| Title: |
Learning from model grids: Tracers of the ionization fraction in the ISM |
| Authors: |
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; 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 |
| Contributors: |
Laboratoire d'Etude du Rayonnement et de la Matière en Astrophysique et Atmosphères = Laboratory for Studies of Radiation and Matter in Astrophysics and Atmospheres (LERMA); École normale supérieure - Paris (ENS-PSL); Université Paris Sciences et Lettres (PSL)-Université Paris Sciences et Lettres (PSL)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire de Paris; Centre National de la Recherche Scientifique (CNRS)-Université Paris Sciences et Lettres (PSL)-Centre National de la Recherche Scientifique (CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-CY Cergy Paris Université (CY) |
| Source: |
ISSN: 2100-014X. |
| Publisher Information: |
CCSD; EDP Sciences |
| Publication Year: |
2022 |
| Collection: |
Université Paris Seine: ComUE (HAL) |
| Subject Terms: |
[PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph] |
| Description: |
International audience ; 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. |
| Document Type: |
conference object |
| Language: |
English |
| DOI: |
10.1051/epjconf/202226500023 |
| Availability: |
https://hal-obspm.ccsd.cnrs.fr/obspm-03994706; https://hal-obspm.ccsd.cnrs.fr/obspm-03994706v1/document; https://hal-obspm.ccsd.cnrs.fr/obspm-03994706v1/file/epjconf_ism2022_00023.pdf; https://doi.org/10.1051/epjconf/202226500023 |
| Rights: |
https://about.hal.science/hal-authorisation-v1/ ; info:eu-repo/semantics/OpenAccess |
| Accession Number: |
edsbas.E53BE8BC |
| Database: |
BASE |