A pass's P1 merges - the search merge, the all-observations merge, the P1 cross-check - each ran the
partial scaling loop from scratch on identical inputs (about 5 s each on a 16M CPU-only run). The loop
restarts from corr_ingested, fits every frame from its own observations and the group means alone,
and writes G and corr only on the frames it fits; everything else it reads is fixed at Ingest. So
over the same ASU grouping and settings (space group, Friedel, resolution limits, partiality floor,
window, iteration cap) it ends where it ended before, and the frames, G and corr it left are kept for
the next Run to take. Frames it does not fit keep whatever G they had, as before.
Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01D1G8gJVAy6gp1K5Dz3NE5C
leonarski_fandClaude Opus 5.5
68b295e9d8