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)