Spatially-unresolved SED fitting can underestimate galaxy masses: a solution to the missing mass problem
Robert Sorba, Marcin Sawicki

TL;DR
Spatially-unresolved SED fitting significantly underestimates galaxy stellar masses at high sSFR, and correcting for this bias can resolve discrepancies in cosmic star formation history and stellar mass density estimates.
Contribution
This paper demonstrates that unresolved SED fitting underestimates galaxy masses at high sSFR and provides an analytic correction to improve mass estimates and cosmic measurements.
Findings
Unresolved masses can be underestimated by factors of up to 5.
The mass discrepancy depends on the galaxy's specific star formation rate.
Correcting for this bias increases the high-redshift stellar mass density and resolves the missing mass problem.
Abstract
We perform spatially-resolved, pixel-by-pixel SED fitting on galaxies up to in the Hubble Extreme Deep Field (XDF). Comparing stellar mass estimates from spatially resolved and spatially unresolved photometry we find that unresolved masses can be systematically underestimated by factors of up to 5. The ratio of the unresolved to resolved mass measurement depends on the galaxy's specific star formation rate (sSFR): at low sSFRs the bias is small, but above sSFR yr the discrepancy increases rapidly such that galaxies with sSFRs yr have unresolved mass estimates of only one half to one fifth of the resolved value. This result indicates that stellar masses estimated from spatially-unresolved datasets need to be systematically corrected, in some cases by large amounts, and we provide an analytic prescription for applying this…
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