A probabilistic model to estimate number densities from column densities in molecular clouds
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| Titel: | A probabilistic model to estimate number densities from column densities in molecular clouds |
|---|---|
| Autoren: | Gaches, Brandt, 1990, Grudić, M. |
| Quelle: | Astronomy and Astrophysics AstroBrandt/GMCDensityEstimation: v. 696 |
| Schlagwörter: | Methods: data analysis, ISM: clouds |
| Beschreibung: | Constraining the physical and chemical evolution of molecular clouds is essential to our understanding of star formation. These investigations often necessitate knowledge of some local representative number density of the gas along the line of sight. However, constraining the number density is a difficult endeavor. Robust constraints on the number density often require line observations of specific molecules along with radiation transfer modeling, which provides densities traced by that specific molecule. Column density maps of molecular clouds are more readily available, with many high-fidelity maps calculated from dust emission and extinction, in particular from surveys conduction with the Herschel Space Observatory. We introduce a new probabilistic model which is based on the assumption that the total hydrogen nuclei column density along a line of sight can be decomposed into a turbulent component and a gravitationally dominated component. Therefore, for each pixel in a column density map, the line of sight was decomposed into characteristic diffuse (dubbed "œ turbulent") and dense (dubbed "œ gravitational") gas number densities from column density maps. The method thus exploits a physical model of turbulence to decouple the random turbulent column from gas in dense bound structures empirically using the observed column density maps. We find the model produces reasonable turbulent and gravitational densities in the Taurus L1495/B213 and Polaris Flare clouds. The model can also be used to infer an effective attenuating column density into the cloud, which is useful for astrochemical models of the clouds. We conclude by demonstrating an application of this method by predicting the emission of the [C II] 1900 GHz, [C I] 492 GHz, and CO (J = 1- 0) 115 GHz lines across the Taurus L1495/B213 region at the native resolution of the column density map utilizing a grid of photodissociation-region models. |
| Dateibeschreibung: | electronic |
| Zugangs-URL: | https://research.chalmers.se/publication/545934 https://research.chalmers.se/publication/545934/file/545934_Fulltext.pdf |
| Datenbank: | SwePub |
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| Items | – Name: Title Label: Title Group: Ti Data: A probabilistic model to estimate number densities from column densities in molecular clouds – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Gaches%2C+Brandt%22">Gaches, Brandt</searchLink>, 1990<br /><searchLink fieldCode="AR" term="%22Grudić%2C+M%2E%22">Grudić, M.</searchLink> – Name: TitleSource Label: Source Group: Src Data: <i>Astronomy and Astrophysics AstroBrandt/GMCDensityEstimation: v</i>. 696 – Name: Subject Label: Subject Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Methods%3A+data+analysis%22">Methods: data analysis</searchLink><br /><searchLink fieldCode="DE" term="%22ISM%3A+clouds%22">ISM: clouds</searchLink> – Name: Abstract Label: Description Group: Ab Data: Constraining the physical and chemical evolution of molecular clouds is essential to our understanding of star formation. These investigations often necessitate knowledge of some local representative number density of the gas along the line of sight. However, constraining the number density is a difficult endeavor. Robust constraints on the number density often require line observations of specific molecules along with radiation transfer modeling, which provides densities traced by that specific molecule. Column density maps of molecular clouds are more readily available, with many high-fidelity maps calculated from dust emission and extinction, in particular from surveys conduction with the Herschel Space Observatory. We introduce a new probabilistic model which is based on the assumption that the total hydrogen nuclei column density along a line of sight can be decomposed into a turbulent component and a gravitationally dominated component. Therefore, for each pixel in a column density map, the line of sight was decomposed into characteristic diffuse (dubbed "œ turbulent") and dense (dubbed "œ gravitational") gas number densities from column density maps. The method thus exploits a physical model of turbulence to decouple the random turbulent column from gas in dense bound structures empirically using the observed column density maps. We find the model produces reasonable turbulent and gravitational densities in the Taurus L1495/B213 and Polaris Flare clouds. The model can also be used to infer an effective attenuating column density into the cloud, which is useful for astrochemical models of the clouds. We conclude by demonstrating an application of this method by predicting the emission of the [C II] 1900 GHz, [C I] 492 GHz, and CO (J = 1- 0) 115 GHz lines across the Taurus L1495/B213 region at the native resolution of the column density map utilizing a grid of photodissociation-region models. – Name: Format Label: File Description Group: SrcInfo Data: electronic – Name: URL Label: Access URL Group: URL Data: <link linkTarget="URL" linkTerm="https://research.chalmers.se/publication/545934" linkWindow="_blank">https://research.chalmers.se/publication/545934</link><br /><link linkTarget="URL" linkTerm="https://research.chalmers.se/publication/545934/file/545934_Fulltext.pdf" linkWindow="_blank">https://research.chalmers.se/publication/545934/file/545934_Fulltext.pdf</link> |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1051/0004-6361/202451753 Languages: – Text: English Subjects: – SubjectFull: Methods: data analysis Type: general – SubjectFull: ISM: clouds Type: general Titles: – TitleFull: A probabilistic model to estimate number densities from column densities in molecular clouds Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Gaches, Brandt – PersonEntity: Name: NameFull: Grudić, M. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 00046361 – Type: issn-print Value: 14320746 – Type: issn-locals Value: SWEPUB_FREE – Type: issn-locals Value: CTH_SWEPUB Numbering: – Type: volume Value: 696 Titles: – TitleFull: Astronomy and Astrophysics AstroBrandt/GMCDensityEstimation: v Type: main |
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