Difference in fitting results compared to fortran sedfitter

In a test fit of Kurucz model atmospheres to a large (150,000) catalog of combined UKIDSS/2MASS and GLIMPSE point sources in a chunk of the Galactic midplane, I find ~10% more badly fit sources using the python sedfitter than previously with the fortran sedfitter. Best of my knowledge* all fitting parameters are the same (extinction law is your old ex_law_gl.par file, cpd=2, minimum datapoints = 4).

*Am I correct that the format/units of old extinction law files, including lots of extraneous columns, are still appropriate for the python sedfitter?

Compare the Python sedfitter with the Fortran sedfitter using the stated settings: the old ex_law_gl.par extinction law, cpd=2, and a minimum of four datapoints. First verify whether the old extinction-law format and units, including its extra columns, are accepted, then identify why the Python fit produces about 10% more badly fit sources.

Written by the indexing model from the issue text.