Every lattice decision counts spots or frames, and the sub-lattice's strong
reflections win every count, so a crystal whose cell is doubled by a weak
superstructure class (9min, 6z9g) is adopted at the half cell. This asks the
question in intensities instead. On 60 frames spread over the sweep, after
each frame's own integration, the 2a x 2b x 2c supercell of its primitive
lattice is predicted to 3 A with the frame's own refined orientation and
geometry and integrated on the same engine; the reflections are summed per
parity class in two shells (20-5, 5-3 A), with a fit of intensity against
partiality (I = a + b p) that separates what rocks like a Bragg reflection
from what sits at the node whatever the rocking. Only the tested frames are
predicted and nothing is retained, so memory is bounded (the previous
prototype predicted the whole run through the merge and ran out of GPU
memory). The probe's integrations are kept out of the engine's own counts,
which the two-pass stencil guard reads. Results are bit-identical with and
without it.
REPORT ONLY - it decides nothing, because on the battery it does not yet
separate a weak real class from what sits at the half-integer nodes of
crystals whose cell is right. Real classes: 6z9g class 101 at 24 % of the
lattice's intensity (29 % rocking), 9min 100 at 19 % (4 % rocking - its real
class does not rock like the lattice either). On correct cells the largest
classes reach 9-12 % raw (7n2s, 9i0a, 7os3) and 3-4 % rocking (7dkp, 7os3),
and 7mzt reads 40 % / 19 % on a class the deposition does not have. The log
line is the population a decision has to be calibrated on.
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
2b476336ae