This catalogue shows the fitting results from the Haeussler et al 2007 fitting paper, the comparison between fits on shallower GEMS data to deeper GOODS data. Values of -9999 and/or -99 show that no values were derived for this parameter. uncertainties for fitting parameters here show value returned by the codes, which underestimate the true errors as we have shown in our paper. PARAMETER FORMAT example explanation SKY_SHALLOW FLOAT 21.2140 Shallow data: sky determined by GALAPAGOS, used in GALFIT SKY_SIGMA_SHALLOW FLOAT 0.0720168 Shallow data: GALAPAGOS uncertainty of the sky SKY_DEEP FLOAT 111.811 Deep data: sky determined by GALAPAGOS, used in GALFIT SKY_SIGMA_DEEP FLOAT 0.288617 Deep data: GALAPAGOS uncertainty of the sky EXPTIME_SHALLOW FLOAT 2120.00 Shallow data: exposure time EXPTIME_DEEP FLOAT 10600.0 Deep data: exposure time GALFIT_FLAGS_SHALLOW STRING 'fitted' Shallow data: flag for GALFIT, can be: 'constr' (ran into constraints during the fit) 'missed' (not detected at all by SExtractor) 'fitted' (was fitted succesfully without running into constraints) 'bombed' (the fit crashed) GALFIT_POSTAGE_SIZE_X_SHALLOW INT 235 Shallow data: size X of postage stamp used for GALFIT GALFIT_POSTAGE_SIZE_Y_SHALLOW INT 217 Shallow data: size Y of postage stamp used for GALFIT GALFIT_FLAGS_DEEP STRING 'fitted' Deep data: flag for GALFIT, can be: 'constr' (ran into constraints during the fit) 'missed' (not detected at all by SExtractor) 'fitted' (was fitted succesfully without running into constraints) 'bombed' (the fit crashed) GALFIT_POSTAGE_SIZE_X_DEEP INT 201 Deep data: size X of postage stamp used for GALFIT GALFIT_POSTAGE_SIZE_Y_DEEP INT 253 Deep data: size Y of postage stamp used for GALFIT GALFIT_POSX_SHALLOW FLOAT 116.348 Shallow data: GALFIT position X (in respect to the postage stamp!) GALFIT_D_POSX_SHALLOW FLOAT 0.132400 Shallow data: GALFIT uncertainty in position X GALFIT_POSY_SHALLOW FLOAT 107.098 Shallow data: GALFIT position Y (in respect to the postage stamp!) GALFIT_D_POSY_SHALLOW FLOAT 0.121900 Shallow data: GALFIT uncertainty in position Y GALFIT_MAG_SHALLOW FLOAT 22.7444 Shallow data: GALFIT magnitude GALFIT_D_MAG_SHALLOW FLOAT 0.0320000 Shallow data: GALFIT uncertainty in magnitude GALFIT_RE_SHALLOW FLOAT 13.9696 Shallow data: GALFIT halflight-radius re GALFIT_D_RE_SHALLOW FLOAT 0.673600 Shallow data: GALFIT uncertainty in re GALFIT_N_SHALLOW FLOAT 1.40500 Shallow data: GALFIT sersic index n GALFIT_D_N_SHALLOW FLOAT 0.0749000 Shallow data: GALFIT uncertainty in n GALFIT_AR_SHALLOW FLOAT 0.677300 Shallow data: GALFIT axis ratio AR GALFIT_D_AR_SHALLOW FLOAT 0.0209000 Shallow data: GALFIT uncertainty in AR GALFIT_PA_SHALLOW FLOAT 44.5883 Shallow data: GALFIT position angle GALFIT_D_PA_SHALLOW FLOAT 2.98010 Shallow data: GALFIT uncertainty in PA GALFIT_CHI2NU_SHALLOW FLOAT 0.511431 Shallow data: GALFIT chi^2_nu from the fit GALFIT_NCOMP_SHALLOW INT 2 Shallow data: GALFIT # of objects simultaneously fitted GALFIT_CLOSEST_COMP_SHALLOW INT 3 Shallow data: GALFIT number of the closest object GALFIT_CLOSEST_DIST_SHALLOW FLOAT 101.494 Shallow data: GALFIT distance of closest object to primary object GALFIT_CLOSEST_MAG_SHALLOW FLOAT 23.8971 Shallow data: GALFIT magnitude of closest object GALFIT_POSX_DEEP FLOAT 98.8055 Deep data: GALFIT position X (in respect to the postage stamp!) GALFIT_D_POSX_DEEP FLOAT 0.0827000 Deep data: GALFIT uncertainty in position X GALFIT_POSY_DEEP FLOAT 127.333 Deep data: GALFIT position Y (in respect to the postage stamp!) GALFIT_D_POSY_DEEP FLOAT 0.113700 Deep data: GALFIT uncertainty in position Y GALFIT_MAG_DEEP FLOAT 22.6134 Deep data: GALFIT magnitude GALFIT_D_MAG_DEEP FLOAT 0.0224000 Deep data: GALFIT uncertainty in magnitude GALFIT_RE_DEEP FLOAT 16.5126 Deep data: GALFIT halflight-radius re GALFIT_D_RE_DEEP FLOAT 0.583900 Deep data: GALFIT uncertainty in re GALFIT_N_DEEP FLOAT 1.73180 Deep data: GALFIT sersic index n GALFIT_D_N_DEEP FLOAT 0.0609000 Deep data: GALFIT uncertainty in n GALFIT_AR_DEEP FLOAT 0.648400 Deep data: GALFIT axis ratio AR GALFIT_D_AR_DEEP FLOAT 0.0140000 Deep data: GALFIT uncertainty in AR GALFIT_PA_DEEP FLOAT 112.605 Deep data: GALFIT position angle GALFIT_D_PA_DEEP FLOAT 1.80000 Deep data: GALFIT uncertainty in PA GALFIT_CHI2NU_DEEP FLOAT 1.78885 Deep data: GALFIT chi^2_nu from the fit GALFIT_NCOMP_DEEP INT 2 Deep data: GALFIT # of objects simultaneously fitted GALFIT_CLOSEST_COMP_DEEP INT 3 Deep data: GALFIT number of the closest object GALFIT_CLOSEST_DIST_DEEP FLOAT 101.955 Deep data: GALFIT distance of closest object to primary object GALFIT_CLOSEST_MAG_DEEP FLOAT 23.8941 Deep data: GALFIT magnitude of closest object SEX_MAG_SHALLOW FLOAT 22.9651 Shallow data: SExtractor MAG_BEST SEX_D_MAG_SHALLOW FLOAT 0.0544000 Shallow data: SExtractor MAGERR_BEST SEX_KRON_SHALLOW FLOAT 6.71000 Shallow data: SExtractor KRON_RADIUS SEX_RE_SHALLOW FLOAT 11.4870 Shallow data: SExtractor FLUX_RADIUS SEX_POSX_SHALLOW FLOAT 1871.03 Shallow data: SExtractor X_IMAGE SEX_POSY_SHALLOW FLOAT 110.036 Shallow data: SExtractor Y_IMAGE SEX_CXX_SHALLOW FLOAT 0.00102520 Shallow data: SExtractor CXX SEX_CYY_SHALLOW FLOAT 0.00135720 Shallow data: SExtractor CYY SEX_CXY_SHALLOW FLOAT -0.00111380 Shallow data: SExtractor CXY SEX_PA_SHALLOW FLOAT 36.7000 Shallow data: SExtractor THETA_IMAGE SEX_ELLIPS_SHALLOW FLOAT 0.413000 Shallow data: SExtractor ELLIPTICITY SEX_FLAGS_SHALLOW INT 0 Shallow data: SExtractor FLAGS SEX_STAR_SHALLOW FLOAT 0.00000 Shallow data: SExtractor CLASS_STAR SEX_MAG_DEEP FLOAT 22.7855 Deep data: SExtractor MAG_BEST SEX_D_MAG_DEEP FLOAT 0.0164000 Deep data: SExtractor MAGERR_BEST SEX_KRON_DEEP FLOAT 6.10000 Deep data: SExtractor KRON_RADIUS SEX_RE_DEEP FLOAT 13.2490 Deep data: SExtractor FLUX_RADIUS SEX_POSX_DEEP FLOAT 1160.53 Deep data: SExtractor X_IMAGE SEX_POSY_DEEP FLOAT 6866.48 Deep data: SExtractor Y_IMAGE SEX_CXX_DEEP FLOAT 0.00108800 Deep data: SExtractor CXX SEX_CYY_DEEP FLOAT 0.000545400 Deep data: SExtractor CYY SEX_CXY_DEEP FLOAT 0.000302000 Deep data: SExtractor CXY SEX_PA_DEEP FLOAT -75.4000 Deep data: SExtractor THETA_IMAGE SEX_ELLIPS_DEEP FLOAT 0.330000 Deep data: SExtractor ELLIPTICITY SEX_FLAGS_DEEP INT 0 Deep data: SExtractor FLAGS SEX_STAR_DEEP FLOAT 0.00000 Deep data: SExtractor CLASS_STAR GIM2D_MAG_SHALLOW FLOAT 22.9320 Shallow data: GIM2D magnitude GIM2D_D_MAG_SHALLOW FLOAT 0.0662836 Shallow data: GIM2D uncertainty in magnitude GIM2D_RE_SHALLOW FLOAT 12.7000 Shallow data: GIM2D halflight-radius re GIM2D_D_RE_SHALLOW FLOAT 1.09522 Shallow data: GIM2D uncertainty in re GIM2D_ELLIP_SHALLOW FLOAT 0.331020 Shallow data: GIM2D ellipticity GIM2D_D_ELLIP_SHALLOW FLOAT 0.0487254 Shallow data: GIM2D uncertainty in ellipticity GIM2D_PA_SHALLOW FLOAT 45.0216 Shallow data: GIM2D position angle GIM2D_D_PA_SHALLOW FLOAT 8.45347 Shallow data: GIM2D uncertainty in PA GIM2D_N_SHALLOW FLOAT 1.18320 Shallow data: GIM2D sersic index n GIM2D_D_N_SHALLOW FLOAT 0.167237 Shallow data: GIM2D uncertainty in n GIM2D_CHI_SHALLOW FLOAT 0.938890 Shallow data: GIM2D chi^2 from the fit GIM2D_FLAGS_SHALLOW STRING 'fitted' Shallow data: flag for GIM2D, can be: 'constr' (ran into constraints during the fit) 'missed' (not detected at all by SExtractor) 'fitted' (was fitted succesfully without running into constraints) 'bombed' (the fit crashed) GIM2D_MAG_DEEP FLOAT 22.5333 Deep data: GIM2D magnitude GIM2D_D_MAG_DEEP FLOAT 0.0412725 Deep data: GIM2D uncertainty in magnitude GIM2D_RE_DEEP FLOAT 19.6000 Deep data: GIM2D halflight-radius re GIM2D_D_RE_DEEP FLOAT 1.22576 Deep data: GIM2D uncertainty in re GIM2D_ELLIP_DEEP FLOAT 0.352921 Deep data: GIM2D ellipticity GIM2D_D_ELLIP_DEEP FLOAT 0.0290824 Deep data: GIM2D uncertainty in ellipticity GIM2D_PA_DEEP FLOAT -22.3112 Deep data: GIM2D position angle GIM2D_D_PA_DEEP FLOAT 2.61731 Deep data: GIM2D uncertainty in PA GIM2D_N_DEEP FLOAT 2.00314 Deep data: GIM2D sersic index n GIM2D_D_N_DEEP FLOAT 0.110508 Deep data: GIM2D uncertainty in n GIM2D_CHI_DEEP FLOAT 2.30207 Deep data: GIM2D chi^2 from the fit GIM2D_FLAGS_DEEP STRING 'fitted' Deep data: flag for GIM2D, can be: 'constr' (ran into constraints during the fit) 'missed' (not detected at all by SExtractor) 'fitted' (was fitted succesfully without running into constraints) 'bombed' (the fit crashed)