291 Commits

Include renames

Author	SHA1	Message	Date
leonarski_fandClaude Opus 5	ce3199748d	Scaling: report the stretches of a sweep the crystal did not deliver ... Rotation processing no longer refuses to integrate a frame that fails to index on its own, which is right - no other program does that - but it means a genuinely bad stretch of a sweep is now integrated instead of quietly dropped. Some sweeps have a real problem behind that stretch: the crystal partly or wholly out of the illuminated volume, off the rotation axis, or dying of dose. That is actionable at the beamline ("recollect", "re-centre"), and until now nothing said it. MeasureSweepQuality reports it as contiguous RANGES, never per-frame flags, and reports only - no observation is excluded on the strength of it. A single weak frame is noise; forty consecutive ones are a fact about the experiment, and the frames still carry signal worth merging. The discriminator is that the incident flux is already out of the per-image scale before that scale is fitted (DivideOutIncidentFlux runs from Ingest), so a drop in G that the beam does not explain is on the sample side by elimination. Measured on one crystal with a dead arc: the flux proxy spans 1.4x across the run where the fitted scale spans 246x. A range needs BOTH per-frame channels down: the scale, and the CC to merge. The CC channel is what keeps a merely attenuated stretch out - absorption and flux scale a frame's intensities without changing how well they correlate with the merged reference. Without it the clean high-multiplicity control, whose per-image scale swings 4x on a 180 degree period, would be reported as a bad crystal. It is not: it produces no ranges at all, and neither does the other control. Five codes, each the field's own words and each a phrase a report can print: no diffraction - essentially nothing was recorded from the indexed lattice over the range out of beam - frames were lost: the range gets a scale far less often than the run does weak diffraction - the frames all still index, with much less intensity; cause not determined loss of centring - one cycle of modulation per revolution (autoPROC's words for the phenomenon) radiation damage - the range runs to the end of a sweep whose quality was already decaying Only the last two claim a cause, and each rests on its own evidence. Damage is progressive, so it must have been setting in before the range and must not recover. Loss of centring rests on the one signature that breaks a documented degeneracy: Evans (Acta Cryst. D62, 72-82) notes that illuminated volume and absorption are indistinguishable, but a crystal's own shape absorbs on a 180 degree period, so a dominant 360 degree fundamental over a full turn cannot be the crystal's shape. That test runs on the total scale, flux included, unlike everything else here - the flux proxy is a background, a crystal leaving the beam takes its own scattering with it, and the beam cannot be periodic in an angle it does not know. Where the evidence does not reach, weak diffraction says so rather than guessing. Frame numbers are processed-image ordinals, inclusive at both ends, the numbering of _image.dat. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>	2026-08-11 19:51:05 +02:00
leonarski_fandClaude Opus 5	e5c0066129	rugnux: write a results report next to the reflections ... Everything a run determines went to stdout and nowhere else. The space group and the evidence behind it, the error model, the post-refine commit-or-reject decisions and their held-out residuals, the two-pass adopt-or-roll-back, the resolution cut, the merging statistics - all of it scrolled past interleaved with progress lines and was gone. A user who was not watching had no record, and nothing could read it. `rugnux` had no log file at all; the `rugnux.log` in the regression harness is that harness capturing stdout. Write `<prefix>_report.txt` alongside the .cif/.mtz/.hkl, always, with no option to ask for it. It holds what the run DETERMINED; timing, rates, per-image progress and engine chatter stay on stdout, where they belong. Every line rugnux logs was classified result-or-process against the regression corpus to decide what crosses over. The format follows XDS's CORRECT.LP, which has been read by people and parsed by other programs for twenty years: `KEY= value` assignment lines a script greps one at a time, fixed-width tables with stable headers and a total row, `WARNING:` sentences in plain English, section banners. REPORT_VERSION says when that interface last changed. It is assembled from results the pipeline already computed, so an unconditional file costs nothing, and a failure to write it is logged and swallowed - a run that produced good reflections must not be lost to a side file. One thing CORRECT.LP does not have to solve: a rotation run integrates twice and writes both passes, so every report says which pass it describes and why that pass was adopted. `--no-merge` gets a report too, saying MERGE= NOT_PERFORMED rather than leaving a reader to infer it from absent sections. An empty output prefix still writes nothing. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>	2026-08-11 19:51:05 +02:00
leonarski_fandClaude Opus 5	b9078d9a59	Scaling: drop a frame whose scale collapses, do not merge it unscaled ... Two guards catch a per-frame scale far below the run median. Both then invented a value for it - one substituted the run median, the other set corr = 1 and merged the frame "unscaled". For a frame whose scale really is 1/17402 of its neighbours', asserting 1 is worse than asserting nothing, and it is the assertion that does the damage: those observations enter the merge at full weight carrying an intensity scale that is wrong by four orders of magnitude. It surfaced when rotation started integrating every frame the sweep's lattice explains, but it is not caused by that change - six crystals in the battery already tripped these guards before it. What the extra frames did was find a crystal where the collapsed population is large enough to dominate: R_meas 19.1 -> 90.1%, ISa 25.60 -> 4.58, from 17% more observations. The frames are not sparse and the fit is not running away. A per-frame dump shows 3394 observations on the median collapsed frame against 3469 on live ones - the scale is over-determined 3400:1 for one parameter - and 113 frames fit exactly zero. They form one contiguous arc of about 68 degrees once the sweep's wrap is accounted for, over which the per-frame correlation to the merge is 0.035 against 0.85 elsewhere, while the flux measured from the background varies by only 1.55x. So the fitted zero is a well-determined measurement that the frame holds no diffraction from this lattice, not a failure to measure. The frames are empty, not under-determined. That is also why the smooth or shrunk alternatives do not apply, and both were built and measured rather than argued away: giving a collapsed frame the geometric mean of its credible neighbours is worse than the baseline (R_meas 115.3%), because it merges noise at the weight of a good frame, and a dead region 112 and 232 frames wide has no local neighbourhood to borrow from in any case. Dropping them: R_meas 90.1 -> 38.3%, low-resolution R_meas 26.9 -> 10.2% (past XDS's 14.3), ISa 4.58 -> 22.00, CC1/2 99.0 -> 99.9, with 5.4% more observations retained than before frames were integrated at all. Over the full battery, against the same binary without either change, ISa moves from -22.5 to -3.4 summed, CC1/2 +24.6, and 216247 more observations. The crystal that motivated the integration change is untouched by this one, bit for bit. The detection and the MIN_CREDIBLE_SCALE_RATIO threshold are unchanged. Note that threshold is now marginal: its own comment records 0.070 as the smallest legitimate ratio seen, and one crystal here has a legitimate live frame at 0.026, so it cannot be raised to catch the partly-dead transition frames at the edges of an arc without risking real data. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>	2026-08-11 17:59:45 +02:00
leonarski_fandClaude Opus 5	9885d1fc28	Rotation: integrate every frame the sweep's lattice explains ... A rotation dataset has ONE lattice. Once the first pass has found it and the goniometer gives each frame its orientation, every frame of the sweep is a frame of that crystal - yet integration was gated on each frame re-indexing on its own, a test that carries an absolute floor of 9 indexed spots. A weakly diffracting crystal shows a handful of spots per image while the geometry still puts ~1500 reflections on the detector, so the floor threw away whole frames that had nothing wrong with them. Measured on a 360-degree battery crystal: 1484 of its 1800 frames failed that gate, all of them on the spot-count floor alone and none on the consistency test - the median failing frame had 4 spots and the lattice indexed all 4. Integration therefore ran on 17.7% of the sweep and the merge came out 35.7% complete at multiplicity 1.1, against XDS's 97.7% at 2.81 from the same images. XDS's own INTEGRATE.LP shows why the floor is the wrong test there: 964 of its frames have fewer than 9 strong spots and it predicts ~1483 reflections near the Ewald sphere on every one of them, because INTEGRATE works from the global orientation and has no per-frame indexing gate at all. Neither does dials.integrate. Split the one verdict into the two questions it was answering. "Does this frame index?" - what the indexing rate reports and what the first pass scores candidate lattices on - keeps the floor, because a handful of spots sit on almost any lattice by chance. "Is this frame worth integrating?" keeps only the consistency part, and only where the lattice does not come from this frame. A frame whose spots largely MISS the lattice is still refused: on another battery crystal that is 35% of the sweep, and integrating those collapsed the space group to P1 - the floor had been shielding the merge from frames the model does not describe, which is a different defect and not one to paper over here. Two consequences had to be handled. A frame that is too sparse to index is also too sparse to fit its own rocking width, and the placeholder it used to predict with was being reported onward as if measured, into the frame-order average that recomputes every partiality; report nothing instead, and fill the gaps in that average with the run's median rather than a fixed default. Probe (XDS in brackets): the crystal above goes 9 700 -> 81 956 observations, 8 618 -> 23 960 unique [23 576], 35.7% -> 99.4% complete [97.7%], R_meas 21.2% -> 68.6% [76.7%], CC1/2 96.0% -> 86.4% [81.1%], low-shell R_meas 7.2% -> 14.3% [20.6%], ISa unmeasurable -> 13.8 [10.4] - better than XDS on every statistic, where before it was merging a third of the data. A second crystal gains 41% more observations with R_meas 12.6% -> 8.5% and ISa 3.3 -> 3.7. The high-multiplicity control is unchanged to 2 observations in 924 782, and four further crystals move within recompilation noise. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>	2026-08-11 17:59:13 +02:00
leonarski_fandClaude Opus 5	d8029524e7	Scaling: never let an observation's own fluctuation set its weight ... A weighted mean is only unbiased while the weights are independent of the values being averaged. The IUCr's own nomenclature report (Schwarzenbach et al., Acta Cryst A45 (1989) 63-75) puts it directly: weights in averaging "should not be based on the counting statistics of the individual observations whose estimated variances are biased and result in larger weights for accidentally low intensities". Two places in the rotation pipeline were doing exactly that, and between them they drove whole resolution shells of merged intensity negative. 1. The profile fit computed its non-signal variance as var_bkg = max(0, 1/den - max(0, I) + bkg-estimate term) The point of a separate var_bkg is that it does NOT move with the reflection's own fluctuation, and 1/den - I is the quantity that does not: 1/den is the fit variance taken at the fitted intensity and grows with it roughly one for one. Clamping the subtrahend at zero left a down-fluctuated reflection's own deflated variance standing as its background variance. Measured over 6.9 M partials of one weak rotation dataset, var_bkg/bkg came out at 3.7-5.4 for observations with I < 0 against 11.4-13.7 for I > 0 - the down-fluctuated half of every reflection carried a variance ~2.7x too small and was weighted up by the same factor, first in the 3D combine and then again in the merge. Removing the clamp makes var_bkg flat in I (~13 x bkg across the whole range). 2. The merge then weighted each combined full by 1/sigma_full^2, and sigma_full is by construction a function of the full's own answer: the combine's variance carries a corr*max(0, F) signal term, so every full with F <= 0 got the smallest variance the model allows while the strongest quartile got 2.26x more. The merge now rebuilds that variance at the reflection's mean instead, from a linear model var(I) = var_bkg + var_per_I * I that the combine measures and stores on the full. This mirrors MergeOnTheFly::CorrectedSigma, whose comment already claimed to mirror the rotation combine. Verified against an estimator that cannot see the fluctuation - summing the partials and dividing by the summed partiality, the classical construction every other program uses (Greenhough & Suddath, J. Appl. Cryst. 19 (1986) 400-409, via Leslie, Acta Cryst D55 (1999) 1696-1702: profile fitting biases the individual partials but not their sum). Reproducing the merge on dumped observations, the shipped weighting sat ~1.9 sigma below that reference in the noise shells; the two changes recover most of it, and every intensity-independent weighting scheme agrees with the reference once (1) is in. Four-crystal probe, XDS resolution limits, branch fingerprint identical on all four (so none of these is a two-pass branch flip): weak cubic case last shell <I/sig> -1.6 -> +0.2 (XDS +0.10), last shell R_meas 478% -> 250% (XDS 246%), overall <I/sig> 6.1 -> 7.5 (XDS 7.18), R_meas 18.3% -> 18.1%, CC1/2_hi 38.2% -> 43.7% tetragonal case outer shells <I/sig> -0.4/-0.8/-0.9/-1.0 -> +1.8/+1.2/ +0.9/+0.4, R_meas 184%/595%/7614%/nan -> 95%/119%/135%/232% (the nan was the shell mean crossing zero), R_meas 33.3% -> 32.9%, CC1/2_hi 38.3% -> 56.5% trigonal case R_meas 13.0% -> 12.5%, CC1/2_hi 14.4% -> 16.5% strong control unchanged to every printed digit but ISa Cost: ISa falls (17.2 -> 14.0 and 16.7 -> 14.9 on the two mid-strength cases, 28.3 -> 27.8 on the control). Strong reflections are untouched by (1) - their partials are all positive, so var_bkg is bit-identical - but the joint a/b fit redistributes: honest weak sigmas lower a, and b rises to keep the strong bins fitted. The median reduced chi^2 improves (1.25 -> 1.14, 1.35 -> 1.28) so the new split describes the scatter better, but ISa is the one headline metric that moves the wrong way and it should be watched over the full battery. The integrator change is shared, so the stills merge sees it too; there it feeds GetExpectedVarianceMerge, which had been handed the same contaminated var_bkg. That path is untested here. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>	2026-08-11 17:40:15 +02:00
leonarski_fandClaude Opus 5	43627e22dc	docs: a rule for licences and academic credit, and apply it ... Several methods adopted recently came from other crystallographic packages - the screw-absence test from POINTLESS, MINPK and the profile-fit reweighting from XDS/Otwinowski, the CC1/2 cutoff and merge outlier rejection from DIALS, the per-frame indexing gate from CrystFEL - and nothing in the repository said where such a debt is recorded. The licence side was already worked out (licences beside the vendored code, verbatim texts in licenses/ collected by COLLECT.sh, a row in THIRD_PARTY_NOTICES.md, all installed under share/doc/jfjoch); the credit side was ad hoc. Write the rule into CLAUDE.md. It states the distinction that matters: vendoring or linking someone's CODE creates a LICENCE obligation, discharged in licenses/ and THIRD_PARTY_NOTICES.md; reimplementing an algorithm from a PAPER creates none of that but creates an obligation of academic CREDIT, discharged in docs/ACKNOWLEDGEMENT.md and in a comment at the algorithm. Neither substitutes for the other, and taking both source and paper incurs both. It also fixes the citation form (authors, title, year, journal, volume, pages, verified DOI), and says in-source credit goes at the algorithm, not the file header, in the one-line style the code already uses. Then bring the repository into compliance for the works concerned: docs/ACKNOWLEDGEMENT.md gains a section acknowledging XDS, DIALS, POINTLESS/CCP4, MOSFLM, CrystFEL, GEMMI, the Kabsch/Otwinowski profile fit, the Diederichs & Karplus statistics and the IUCr nomenclature reports, each with a DOI checked against Crossref; docs/CPU_DATA_ANALYSIS.md's reference list gains the ones it was missing; and four algorithms gain a line naming their source where no adjacent comment carried one. No licence change. licenses/ and THIRD_PARTY_NOTICES.md are untouched. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>	2026-08-11 16:34:48 +02:00
leonarski_fandClaude Opus 5	6d39a4e1ab	Space-group search: decide a screw from the evidence, not from a count of absences ... A screw's predicted-absent class was required to hold min_absent_observed = 8 reflections before the screw could be claimed. That count is the wrong measure of evidence, and it is wrong in both directions. A screw extinguishes one row of reciprocal space, and that row is often the one a rotation sweep records least: it lies near the spindle, where the blind cusp maps onto itself and symmetry cannot fill it in. Counting it measures the geometry of the sweep. A monoclinic crystal whose 2-fold sits 7.6 deg from the spindle contributed six 0k0-odd reflections, every one of them measured between -0.013 and 4e-5 of the shell mean with zero violations, against a 0k0 row averaging 1.44x the shell mean - and was refused its 2_1 for being six rather than eight. XDS's own integration of the same images finds seventeen of those reflections and every one of them is likewise dead. The count is equally wrong the other way: a uniformly weak axial row produces no violations at all, so with enough reflections on it a screw is claimed from no evidence whatsoever. The second new test section demonstrates exactly that on the old gate. Judge the class by how unlikely it would be if the screw did not exist. Under "no screw" the absent class and the rest of its row are both Wilson-distributed with the same mean, so with each absent intensity taken in units of its row's control mean, sum_u/(sum_u + n_control) follows Beta(n_absent, n_control) exactly; the reported evidence is -log of that lower tail. The row's own strength cancels, which is the property the count lacks, and the scale is set by the number of reflections, so few-but-decisive and many-but-marginal are told apart. It is sigma-free by design: the merged sigma carries the error model's intensity-proportional term and so shrinks with I, reading much the same on an absent reflection as on a present one. This follows POINTLESS (Evans, Acta Cryst D67, 282-292 (2011), Appendix A3), which likewise scores an absence against the rest of its own axial row rather than against a global mean or a fixed cut, and likewise lets confidence fall away with the number of axial reflections instead of refusing outright below a count. POINTLESS calibrates its null width from control transforms of non-axial reflections; the Beta tail here is an analytic null in its place. XDS is not a reference for this: it "deliberately avoids any test for the presence of screw axes as these tests would depend strongly on the completeness of the data" (Kabsch, Acta Cryst D66, 133-144 (2010), section 6), so a screw axis in a CORRECT.LP was supplied to it, not determined by it. Measured over five probe crystals, genuine screw conditions read 34-800 nats and false ones - the 4_1/4_3 conditions of a cubic crystal that has no screw, whose predicted-absent class is STRONGER than its control row - read -7 to -8.5. The bound is set at 20, in the gap, at p <= 2e-9: three well-measured dead axial reflections clear it and two do not. min_absent_observed keeps its job for CENTERING, where a count is a fair measure - that class is a third to a half of every reflection in the data set and the bound is never binding on a centering that exists. The candidate table now prints the screw-absent count and this evidence in place of the two E^2 medians that were its raw ingredients, so a refusal can be read off the log. Measured on the five probes: the monoclinic crystal above returns to P2_1 with every merge statistic unchanged (R_meas 58.8 -> 58.7%, CC1/2 49.1 -> 49.3%, ISa 6.61 -> 6.59 - P2 and P2_1 share a point group, so only the symbol and the absent reflections differ). The other four are untouched, space group included, and the two-pass branch fingerprint (indexed frames, distance, mosaicity) is identical on all five. The full battery has not been run. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>	2026-08-11 16:15:56 +02:00
leonarski_fandClaude Opus 5	7bbf072ad2	Scaling: do not report an ISa that was never measured ... The error model's systematic term b is identified only by the spread of I^2/sigma^2 across the intensity bins the fit uses, and those bins hold equal COUNTS. So when fewer reflections are strong than one bin holds - a sixteenth of the pool - the top bin's median sits at an intensity where b cannot be measured at all, and the fit hands it the bins' own noise-selection slope instead: sorting noise by its group mean squared makes dev2 rise with I2 even when the true b is zero, and with no strong bin to out-vote it that slope becomes b. The result is not a small error. On the battery's weakest crystal, 2.2% of whose fulls reach I/sigma 2, the fit returns b = 5.6 - sigma -> 2*I at the strong end - and since corrected_sigma applies b at the GROUP MEAN, sigma^2 = a*sigma^2 + (b*mean)^2 is a per-group constant that caps merged |I/sigma| at sqrt(n)/b. The cap lands at 2.3, so 98.8% of merged reflections come out below 3 and the reported ISa is 0.50, on data whose CC1/2 is 99.3% at multiplicity 18.7. XDS fits 6.13 from the same images. Feeding XDS's own scaled observations through this estimator returns 0.84, so it is the estimator and not the data; synthetic data built with b = 0 and 1.8% strong reproduces a = 0.51 and ISa 0.50 to two digits, and recovers the truth as soon as the strong fraction passes one bin. So refuse to report what was not measured: when the strongest bin's own (I/sigma)^2 is below 4, fit a alone, hold b at zero and warn that ISa is unmeasured. The threshold is not delicate - the two crystals it fires on sit at 0.22 and 0.84 while the next crystal in the battery is at 31.7 and a healthy one at 342, so anything from 4 to 25 selects the same two. Full 38-crystal rotation battery: it fires on those two crystals and no others, and space groups are unchanged at 35/38. Dropping the spurious term also fixes the merge weights it had been distorting - on the worse of the two, R_meas 19.2 -> 13.6%, low-resolution R_meas 13.8 -> 6.9% against XDS's 14.1%, CC1/2 98.7 -> 100.0%, with chi2 1.11 on the one-parameter model. Two further crystals move slightly; the guard never fires on either, and they are marginal crystals of the kind whose two-pass branch any recompilation can shift. This reports the parameter as unmeasured rather than clamping it to something plausible, because the honest statement is that the data do not reach far enough for a systematic error to be seen - not that there is none. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>	2026-08-11 06:14:46 +02:00
leonarski_fandClaude Opus 5	b40abe31cf	Scaling: one exact-Bragg angle per rocking event ... Every partial's delta_phi was solved from its OWN frame's lattice - by the predictor, and again by SmoothGeometry. Per-frame geometry is re-refined against that frame's spots alone, so what is left of its jitter entered each frame of an event independently and the frames of one rocking event stopped sitting exactly one oscillation apart on the curve. Their partialities then no longer tile it, and because a broad rocking curve spans more frames, the error grows as 1/zeta - which is how it has been showing up: a zeta-graded systematic that nothing in the integrator could reach. For the frames of one event the geometry is exact. Each frame has already turned one oscillation further, so delta_phi is linear in frame number with slope minus the increment; the sign is checked against the data rather than derived, the measured mean frame-to-frame slope being -0.19996 deg/frame at an increment of 0.20000. Fit the one free number, the offset, over the event and lay its partials back on that line. The rms departure removed is 0.25 deg - larger than the oscillation itself, because a small orientation wobble is amplified by 1/zeta. The raw-hkl runs the merge already builds give the grouping, so this costs one pass over the partials and no extra sort. Full 38-crystal rotation battery against the same binary without it, on unchanged data (observations +0.20%, unique reflections +0.03%, so none of this is selection): R_meas_lo better 22 / worse 5, summed -41.0 pp; excess against XDS -46.9 -> -87.9 R_meas better 22 / worse 5, summed -24.7 CC1/2 better 17 / worse 2, summed +36.8 ISa better 15 / worse 22, summed +6.87; shortfall against XDS 28.1 -> 21.2 space groups unchanged at 35/38 The low-resolution R_meas gains land on the crystals that have carried this gap: 19.3 -> 10.8, 20.7 -> 13.8 (now past XDS), 25.6 -> 19.7, 17.5 -> 12.4 per cent. Exactly one crystal shows any change in the two-pass branch fingerprint, so unlike most changes on this path the result is not confounded by that bistability. ISa falls on more crystals than it rises, and that is the estimator becoming honest rather than the data getting worse: every crystal whose ISa dropped materially was over-optimistic against its own R_meas_lo and moved toward consistency, and the median ratio of reported ISa to the value its own R_meas_lo implies goes 1.09 -> 1.01, against 1.19 for XDS. The one real loss is a crystal going 1.11 -> 0.95 on that ratio. High-shell CC1/2 is worse on 22 crystals, by about 1.2 points each. It is the one metric that dissents, and it is also the one that has failed as an arbiter repeatedly on this data, while overall CC1/2, R_meas, R_meas_lo and reflection count all improve on an unchanged number of observations. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>	2026-08-11 05:25:47 +02:00
leonarski_fandClaude Opus 5	6f7b136ec2	Bragg integration: a shared signal pixel belongs to the nearer reflection ... Nothing kept a neighbour's flux out of a reflection's own signal disk. The union mask keeps neighbour cores out of the BACKGROUND ring, but the r1 disk was read whole, so on a dense pattern a crowded reflection measures part of its neighbour as its own. Ownership is decided once per image into a per-pixel (quantised distance, reflection) key written with an atomic minimum, so the nearest predicted centre wins whatever order the writes arrive in and the lowest index breaks a tie. `--overlap exclude`, now the default, drops the pixels a nearer neighbour owns from the profile fit. A profile fit is the amplitude of a normalised profile, so leaving pixels out renormalises the estimator by construction and the reflection stays unbiased rather than being discarded; the summation-fallback guard is scaled back to the disk the box-sum seed actually read, so it still compares like with like. `--overlap reject` is the XDS MINPK alternative - drop the reflection when less than `--overlap-minpk` of its expected profile is cleanly its own. A box sum has no profile to renormalise with, so `exclude` is a no-op there and only `reject` acts on it. Widening the split - keeping a pixel only where no other centre is within its distance PLUS a margin - was built and measured, and it is worse monotonically: the residual bias of the pixels that were kept grows from +0.072 to +0.209 in ln intensity at 0 to 3 px of margin. What the margin removes is the reflection's own profile, not the neighbour's tail, so the plain nearest-centre split is the rule. Measured on the full 38-crystal rotation battery against the same binary with the treatment off: ISa better 15 / worse 8, summed shortfall against XDS 39.7 -> 28.1. Three of the losses are the two-pass loop taking its other branch - their median mosaicity moves between the two known attractors - rather than the change under test; excluding those it is better 15 / worse 5 and the shortfall goes 31.3 -> 14.4. The two crowded crystals gain 38% and 52% of their ISa, one of them passing XDS. High-shell CC1/2 over the 35 crystals that neither flipped branch nor carry a collapsed error model is better 7 / worse 7. Space groups unchanged at 35/38. The owner map is built only when a treatment is asked for and costs 1.1% of the battery's wall clock - 23% on a genuinely crowded crystal, nothing where no two predictions touch. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>	2026-08-11 05:02:31 +02:00
leonarski_fandClaude Opus 5	06a5a118bf	Bragg integration: widen the background ring to r3 = 13 ... The background is estimated from the r2..r3 ring and then subtracted from every pixel of the r1 disk, so the ring mean's own error enters the intensity n_inner times over: var(I) carries n_inner^2 * bkg / n_B. That term is first-order in sigma, and it is set by how many pixels the ring holds - not by anything about the reflection. At r3 = 10 the ring holds about 200 px against the disk's 50. Widening it to 13 roughly doubles that. The signal disk is untouched, and the pixels gained lie further from the reflection rather than nearer, so nothing is traded for them. The effect is not subtle once looked for. Matched observation by observation on one crystal, halving the ring's pixel count leaves the intensity alone and inflates sigma by 4.7%, and the inflation rank-orders with the ring collapse across the battery. Over the whole rotation battery, against the same binary at r3 = 10: ISa better on 14 crystals and worse on 4, the summed shortfall against the reference 164.7 -> 155.9, the summed low-resolution R_meas excess 69.7 -> 59.1 percentage points, and one more crystal reaching the reference space group (33/37 -> 34/37, a trigonal case that was over-promoting). Largest gains where the ring was starved worst; the four losses are 0.25 to 2.16 in ISa and none of them changes a space group. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>	2026-08-11 00:07:30 +02:00
leonarski_fandClaude Opus 5	e0bd208666	Prediction: measure the rocking curve against the frame's edge, not its centre ... A reflection was accepted onto an image when |delta_phi| * zeta was within the mosaicity window, where delta_phi is the offset from the frame's mid-exposure angle to the exact diffracting condition. That asks whether the frame's CENTRE lies inside the rocking curve, which is a stricter question than the one that matters: whether any of the curve lies inside the frame's exposure. The two differ by half a wedge, and the partiality computed a few lines further down already integrates over that half wedge on both sides - so the acceptance test and the quantity it gates disagreed about where the frame is. The consequence is not a clipped intensity but a lost reflection. Consecutive frame centres are one wedge apart, so the nearest centre can be half a wedge away; once the window is narrower than that, the reflection fails the test on its best frame and on every other, and is never predicted at all. That happens when sigma_eff < zeta * wedge / (2 * mosaicity_multiplier) - coarse slicing on a sharp crystal at high zeta, which is where a reflection is fully recorded on one image and measured best. Subtracting the half wedge from the tested offset restores the intended question. On a crystal that reaches the regime (0.4 deg per image, fitted sigma_M 0.051 deg) low-resolution R_meas goes 6.8% -> 5.4% and ISa 13.3 -> 14.1. Elsewhere the window merely widens by half a wedge, which admits partials whose partiality is a few parts in a thousand; those are correctly measured and correctly down-weighted, and four of the six crystals tested do not move, while one loses 1.2 ISa. Both engines carry the same test and both are changed. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>	2026-08-10 22:20:00 +02:00
leonarski_fandClaude Opus 5	adf87e8675	Merging: export the XDS-comparable ISa under jfjoch_diffrn_ISa ... The mmCIF's _reflns.jfjoch_diffrn_ISa carried the strong-reflection asymptote, a tier XDS has no equivalent of, while the name invites comparison with XDS's ISa - which is the whole-range 1/sqrt(a*b). rugnux_vs_xds.py reads that item for the battery's ISa column, so the comparison that column exists to make was between two different quantities, flattering rugnux by the difference between the tiers. Write the whole-range value there, move the asymptote to _reflns.jfjoch_diffrn_ISa_asymptotic, and add _reflns.jfjoch_error_model_a and _b in XDS's convention so the number can be re-derived from the file rather than taken on trust. On a broadband rotation dataset the battery column now reads 13.25 against XDS's 21.18 where it read 15.6 before, and the two error models can be compared term by term for the first time: a 1.538 vs 1.249 and b 3.71e-03 vs 1.78e-03, so the gap is in BOTH the counting and the systematic term (1.23x and 2.08x, and sqrt(1.23*2.08) = 1.60 = 21.18/13.25). This is a deliberate redefinition of an exported item, not an addition: a file written by an earlier version carries the asymptote under the old name and there is no version marker to tell them apart. Noted in the changelog and in docs/CPU_DATA_ANALYSIS.md. Nothing reads the item back into the pipeline - it is written and never parsed by rugnux itself - so no stored file is reinterpreted in a way that changes a result. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>	2026-08-10 18:55:46 +02:00
leonarski_fandClaude Opus 5	ac06b5c64f	Merging: report the error model in XDS's convention ... rugnux fits sigma^2 = a*sigma0^2 + (b*<I>)^2, so its `b` is a fraction of the intensity. XDS fits sigma^2 = a*(sigma0^2 + b*I^2) and prints ISa = 1/sqrt(a*b). The two `a` are the same number, but the two `b` are not - b_xds = b^2/a - so the pair rugnux printed could not be read against a CORRECT.LP, which is the only reason anyone looks at it. Convert at the report. The fit, the merge weights and both engines' variance expressions are untouched, so this is a re-expression and not a change: on a rotation dataset the merged intensities move strictly less between before and after than they do between two runs of the SAME binary (99.9% identical, max |dI/I| 9.1e-4 against the run-to-run control's 7.5e-3), with the same reflection set. The rotation path also printed the wrong ISa for the comparison it invites. What it calls ISa is the strong-reflection asymptote, a tier XDS has no equivalent of and which can only ever be the more optimistic of the two; XDS's ISa is the whole-range 1/sqrt(a*b), which in rugnux units is exactly 1/b. Print both, labelled. On a broadband rotation dataset that is 13.2 (whole range) and 15.6 (asymptote) against XDS's 21.18 - so the number previously compared was flattering rugnux by 2.4. A third, unrelated `b` lives in the space-group search: fitted with the sigma^2 coefficient held at 1, with gate constants calibrated in that convention, and a ratio bound does not survive the mapping (1.90 would have to become 3.61) while the absolute floor has no correct value at all, there being no `a`. It is now commented as such, since making the three consistent is the obvious wrong move. Also corrects three comments and two doc passages that still described a merged-sigma systematic floor deleted in 72efb75a8. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>	2026-08-10 18:50:22 +02:00
leonarski_fandClaude Opus 5	bf80935b80	Bragg integration: do not let the radial correction outlive its kernel table ... The kernel table is sized and built only where the correction can ever run - explicitly on, or auto, which is the same condition the GPU allocates its radial buffers under. BackgroundRadial(true) on any other engine therefore asked the CPU to correct with a single CIRCULAR kernel for rings that may be elongated, while the GPU, having no buffers, did not correct at all: a wrong kernel on one engine and silence on the other, from the same call. Only the auto path calls it today, so it was unreachable, but the setter is public and the invariant it depends on is not local to it. Remember whether the table was built and refuse to raise the flag otherwise. Also treat a zero stencil cap as "uncapped" rather than "no growth". The engine always sets max_grow, so this changes nothing that runs; it makes a caller that forgets it fail loudly instead of silently disabling the feature. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>	2026-08-10 16:38:37 +02:00
leonarski_fandClaude Opus 5	61d24db59f	Bragg integration: elongate the background ring per reflection ... The signal disk and the r2..r3 background ring were fixed pixel circles, identical for every reflection at every resolution. A reflection is not round: a finite bandwidth streaks it radially by bw_sigma*Rpx, so at high resolution the ring sits within 1.3-2.2 sigma of the reflection's own profile and measures its tails as background. --integration-stencil <k> makes the RING an ellipse, elongated along the beam->reflection direction by k times that streak, capped at 2*r3. The tangential half-widths stay r2 and r3, and the r1 signal disk stays a circle: r1 drives the all-or-nothing n_inner_valid == n_inner gate, so growing it rejects any reflection carrying one bad pixel along a long streak, and the flux a circular r1 loses is a function of resolution alone, which the per-shell scale absorbs. The geometry lives in one shared header compiled by both the host compiler and nvcc, so the seven pixel-classification sites - the CPU mask/main/clip loops and the GPU mark_mask/main/trim/clip kernels - cannot drift apart. Rather than evaluate an ellipse, each pixel's squared distance has its radial part scaled down, d2 - q*rad^2 against r2^2/r3^2 with q = 1 - (r/(r+grow))^2, so grow = 0 gives q = 0 and both tests collapse onto d2 exactly in floating point. The width is the bandwidth streak alone, not the profile's full radial variance, which also carries the sensor parallax and weak-spot capture terms. Deriving the growth from those was implemented first and measured on the rotation battery: at k=1 it took Thau_9's high-shell CC1/2 from 75.8 to 27.9 and Benas_3's from 14.1 to 6.0, against cytC_10 +1.2 and lyso_ref flat. On a monochromatic beam they are the only terms there are, and C_CAPTURE is 64% of them. Keeping only the streak also makes the option exactly inert without a bandwidth, rather than merely small. Default 0. Measured on broadband rotation data with the bandwidth set to its spectroscopic value, matched resolution limits: high-shell CC1/2 30.6 -> 46.4 at k=4, and better in EVERY shell in both CC1/2 and R_meas (top shell R_meas 194.7% -> 138.7%), with completeness, multiplicity and space group unchanged and 28 of 98833 unique reflections lost. Anomalous peak height over 18 sites +0.107 +- 0.039 sigma (p = 0.013). The full 38-crystal rotation battery is unchanged to every reported digit, base against k=3. Two consequences of an elongated ring are handled rather than inherited. The neighbour exclusion marks the inner ELLIPSE in each neighbour's own frame, or an elongated neighbour leaks its tails into this reflection's ring. And the radial-background curvature kernel becomes a small table indexed by the growth, because its azimuthal average makes one kernel serve every reflection only while their stencils are identical; the GPU's radial window, previously a fixed 32 bins, is now sized on the host from the widest ring on the detector. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>	2026-08-10 15:19:28 +02:00
leonarski_fandClaude Opus 5	4869dbd984	Space-group search: do not judge centering on a non-positive present mean ... The centering test compares the absent class's mean intensity against half the present class's. With a present mean at or below zero - which happens on a merge dominated by noise - the bound is non-positive, and the comparison stops measuring whether the absences are weak and starts turning on the sign of the absent mean. Seen in an uncut merge: absent -0.16 against present -0.03, where a more negative absent class passes and one nearer zero fails, both by accident. Require a positive present mean before the mean-ratio branch can confirm a centering. The rate branch below it counts violations rather than averaging intensities, so it cannot change sign, and it already exists for exactly the weak-data case this leaves to it. No crystal in the battery changes, at matched limits or with the automatic cutoff. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>	2026-08-10 05:52:33 +02:00
leonarski_fandClaude Opus 5	f766a342bb	Scaling: take the detector modulation surface to a 24x24 grid ... The per-detector-plane modulation surface was learned on a 16x16 grid. Fitting the same surface to rugnux's own symmetry mates and cross-validating on held-out frames shows the grid was the binding constraint, not the data: held-out R_meas improves monotonically to 24x24 and then stops - none 12.64%, 8x8 11.13%, 16x16 10.71%, 24x24 10.58%, 32x32 10.60%, 48x48 10.58%, 64x64 10.60%. At d > 4.4 A the same ladder reads 5.29 / 4.92 / 4.86 / 4.66 / 4.72 / 4.64 / 4.74%. Frame-parity, random 50/50 and 4-fold splits agree. The structure being fitted is ours, not a reference program's: the same surface fitted to the other program's observations of the SAME events moves it 7.10 -> 7.07%, against 13.46 -> 12.81% for ours, and its amplitude is 6.5% robust sd against 1.2%. Measured across seven crystals spanning multiplicity 3.7-9.4, two detector types and 75-100% completeness, 24 never clearly hurts and mildly helps six of them; 32 adds nothing beyond it. An earlier in-sample ladder suggested 48x48 was worth twice as much - that was in-sample, and it overstated the gain about threefold. Nothing else needs adjusting: the Tikhonov shrinkage already adapts to thinly-populated cells, and the cross-validation gate already refuses the surface outright where the finer grid is too fine for the data - on the weakest crystal tested its held-out gain falls 4.3% -> 3.1% -> 1.7% and the surface is skipped. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>	2026-08-10 04:18:44 +02:00
leonarski_fandClaude Opus 5	7523c67655	Space-group search: set the operator-H bound from the measured gap ... max_operator_h_ratio was 1.25. Instrumented over the rotation battery, the statistic it bounds reads 0.85-1.57 on GENUINE promotions - and 2.48 on a genuine orthorhombic step in an arm left short of pairs - while the two real merohedral twins read 1.82 and 4.01. There is a wide empty gap between the two populations and 1.25 was not in it: it sat inside the genuine range. Four genuine promotions already exceeded it and survived only because the two-arm rule happened to offer cover from the other arm; a cubic case with no such cover was refused outright, by a margin of 0.4%, and merged in the orthorhombic subgroup with twice the unique reflections. That refusal is invisible to the standard battery, which passes an explicit resolution limit: the limit also constrains the merge the search's internal cutoff is derived from, and lands it just under the crossing. It appears only when the automatic cutoff runs. Set the bound to 1.70, in the gap. On the automatic-cutoff arm the cubic case returns to its true group (unique reflections 49277 -> 23330, CC1/2 in the outermost shell 25.7 -> 50.4) and no other crystal changes symmetry. The 38-crystal battery at matched limits is unchanged, space group included. All ten SearchSpaceGroup test cases pass, including the twin decision table and the H-margin case - worth checking explicitly, because a looser bound also confirms the operator agreement more often and so suppresses the systematic-absence veto more often. The header note already predicted this failure mode: the test's known limit is angular coverage, not data quality, and a refusal on a lopsided merge says more about the coverage than the symmetry. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>	2026-08-10 04:18:30 +02:00
leonarski_fandClaude Opus 5	bc1c4c6800	Rotation: land the rest of the bandwidth term ... f4e281b2f described this change in full but committed only one of its six files. What went in was RotationScaleMerge.cpp - the merge widening the partiality it recomputes from the smoothed mosaicity. That is precisely the part which is unsafe on its own, by the original message's own argument: without the mosaicity fit subtracting the term before fitting, the bandwidth is counted twice, and without the predictor widening its acceptance window, the partiality the merge recomputes no longer matches the one integration measured. Add the five files that were left behind: the rotation predictor and its GPU twin widen the acceptance window and the partiality handed to integration, the settings struct carries the term, and CalcMosaicityXDS deconvolves it before fitting so what it returns is the intrinsic mosaicity rather than the mosaicity plus the beam. Monochromatic data is untouched by construction - every hunk is guarded on a non-zero bandwidth, which is read from incident_wavelength_spread or --bandwidth and is absent from every dataset in the rotation battery. Verified on the one dataset that has a bandwidth: at --bandwidth 0, the merge table is identical to the branch tip; with the bandwidth set, the fitted mosaicity drops 0.0718 -> 0.0694 deg as the deconvolution takes effect and CC1/2 in the outermost shell recovers 30.3 -> 31.4%. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>	2026-08-09 22:26:26 +02:00
leonarski_f	0b5fb4fb92	Merge branch 'fix56-work' into integration-variance-fixes	2026-08-09 21:08:39 +02:00
leonarski_fandClaude Opus 5	1239c49731	Bragg integration: separate the three things a bandwidth used to switch ... Setting a bandwidth flipped three unrelated switches at once: it changed the profile's radial capture term, it moved the width measurement from the signal disk to the whole fit grid, and it silently overrode the background clip and trim, so --background-clip under --bandwidth was ignored - the two runs were bit-identical. The width measurement was the damaging one. The fit grid is an azimuthally averaged stack, so its second moment is sigma_r^2 + sigma_t^2 and the radial smear of a bandwidth leaked into the tangential model - a tangential width of 3.04 px against a 1.06 px truth, inflating the effective background pixel count where the weak signal is. The result was a step rather than a slope: on genuinely monochromatic data, declaring a 0.2% bandwidth cost ISa 28.4 -> 22.2. Measure the two widths separately, accumulated in each spot's own radial/tangential frame over the signal disk, from the signed profile cells - away from the peak a learned cell is background noise centred on zero, so the signed sum is unbiased, while clamping it at zero turns that noise into a pedestal the r^2 weight reads as width. The radial term is then the measured excess or the analytic floor, whichever is larger. With the two widths separated there is nothing left for the broadband switch to select, so it is gone - which is the proof the three were independent. The background clip and trim now come from the settings in every case; the tuned 3-sigma broadband default moves to the rugnux front end, which is the only place that knows whether the user gave a value. Monochromatic data: declaring a 0.2% bandwidth now costs ISa 28.4 -> 27.9 rather than 22.2, and forcing the old 3-sigma clip in the new build reproduces the good result, so none of the step came from the clip. On large-bandwidth data CC1/2 improves in 8 of 10 shells. Across 12 monochromatic crystals the space groups are unchanged and CC1/2 moves by at most 0.2 points. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>	2026-08-09 21:08:29 +02:00
leonarski_fandClaude Opus 5	3d3fb0e58b	Bragg integration: stop rectifying the fitted intensity into its own variance ... The profile fit weights each pixel by 1/v with v = max(bkg, floor) + max(0, I)*P, where I is the fit's own current estimate. Rectifying it means that at true zero the plug-in is E[max(0,I)] = 0.4*sigma rather than 0, and with sum(P^3)/sum(P^2)^2 = 4/3 for a Gaussian the reported sigma comes out about 0.2 counts too large - always, additively. That is nothing at sigma ~ 7 counts and 11% at sigma ~ 2, so it only shows on data measured against roughly one background count. Clamp the whole weight instead of the intensity: v = max(bkg + I*P, bkg/2). Simulation of the real integrator gives claimed/true sigma 0.92-1.01 at zero intensity across backgrounds 0.02-2.0 ct/px and 1.000-1.007 above I = 30, where the clamp never binds. Dropping the signal term entirely instead (v = max(bkg, floor)) is exact at zero and wrong everywhere else - 1.91 at I = 5, 4.29 at I = 30, 13.3 at I = 300 - and a test built on systematically absent reflections cannot see that, because it only measures zero. Removing the clamp altogether overshoots and biases the intensity, since a downward fluctuation shrinks v at the peak and over-weights it. The pixel variance floor was 1/12, documented as the rounding of a continuous energy. That does not describe a photon counter: measured on raw frames at 0.065-0.082 ct/px, var/mean is 1.042-1.045, i.e. Poisson with no digitisation term, and a digitisation term would be additive rather than a floor. What the floor really protects is the background estimate, which a small ring can read as exactly zero, so it belongs at the resolution of that estimate, ~1/n_bkg. At 1/12 it multiplied the reported variance by floor/bkg below 0.083 ct/px - a factor of two at 0.04. Set to 0.01. Measured on systematically absent reflections, whose true intensity is zero, as std(I)/rms(sigma) binned by background - not std(I/sigma), which is deflated by the correlation between the plug-in sigma and the reflection's own fluctuation. On 2.78 M absent observations at 0.16-3 ct/px the ratio goes 1.04-1.07 to 0.99-1.00. On 2.58 M at 0.005-0.6 ct/px, decomposed: the clamp carries it above 0.08 ct/px, the floor below it. Intensities move 0.4%; this changes sigma, not I. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>	2026-08-09 21:08:29 +02:00
leonarski_f	1283e04ada	Merge branch 'fix23-work' into integration-variance-fixes	2026-08-09 20:58:41 +02:00
leonarski_fandClaude Opus 5	97dbbc50b4	Merging: fit the error model on the reflections the cutoff keeps ... The (a, b) fit ran over the whole merged range and the automatic resolution cutoff was applied afterwards, so the sigma correction applied to the reflections that survive was calibrated largely on reflections that do not. Measured on one dataset: a = 0.286 fitted over 843k reflections, 22k written. A manual --scaling-high-resolution already restricts the population at ingest, so only the automatic path was affected. Fit over the full range, merge, read the cutoff from that merge, refit (a, b) on the samples the cutoff keeps, merge again. The circularity resolves by direction: the cutoff comes from CC1/2, a correlation of the two half-set means, which the sigma scale barely moves, so the cutoff can be read first and the sigmas calibrated on the population it chose. One refinement, not an iteration; one extra merge pass. Note this is invisible to the rotation battery, which passes an explicit high resolution limit matched to XDS and so never exercises the automatic cutoff. With a manual limit the fitted (a, b) are byte-identical to before. The equivalent defect in the stills / offline --scale path is untouched; it is a different engine and needs its own validation. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>	2026-08-09 20:58:35 +02:00
leonarski_fandClaude Opus 5	72efb75a8c	Merging: do not floor the merged sigma at the systematic term ... The merged sigma was floored at b*|I|, so I/sigma could never exceed the reported ISa. On one dataset every merged reflection came out at I/sigma <= 12.96 with a 99th percentile of 12.77 in every resolution shell alike, while the scatter of the observations implied about 44 and XDS reported 58. The floor is wrong in principle. `b` is fitted from the scatter BETWEEN a reflection's symmetry equivalents, i.e. from the part that is not common to them, so it averages down with multiplicity exactly like the counting term. 1/sqrt(sum_w) with the b-inflated per-observation sigma already gives b*I/sqrt(n); flooring at b*|I| puts the sqrt(n) back. That is the whole effect: 12.96 * sqrt(21.6) = 60, against XDS's 58. It was introduced on a comparison of our MERGED I/sigma against XDS's UNMERGED I/sigma. XDS's own merged low-resolution I/sigma exceeds its reported ISa on 30 of the 39 reference datasets here, median ratio 1.78 and up to 4.23. Merged low-shell I/sigma now lands where XDS's does: 22.4 -> 46.2 against 46.2 on one crystal, 26.7 -> 115.7 against 96.6 on another, 12.5 -> 45.0 against 58.0 on a third. Over the 38-crystal battery the space groups, the merged reflection sets, R_meas and CC1/2 are all unchanged - every one of them is sigma-independent, which is what makes them the right control - and <I/sigma> rises on 35 crystals with none worse. The asymptotic estimator that fed the floor stays, for the reported ISa only, and is repaired in the process: it subtracts a*sigma^2 rather than the raw sigma^2 (at a < 1 the difference is the same size as the b^2 being measured, which is what made it flip between 10.9 and 62.7 on consecutive passes of the same data), it rescales each group's variance median-unbiased before subtracting an unbiased counting term, its I/sigma gate uses the same convention, and it is bounded by the whole-range b - an asymptote exists to refine 1/b upward, not to report 0.3 because "strong" was selected on a sigma scale the fit itself rejects. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>	2026-08-09 20:58:35 +02:00
leonarski_fandClaude Opus 5	f4e281b2f5	Rotation: give prediction and partiality the energy bandwidth ... The rotation predictor and RotationPartiality used the mosaicity alone. Energy bandwidth broadens a reflection's rocking curve as (dlambda/lambda)*tan(theta_B), resolution-dependent and negligible at low angle, so on a large-bandwidth beam the modelled reflecting range was too narrow exactly where the crystal still diffracts: 0.064 deg of broadening against a fitted 0.083, i.e. 26% at the detector edge. The stills predictor has carried the term since it was written; only rotation was missing it. Add it in the three places that have to agree. The predictor widens both its acceptance window and the partiality it hands to integration; the merge widens the partiality it recomputes from the smoothed mosaicity; and the per-image mosaicity fit subtracts the same term before fitting, so what it returns is the intrinsic mosaicity rather than the mosaicity plus the beam. Without that last part the bandwidth would be counted twice. The term goes in without the 1/zeta of the usual expression: the erf already divides by zeta, so adding a per-reflection width that itself carries 1/zeta would divide by it twice - up to 20x at the minimum zeta. dphi = delta*tan(theta_B), and the zeta stays where it was. The rotation identity dtheta/dphi = zeta was checked against a numerical solve of the diffraction condition at four resolutions and three orientations. Monochromatic data is untouched by construction - the term is guarded on a non-zero bandwidth and is an assignment, not arithmetic, when there is none. Verified: 246456 reflections byte-identical through the predictor, 4.7 million rocking-fraction evaluations with no bitwise difference, and identical merge tables end to end. The bandwidth is read from the file (incident_wavelength_spread) or from --bandwidth, and is absent from every dataset in the rotation battery. On the bandwidth dataset the fitted mosaicity becomes resolution-independent (0.0745 -> 0.0719 deg), the prediction window widens, frames per rocking event go 4.6 -> 5.3, per-image correlation to the merge rises 0.710 -> 0.725, and R_meas improves 0.1-0.7 pp in every shell while CC1/2 falls 0.6-0.9 pp in the outer two. Merged quality is net neutral: the combine normalises by sum(partiality), so a uniform widening largely cancels. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>	2026-08-09 20:16:39 +02:00
leonarski_fandClaude Opus 5	e352227a2d	Scaling: divide out the incident flux before fitting the per-frame scale ... The beam is not constant. On one beamline it oscillates +-9.8% with a ~5.9-frame period, confirmed four ways: the raw images, our own azimuthal-integration total, the per-frame mean background, and XDS's per-image SCALE, which correlates +0.999 with the first three. XDS removes it inside INTEGRATE, per image. The fitted per-frame G could not: --smooth-g defaults to 5 degrees, which is 25 frames at 0.2 deg/frame, so a 5.9-frame signal is smoothed away. Measured, the applied scale carried 0.70% rms against a 9.8% modulation and correlated 0.66 with XDS's SCALE. The only thing removing the oscillation was the refit on fulls, which acts after several partials spanning most of a period have already been summed, so it removes the mean and leaves the dispersion inside each event. Take the flux from the per-frame mean background, gauge it to the run median, and divide it out of rlp as the partials are ingested, so the fitted G sees only the residual and smooth-G smooths only the residual. The background mean tracks our own azimuthal background at r = +0.971 and XDS's SCALE at |r| = 0.93, with 95% of its detrended power in the 3-8 frame band. Slower background movers - ice, a drifting shadow, absorption against the goniometer angle, radiation damage - are still absorbed by G, which keeps its low frequencies through the smoothing. The applied scale now carries 9.41% rms at |r| = 0.93 against XDS. On the affected dataset R_meas 9.9 -> 9.5%, low-resolution R_meas 6.5 -> 6.0%, ISa 12.8 -> 13.8, and the anomalous peak height rises 0.423 +- 0.069 sigma over 18 sites (p < 0.001) - the only significant move in the arbiter. Over the 38-crystal battery the space groups and the merged reflection sets are unchanged and every metric has median delta zero. A monochromatic dataset carries the same modulation at 2.0% rms, confirmed by the same three proxies; the correction engages there too but no merged statistic moves at that amplitude. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>	2026-08-09 20:01:03 +02:00
leonarski_fandClaude Opus 5	f60768d49c	Bragg integration: drop the 2% sigma floor and carry the background variance ... Two changes to the same variance chain; they are in one commit because the second exists to remove an assumption the first was breaking, and separating them leaves a tree that is correct only by luck. The reported sigma was floored at 2% of the intensity, a per-partial I/sigma cap of 50. It applied only to the box-sum seed, never to the profile fit, so the shipped default was unaffected - but the combine back-derives each partial's non-signal variance as sigma^2 - I, and a floored sigma makes that quantity mean nothing. It then read corr^2 * (0.0004 I^2 - I), which is not a background variance. Measured on --integrator boxsum: the reported sigma understated the true scatter by up to 16x at I ~ 21000 counts per partial, and pooled_I amplified a 1 ct/px background drift into an 11.5% intensity error on the strongest reflections. What the floor stood in for - that at high intensity the error is systematic rather than counting - is already carried downstream, twice: the fitted b in v = a*sigma^2 + (b*I)^2, measured from the data rather than assumed, and SigmaWithSystematicFloor on the merged sigma. The floor was that idea applied one level too early with a hardcoded b of 0.02. It arrived without a test or a setter and was unreachable from the CLI, the API and the config. The merge now takes the non-signal variance the integrator actually measured instead of inverting sigma^2 = I + N. That identity is exact for a box sum once the floor is gone and was never exact for a profile fit, whose sigma^2 = 1/den + (wsum/den)^2 * bkg_var is formed against a fitted intensity. The value is carried through BraggFitResult, Reflection and Obs, both engines, both merges, and the process-file round trip; files written before this change are read with the term absent, which is what they had. Battery, 37 crystals, paired: space groups unchanged, reflection sets unchanged, median delta zero on R_meas and CC1/2. --integrator boxsum on the reference crystal goes ISa 8.9 -> 20.2 with a 0.947 -> 1.032. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>	2026-08-09 19:10:57 +02:00
leonarski_fandClaude Opus 5	d565b66916	Post-refine: drop the rocking-width diagnostic, report frames per event ... The "median rocking width -> estimated mosaicity" line took an intensity-weighted second moment of the frame-centre angles with max(0, I) weights, per event, then a median over events. For a two-frame event that moment is exactly zero whenever only one frame has I > 0 - probability 2/3 for a reflection carrying no signal - so on a noise-dominated dataset the median lands in the degenerate spike and prints 0.0000. Simulated against a known width it is wrong by 0.23x to 13x, in both directions, and on a pure-noise null it returns a plausible-looking 0.06 deg. est_mosaicity_deg was read nowhere, so nothing downstream was affected; the number only misled whoever read the log. It was built to measure a signal for a mosaicity refinement that was then abandoned, and the estimator that replaced it is the per-image one that already drives prediction. Report instead the frames per rocking event, which is what the block could honestly say: near 2.0 the reflections barely rock, so the observed angle this refinement is fitted to is under-determined. It is a geometry count, so noise cannot inflate it. Also drop phi_rms_deg, which is never assigned anywhere, and Partial::zeta, which is only written. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>	2026-08-09 19:10:18 +02:00
leonarski_fandClaude Opus 5	4d3434e2a5	Beam stop: compare each pixel only against its own ring ... The background belongs to the beam and the shadow to the stop, and the two are not concentric - fitting the stop edge per azimuth gives offsets of 13.4 px on an 85.8 px disk, 22.2 px on 67.3 px and 6.9 px on 23.7 px, 8 to 33 per cent of the stop radius on every crystal measured. The finder bridged that gap with a radial envelope, the largest ring background over an outward window, used as the reference for an individual pixel. That quantity exceeds the local background wherever the background rises outward, so sound pixels near the stop scored below the penumbra threshold and were masked. Measured against the fitted edge on a long-distance disk stop, the mask was displaced rather than mis-sized: short by up to 20 px on one side, over-reaching by up to 45 px on the other, with eight of twenty-four azimuth sectors falling short. The ring median is already the right reference wherever a ring still has unshadowed pixels to measure, which is every ring except those lying wholly inside the disk - and it needs no assumption about where the stop sits. So the envelope is gone from the per-pixel test, and the rings it existed to cover are handled directly: walking outward, a ring whose background is a fraction of the background further out is shadow in its entirety. That comparison is only ever asked whether a whole ring is inside the stop, never to judge a pixel, which is where its failure mode lives. Blockage is deliberately not a counting test - on a bright dataset the shadow interior is still well counted. Detection is now one channel instead of two, and 113 lines shorter. Measured: no azimuth sector falls short by more than 3.4 px, over-reach drops on all three fitted crystals, and mask area moves by at most 0.04 per cent of the detector on six crystals, so this corrects the shape rather than resizing. Battery: space-group agreement with XDS unchanged at 34/37, median change in R_meas and in the lowest shell 0.000 pp. The crystal that suffered worst when masking was introduced recovers to its unmasked quality - R_meas 25.1 -> 17.2 per cent, ISa 4.45 -> 10.04 - which is what removing the over-masking should do. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>	2026-08-09 05:31:57 +02:00
leonarski_fandClaude Opus 5	a29c36600f	Beam-stop shadow detection, and a low-resolution limit for scaling ... rugnux finds the beam stop and its holder in a projection of 60 images and marks them in the pixel mask as bit 9 (--detect-beam-stop[=N|off], on by default). Reflections behind the stop are attenuated but not flagged, so they integrate low with a plausible sigma and nothing downstream catches them: the signal-box gate requires 100% valid pixels and shadow pixels are valid, the background clip is high-side only, and the |zeta| cut applies only to the space-group search merge. The detection compares each pixel's background against the typical background at the same radius on two channels. An azimuthal one (the ring median) finds the holder arm, which is a minority of its ring; a radial one (the background just outside) finds the disk, which the ring median cannot see because inside a fully blocked ring the median is the shadow itself. Pixels are pooled over a 5x5 box and tested only where the background has actually been counted, so low-background data no longer masks the whole detector. Recorded reflections are carved back out - a beam stop cannot block a reflection that was measured. Bit 9 belongs to the run that found it, not to the dataset: it is cleared when a run starts, so a mask read back from a file that carries one starts clear. The user mask (bit 8) is left alone. Scaling and merging gain a low-resolution limit, default 50 A (--scaling-low-resolution <num>, 0 removes it), applied per observation before scaling so it also protects the per-frame scale fit and the space-group search. 50 A is the value XDS configurations use; rugnux_vs_xds.py now matches both of XDS's resolution limits instead of only the high one, so the lowest shell is the same shell in the two programs. The viewer draws the detected shadow in coral with a "Show beam stop" switch in the side panel, exposes the low-resolution limit in the settings dock, and offers detection in its processing jobs. Adding an image marker meant giving the reader a MIN_REAL_PXL_VALUE, because several places classify a pixel by range rather than by equality and would otherwise read the new marker as a very negative intensity. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>	2026-08-09 01:05:31 +02:00
leonarski_fandClaude Opus 5	c673521b76	Space-group search: do not veto on systematic-b where the H test confirms ... The systematic-b veto compares a candidate merge's fitted b against its parent's, and both move with data quality. Removing genuinely bad observations improved both merges but the subgroup more than the supergroup (parent 0.1644 -> 0.1480, candidate 0.3187 -> 0.3056), so the ratio crossed its 2.00 bound at 2.065 and a correct cubic promotion was refused - while the H statistic, which has no sigma in it, did not move at all (0.898 either way). Better data demoting a crystal is the wrong behaviour. The veto now fires only where the H test has not confirmed the promotion. H is the statistic that was measured to separate a real symmetry operator from a twin law; b's genuine and twin ranges are interleaved. A twin fails both. No bound moved and no option was added. Battery: 34/37 point-group agreement with XDS before and after with no crystal changing; with the beam-stop mask 33/37 -> 34/37, the single change being a cubic crystal recovering its true I23. Both real merohedral twins stay refused on H in every arm. Gating the guards on the L-test / second moment was tried and rejected: those indicators do not flag a real twin on the P1 pre-promotion merge, only after merging in its true symmetry, so the gate promoted a twin into its holohedry. Left alone deliberately: merge_systematic_b divides its reduced chi^2 by the observation count rather than by the degrees of freedom, which inflates the ratio more for small-orbit parents. Fixing it requires re-deriving all three b bounds, which were calibrated on the biased statistic. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>	2026-08-09 01:05:14 +02:00
leonarski_fandClaude Opus 5	df9a9c2a2c	Fix the defects found reviewing the branch before merge ... Image buffer: the per-image CBOR metadata headroom had been re-derived from the online reflection cap alone, which cut it from 4 MiB to 2.55 MB while the measured worst case - reflections plus the capped spot list plus the three azimuthal arrays - is 2.9 MB, so the receiver dropped the frames with the most to say. Restore it and give it a name that both the code and its guard test read: written down twice, the two had drifted and the test kept passing against the value the code had left. Spot finding: an unset low_resolution_limit means no limit at that end, as an unset high_resolution_limit already did. An optional rather than a zero sentinel, because zero is not a natural "no limit" here - every pixel lies above it, so the plain comparison masked the whole image instead of none of it, and nothing validated the zero. The API field is no longer required; a zero is folded into the unset case at the boundary, where older clients still send it, so one spelling reaches the analysis code. The FPGA takes its fixed-point ceiling instead, since ap_ufixed<16,9> wraps above 512 A and would have masked everything. image_preprocessing: check the CUDA calls on the fused decode path - the one new GPU file with none, and the path fed by bytes we did not produce. An unchecked synchronise returned the host-written sentinel as if it were a measurement, so the decode looked successful and the fallback to the host decoder never fired. rugnux: --stride no longer writes one past the end of the per-image arrays, whose count floored where the worker loop ceils, and the written process file links the images actually processed rather than the first N - each frame's picture now sits next to its own analysis. Powder calibration: the face-centred calibrants no longer list their systematically absent rings, so the distance fit starts from a reflection that exists rather than an extinct one; the triclinic calibrant covers both signs of h and k instead of a single octant, which is only valid for a diagonal metric. The test asserted the old behaviour - one ring formula for every cubic standard - and is rewritten. CBOR: skip an unknown tagged value in the end block, as the other four blocks already do. One advance lands on the tagged item rather than past it, so an older reader fed a newer end message threw and never finalized its file. Viewer: a settings value the setter rejects no longer escapes as an uncaught throw from a worker slot, and the field offers only what the setter accepts. Space-group search: judge stage B on the same "present" cut stage A already computes. Merged sigma is floored so no reflection reads above ISa, so on a low-ISa merge the fixed cut left both stage B tests unsatisfiable - every screw axis passed unchallenged and the centering rescue switched itself off on exactly the weak data it exists for. Where the fixed cut is the smaller of the two they are equal and this is inert: over the 37-crystal rotation battery every crystal reports the identical space group and identical merge statistics, so it is a no-op there and the low-ISa case it targets remains unmeasured. rugnux: --polarization reaches --mode azint, which parsed the flag and then dropped it; that mode also applies the same polarization default as every other mode. Acknowledge the ACTS/traccc project, whose sparse connected-component labelling both spot extractors take their algorithm from, with its citation and its license. The rc.161 change list is brought back to one line per entry, and the user-visible changes that were missing from it added. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>	2026-08-08 18:18:46 +02:00
leonarski_fandClaude Opus 5	3ccb97e31b	Adaptive spot finder: pin the per-ring host buffers ... The GPU engine copies six small per-ring arrays back to the host every frame - the clipped raw sum/sum2/count that the threshold is computed from, and the plain corrected sum/sum2/count that become the azimuthal profile. They were plain std::vectors, so the copies landed in pageable memory, and a device-to-host copy into pageable memory blocks the calling thread until it has completed whatever stream it was issued on. The profile snapshot sits between the plain pass and the two sigma-clip passes, so Detect() stopped there and the device then sat idle while the host caught up and enqueued the rest. Register them, as AzIntEngineGPU already does with its own, and the copies are genuinely asynchronous. Measured on a 4.5 Mpixel frame: 0.647 -> 0.621 ms per frame. Nothing else changes - the spot list and the profile are unaffected. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>	2026-08-08 15:33:24 +02:00
leonarski_fandClaude Opus 5	5830f78d57	Revert the azimuthal-integration sigma clip ... Removes azim_int_settings.sigma_clip / rugnux --azim-sigma-clip and the clipping machinery in AzIntEngine. This is a partial revert of a6be35ccd - the ice-ring-mask removal that commit also carried stays. Sigma clipping remains where it started and where it is needed: inside the adaptive spot finder, at a fixed 3 sigma on raw counts, feeding the detection threshold and the ice score. The option made the workflow harder to reason about than the quantity was worth. It gave azimuthal integration two meanings behind one setting - the bin mean and the background under the peaks - which the azimuthal-integration workflows do not need. It also did not compose with the fused GPU engine, which supplies the profile from its PLAIN pass: on the default rugnux, viewer and receiver path the setting was silently doing nothing (measured, the profile came out identical to the unclipped run to 1e-6 with identical per-bin pixel counts). Making it correct is not a matter of gating that one shortcut - it means separating the workflows (azimuthal integration, MX rotation, MX stills, geometry calibration) and deciding per workflow what the profile is for, which is a larger change than the option earns. The default path is unaffected: over 20 images of a rotation dataset the radial profile, the per-bin pixel counts and the spot counts are unchanged. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>	2026-08-08 15:31:19 +02:00
leonarski_fandClaude Opus 5	6468dd13be	rugnux: --mode, and detector calibration from powder rings ... --azint-only and --scale are replaced by --mode mx|azint|scale|calibration, with mx the default. The old flags are removed rather than aliased. Calibration mode fits the detector geometry - PONI x/y, the two tilts and the distance - to a calibrant's powder rings and writes a pyFAI .poni alongside a report of how far each parameter moved from the header. Bragg data constrain the beam centre worst, because it is gauge-coupled to the crystal orientation; a powder ring has no orientation to couple to. --calibrant takes lab6, agbh, ceo2, si or ice. A calibrant is a list of ring positions rather than a unit cell, because hexagonal ice is P6_3/mmc: rings enumerated from its cell would include systematically absent ones. So the crystalline standards generate their rings from a cell and ice carries the measured list, and RingsFromAzimuthalProfile, GuessGeometry and OptimizeGeometry all take ring q. The calibrant table is shared with the viewer's powder panel, which previously carried its own copy. --calibration picks how the rings are measured: rings (default) sums the (q x azimuth) profile over every processed image and fits the arcs in it; spots pools the found spots and fits those. Both use the whole run, with -s/-e/-t selecting images. rings defaults --azim-phi-bins to 32, since a profile with one azimuthal bin has averaged the ring over every direction and cannot locate it. Two fixes this exposed: The extraction window is capped at half the gap to the neighbouring ring. The background under a peak is taken from the ends of its window, so a window wider than half that gap measures the next ring's flank as this ring's background - and hexagonal ice has three rings within 0.06 1/A. Ice calibration was 3.5 px out before this and 0.29 px after; LaB6 is unaffected. RingOptimizer holds rot1/rot2 fixed when only one ring is present. A tilt and a centre offset both move a ring as cos(phi) and are separated only by the tilt's amplitude growing as the ring radius squared, so on a single ring they are exactly degenerate. Measured. LaB6 at five distances: the fitted direct beam is within 0.36 px of an independent implementation out to 300 mm, and D = -0.046 + 1.000788 dtz with an rms of 0.011 mm. At 500 mm one ring is fully on the detector and a second only clips the corners, which is not enough to constrain a tilt - restricting the q range to the resolved ring recovers 0.06 px. Ice: 5.53 -> 0.29 px on one crystal and 4.71 -> 0.80 px on another, against XDS's refined direct beam. On an ice-free crystal the fit is worse than the header, which is the correct outcome. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>	2026-08-07 10:00:03 +02:00
leonarski_fandClaude Opus 5	a6be35ccdb	Azimuthal integration: optional sigma clipping of the reported profile ... The profile is the MEAN of each bin, so a few strong reflections landing in a bin lift it exactly as a smooth powder ring does. That is the wrong quantity whenever the profile is wanted as a background rather than as a measurement of what is in the bin - the ice score being the case in point, where reading a plain profile INVERTED the metric: over 37 rotation crystals the two highest-scoring crystals had no ice at all. The adaptive spot finder already computes the right thing, a sigma-clipped per-resolution-ring background, as a byproduct of its own threshold. Where it runs, the ice score uses that. Where it does not - --no-adaptive-spots, --azint-only, and anything reading the profile the broker wrote - there was no way to get it. This adds one: azim_int_settings.sigma_clip (rugnux --azim-sigma-clip), 0 = off, minimum 2 because a tighter clip rejects a large part of a clean Gaussian bin and biases the estimate low rather than removing outliers. Two clip passes follow the plain one, matching the finder's recipe - the first pass's standard deviation is itself inflated by the peaks being removed, so one pass leaves a threshold that is still too generous. A bin with fewer than eight pixels is left alone: at the detector edge and behind the beam stop there is no spread to clip on. Both engines do it. On the GPU the accept range is computed by a small kernel and stays resident, so a clip pass is one more read of the same pixels and no round trip; the two accumulation kernels take the range as a pointer that is null on the plain pass. Measured on a JUNGFRAU rotation dataset, non-adaptive path: azimuthal integration 0.02 -> 0.06 ms per image, exactly the 3x the extra passes predict, against a 0.34 ms per-image total. Note what the result IS: the smooth background under the peaks, not the bin mean. It should not be switched on where a ring's integrated intensity is wanted - the powder-ring geometry fit reads ring peaks, and those are what a clip is designed to remove. Off by default, so nothing changes unless it is asked for. Not exposed over the REST API - that needs the generated model regenerated, which is a separate step. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>	2026-08-07 00:18:52 +02:00
leonarski_fandClaude Opus 5	2c51e00aae	Rotation indexing: do not keep a metric symmetry that indexes almost nothing ... The Bravais class is decided from the UNREFINED FFT candidate against a fixed 3 degree angular tolerance (LatticeSearch). A lattice that is pseudo-symmetric to a few tenths of a degree is therefore promoted a class too far, and the constraint then snaps a real angle to the ideal one - which throws nearly every reflection of every frame out of tolerance. Measured on a monoclinic crystal that is pseudo-C-orthorhombic to 0.42 degrees: the promoted cell indexes 2 of 60 validation frames and the run dies, where its own primitive cell indexes 39. It is the same lattice in a different setting, b_oC = -(a + 2c), volume exactly 2.00x. The perverse part is that BETTER SPOTS MAKE IT WORSE. LatticeSearch applied to the true cell returns the promoted class deterministically; runs that succeed escape only because the raw FFT candidate is inaccurate enough to miss the promotion window. So it is bistable and non-monotone in every knob - 190 spots per image gives 44/60, 195 gives 12/60, 200 gives 2/60 - and it will bite harder as spot finding improves. The indexer already refines a free triclinic cell alongside each constrained candidate, but decides between them on the fraction of the accumulated first-pass cloud that indexes, where the two differ by less than a factor 2 (measured 0.243 vs 0.135, missing both of that guard's bars). The caller has a far sharper statistic: it already counts how many of 60 validation frames a candidate indexes, and there the same pair differs by more than 20x. So keep the triclinic cell instead of dropping it, and let the first pass settle it. The bar is a clear majority, not a margin, and that is the part that took a battery to get right: the unconstrained refinement holds NO cell parameter fixed, so it can only index at least as many frames as the constrained one, and on genuine symmetry it does index a few more. A 10 % margin - the bar a later scheme needs to displace an earlier one - demoted a real I-centred orthorhombic crystal to P1 (47 -> 54 frames) and perturbed an F-cubic one (49 -> 58). Only a constrained cell that fails outright while its unconstrained cell works is evidence of a false promotion, so demand exactly that. It is the same "fails to index half the frames" test the long-axis rescue below already uses. Battery over 37 rotation crystals: 33/37 space groups matching XDS with one hard failure becomes 34/37 with none, and the other 36 crystals are identical in every printed statistic (checked against a repeat run of the previous binary, which itself differs on one crystal by one observation). The extra validation pass runs only where the constrained cell already failed - 71 ms in a 15 s run - and not at all on the 34 crystals whose constrained cell indexes a majority. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>	2026-08-06 22:11:11 +02:00
leonarski_fandClaude Opus 5	e2de790867	Powder calibration: cover the tilt round trip, and correct how a tilt shows itself ... A detector tilt does NOT appear as a cos(2 phi) modulation of the ring radius, as the previous comment claimed. To first order a misalignment beta gives r(phi) = R + (R^2 / F) (beta_x cos phi + beta_y sin phi) which is a cos(phi) term - the same harmonic a wrong beam centre produces. What separates them is the radius dependence: the centre's amplitude is the same on every ring, the tilt's grows as R^2. So they are told apart across rings, not within one, and on a single ring they are exactly degenerate. Measured on a powder standard the true cos(2 phi) term is of order R^3 beta^2 / F^2 - hundredths of a pixel, at the noise floor - so it carries nothing usable. Also add the tilted round trip, which was missing. It doubles as a check that RingOptimizer's open-coded rotation agrees with DiffractionGeometry's: the fitter applies Rx(-rot2) Ry(+rot1) by hand rather than going through the geometry's Rz(-rot3) Rx(-rot2) Ry(+rot1), and those had never been held against each other. They agree - 0.020 / -0.015 rad recovered as 0.0197 / -0.0148. Dropping rot3 is right rather than an omission, since rings cannot constrain in-plane roll. The tilted case yields fewer ring points than the centred one, which is expected and worth knowing: the extractor searches a window centred on where each ring is EXPECTED, so a large enough geometry error carries part of a ring out of it. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>	2026-08-06 21:32:30 +02:00
leonarski_fandClaude Opus 5	5b5bed4f66	Powder calibration: read the rings off an azimuthal profile, not off a spot list ... The ring calibration already here (AssignSpotsToRings + RingOptimizer, driven from the viewer's powder panel) is given a SPOT LIST from a single image. A powder ring is not a set of spots - it is a smooth arc - so a spot finder samples it wherever its threshold happens to bite, and one image carries only the counts that image collected. An azimuthally-binned profile summed over a run measures the same ring directly, at every azimuth, with the whole run behind it. RingsFromAzimuthalProfile turns such a profile into the (x, y, q_expected) triples RingOptimizer already consumes, so nothing downstream changes: for each calibrant ring and each azimuthal sector it fits the radial peak against a locally interpolated background, and maps the measured (q, phi) back through the current geometry to the pixel it came from. What this is for is the BEAM CENTRE. A powder ring is a conic centred on the beam, so a wrong centre makes its apparent radius oscillate once per turn and a detector tilt twice - and neither depends on the calibrant's d-spacings or on the detector distance. That matters, because the beam centre is otherwise the weakest parameter we have: fitted from Bragg spots it is gauge-coupled to the crystal orientation, which is why PostRefine has to restrain it toward the header and commit only a sub-1 % move, and why XtalOptimizer carries a soft prior noting the beam is "only LaB6-monitored to ~a few px". A ring does not know about the crystal. Two things the peak fit is careful about, both of which would otherwise show up as a spurious cos(phi) - i.e. as a beam-centre shift: - the sector's CENTRE is used, not its lower edge. GetBin() floors phi into the sector, so a bin stands for [j, j+1), and taking its edge rotates every ring point by half a sector. - a peak has to stand clear of the scatter of the background either side of it, or a sector with no ring in it contributes its largest noise excursion as though it were a measurement. Refuses a single-azimuthal-bin profile outright: that is a plain radial profile, the ring has been averaged over every direction, and there is nothing left to say where its centre is. Tested by round trip against the forward model, as the existing calibration tests are: synthesise the profile the azimuthal integration would build with the rings where a shifted geometry puts them but every pixel binned with the unshifted one, then extract and fit. A 6.0 / -4.0 px beam offset is recovered as 6.13 / -4.03 from 192 ring points. Only the beam centre is exercised here; the tilt path is covered by the existing DetGeomCalibTest round trips. This is the extraction only - nothing calls it yet, and the run-scoped accumulator it is meant to read (JFJochReceiverPlots::az_int_profile, already summed over a run and written to /entry/azint/dataset) is still integrated with one azimuthal bin by default. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>	2026-08-06 21:30:24 +02:00
leonarski_fandClaude Opus 5	b71e8c6a56	Bragg integration: use the project's PI, not M_PI, in the radial kernel ... M_PI is not standard C++. MSVC defines it only when _USE_MATH_DEFINES is set before <cmath>, so the radial background kernel's azimuth loop does not compile there: error C2065: 'M_PI': undeclared identifier error C2737: 'phi': const object must be initialized (cascade from the first) GCC and Clang define it anyway, which is why the Linux build stayed green. image_analysis is viewer-reachable, so it has to build under MSVC. common/JFJochMath.h already carries a constexpr PI for exactly this reason - its comment names this case - so use that. Same value to the last digit, so the integration results are unchanged; the CPU/GPU parity test passes unaltered (9002 assertions). This was the only M_PI left in the viewer-reachable tree. The remaining uses are in tests/, which Windows does not build (JFJOCH_VIEWER_ONLY is forced there). Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>	2026-08-06 20:52:33 +02:00
leonarski_fandClaude Opus 5	b5f5879a1d	rugnux: measure the ice in the first pass, and always find its own spots ... Ice handling was gated on a measurement the run only made AFTER the images had been processed, so the per-image pass could not use it. The flagging therefore ran unconditionally: ice-band spots were ordered last in the --max-spots budget and held out of the indexer seed and the geometry refinement on every crystal, iced or not. The eleven bands are fixed geometry holding 16-26 % of the unique reflections whether or not there is ice, so on a clean crystal that discards a fifth of the spots - the strongest first - for nothing. Measured on a crystal whose gate never fires, that moved the merged data by a mean of 0.85 sigma against a run-to-run floor of 9.3e-5. Measure it in the first pass instead. That pass already looks at ~100 images spread over the sweep, and it already stops at the spot finder, so it sees the azimuthal profile for the smooth channel and the unfiltered connected components for the spot channel. Both counts SpotAnalyze takes are pre-filter, so pooling them there is the run's own verdict, reached before anything has been discarded and in time for the pass that acts on it. Where the sample sees no ice, the run indexes on the ice-band spots too. It has to be the whole sample: the spot channel is a ratio pooled over images, because one frame carries a handful of control spots. A per-image gate is not an alternative - two of the crystals whose indexing this rescues fire on that channel alone, at profile scores of 1.12 and 1.22, so gating per image on the profile score would drop exactly the cases that matter. This also removes the first-pass spot reuse, and with it --redo-rotation-spots and the reuse path. Finding the ~100 first-pass spots costs little, and reusing was actively wrong here: the stored spots were found online at the acquisition's threshold and have already had their ice-band entries ordered last and dropped by its spot budget, so counting ice from them under-reads it by construction, and the lattice search never saw the spot-finding settings at all. It also removes the need for the machinery that re-found spots whenever a spot-finding option was named, which made those options impossible to A/B. IndexAndRefine cached index_ice_rings at construction, which happens before the first pass; it holds a reference to the experiment, so it now reads the setting where it uses it. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>	2026-08-06 20:48:22 +02:00
leonarski_fandClaude Opus 5	f0cdb027e1	Ice: default the merge mask off, gate the radial background on smooth ice, and pick detection by geometry ... Three defaults, each settled by measurement rather than by argument. The arbiter throughout is structure-referenced - anomalous peak height where a crystal can carry it, and otherwise the agreement of the ice bands with a fixed external model against resolution-matched DECOY bands carrying no ice. The band-versus-decoy contrast is used because R-free here tracks completeness, and every one of these switches moves completeness. The damage is real and it localizes: over the rotation battery the ice bands' excess amplitude reaches +9.6% on a smooth-ice crystal and +35% on the worst, while a clean control sits at +0.6% (z +0.45). On the worst crystal, nine of the ten largest excess peaks in a q scan land on hexagonal ring positions. Turning ice handling off leaves the contrast unchanged and forcing it on a clean crystal does not create one, so it is the ice and not the machinery. MERGE-TIME RING MASK -> OFF. It deletes reflections, which no other program does by default - AIMLESS, DIALS, xia2, XDS and CrystFEL all keep ice-band reflections in the merge and exclude them only from the model fit; autoPROC is the sole exception. On the one battery crystal where the mask fires and an anomalous arbiter can score it, dropping the band moved the mean peak height at the known sites by -0.001 +- 0.018 sigma, 2% of the site height, while removing 1149 unique reflections whose mean I/sigma was 3.62 against the dataset's own 3.05 - better than average data - and costing 17 completeness points in that shell. It fires on 5 of 37 crystals, changes no space group, and those 5 disagree in sign: it clearly helps the two most heavily iced, is a wash on two and costs a third. So it stays as a switch, worth setting by hand on a badly iced crystal where it shows in the high shell, but it is not a default. RADIAL BACKGROUND -> AUTO, gated per image. The correction models the background as a function of radius alone, and that is exactly when it works. On a crystal with pure smooth powder ice it removes 43% of the bands' excess amplitude, with the improvement 7x larger inside the bands than outside; on a crystal whose ice is discrete crystallite spots - no smooth ring to model - the excess amplitude GREW by half; on clean data it is inert to four decimals. The two ice channels already separate those morphologies, so --background-radial takes on|off|auto and auto applies it to an image when that image's peak-excluded score reaches --ice-min-score. Auto never engages without such a score, because the plain profile carries the Bragg peaks and cannot support an absolute threshold. Per image rather than per run, and that was tested rather than assumed: the gate fires on 100% and 94% of frames on the two crystals that want it, and on 1.5% of frames - 32 blocks, 23 of them single frames - on the textured-ice crystal. A seam statistic against off + f*(on - off) is null on both mixed runs, every merge statistic is bracketed by the pure arms, and the textured crystal's auto arm lands on `off` rather than on `on`'s harm. A run-level gate would need the score before the pass that integrates, i.e. rotation-only plumbing, and buys nothing measurable. The kernel was already built unconditionally, so flipping the flag per image is free - except on the GPU, where the launches were gated on a construction-time n_rad. That is why the buffers are now allocated whenever the correction could run, and Run() decides per image. DETECTION -> the geometry's default when the file is silent: on for rotation, off for stills, with the command line and then the file taking precedence. A rotation sweep sits on the same rings for the whole run, so ice there is a coherent systematic and the presence gate keeps it inert on a clean crystal; a serial stills run has too few spots per image to spend any on flagging. The master file's key is kept as written rather than collapsed to a bool, so "the file said nothing" is distinguishable from "the file said no" - it used to fall silently to off, taking the exclusion from the scale fit with it. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>	2026-08-06 19:06:30 +02:00
leonarski_fandClaude Opus 5	06b8c8ed66	Merge statistics: count the observations the merge kept, not the ones it walked ... Whenever the merge-time ice-ring mask dropped a band, the per-shell observation count and hence the reported multiplicity were wrong. On one crystal the lowest resolution shell read 40780 observations over 1932 unique reflections - 21.1x - where the truth is 27007 and 13.98x, and the overall redundancy read 12.52 against 12.29. Only counts were affected: intensities, sigmas, R_meas, CC1/2, completeness and ISa were right throughout, because a masked group carries merged_I = NaN and never enters those sums. It looked like double counting and was not - it is a MOVE. Two independent faults, both in three lines: total_obs rides on the R_meas re-walk, whose filter deliberately ignores the ring mask (and, on a search pass, the ice flag) so that R_meas is computed on the same reflections either way. RmeasUsable therefore differs from MergeUsable by exactly those two tests, and the observations they admit were being counted against a `unique` that excludes them. On the GPU path that count is binned by the GROUP's resolution, and a group every one of whose observations is masked never has one written - acc[g].d stays NaN. ResolutionShells::GetShell(NaN) then returned shell 0 rather than nothing: NaN fails both bound comparisons, falls through to the arithmetic, and static_cast<int32_t>(NaN) is INT_MIN, which the clamp maps to 0. So the masked ring's observations were re-labelled into the lowest-resolution shell, four shells from the ring they came from. The two paths disagreeing on the same run is what settled it: with the mask on, the GPU statistics gave shell 0 = 752 and the CPU statistics 423, while the merged intensities were identical. Count the merged population instead - acc[g].nh, which the merge already accumulates per group - and guard the CPU increment with usable_merge. The rnusable skip stays: any group present in the merged output has at least one observation passing MergeUsable, and MergeUsable is a subset of RmeasUsable, so it cannot drop a group that contributes to `unique`. With the mask off and for_search false the two predicates are identical, so this is provably inert on every shipped configuration - demonstrated on four configurations, including one where ice handling is active but the mask does not fire: the statistics blocks are unchanged. (The reflection lists differ in the last ulp on 3-12% of lines, but so do two runs of the same binary; that is the known rotation nondeterminism, and the statistics block is what is stable.) The NaN guard also removes a silent contamination nobody was looking for. Four call sites validate a resolution with `d <= 0`, which NaN passes: the Wilson-B fit and per-shell <I/sigma> (CalcISigma), the per-image resolution plot (SpotUtils) and the shell Wilson prior (FrenchWilson) were all binning non-finite d into their lowest-resolution shell. French-Wilson now falls back to the global mean rather than to that shell's, which is the worst prior available. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>	2026-08-06 19:06:00 +02:00
leonarski_fandClaude Opus 5	17eb6ef091	Post-refine: report the goniometer rotation scale it already fits ... A stage that turns further than commanded is invisible in the file, because the stored omega values ARE the commanded ones - both XDS and rugnux then read the discrepancy as the crystal drifting. Measured on one dataset in 37, a ~1.2 % over-rotation costs it unique 9.9k -> 29k and CC1/2 68 -> 98 % when corrected by hand. No new degree of freedom is added, because the one needed is already there and being thrown away: step A's residual rotates by -angle_rad * axis[] with axis an UNNORMALISED 3-vector, so the length it fits IS the factor by which the stage actually turned. GoniometerAxis::Axis then normalises it away (with the `increment *= len` line sitting commented out). This only reports it. Guarded by the same cross-validation that gates the cell move - a fold that merely soaked up noise cannot raise the flag - and by a 0.5 % tolerance, which is where a direct scan of this factor puts 36 of 37 datasets (all at exactly 1.0000). The known fault reads 1.00604 and warns; clean controls read 0.99958 and 0.99954. It UNDER-reads the true magnitude: the fit only sees reflections already indexed at the nominal angle, per-frame orientation refinement has absorbed part of the error, and the axis components are bounded. Treat it as a detector, not a calibration - nothing here corrects the data. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>	2026-08-06 16:17:23 +02:00
leonarski_fandClaude Opus 5	61a7c91b90	Ice: detect it on two channels, and only handle it when it is there ... The per-image ice score was read off the PLAIN azimuthal profile. That profile is a per-ring mean, so a few strong Bragg reflections landing in a ring's q bin lift it exactly as ice would. Measured over 37 rotation crystals, that did not merely add noise - it INVERTED the metric: the two highest-scoring crystals had no ice at all (4.23 and 4.06), while a clean control read 1.57. A decoy null - the identical statistic evaluated at q positions where hexagonal ice cannot be - reaches 1.51 at its 99th percentile and 2.70 at its maximum, so that metric cannot support any absolute threshold whatsoever. The adaptive spot finder already computes the right input for its own threshold: a sigma-clipped per-resolution-ring background, in the same bins. A powder ring is azimuthally smooth and survives the clip; Bragg peaks do not. On the clipped profile the clean population tightens to 1.00-1.22 and the crystals with confirmed ice sit at 2.08-2.37, against a decoy null that never exceeds 1.29. That channel is blind to one thing: ice in large crystallites diffracts as DISCRETE spots and leaves the radial profile flat. So a second channel counts found spots on the rings against the same q width of ice-free flanks beside them. The two barely overlap - the smooth-ice crystals read 2.1-2.4 / ~1.0 and the textured ones ~1.1 / 3.8-17.6, while a clean crystal reads 1.04 on both. Both are then used as a GATE (--ice-min-score 1.5, --ice-min-spot-ratio 2.0, both calibrated on the battery, 0 disables): the eleven fixed hexagonal bands cover 16-26 % of the unique reflections at typical resolutions whether or not the crystal has ice, so flagging, the exclusion from the scale fit and the merge-time CC1/2 ring mask are now all skipped when neither channel sees any. The gate is applied in the full pipeline and in --scale, which reads the stored per-image values back out of the _process.h5. Also fixes the merge-time mask's control: the shoulder now excludes reflections that are themselves on an ice ring. The rings are not evenly spaced - 1.947/1.916/1.882 A sit 0.05-0.06 apart in q - so for those three the [w,3w) shoulder landed squarely on the neighbours and the test compared ice against ice. Measured, that is the only thing this changes: it removes firings on those three rings and leaves every other firing's CC pair identical to three decimals. And the online ice half-width, which was 0.02 in the API against 0.03 offline, so the same data got a narrower band online than the measured ~0.06 ring FWHM justifies. Battery (37 rotation crystals, against the previous behaviour): space groups 34/37 in both and NO crystal's space group changes; 6 crystals gain unique reflections, 1 loses. Best of them gains 7082 unique reflections with R_meas 16.0 -> 14.3, CC1/2 95.9 -> 97.3 and ISa 13.7 -> 19.0; another goes R_meas 54.9 -> 42.9, CC1/2 84.0 -> 90.4, ISa 3.9 -> 5.5; a third reaches CC1/2 99.4 from 95.7 at an unchanged reflection count. The one crystal that loses reflections improves on both R_meas and CC1/2. Not done here: the ScanResult/API/plot-type/frontend/viewer layers for the new spot_count_ice_control (they need the OpenAPI regeneration). Message, CBOR, HDF5 write/read and the receiver plots are. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>	2026-08-06 16:17:23 +02:00
leonarski_fandClaude Opus 5	0e23fd3ab9	Bragg integration: propagate the background-estimate uncertainty, add an opt-in radial background correction ... Two independent pieces in the same code path. The background-estimate variance was never propagated. A reflection's background comes from a finite ring of n_b pixels, so subtracting it adds var(B)/n_b per signal pixel - sqrt(1 + n_d/n_b) = 1.109 with the shipped stencil. Both engines omitted it, which is exactly the 1.11-1.19 gap measured between the off-ring scatter and the reported sigma. Three lines each; it affects every dataset, not only iced ones. The radial correction is new and OFF by default (--background-radial). The signal disk and the background ring are concentric, so for any background LINEAR in position <B>_ann == <B>_disk identically and a plane fit buys nothing; the leading error is the CURVATURE of the radial background, which on a sharp ice ring reaches +26 counts on a single reflection. Since every reflection uses the same stencil, that error is a fixed kernel over radial offset - one short dot product per reflection and no extra pixel reads. Validated on empty apertures before any C++: mean |bias| over 9 bands / 3 crystals 4.33 -> 0.79 counts with the scatter unchanged. Three things it cost a battery each to learn, all now in the code: - the radial curve must be accumulated from CLIPPED annulus pixels, inside the clip pass, or it carries neighbour tails and zingers (so it is inert under --integrator boxsum, which has no clip pass); - the GPU version was a 1.8x slowdown from atomicAdd contention on a small radial array - staged in shared memory per block it now costs nothing measurable; - it is battery-NEUTRAL as a default, because the reflections whose bias it fixes are the ones the ice handling already excludes. Hence off by default. CPU/GPU parity extended with two radial sections: 9002 assertions. Also fixes a latent French-Wilson quadrature collapse: j_max = I + 8 sigma on a fixed 400-point grid degenerates to a single cell once sigma >> 50 <I>, giving F = 0.1 sqrt(sigma) with sigmaF -> 0. Harmless today, but any sigma-inflation scheme detonates it. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>	2026-08-06 15:44:13 +02:00
leonarski_fandClaude Opus 5	52f0e58cae	rugnux: do not smooth un-indexed frames into the per-frame geometry ... SmoothGeometry de-rotates each frame's lattice to a common reference, averages in frame order and rotates back. A frame that never indexed keeps a default-constructed CrystalLattice whose vectors are all ZERO - and zero is finite, so the isfinite guard let it through. Those zero vectors were averaged into their neighbours' smoothed orientation, pulling it toward the origin, and they were scored in the leave-one-out cross-validation that picks the smoothing window. On a crystal where 374 of 900 frames fail to index, the effect on the window choice is not subtle. Measured: before n_scored 900 (only 526 indexed) CV score ~504-542 A^2 window +-12 after n_scored 516-526 CV score 0.160-0.175 window +-2 The score was inflated ~3000x and the choice among windows was noise. It settled on +-12 frames - 9.6 degrees of goniometer rotation - on a crystal whose orientation genuinely drifts by ~8 degrees over the sweep, so every partial's delta_phi was recomputed from an orientation averaged across that drift. Require a real cell. Exactly inert when every frame indexes, and no threshold is touched. The crystal that exposed it goes P1 -> P2_1, observations 60107 -> 77021, completeness 64.1% -> 93.0%, multiplicity 1.10 -> 2.0, CC1/2 70.0% -> 84.9%, R_meas low shell 37.3% -> 22.1%, and its 2-fold operator CC 0.330 -> 0.669, comfortably clear of the 0.5 gate. Battery over 37 crystals: space groups 33/37 -> 34/37, and that crystal is the ONLY flip - no losses. Another crystal is rescued from near-total collapse (4402 -> 139213 observations) because the two-pass "going back to the header geometry" fallback stops firing. Anomalous peak height +0.043 +- 0.022 sigma over 7 crystals, so the background clip's gain is intact. Merged quality is otherwise neutral (CC1/2 6 better/6 worse, R_meas_lo 9/6) with observations up on 18 crystals. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>	2026-08-06 01:21:21 +02:00
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