linear fitting, passive evolution

On the plane I figured out the correct, xy symmetric, minmal formalism for fitting a straight line to 2-d data not simply with errors in both dimensions, but with an arbitrary, different, 2×2 covariance matrix for each data point.

I semi-decided to punt on an empirical understanding of the passive evolution of post-starburst galaxies, and worked out a semi-theoretical method, which involves "photometering" the K and A spectra in the bandpasses we use. (I also re-discovered our nomenclature ambiguity between the amplitudes of the K and A spectra and the spectra themselves.)

1 comment:

  1. re: photometering. I've had my Panasonic on "spot mode" since I bought it, but the pictures seem a little dark to me. Ideas?