Disentangling Multiple Emitting Components in Molecular Observations with Nonnegative Matrix Factorization

Molecular emission from the galactic and extragalactic interstellar medium (ISM) is often used to determine the physical conditions of the dense gas. However, even from spatially resolved regions, the observed molecules do not necessarily arise from a single component. Disentangling multiple gas com...

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Main Authors: Damien de Mijolla, Jonathan Holdship, Serena Viti, Johannes Heyl
Format: Article
Language:English
Published: IOP Publishing 2024-01-01
Series:The Astrophysical Journal
Subjects:
Online Access:https://doi.org/10.3847/1538-4357/ad1681
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author Damien de Mijolla
Jonathan Holdship
Serena Viti
Johannes Heyl
author_facet Damien de Mijolla
Jonathan Holdship
Serena Viti
Johannes Heyl
author_sort Damien de Mijolla
collection DOAJ
description Molecular emission from the galactic and extragalactic interstellar medium (ISM) is often used to determine the physical conditions of the dense gas. However, even from spatially resolved regions, the observed molecules do not necessarily arise from a single component. Disentangling multiple gas components is often a degenerate problem in radiative transfer studies. In this paper, we investigate the use of the nonnegative matrix factorization (NMF) approach as a means to recover gas components from a set of blended line intensity maps of molecular transitions that may trace different physical conditions. We run a series of experiments on synthetic data sets designed to replicate conditions in two very different environments: galactic pre-stellar cores and the ISM in high-redshift galaxies. We find that the NMF algorithm often recovers the multiple components resembling those used in the data-generating process, provided that the different components have similar column densities. When NMF fails to recover all the individual components it does however group together the most similarly emitting ones. We further found that initialization and regularisation are key factors in the efficiency of the NMF algorithm.
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spelling doaj.art-4588eb8f7bd54e00a9efa56c8bb2622a2024-01-30T15:10:38ZengIOP PublishingThe Astrophysical Journal1538-43572024-01-01961222510.3847/1538-4357/ad1681Disentangling Multiple Emitting Components in Molecular Observations with Nonnegative Matrix FactorizationDamien de Mijolla0https://orcid.org/0000-0001-8757-4936Jonathan Holdship1https://orcid.org/0000-0003-4025-1552Serena Viti2https://orcid.org/0000-0001-8504-8844Johannes Heyl3https://orcid.org/0000-0003-0567-8796Department of Physics and Astronomy, University College London , Gower Street, London WC1E 6BT, UK ; viti@strw.leidenuniv.nlDepartment of Physics and Astronomy, University College London , Gower Street, London WC1E 6BT, UK ; viti@strw.leidenuniv.nl; Leiden Observatory, Leiden University , PO Box 9513, NL-2300 RA Leiden, The NetherlandsDepartment of Physics and Astronomy, University College London , Gower Street, London WC1E 6BT, UK ; viti@strw.leidenuniv.nl; Leiden Observatory, Leiden University , PO Box 9513, NL-2300 RA Leiden, The NetherlandsDepartment of Physics and Astronomy, University College London , Gower Street, London WC1E 6BT, UK ; viti@strw.leidenuniv.nlMolecular emission from the galactic and extragalactic interstellar medium (ISM) is often used to determine the physical conditions of the dense gas. However, even from spatially resolved regions, the observed molecules do not necessarily arise from a single component. Disentangling multiple gas components is often a degenerate problem in radiative transfer studies. In this paper, we investigate the use of the nonnegative matrix factorization (NMF) approach as a means to recover gas components from a set of blended line intensity maps of molecular transitions that may trace different physical conditions. We run a series of experiments on synthetic data sets designed to replicate conditions in two very different environments: galactic pre-stellar cores and the ISM in high-redshift galaxies. We find that the NMF algorithm often recovers the multiple components resembling those used in the data-generating process, provided that the different components have similar column densities. When NMF fails to recover all the individual components it does however group together the most similarly emitting ones. We further found that initialization and regularisation are key factors in the efficiency of the NMF algorithm.https://doi.org/10.3847/1538-4357/ad1681AstrochemistryAstrostatistics techniques
spellingShingle Damien de Mijolla
Jonathan Holdship
Serena Viti
Johannes Heyl
Disentangling Multiple Emitting Components in Molecular Observations with Nonnegative Matrix Factorization
The Astrophysical Journal
Astrochemistry
Astrostatistics techniques
title Disentangling Multiple Emitting Components in Molecular Observations with Nonnegative Matrix Factorization
title_full Disentangling Multiple Emitting Components in Molecular Observations with Nonnegative Matrix Factorization
title_fullStr Disentangling Multiple Emitting Components in Molecular Observations with Nonnegative Matrix Factorization
title_full_unstemmed Disentangling Multiple Emitting Components in Molecular Observations with Nonnegative Matrix Factorization
title_short Disentangling Multiple Emitting Components in Molecular Observations with Nonnegative Matrix Factorization
title_sort disentangling multiple emitting components in molecular observations with nonnegative matrix factorization
topic Astrochemistry
Astrostatistics techniques
url https://doi.org/10.3847/1538-4357/ad1681
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AT johannesheyl disentanglingmultipleemittingcomponentsinmolecularobservationswithnonnegativematrixfactorization