Constraints on the star formation histories of galaxies from z~1 to z~0
Yan-Mei Chen, Vivienne Wild, Guinevere Kauffmann, Jeremy Blaizot, Marc, Davis, Kai Noeske, Jian-Min Wang, Christopher Willmer

TL;DR
This study introduces a PCA-based spectral method to estimate the average specific star formation rate of galaxy populations across redshifts, revealing mass-dependent growth and the impact of AGN feedback from z~1 to z~0.
Contribution
The paper presents a novel, dust-weak method using spectral features to measure SSFR in stacked galaxy spectra across different redshifts and masses.
Findings
High mass galaxies have lower SSFRs than low mass galaxies.
Average SSFR decreases by a factor of 3-4 from z=1 to z=0.
Massive galaxies take longer to form their stars at current rates.
Abstract
We present a new method to estimate the average star formation rate per unit stellar mass (SSFR) of a stacked population of galaxies. We combine the spectra of 600-1000 galaxies with similar stellar masses and parameterise the star formation history of this stacked population using a set of exponentially declining functions. The strength of the Hydrogen Balmer absorption line series in the rest-frame wavelength range 3750-4150\AA is used to constrain the SSFR by comparing with a library of models generated using the BC03 stellar population code. Our method, based on a principal component analysis (PCA), can be applied in a consistent way to spectra drawn from local galaxy surveys and from surveys at , and is only weakly influenced by attenuation due to dust. We apply our method to galaxy samples drawn from SDSS and DEEP2 to study mass-dependent growth of galaxies from $z \sim…
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