Stellar mass functions: methods, systematics and results for the local Universe
Anna K. Weigel (1), Kevin Schawinski (1), Claudio Bruderer (1) ((1), Institute for Astronomy, ETH Zurich, Switzerland)

TL;DR
This paper develops and applies advanced statistical methods to accurately determine stellar mass functions in the local Universe, accounting for systematics and biases, and provides detailed results for various galaxy subsamples.
Contribution
It introduces a combined approach using classical and maximum likelihood methods to improve stellar mass function estimation and applies it to SDSS data with detailed subsample analysis.
Findings
The galaxy stellar mass function is best described by a double Schechter function.
The method reveals systematic biases affecting low-mass end estimates.
Detailed stellar mass functions are provided for over 130 galaxy subsamples.
Abstract
We present a comprehensive method for determining stellar mass functions, and apply it to samples in the local Universe. We combine the classical 1/Vmax approach with STY, a parametric maximum likelihood method and SWML, a non-parametric maximum likelihood technique. In the parametric approach, we are assuming that the stellar mass function can be modelled by either a single or a double Schechter function and we use a likelihood ratio test to determine which model provides a better fit to the data. We discuss how the stellar mass completeness as a function of z biases the three estimators and how it can affect, especially the low mass end of the stellar mass function. We apply our method to SDSS DR7 data in the redshift range from 0.02 to 0.06. We find that the entire galaxy sample is best described by a double Schechter function with the following parameters: $\log (M^{*}/M_\odot) =…
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