Dissecting the molecular structure of the Orion B cloud: insight from principal component analysis

Context. The combination of wideband receivers and spectrometers currently available in (sub-)millimeter observatories deliver wide-field hyperspectral imaging of the interstellar medium. Tens of spectral lines can be observed over degree wide fields in about 50 h. This wealth of data calls for rest...

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Veröffentlicht in:Astronomy and astrophysics (Berlin) 2017-03, Vol.599, p.A100
Hauptverfasser: Gratier, Pierre, Bron, Emeric, Gerin, Maryvonne, Pety, Jérôme, Guzman, Viviana V., Orkisz, Jan, Bardeau, Sébastien, Goicoechea, Javier R., Le Petit, Franck, Liszt, Harvey, Öberg, Karin, Peretto, Nicolas, Roueff, Evelyne, Sievers, Albrech, Tremblin, Pascal
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container_issue
container_start_page A100
container_title Astronomy and astrophysics (Berlin)
container_volume 599
creator Gratier, Pierre
Bron, Emeric
Gerin, Maryvonne
Pety, Jérôme
Guzman, Viviana V.
Orkisz, Jan
Bardeau, Sébastien
Goicoechea, Javier R.
Le Petit, Franck
Liszt, Harvey
Öberg, Karin
Peretto, Nicolas
Roueff, Evelyne
Sievers, Albrech
Tremblin, Pascal
description Context. The combination of wideband receivers and spectrometers currently available in (sub-)millimeter observatories deliver wide-field hyperspectral imaging of the interstellar medium. Tens of spectral lines can be observed over degree wide fields in about 50 h. This wealth of data calls for restating the physical questions about the interstellar medium in statistical terms. Aims. We aim to gain information on the physical structure of the interstellar medium from a statistical analysis of many lines from different species over a large field of view, without requiring detailed radiative transfer or astrochemical modeling. Methods. We coupled a non-linear rescaling of the data with one of the simplest multivariate analysis methods, namely the principal component analysis, to decompose the observed signal into components that we interpret first qualitatively and then quantitatively based on our deep knowledge of the observed region and of the astrochemistry at play. Results. We identify three principal components, linear compositions of line brightness temperatures, that are correlated at various levels with the column density, the volume density and the UV radiation field. Conclusions. When sampling a sufficiently diverse mixture of physical parameters, it is possible to decompose the molecular emission in order to gain physical insight on the observed interstellar medium. This opens a new avenue for future studies of the interstellar medium.
doi_str_mv 10.1051/0004-6361/201629847
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The combination of wideband receivers and spectrometers currently available in (sub-)millimeter observatories deliver wide-field hyperspectral imaging of the interstellar medium. Tens of spectral lines can be observed over degree wide fields in about 50 h. This wealth of data calls for restating the physical questions about the interstellar medium in statistical terms. Aims. We aim to gain information on the physical structure of the interstellar medium from a statistical analysis of many lines from different species over a large field of view, without requiring detailed radiative transfer or astrochemical modeling. Methods. We coupled a non-linear rescaling of the data with one of the simplest multivariate analysis methods, namely the principal component analysis, to decompose the observed signal into components that we interpret first qualitatively and then quantitatively based on our deep knowledge of the observed region and of the astrochemistry at play. Results. We identify three principal components, linear compositions of line brightness temperatures, that are correlated at various levels with the column density, the volume density and the UV radiation field. Conclusions. When sampling a sufficiently diverse mixture of physical parameters, it is possible to decompose the molecular emission in order to gain physical insight on the observed interstellar medium. 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The combination of wideband receivers and spectrometers currently available in (sub-)millimeter observatories deliver wide-field hyperspectral imaging of the interstellar medium. Tens of spectral lines can be observed over degree wide fields in about 50 h. This wealth of data calls for restating the physical questions about the interstellar medium in statistical terms. Aims. We aim to gain information on the physical structure of the interstellar medium from a statistical analysis of many lines from different species over a large field of view, without requiring detailed radiative transfer or astrochemical modeling. Methods. We coupled a non-linear rescaling of the data with one of the simplest multivariate analysis methods, namely the principal component analysis, to decompose the observed signal into components that we interpret first qualitatively and then quantitatively based on our deep knowledge of the observed region and of the astrochemistry at play. Results. We identify three principal components, linear compositions of line brightness temperatures, that are correlated at various levels with the column density, the volume density and the UV radiation field. Conclusions. When sampling a sufficiently diverse mixture of physical parameters, it is possible to decompose the molecular emission in order to gain physical insight on the observed interstellar medium. 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subjects Astrophysics
ISM: clouds
ISM: individual objects: Orion B
ISM: molecules
methods: statistical
photon-dominated region (PDR)
Physics
Sciences of the Universe
title Dissecting the molecular structure of the Orion B cloud: insight from principal component analysis
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