Application of the two-dimensional version of the MCMC algorithm (“GalFit2D”) on the ﹩z\sim 0.2﹩ SDSS J165931.92+023021.9 with ﹩{m}_{r}=18.40﹩ mag from Kacprzak et al. (2014). Similarly to GalPaK^3D, Galfit2D performs a parametric fit with an MCMC algorithm using set surface brightness profiles convolved with the seeing. The top row shows the result from archival CFHT I band taken at a resolution of 0.″7. The bottom row shows the result from the SDSS r-band image that has a resolution of 1.″1. Panels (a) and (e) show the data. Using an exponential profile, panels (b) and (f) show the seeing-convolved model; (c) and (g) the residuals, i.e., data-model normalized to the pixel noise σ; and (d) and (h) the one-dimensional SB profile. The recovered intrinsic disk scale length R_d is about 1″ in both cases, in spite of the different spatial resolution.