Paper
Untangling dust emission and CIB anisotropies with the Scattering Transform Statistics
Authors
Srijita Sinha, Tuhin Ghosh, Erwan Allys, François Boulanger, Jean-Marc Delouis
Abstract
Template-fit approach is often used to separate the Galactic dust emission and the cosmic infrared background (CIB) anisotropies at low $\text{HI}$ column density regions with an underlying assumption that the gas and dust are tightly correlated. However, this method fails in regions where additional Galactic emission within the molecular hydrogen, diffuse ionized gas, and dark gas are present. We develop and test a statistical component separation to extract the dust signal from the contaminated $\textit{Planck}$ $353\,\rm GHz$ observations using the Scattering Covariance (SC) statistics. We first obtain a set CIB maps over $25$ square patches, each with a sky area of $222\,{\rm deg}^{2}$, using the linear correlation of dust and Galactic $21\,\rm cm$ $\text{HI}$ emission valid at low $\text{HI}$ column density regions using the template-fit approach. We then construct, from these $25$ maps, a generative model of CIB using the SC statistics. We finally rely on this contamination model to perform a component separation of dust and CIB in the $\textit{Planck}$ data for different sky regions. Applying our algorithm to the $\textit{Planck}$ $353\,\rm GHz$ observations, we recover a dust map for a test sky region that has more structures as compared to the corrected SFD map at $100\,μ\rm m$. The differences seen in the map level can be explained by decomposing the recovered $\textit{Planck}$ dust map into two gas phases: dust associated with $N_{\text{HI}}$ and dust associated with $N_{\text{H}_{2}}$. This work provides a clear pathway to map the Galactic interstellar reddening over intermediate and high Galactic latitudes.
Metadata
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"raw_xml": "<entry>\n <id>http://arxiv.org/abs/2603.06110v1</id>\n <title>Untangling dust emission and CIB anisotropies with the Scattering Transform Statistics</title>\n <updated>2026-03-06T10:07:12Z</updated>\n <link href='https://arxiv.org/abs/2603.06110v1' rel='alternate' type='text/html'/>\n <link href='https://arxiv.org/pdf/2603.06110v1' rel='related' title='pdf' type='application/pdf'/>\n <summary>Template-fit approach is often used to separate the Galactic dust emission and the cosmic infrared background (CIB) anisotropies at low $\\text{HI}$ column density regions with an underlying assumption that the gas and dust are tightly correlated. However, this method fails in regions where additional Galactic emission within the molecular hydrogen, diffuse ionized gas, and dark gas are present. We develop and test a statistical component separation to extract the dust signal from the contaminated $\\textit{Planck}$ $353\\,\\rm GHz$ observations using the Scattering Covariance (SC) statistics. We first obtain a set CIB maps over $25$ square patches, each with a sky area of $222\\,{\\rm deg}^{2}$, using the linear correlation of dust and Galactic $21\\,\\rm cm$ $\\text{HI}$ emission valid at low $\\text{HI}$ column density regions using the template-fit approach. We then construct, from these $25$ maps, a generative model of CIB using the SC statistics. We finally rely on this contamination model to perform a component separation of dust and CIB in the $\\textit{Planck}$ data for different sky regions. Applying our algorithm to the $\\textit{Planck}$ $353\\,\\rm GHz$ observations, we recover a dust map for a test sky region that has more structures as compared to the corrected SFD map at $100\\,μ\\rm m$. The differences seen in the map level can be explained by decomposing the recovered $\\textit{Planck}$ dust map into two gas phases: dust associated with $N_{\\text{HI}}$ and dust associated with $N_{\\text{H}_{2}}$. This work provides a clear pathway to map the Galactic interstellar reddening over intermediate and high Galactic latitudes.</summary>\n <category scheme='http://arxiv.org/schemas/atom' term='astro-ph.GA'/>\n <category scheme='http://arxiv.org/schemas/atom' term='astro-ph.CO'/>\n <published>2026-03-06T10:07:12Z</published>\n <arxiv:comment>14 pages; 18 figures</arxiv:comment>\n <arxiv:primary_category term='astro-ph.GA'/>\n <author>\n <name>Srijita Sinha</name>\n <arxiv:affiliation>National Institute of Science Education and Research, An OCC of Homi Bhabha National Institute, Bhubaneswar 752050, Odisha, India</arxiv:affiliation>\n </author>\n <author>\n <name>Tuhin Ghosh</name>\n <arxiv:affiliation>National Institute of Science Education and Research, An OCC of Homi Bhabha National Institute, Bhubaneswar 752050, Odisha, India</arxiv:affiliation>\n </author>\n <author>\n <name>Erwan Allys</name>\n <arxiv:affiliation>Laboratoire de Physique de l'École normale supérieure, ENS, Université PSL, CNRS, Sorbonne Université, Université Paris Cité, F-75005 Paris, France and</arxiv:affiliation>\n </author>\n <author>\n <name>François Boulanger</name>\n <arxiv:affiliation>Laboratoire de Physique de l'École normale supérieure, ENS, Université PSL, CNRS, Sorbonne Université, Université Paris Cité, F-75005 Paris, France and</arxiv:affiliation>\n </author>\n <author>\n <name>Jean-Marc Delouis</name>\n <arxiv:affiliation>Laboratoire d'Océanographie Physique et Spatiale</arxiv:affiliation>\n </author>\n </entry>"
}