Learning from model grids: Tracers of the ionization fraction in the ISM
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 th...
| Main Authors: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2022-01-01
|
| Series: | EPJ Web of Conferences |
| Online Access: | https://www.epj-conferences.org/articles/epjconf/pdf/2022/09/epjconf_ism2022_00023.pdf |
| _version_ | 1811196243053903872 |
|---|---|
| author | 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 |
| author_facet | 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 |
| author_sort | Bron Emeric |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-12T00:55:20Z |
| format | Article |
| id | doaj.art-070a7e026c0a4b8f8f0957823754c1f4 |
| institution | Directory Open Access Journal |
| issn | 2100-014X |
| language | English |
| last_indexed | 2024-04-12T00:55:20Z |
| publishDate | 2022-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | EPJ Web of Conferences |
| spelling | doaj.art-070a7e026c0a4b8f8f0957823754c1f42022-12-22T03:54:37ZengEDP SciencesEPJ Web of Conferences2100-014X2022-01-012650002310.1051/epjconf/202226500023epjconf_ism2022_00023Learning from model grids: Tracers of the ionization fraction in the ISMBron Emeric0Roueff Evelyne1Gerin Maryvonne2Pety Jérôme3Gratier Pierre4Le Petit Franck5Guzman Viviana6Orkisz Jan7de Souza Magalhaes Victor8Gaudel Mathilde9Palud Pierre10Einig Lucas11Bardeau Sébastien12Gerin Maryvonne13Chainais Pierre14Chanussot Jocelyn15Goicoechea Javier16Hughes Annie17Kainulainen Jouni18Languignon David19Le Bourlot Jacques20Levrier François21Lis Darek22Liszt Harvey23Öberg Karin24Peretto Nicolas25Roueff Antoine26Sievers Albrecht27Thouvenin Pierre-Antoine28Tremblin Pascal29LERMA, Observatoire de Paris, PSL Research University, CNRS, Sorbonne UniversitésLERMA, Observatoire de Paris, PSL Research University, CNRS, Sorbonne UniversitésLERMA, Observatoire de Paris, PSL Research University, CNRS, Sorbonne UniversitésIRAMLaboratoire d’Astrophysique de Bordeaux, Univ. Bordeaux, CNRSLERMA, Observatoire de Paris, PSL Research University, CNRS, Sorbonne UniversitésInstituto de Astrofísica, Pontificia Universidad Católica de ChileChalmers University of Technology, Department of Space, Earth and EnvironmentIRAMLERMA, Observatoire de Paris, PSL Research University, CNRS, Sorbonne UniversitésUniv. Lille, CNRS, Centrale Lille, UMR 9189 - CRIStALIRAMIRAMLERMA, Observatoire de Paris, PSL Research University, CNRS, Sorbonne UniversitésUniv. Lille, CNRS, Centrale Lille, UMR 9189 - CRIStALLERMA, Observatoire de Paris, PSL Research University, CNRS, Sorbonne UniversitésSee https://www.iram.fr/ pety/ORION-B/team.html for the other affliationsSee https://www.iram.fr/ pety/ORION-B/team.html for the other affliationsSee https://www.iram.fr/ pety/ORION-B/team.html for the other affliationsLERMA, Observatoire de Paris, PSL Research University, CNRS, Sorbonne UniversitésLERMA, Observatoire de Paris, PSL Research University, CNRS, Sorbonne UniversitésSee https://www.iram.fr/ pety/ORION-B/team.html for the other affliationsSee https://www.iram.fr/ pety/ORION-B/team.html for the other affliationsSee https://www.iram.fr/ pety/ORION-B/team.html for the other affliationsSee https://www.iram.fr/ pety/ORION-B/team.html for the other affliationsSee https://www.iram.fr/ pety/ORION-B/team.html for the other affliationsSee https://www.iram.fr/ pety/ORION-B/team.html for the other affliationsLERMA, Observatoire de Paris, PSL Research University, CNRS, Sorbonne UniversitésUniv. Lille, CNRS, Centrale Lille, UMR 9189 - CRIStALSee https://www.iram.fr/ pety/ORION-B/team.html for the other affliationsThe 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.https://www.epj-conferences.org/articles/epjconf/pdf/2022/09/epjconf_ism2022_00023.pdf |
| spellingShingle | 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 Learning from model grids: Tracers of the ionization fraction in the ISM EPJ Web of Conferences |
| title | Learning from model grids: Tracers of the ionization fraction in the ISM |
| title_full | Learning from model grids: Tracers of the ionization fraction in the ISM |
| title_fullStr | Learning from model grids: Tracers of the ionization fraction in the ISM |
| title_full_unstemmed | Learning from model grids: Tracers of the ionization fraction in the ISM |
| title_short | Learning from model grids: Tracers of the ionization fraction in the ISM |
| title_sort | learning from model grids tracers of the ionization fraction in the ism |
| url | https://www.epj-conferences.org/articles/epjconf/pdf/2022/09/epjconf_ism2022_00023.pdf |
| work_keys_str_mv | AT bronemeric learningfrommodelgridstracersoftheionizationfractionintheism AT roueffevelyne learningfrommodelgridstracersoftheionizationfractionintheism AT gerinmaryvonne learningfrommodelgridstracersoftheionizationfractionintheism AT petyjerome learningfrommodelgridstracersoftheionizationfractionintheism AT gratierpierre learningfrommodelgridstracersoftheionizationfractionintheism AT lepetitfranck learningfrommodelgridstracersoftheionizationfractionintheism AT guzmanviviana learningfrommodelgridstracersoftheionizationfractionintheism AT orkiszjan learningfrommodelgridstracersoftheionizationfractionintheism AT desouzamagalhaesvictor learningfrommodelgridstracersoftheionizationfractionintheism AT gaudelmathilde learningfrommodelgridstracersoftheionizationfractionintheism AT paludpierre learningfrommodelgridstracersoftheionizationfractionintheism AT einiglucas learningfrommodelgridstracersoftheionizationfractionintheism AT bardeausebastien learningfrommodelgridstracersoftheionizationfractionintheism AT gerinmaryvonne learningfrommodelgridstracersoftheionizationfractionintheism AT chainaispierre learningfrommodelgridstracersoftheionizationfractionintheism AT chanussotjocelyn learningfrommodelgridstracersoftheionizationfractionintheism AT goicoecheajavier learningfrommodelgridstracersoftheionizationfractionintheism AT hughesannie learningfrommodelgridstracersoftheionizationfractionintheism AT kainulainenjouni learningfrommodelgridstracersoftheionizationfractionintheism AT languignondavid learningfrommodelgridstracersoftheionizationfractionintheism AT lebourlotjacques learningfrommodelgridstracersoftheionizationfractionintheism AT levrierfrancois learningfrommodelgridstracersoftheionizationfractionintheism AT lisdarek learningfrommodelgridstracersoftheionizationfractionintheism AT lisztharvey learningfrommodelgridstracersoftheionizationfractionintheism AT obergkarin learningfrommodelgridstracersoftheionizationfractionintheism AT perettonicolas learningfrommodelgridstracersoftheionizationfractionintheism AT roueffantoine learningfrommodelgridstracersoftheionizationfractionintheism AT sieversalbrecht learningfrommodelgridstracersoftheionizationfractionintheism AT thouveninpierreantoine learningfrommodelgridstracersoftheionizationfractionintheism AT tremblinpascal learningfrommodelgridstracersoftheionizationfractionintheism |