Fourier-space combination of Planck and Herschel images
J. Abreu-Vicente, A. Stutz, Th. Henning, E. Keto, J., Ballesteros-Paredes, T. Robitaille

TL;DR
This paper introduces a Fourier-based method to accurately combine Planck and Herschel images, correcting background intensity issues in Herschel data to improve molecular cloud property maps.
Contribution
The authors develop a novel Fourier-space technique that effectively merges Planck and Herschel data, addressing background level uncertainties in Herschel observations.
Findings
Significant differences in column density and temperature maps when using the new method.
The method successfully corrects Herschel images, including background variations.
Validation with synthetic data confirms the method's effectiveness.
Abstract
Herschel has revolutionized our ability to measure column densities (N) and temperatures (T) of molecular clouds thanks to its far infrared multiwavelength coverage. However, the lack of a well defined background intensity level in the Herschel data limits the accuracy of the N and T maps. We provide a method that corrects the missing Herschel background intensity levels using the Planck model for foreground Galactic thermal dust emission. We present a Fourier method that combines the publicly available Planck model on large angular scales with the Herschel images on smaller angular scales. We apply our method to two regions spanning a range of Galactic environments: Perseus and the Galactic plane region around (HiGal--11). We post-process the combined dust continuum emission images to generate column density and temperature maps. We compare these to…
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