2 Commits

Include renames

Author	SHA1	Message	Date
leonarski_fandClaude Opus 5	b22e1b6822	rugnux: raise the ice-ring mask margin to the measured null ... The mask drops a hexagonal-ice ring when its merged half-set CC1/2 falls a fixed 0.05 below its resolution shoulders. That margin is not a significance level: at the populations these rings actually have, 0.05 spans 1.1 to 7.3 sigma across firings, and a nominal Fisher-z error understates the real scatter of these heavy-tailed intensities by ~2.7x, so the null has to be measured rather than derived. Measured it with decoy bands - the identical ring/shoulder statistic evaluated at q positions carrying no ice ring - over the 37-crystal rotation battery: the gap's empirical null is p95 +0.032, p99 +0.095. So 0.05 sits near the 96th percentile, about 4% of ice-free bands clear it, and roughly half the 22 observed firings are indistinguishable from bands with no ice in them. The firing gaps are continuous, not bimodal, with 12 of 22 in [0.05, 0.10). Raise it to 0.10, the 99th percentile of that null. Firings 22 -> 10, crystals 12 -> 5, decoy false-positive rate 3.4% -> 0.8%. An independent check against XDS - which integrates through ice rings and so measures exactly what we delete - agrees: of the firings with a usable comparison, 9 true / 9 false becomes 7 true / 2 false. Battery: space groups 34 OK / 3 DIFF, the same three crystals as baseline, and no other discrete decision changes on 37/37. The heavily iced crystal keeps all five of its rings and its CC1/2 of 96.6; eight others recover 3.9-11.9% more unique reflections and up to 10.4 completeness points. Cost is CC1/2 -0.84 on one crystal, -0.35 on another, and agreement with XDS on the common reflections worse by a median 0.0004. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>	2026-08-05 19:00:10 +02:00
leonarski_fandClaude Opus 5	ea667cb306	rugnux: handle ice rings in --scale as the full pipeline does ... --scale did none of the ice handling the run that wrote the _process.h5 had done, so re-scaling a stored dataset silently produced a different - and flatteringly more complete - answer than the pipeline it was meant to reproduce. Three separate gaps: * --detect-ice-rings was accepted and ignored. The --scale block returns before the line that applies it. * Reflections were never flagged as sitting on an ice ring, so the per-image scale fit included them. The flag is not stored per reflection, so it has to be recomputed from the resolution. * RotationScaleMerge was constructed with the ice half-width hardcoded to zero. That is what turns a resolution into a ring index, so every ice test inside the merge was a no-op whatever was passed to it. The CC1/2 ring test that decides which rings to drop moves into FindDecorrelatedIceRings, shared with the full pipeline so both reach the same verdict on the same data, and --scale now re-merges with the mask the way the pipeline does. The stills branch re-runs only the merge: the scaling has already been applied to the reflections and repeating it would compound it. Measured on a rotation dataset with three decorrelated rings, --scale went from 8765 unique / 36.3% completeness / R-meas 18.5% / <I/sig> 1.1 to 7638 / 31.6% / 18.0% / 1.3, against the full pipeline's 7692 / 31.8% / 17.9% / 1.3 - the reported completeness had been inflated by reflections the pipeline drops. The full pipeline is bit-identical across the refactor. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>	2026-08-02 19:49:55 +02:00