C_invhat=numpy.dot(numpy.dot(numpy.transpose(Vh),numpy.diag(s)),numpy.transpose(U))
C_inv=numpy.zeros((n,n),dtype=double)
C_inv[n_strong:n,n_strong:n]=C_invhat
zw=numpy.append((zs-0.1832)/zs,(1.4-0.1832)/1.4+numpy.zeros(n_weak,dtype=double))
delx,dely,chi_prevmat=smooth_pbl.chisq(x1,y1,id_image,n_strong,n_weak,a1mat,a2mat,strong_weight,C_inv,psi,g1mat,g2mat,kmat,e1,e2,zw)
chi_prev=sum(chi_prevmat)
print "chi_start= ",chi_prev
eps=0.1
del_chi=100
n_iter=10
eps=0.01
#while (del_chi>eps):
for i in xrange(1):
C_kap,dpsi=smooth_pbl.create_psi(x1,y1,id_image,n_strong,n_weak,a1mat,a2mat,strong_weight,psi,kmat,g1mat,g2mat,C_inv,e1,e2,zw,sig_e,W)
psi+=dpsi
delta_x,delta_y,chi2=smooth_pbl.chisq(x1,y1,id_image,n_strong,n_weak,a1mat,a2mat,strong_weight,C_inv,psi,g1mat,g2mat,kmat,e1,e2,zw)
print "chi= ",chi2
print "iter"
del_chi=(chi_prev-chi2)
chi_prev=chi2
kappa=numpy.dot(kmat,psi)*zw
nx=240
kap_grid=smooth_pbl.grid_field_gaussian(x1,y1,kappa,nx,nx)
gamma1=dot(g1mat,psi)
gamma2=dot(g2mat,psi)
#C_kap=smooth_pbl.cov_kap(n_strong,g1mat,g2mat,kmat,C_inv,W,sig_e,gamma1,gamma2)
err=numpy.zeros(n,dtype=double)
e2=e2_sm.copy()
s=eig1/(eig1**2+alpha**2)
psi=numpy.zeros(n,dtype=double)
C_inv=numpy.dot(numpy.dot(numpy.transpose(Vh),numpy.diag(s)),numpy.transpose(U))
zw=(1.4-0.165)/1.4
chi_prevmat=smooth_pbl.chisq(C_inv,psi,g1mat,g2mat,kmat,e1,e2,zw)
chi_prev=sum(chi_prevmat)
eps=0.1
del_chi=1000
n_iter=10
eps=0.01
while (del_chi>eps):
L1,L2,dpsi=smooth_pbl.create_psi(psi,kmat,g1mat,g2mat,C_inv,e1,e2,zw)
psi+=dpsi
chi2mat=smooth_pbl.chisq(C_inv,psi,g1mat,g2mat,kmat,e1,e2,zw)
chi2=sum(chi2mat)
print "iter"
del_chi=(chi_prev-chi2)
chi_prev=chi2
kappa=numpy.dot(kmat,psi)
nx=60
kap_grid=smooth_pbl.grid_field_gaussian(x1,y1,kappa,nx,nx)
gamma1=dot(g1mat,psi)
gamma2=dot(g2mat,psi)
C_kap=smooth_pbl.cov_kap(g1mat,g2mat,kmat,C_inv,W,sig_e,gamma1,gamma2)
err=numpy.zeros(n,dtype=double)
