Probing Systematic Bias in Low-redshift Type Ia Supernova Measurements by Cross Analyzing Surface Brightness and Hubble Residuals

For low-redshift (z < 0.1) Type Ia supernovae (SN Ia) samples used in several cosmological analyses over the past decade, we probe for systematic bias by looking correlations between surface brightness (SB) measurements and Hubble residuals (HR). 292 SNe Ia, measure SB at location of SN from publicly available Pan-STARRS (PS1) images. The are two recent with low-z that overlap PS1 footprint: 1) DES 3-year cosmology analysis, 120 overlapping Harvard-Smithsonian Center Astrophysics surveys Carnegie Supernova Project, 2) single-telescope 172 Foundation Survey. This study is motivated previous reports anomalous inefficiencies flux scatter transients on bright galaxies. We compare HR distributions faint halves distribution: mean values differ Delta = 0.031 +- 0.018, consistent no difference 2 sigma level. also perform a Kolmogorov-Smirnov (KS) test half distributions, conclude statistically KS p-value 0.07. However, if future studies larger datasets find ~ 0.03 high significance, this would be leading uncertainty dark energy equation state, w.