Learning from model grids: Tracers of the ionization fraction in the ISM - Observatoire de Paris
Proceedings EPJ Web of Conferences Year : 2022

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

Pierre Gratier
  • Function : Author
Viviana Guzman
  • Function : Author
Jan Orkisz
  • Function : Author
Victor de Souza Magalhaes
  • Function : Author
Pierre Palud
  • Function : Author
Lucas Einig
  • Function : Author
Sébastien Bardeau
  • Function : Author
Pierre Chainais
  • Function : Author
Javier Goicoechea
  • Function : Author
Annie Hughes
  • Function : Author
Jouni Kainulainen
  • Function : Author
François Levrier
Darek Lis
  • Function : Author
Harvey Liszt
  • Function : Author
Karin Öberg
  • Function : Author
Nicolas Peretto
  • Function : Author
Antoine Roueff
Pierre-Antoine Thouvenin
  • Function : Author
Pascal Tremblin
  • Function : Author

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.
Fichier principal
Vignette du fichier
epjconf_ism2022_00023.pdf (468.27 Ko) Télécharger le fichier
Origin Publisher files allowed on an open archive

Dates and versions

obspm-03994706 , version 1 (19-02-2023)

Identifiers

Cite

Emeric Bron, Evelyne Roueff, Maryvonne Gerin, Jérôme Pety, Pierre Gratier, et al.. Learning from model grids: Tracers of the ionization fraction in the ISM. EPJ Web of Conferences, 265, pp.00023, 2022, ⟨10.1051/epjconf/202226500023⟩. ⟨obspm-03994706⟩
38 View
28 Download

Altmetric

Share

More