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Quantifier l'informativité des raies d'émission afin de déduire les conditions physiques au sein des nuages moléculaires géants

I. Application aux prédictions de modèles

hal.structure.identifierInstitut de RadioAstronomie Millimétrique [IRAM]
hal.structure.identifierGIPSA - Signal Images Physique [GIPSA-SIGMAPHY]
dc.contributor.authorEINIG, Lucas
hal.structure.identifierCentre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
hal.structure.identifierLaboratoire d'Etude du Rayonnement et de la Matière en Astrophysique et Atmosphères = Laboratory for Studies of Radiation and Matter in Astrophysics and Atmospheres [LERMA]
dc.contributor.authorPALUD, Pierre
hal.structure.identifierInstitut des Matériaux, de Microélectronique et des Nanosciences de Provence [IM2NP]
dc.contributor.authorROUEFF, Antoine
hal.structure.identifierInstitut de RadioAstronomie Millimétrique [IRAM]
hal.structure.identifierLaboratoire d'Etude du Rayonnement et de la Matière en Astrophysique [LERMA (UMR_8112)]
dc.contributor.authorPETY, Jérôme
hal.structure.identifierInstituto de Ciencia de Materiales de Madrid [ICMM]
dc.contributor.authorBRON, Emeric
hal.structure.identifierLaboratoire d'Etude du Rayonnement et de la Matière en Astrophysique et Atmosphères = Laboratory for Studies of Radiation and Matter in Astrophysics and Atmospheres [LERMA]
dc.contributor.authorLE PETIT, Franck
hal.structure.identifierLERMA Cergy [LERMA]
dc.contributor.authorGERIN, Maryvonne
hal.structure.identifierGIPSA - Signal Images Physique [GIPSA-SIGMAPHY]
dc.contributor.authorCHANUSSOT, Jocelyn
hal.structure.identifierCentre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
dc.contributor.authorCHAINAIS, Pierre
hal.structure.identifierCentre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
dc.contributor.authorTHOUVENIN, Pierre-Antoine
hal.structure.identifierLaboratoire d'Etude du Rayonnement et de la Matière en Astrophysique et Atmosphères = Laboratory for Studies of Radiation and Matter in Astrophysics and Atmospheres [LERMA]
dc.contributor.authorLANGUIGNON, David
hal.structure.identifierLERMA Cergy [LERMA]
dc.contributor.authorBEŠLIĆ, Ivana
hal.structure.identifierWorcester State University [Worcester]
hal.structure.identifierHarvard-Smithsonian Center for Astrophysics [CfA]
dc.contributor.authorCOUDÉ, Simon
hal.structure.identifierLERMA Cergy [LERMA]
dc.contributor.authorMAZUREK, Helena
hal.structure.identifierChalmers University of Technology [Gothenburg, Sweden]
dc.contributor.authorORKISZ, Jan
hal.structure.identifierInstituto de Física Fundamental [Madrid] [IFF]
dc.contributor.authorSANTA-MARIA, Miriam G.
hal.structure.identifierInstitut de RadioAstronomie Millimétrique [IRAM]
hal.structure.identifierInstitut des Matériaux, de Microélectronique et des Nanosciences de Provence [IM2NP]
dc.contributor.authorSÉGAL, Léontine
hal.structure.identifierInstitut de recherche en astrophysique et planétologie [IRAP]
dc.contributor.authorZAKARDJIAN, Antoine
hal.structure.identifierInstitut de RadioAstronomie Millimétrique [IRAM]
dc.contributor.authorBARDEAU, Sébastien
hal.structure.identifierInstitut de recherche en astrophysique et planétologie [IRAP]
dc.contributor.authorDEMYK, Karine
hal.structure.identifierInstitut de RadioAstronomie Millimétrique [IRAM]
dc.contributor.authorMAGALHAES, Victor De Souza
hal.structure.identifierInstituto de Física Fundamental [Madrid] [IFF]
dc.contributor.authorGOICOECHEA, Javier
hal.structure.identifierLaboratoire d'Astrophysique de Bordeaux [Pessac] [LAB]
dc.contributor.authorGRATIER, Pierre
hal.structure.identifierInstitut de RadioAstronomie Millimétrique [IRAM]
dc.contributor.authorGUZMAN VELOSO, Viviana
hal.structure.identifierInstitut de recherche en astrophysique et planétologie [IRAP]
dc.contributor.authorHUGHES, Annie
hal.structure.identifierLaboratoire de Physique Théorique de l'ENS [École Normale Supérieure] [LPTENS]
dc.contributor.authorLEVRIER, François
hal.structure.identifierLaboratoire d'Etude du Rayonnement et de la Matière en Astrophysique et Atmosphères = Laboratory for Studies of Radiation and Matter in Astrophysics and Atmospheres [LERMA]
dc.contributor.authorLE BOURLOT, Jacques
hal.structure.identifierCalifornia Institute of Technology [CALTECH]
dc.contributor.authorLIS, Dariusz
hal.structure.identifierNational Radio Astronomy Observatory [NRAO]
dc.contributor.authorLISZT, Harvey
hal.structure.identifierCardiff University
dc.contributor.authorPERETTO, Nicolas
hal.structure.identifierLaboratoire d'Etude du Rayonnement et de la Matière en Astrophysique [LERMA (UMR_8112)]
dc.contributor.authorROUEFF, Evelyne
hal.structure.identifierInstitut de RadioAstronomie Millimétrique [IRAM]
dc.contributor.authorSIEVERS, Albrecht
dc.date.issued2024-11-11
dc.identifier.issn0004-6361
dc.description.abstractEnContext. Observations of ionic, atomic, or molecular lines are performed to improve our understanding of the interstellar medium (ISM). However, the potential of a line to constrain the physical conditions of the ISM is difficult to assess quantitatively, because of the complexity of the ISM physics. The situation is even more complex when trying to assess which combinations of lines are the most useful. Therefore, observation campaigns usually try to observe as many lines as possible for as much time as possible.Aims. We search for a quantitative statistical criterion to evaluate the full constraining power of a (or combination of) tracer(s) with respect to physical conditions. Our goal with such as criterion is twofold. First, it can improve our understanding of the statistical relationships between ISM tracers and physical conditions. Secondly, by exploiting this criterion, we propose a method that helps observers to motivate their observation proposals, e.g., by choosing to observe the lines with the highest constraining power given limited resources and observation time.Methods. We propose an approach based on information theory, in particular the concepts of conditional differential entropy and mutual information. The best (combination of) tracer(s) is obtained by comparing the mutual information between a physical parameter and different sets of lines. The presented analysis is independent of the choice of the estimation algorithm (e.g., neural network or χ2 minimization). We apply this method to simulations of radio molecular lines emitted by a photodissociation region similar to the Horsehead Nebula. In this simulated data, weconsider the noise properties of a state-of-the-art single dish telescope such as the IRAM 30m telescope. We search for the best lines to constrain the visual extinction Av or the far UV illumination G0 . We run this search for different gas regimes, namely translucent gas, filamentary gas, and dense cores.Results. The most informative lines change with the physical regime (e.g., cloud extinction). However, the determination of the optimal combination of lines to constrain a physical parameter such as the visual extinction depends not only on the radiative transfer of the lines and chemistry of the associated species, but also on the achieved mean S/N. Short integration time of the CO isotopologue J = 1 − 0 lines already yields muchinformation on the total column density for a large range of (Av, G0) space. The best set of lines to constrain the visual extinction does not necessarily combine the most informative individual lines. Precise constraints on the radiation field are more difficult to achieve with molecular lines. They require spectral lines emitted at the cloud surface (e.g., [CII] and [CI] lines).Conclusions. This approach allows one to better explore the knowledge provided by ISM codes, and to guide future observation campaigns.
dc.description.sponsorshipAnalyse Détaillée du Milieu Inter-Stellaire - ANR-21-CE31-0010
dc.description.sponsorshipMIAI @ Grenoble Alpes - ANR-19-P3IA-0003
dc.description.sponsorshipInférence rapide et contrôle de l'incertitude: applications aux observations astrophysiques.
dc.description.sponsorshipULNE
dc.language.isoen
dc.publisherEDP Sciences
dc.rights.urihttp://creativecommons.org/licenses/by/
dc.subject.enAstrochemistry
dc.subject.enMethods: numerical
dc.subject.enMethods: statistical
dc.subject.enISM: clouds
dc.subject.enISM: lines and bands
dc.titleQuantifier l'informativité des raies d'émission afin de déduire les conditions physiques au sein des nuages moléculaires géants
dc.titleI. Application aux prédictions de modèles
dc.title.enQuantifying the informativity of emission lines to infer physical conditions in giant molecular clouds
dc.title.enI. Application to model predictions
dc.typeArticle de revue
dc.identifier.doi10.1051/0004-6361/202451588
dc.subject.halPhysique [physics]/Astrophysique [astro-ph]/Astrophysique galactique [astro-ph.GA]
dc.subject.halMathématiques [math]/Statistiques [math.ST]
dc.identifier.arxiv2408.08114
bordeaux.journalAstronomy and Astrophysics - A&A
bordeaux.volume691
bordeaux.issueA109
bordeaux.peerReviewedoui
hal.identifierhal-04654762
hal.version1
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-04654762v1
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