leonarski_fandClaude Opus 5.5
ee350f1f74
Three defects the battery's wrong-model null found (5 sets x 5 deposited models of unrelated proteins): CC(model, data) significance. The per-shell sigma was Fisher's transform on independent reflections, but the data and a scaled model share the falloff across a shell, the anisotropic B fitted to these very data, the bulk solvent and the symmetry enhancement epsilon - whatever the model is. 21 of 24 wrong models read CC_MODEL_CONFIRMED_TO_D_MIN to the data's d_min (10-15 sigma in most shells). The correlation is now formed on I/epsilon and |F_model|^2/epsilon, and its null is empirical: the data at h against the model at h + d for the 26 nearest lattice offsets, which keeps everything smooth in reciprocal space and loses what the model knows of h. SIGMA = (z - mean) / max(sd, 1/sqrt(N-3)) in Fisher z over those 26, a new CC_NULL column shows the null, and a shell confirms only beside a coarser shell that also clears 3 sigma (one shell alone did so once in 216 wrong-model shells). Prototyped on the p_maps.mtz of a full open-arm run and the null runs: wrong models confirm 0/24 (was 21/24), the deposited models confirm 197/200 (was 198/200 in the prototype's reading; the one lost has CC_MODEL 0.05-0.13 in every shell). The report no longer says a model cannot agree by accident. MODEL_FIT gate. Accepted at 3.0 sample sds of a nine-draw null, as if the sd were known; an unrelated P1 helical model on a P3(1) helical crystal was ACCEPTED at +3.05. Against 48 draws it reads +2.09 and the best random placement fits as well as it does, and drawing the null about the cell axes instead changes nothing (+2.15): the cause is the nine-draw sd, not the orientation. The gate is now 3 sigma allowing for that: t(8) * sqrt(1 + 1/9) = 4.51. The deposited models of the open arm read +7.0 and up. The indexing lead stays at 3 sigma (INDEXING_MARGIN_SIGMA): it is read only behind the fit gate, and a deposited model settles one at +4.15. Rigid-body GPU reserve. The finest zone's observations were counted by the data's d, but the zones count them by the d of the index in the model's ASU, and a model's group need not keep the data's metric (an I2(1)3 model on I222 data: 2320 in the zone against 1712 reserved), so the validation died with "zone over the engine's reserve". Counted the zones' way, under every indexing probed. Tests: ModelValidation_CCModelUnrelatedModelConfirmsNothing (Fisher alone reads +4.7 on an unrelated model with an anisotropic falloff; the new sigma stays under 1), ModelValidation_WrongModelInAGroupOffTheDataMetric (fails with the old count), ResultReport_ModelValidationSection (CC_NULL column, lone-shell rule). Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01EizBKhTqrAYago9KJG3dA3
Jungfraujoch
Application to receive and analyse data from the PSI JUNGFRAU and EIGER detectors, together with
rugnux, its program for processing stored diffraction data - rotation and serial, macromolecular
and small-molecule - from images to merged reflections.
All documentation is now placed in docs/ subdirectory and for the current version hosted on Jungfraujoch Read The Docs page.