http://arxiv.org/abs/1410.0009
The mid-infrared is an optimal window to trace stellar mass in nearby galaxies and the 3.6 micron IRAC band has been exploited to this effect, but such mass estimates can be biased by dust emission. We present our pipeline to reveal the old stellar flux at 3.6 micron and obtain stellar mass maps for more than 1600 galaxies available from the Spitzer Survey of Stellar Structure in Galaxies (S4G). This survey consists of images in two infrared bands (3.6 and 4.5 micron), and we use the Independent Component Analysis (ICA) method presented in Meidt et al. (2012) to separate the dominant light from old stars and the dust emission that can significantly contribute to the observed 3.6 micron flux. We exclude from our ICA analysis galaxies with low signal-to-noise (S/N < 10) and those with original [3.6]-[4.5] colors compatible with an old stellar population, indicative of little dust emission (mostly early Hubble types, which can directly provide good mass maps). For the remaining 1251 galaxies to which ICA was successfully applied, we find that as much as 10-30% of the total light at 3.6 micron typically originates from dust, and locally it can reach even higher values. This contamination fraction shows a correlation with specific star formation rates, confirming that the dust emission that we detect is related to star formation. Additionally, we have used our large sample of mass estimates to calibrate a relationship of effective M/L as a function of observed [3.6]-[4.5] color: log(M/L)=-0.339 (+/- 0.057) x ([3.6]-[4.5]) -0.336 (+/-0.002). Our final pipeline products will be made public through IRSA, providing the astronomical community with an unprecedentedly large set of stellar mass maps ready to use for scientific applications.
M. Querejeta, S. Meidt, E. Schinnerer, et. al.
Thu, 2 Oct 14
8/65
Comments: Accepted for publication by the Astrophysical Journal (Supplements). Data available as a tar-ball from IRSA (this http URL); searchable option as part of S4G will become available in November 2014. Readme file and table of parameters inside tar-ball (P5_README.txt, P5_table.txt)
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