Toward a stellar population catalog in the Kilo Degree Survey: the impact of stellar recipes on stellar masses and star formation rates
arXiv:2307.04120 · doi:10.1007/s11433-023-2173-8
Abstract
The Kilo Degree Survey (KiDS) is currently the only sky survey providing optical () plus near-infrared (NIR, ) seeing matched photometry over an area larger than 1000 . This is obtained by incorporating the NIR data from the VISTA Kilo Degree Infrared Galaxy (VIKING) survey, covering the same KiDS footprint. As such, the KiDS multi-wavelength photometry represents a unique dataset to test the ability of stellar population models to return robust photometric stellar mass () and star-formation rate (SFR) estimates. Here we use a spectroscopic sample of galaxies for which we possess ``gaussianized'' magnitudes from KiDS data release 4. We fit the spectral energy distribution from the 9-band photometry using: 1) three different popular libraries of stellar {population} templates, 2) single burst, simple and delayed exponential star-formation history models, and 3) a wide range of priors on age and metallicity. As template fitting codes we use two popular softwares: LePhare and CIGALE. We investigate the variance of the stellar masses and the star-formation rates from the different combinations of templates, star formation recipes and codes to assess the stability of these estimates and define some ``robust'' median quantities to be included in the upcoming KiDS data releases. As a science validation test, we derive the mass function, the star formation rate function, and the SFR- relation for a low-redshift () sample of galaxies, that result in excellent agreement with previous literature data. The final catalog, containing galaxies with redshift , is made publicly available.
39 pages,4 tables, 14 figures, SCIENCE CHINA Physics, Mechanics & Astronomy Accepted
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