Per-image geometry refinement is a tradeoff that flips per dataset: beam+cell refinement
extends OCP merge quality but DIVERGES on sparse-spot stills (e.g. KR2's ~20 spots around a
232 A axis), pushing good lattices out of tolerance so they fail the acceptance floor.
`-r multi` runs all three (none / orientation / beam_and_lattice) on a copy per image and
keeps whichever indexes the most spots (scorer = fractional-Miller-within-tolerance count,
mirroring AnalyzeIndexing); ties prefer less refinement, to avoid overfitting the sparse list.
Validated: KR2 index 7.08% (-r beam_and_lattice default) -> 10.05% (matches the -r none best),
while OCP R-free stays ~equal to beam_and_lattice. New GeomRefinementAlgorithmEnum::Multi handled
in the CLI/HDF5/command-line echoes; the API convert maps it to beam_and_lattice (offline only).
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
leonarski_fandClaude Opus 4.8
4a5028d98d