The score's baseline was two adjacent shoulder bins with a bin-overlap bug - the
ring's edge bins were counted in both the ring and the shoulder, since
GetMeanValueOfBins is inclusive. At the typical (coarse) azint binning (dq ~ 0.05
in q, wider than the 0.03 ring half-width) a shoulder is only ~1 bin, so the ratio
was noisy and poorly separated. Replace it with the ring intensity over a smooth
whole-profile background: a running median of the non-ice bins, interpolated under
each ring.
Clean crystals now sit at ~1.0 and ice separates far more cleanly on
/data/rotation_test: cytC 1.06->1.03, lysoC 1.23->2.77, EP_cs_01-17 1.67->4.51
(max 11.4). A z-score / abnormality probability was tried but is uninformative
here - with many photons any real ice ring is highly significant, so the useful
discriminator is the ice magnitude (this ratio), noted in CPU_DATA_ANALYSIS.md.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
leonarski_fandClaude Fable 5
5737d2e1d0
