes⁷, Jouni Kainulainen⁷, David Languignon¹, Jacques Le Bourlot¹, François Levrier⁷, Darek Lis⁷, Harvey Liszt⁷, Karin Öberg⁷, Nicolas Peretto⁷, Antoine Roueff⁷, Albrecht Sievers¹, Pierre-Antoine Thouvenin⁶ and Pascal Tremblin⁷

¹ LERMA, Observatoire de Paris, PSL Research University, CNRS, Sorbonne Universités, France
² IRAM, 300 rue de la Piscine, 38406 Saint Martin d’Hères, France
³ Laboratoire d’Astrophysique de Bordeaux, Univ. Bordeaux, CNRS, France
⁴ Instituto de Astrofísica, Pontificia Universidad Católica de Chile, Chile
⁵ Chalmers University of Technology, Department of Space, Earth and Environment, Sweden
⁶ Univ. Lille, CNRS, Centrale Lille, UMR 9189 - CRIStAL, 59651 Villeneuve d’Ascq, France
⁷ See https://www.iram.fr/ pety/ORION-B/team.html for the other affliations

^* e-mail: emeric.bron@obspm.fr

Published online: 7 September 2022

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.

This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0 (http://creativecommons.org/licenses/by/4.0/).

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