def normalizer(modelin,continuum,i):
model = load_spec(modelin,'PHOENIX')
cont = load_spec(continuum,'PHOENIXcont')
specgrid =np.arange(3000,12000,0.01)
a = modelin.split('-')
print 'Normalizing model:', a[0], a[1],'K', ',Continuum scaling:', noscale[i]
modelflux = np.interp(specgrid,model[:,0], model[:,1])
contflux = np.interp(specgrid,cont[:,0], cont[:,1])
normflux = modelflux/contflux
convnormflux = convolve(normflux, 6, 0.01)
convnormflux2 = convolve(convnormflux,2,0.01)
normalflux = convnormflux2/noscale[i]
end = len(a[3]) - 2
normalspec = array((specgrid,normalflux)).T
np.savetxt('PHOENIXnorm/{}-{}-{}-{}.norm.conv.nonalpha.7'.format(a[0],a[1],a[2],a[3][0:end])
,normalspec, fmt='%.18e')
