Toward a stellar population catalog in the Kilo Degree Survey: the impact of stellar recipes on stellar masses and star formation rates
Linghua Xie, Nicola R. Napolitano, Xiaotong Guo, Crescenzo Tortora,, Haicheng Feng, Antonios Katsianis, Rui Li, Sirui Wu, Mario Radovich, Leslie, K. Hunt, Yang Wang, Lin Tang, Baitian Tang, Zhiqi Huang

TL;DR
This study evaluates how different stellar population models and fitting methods affect the estimation of stellar masses and star formation rates in a large galaxy survey, ensuring robust results for future data releases.
Contribution
It systematically compares various stellar population templates, star formation histories, and fitting codes to assess their impact on galaxy property estimates in the KiDS survey.
Findings
Stellar mass and SFR estimates are consistent across different models and codes.
Derived galaxy mass and SFR functions agree with previous literature.
A robust catalog of ~290,000 galaxies is produced for the KiDS survey.
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…
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