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Large-scale Maps of the Cosmic Infrared Background from Planck
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abstract
The cosmic infrared background (CIB) is a powerful probe of large-scale structure across a very large redshift range, and consists of unresolved redshifted infrared emission from dusty galaxies. It can be used to study the astrophysics of galaxies, the star formation history of the universe, and the connection between dark and luminous matter. It can furthermore be used as a tracer of the large-scale structure and thus assist in de-lensing of the cosmic microwave background. The major difficulty in its use lies in obtaining accurate and unbiased large-scale CIB images that are cleaned of the contamination by Galactic dust. We used data on neutral atomic hydrogen from the recently-released HI4PI Survey to create template maps of Galactic dust, allowing us to remove this component from the Planck intensity maps from 353 to 857 GHz for approximately $25\%$ of the sky. This allows us to constrain the CIB power spectrum down to $\ell\gtrsim 70$. We present these CIB maps and the various processing and validation steps that we have performed to ensure their quality, as well as a comparison with previous studies. All our data products are made publicly available at https://doi.org/10.7910/DVN/8A1SR3, thereby enabling the community to investigate a wide range of questions related to the universe's large-scale structure.
Forward citations
Cited by 3 Pith papers
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Minimizing Contaminant Leakage in Internal Linear Combination Maps Using a Data-Driven Approach
Data-driven selection of the effective CIB spectral index per multipole bin enables unbiased, higher signal-to-noise tSZ-halo cross-correlations without moment deprojection.
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SPT-3G D1: Foreground-Robust Lensing Templates for Primordial Gravitational Wave Searches
A foreground-robust CMB lensing B-mode template combining SPT-3G lensing reconstructions with a Planck CIB tracer achieves residual lensing amplitude 0.48 over ell=20-200, the best delensing efficiency reported to date.
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Wavelet Flow For Extragalactic Foreground Simulations
A Wavelet Flow generative model jointly produces CMB lensing convergence and cosmic infrared background maps whose power spectra and Minkowski functionals match the training simulation within a few percent.
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