Reconstructing the stellar mass distributions of galaxies using S4G IRAC 3.6 and 4.5 micron images: I. Correcting for contamination by PAH, hot dust, and intermediate age stars
Sharon E. Meidt, Eva Schinnerer, Johan H. Knapen, Albert Bosma, E., Athanassoula, Kartik Sheth, Ronald J. Buta, Dennis Zaritsky, Eija, Laurikainen, Debra Elmegreen, Bruce G. Elmegreen, Dimitri A. Gadotti, Heikki, Salo, Michael Regan, Luis C. Ho, Barry F. Madore, Joannah L. Hinz

TL;DR
This study develops an ICA-based method to separate old star light from contaminants like dust and intermediate-age stars in IR images, enabling accurate stellar mass maps of nearby galaxies.
Contribution
It introduces a novel ICA technique to effectively remove non-stellar emission from IR images, improving the accuracy of stellar mass distribution mapping.
Findings
Contaminants contribute 5-15% of the 3.6 micron light overall.
Intermediate-age stars account for 1-5% of the total emission.
Dust contributes around 22% in star-forming regions.
Abstract
With the aim of constructing accurate 2D maps of the stellar mass distribution in nearby galaxies from S4G 3.6 and 4.5 micron images, we report on the separation of the light from old stars from the emission contributed by contaminants (e.g. hot dust and the 3.3 micron PAH feature). Results for a small sample of six disk galaxies (NGC 1566, NGC 2976, NGC 3031, NGC 3184, NGC 4321, and NGC 5194) with a range of morphological properties, dust contents and star formation histories are presented to demonstrate our approach. We use an Independent Component Analysis (ICA) technique designed to separate statistically independent source distributions, maximizing the distinction in the [3.6]-[4.5] colors of the sources. The technique also removes emission from intermediate-age evolved red objects with a low mass-to-light ratio, such as asymptotic giant branch (AGB) and red supergiant (RSG) stars,…
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