Palomar 12
 4 iterations.
Chebyshev coeffients a(0)T_0(u)+a(1)T_1(u)+..., where u is log (r/arcsec) mapped to [-1,1]
 a(0)=    24.394 +-  0.181
 a(1)=     3.938 +-  0.301
 a(2)=     0.638 +-  0.253
 a(3)=     0.696 +-  0.232
 a(4)=    -0.480 +-  0.229
 a(5)=     0.306 +-  0.217
 a(6)=    -0.176 +-  0.201
Power-of-x coeffients a(0)+a(1)x+a(2)x^2+..., where x=1+(r/r_c)^2, r_c=0.97
 a(0)=     7.1742
 a(1)=    16.1583
 a(2)=   -27.9881
 a(3)=    22.5872
 a(4)=    -9.1348
 a(5)=     1.8358
 a(6)=    -0.1449
log r(arcsec)   mu_V    mu_V(fitted)  residual   weight  data set