SED Fitting to WISE-GAMA Catalog

animated gif of M/L vs W1-W2



Early Types, W1-W2 color

nominal colors warm colors warmest colors

LogM/L = -0.154, [w1-w2]= -0.047, z=0.03

LogM/L = -0.193, [w1-w2]= 0.045, z=0.025; SA0 type

LogM/L = -0.166, [w1-w2]= 0.045, z=0.054; Sb type

LogM/L = -0.187, [w1-w2]= -0.047, z=0.03

LogM/L = -0.149, [w1-w2]= 0.069, z=0.06

LogM/L = -0.135, [w1-w2]= 0.168, z=0.038

Early Types at higher redshift

z < 0.10 z ~ 0.13 z ~ 0.15

LogM/L = -0.238, [w1-w2]= 0.002, z=0.10

LogM/L = -0.221, [w1-w2]= 0.112, z=0.132; SAb type

LogM/L = -0.281, [w1-w2]= 0.071, z=0.145

LogM/L = -0.109, [w1-w2]= 0.046, z=0.10; SAb pec (Sy2) type

LogM/L = -0.148, [w1-w2]= 0.036, z=0.13

LogM/L = -0.230, [w1-w2]= 0.125, z=0.15l SBc type


Late Types (intermediate M/L) with redshift

z ~ 0.04 z ~ 0.10 z ~ 0.15

LogM/L = -0.522, [w1-w2]= 0.114, z=0.035

LogM/L = -0.538, [w1-w2]= 0.311, z=0.110

LogM/L = -0.462, [w1-w2]= 0.229, z=0.145

LogM/L = -0.494, [w1-w2]= 0.136, z=0.04

LogM/L = -0.477, [w1-w2]= 0.138, z=0.10

LogM/L = -0.460, [w1-w2]= 0.280, z=0.148


Late Types, worsening scores

score ~ 1.1 score ~ 1.70 score ~ 1.95

LogM/L = -0.548, [w1-w2]= 0.105, z=0.104

LogM/L = -0.470, [w1-w2]= 0.223, z=0.096

LogM/L = -0.387, [w1-w2]= 0.187, z=0.125

Truly Bad Scores

score ~ 2.5 score ~ 3.5 score ~ 4.7




Misc ...

Low M/L galaxies and red colors

Log M/L ~ -0.70 Log M/L ~ -0.76

LogM/L = -0.703, [w1-w2]= 0.309, z=0.062

LogM/L = -0.764, [w1-w2]= 0.294, z=0.034

Seyfert-looking Hosts (very warm colors)


LogM/L = -0.428, [w1-w2]= 0.491, z=0.141

LogM/L = -0.935, [w1-w2]= 0.424, z=0.150

Optimal Templating Fitting

Minimize the following function:

P2 = SUM { w(i) * [ 1 - Log10(F(i)) / Log10(Fm(i)) ]^2 }
where i refers to the band measurment, F is the rest flux, and Fm is the template rest flux; w is a normalized weighting factor

score = sqrt(P2) * Xi, where Xi is a normalizing scaling factor taking into account the optimal number of bands (u,g,r,i,j,k,k,w1,w2,w3,w4)