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您的检索式：作者名="Mario Radovich"
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| 1 | Toward a stellar population catalog in the Kilo Degree Survey:The impact of stellar recipes on stellar masses and star formation rates显示文摘The Kilo Degree Survey(Ki DS)is currently the only sky survey providing optical(ugri)plus near-infrared(NIR,ZY H JKS)seeing matched photometry over an area larger than 1000 deg2.This is obtained by incorporating the NIR data from the VISTA Kilo Degree Infrared Galaxy(VIKING)survey,covering the same Ki DS footprint.As such,the Ki DS multi-wavelength photometry represents a unique dataset to test the ability of stellar population models to return robust photometric stellar mass(M_(*))and star-formation rate(SFR)estimates.Here we use a spectroscopic sample of galaxies for which we possess ugri ZY JHK_(s)“gaussianized”magnitudes from Ki DS 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:Le Phare 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 Ki DS data releases.As a science validation test,we derive the mass function,the star formation rate function,and the SFR-M_(*)relation for a low-redshift(z<0.5)sample of galaxies,that result in excellent agreement with previous literature data.The final catalog,containing~290000 galaxies with redshift 0.01 | 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 | 2023 | Science China(Physics,Mechanics & Astronomy)2023，66，12： | 0 |
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