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Author	SHA1	Message	Date
leonarski_fandClaude Opus 5	11c7cab2e5	Space-group search: take the operator disagreement as a median, not a mean ... A merohedral twin mixes EVERY reflection with its twin mate, so it shifts the whole distribution of |I1-I2|/(I1+I2). A minority of badly measured reflections shifts only the tail. The mean cannot tell those apart; the median is blind to the second and just as sensitive to the first. Measured on real crystals, moving the statistic from the mean to the median leaves genuine promotions where they are and pushes every twin up: genuine tetragonal 1.016 -> 1.013 genuine lysozyme 1.051 -> 1.067 genuine tetragonal 1.238 -> 1.231 twin (-e 1050) 1.272 -> 1.447 twin (-e 450) 1.280 -> 1.622 twin (full) 1.441 -> 1.522 twin (-e 600) 1.427 -> 2.010 The margin around the 1.25 bound widens from 2.7% (genuine 1.238 against twin 1.272 - uncomfortably tight for a decision that cannot be undone downstream) to 17.5% (1.231 against 1.447). The bound itself does not move. Rotation battery, 33 crystals in both detection modes: no point group changed in either (30/33 and 29/33, as before), and only one crystal's numbers move at all - the one already documented as nondeterministic between repeat runs of the same binary. The synthetic twin-fraction x multiplicity grid passes unchanged. So this buys margin, not outcomes. Found while testing a different hypothesis, which the same measurement refuted: a tetragonal crystal whose 422 promotion is wrongly refused reads 1.484 by the mean and 1.472 by the median, i.e. its disagreement is distribution-wide and is NOT a badly-integrated minority. That crystal's cause is elsewhere and is not addressed here - see the note below. Its indexing-ambiguity operator (-k,-h,-l) lies INSIDE 422 but OUTSIDE 222, so the subgroup merge the search is given mixes lattices indexed in the two alternative hands. That corrupts exactly the 4-fold relationships and leaves the 2-fold ones intact - measured, the 222 step reads 0.917 and the 422 step 1.484 - and the corruption is indistinguishable from a twin law. Forcing the tetragonal group merges the two hands as equivalent and the same data give CC1/2 99.2% at multiplicity 10.7, matching XDS. The failure is worse the BETTER the frames index (99.9% vs 63.3% for the run that gets it right), because indexing more frames picks up more of both hands. So no statistic computed on a subgroup merge can arbitrate a promotion whose added operators include an indexing-ambiguity operator. Fixing that means resolving the ambiguity before the search, or detecting the coincidence and deciding another way; the operators needed to detect it are already computed (the run warns about them). Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>	2026-07-28 11:07:06 +02:00
leonarski_fandClaude Opus 5	ae126c3d5b	Per-image refinement: weight each spot by how strong it is for its resolution ... `RefineGeometryIfNeeded` hands XtalOptimizer the WHOLE spot list, not the indexed subset, and the first pass admits anything within 0.3 fractional-Miller units of an integer - which is 11.3% of RANDOMLY placed spots, since the admitted volume is (4/3)*pi*t^3. Every one of them then enters an unweighted L2 fit with an arbitrary rounded index. On images with many detections the refined orientation ends up 2.3-2.8 degrees from the goniometer-consistent one and explains 14 of its own 250 spots where the undragged orientation explains 68; mosaicity and profile radius inherit the error and integration follows. Weight every spot by its intensity divided by the median intensity of its own equal-count resolution shell, applied as w^2 on the squared residual with w^2 = r/(1+r). The shell normalisation is the point: refinement needs the high-resolution spots because they carry the cell and distance, and those are LEGITIMATELY weaker, so a raw intensity weight would suppress exactly the spots the fit depends on. Measured, the weight is resolution-neutral - median exactly 0.707 in every shell, and corr(w, 1/d^2) = -0.20 / -0.11 against -0.32 / -0.34 for the same function of un-normalised intensity. This is a PRIOR: it is computed from the spot alone and never looks at the current residual, so unlike a robust loss it cannot mistake a genuine spot for an outlier while the starting geometry is still far off and leave the fit unable to move. That failure is not hypothetical - a CauchyLoss on this same residual, at the scale the multi-frame GeometryRefiner uses, collapsed one crystal's indexing rate from 99.89% to 19.83% and was rejected. It does not work by telling good spots from bad, and it does not need to. No per-spot property separates spots that index from spots that do not: measured AUC is 0.53 for peak pixel, 0.53 for total intensity, 0.51 for pixel count, 0.45 for peakedness, and a logistic regression on all twelve available features with pairwise interactions reaches only 0.64. What the weight does is halve the EFFECTIVE COUNT of every spot (mean w^2 = 0.517), and the damage scales with the absolute count of unexplained spots in the objective - 80.6 per frame here against 36.8 for the finder that was never damaged. That is also why an empirical `--max-spots 66` cap works while leaving the list no purer than before: it reaches the same operating point by discarding spots. This reaches it without discarding any, and without a tuned constant. Rotation battery, 33 crystals, both spot finders: finder A 29/33 -> 30/33 point groups (one crystal P222 -> P4212 = XDS, its high-shell CC1/2 86.0 -> 98.4) finder B 28/33 -> 29/33 point groups (one crystal I222 -> I23, its high-shell CC1/2 14.8 -> 38.0) No crystal lost its point group in either mode and no run failed. On the meta-stable multi-lattice dataset the CC1/2 spread over four frame ranges falls 19.7 -> 13.1 for finder B, and the indexing rate rises in 8 of 8 configurations. The crystal that the rejected robust loss destroyed keeps its 99.89% indexing rate exactly. The cost, stated plainly: ISa falls by 0.2-1.7 on about five crystals (and rises on two). Point-group correctness is worth more than that - merging in the wrong symmetry cannot be undone from the output, whereas ISa is a quality metric of data that remain correct - but it is a real trade and not a free win. Off by default. The indexers pass a spot list they have already selected, so their calls are unchanged; only the per-image refinement, which gets the raw list, turns it on. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>	2026-07-28 09:53:13 +02:00
leonarski_fandClaude Opus 5	ec7a826136	Rotation scaling: guard the fulls refit against a collapsed per-frame scale too ... 704098712 guarded the per-frame scale on the partials, but it put the check inside ComputeSmoothGWindow - which only the partials path calls. Step 4 refits the scale from scratch on the COMBINED FULLS (Unity model, so corr is exactly 1/G), with no smoothing and no floor, and that refit was still free to collapse toward zero. It is the same failure and it is worse here, because there is no window average to dilute it: the collapsed frame's own fulls are multiplied directly. Measured on a dataset where the previous commit had already fixed the partials stage, the fulls refit put 1/G = 559x and 175x on two frames carrying 517 observations, and the merged CC1/2 read 26.2% where the intensities ENTERING that stage were fine - better, in fact, than the comparison run's in all ten resolution shells (R_meas 34.5% vs 39.5%, CC1/2 89.1% vs 83.0%). Reject a collapsed scale here as well, on the same measured criterion, and let those fulls merge unscaled - the state the combine left them in, and the same fallback the fit already uses for a frame with too few reflections. The check reads the host fulls after both the CPU loop and the GPU ScaleFulls, so one implementation covers both paths; the corrected corr is pushed back to the device exactly as the correction surfaces already do. THIS IS NOT A DETECTION-MODE PROBLEM. Over 8 configurations (both spot finders x 4 frame ranges) the separation is exact: every run with a collapsed scale had CC1/2 <= 58.5%, every run without had CC1/2 >= 74.1%, and nothing else predicted it. On one frame range it is the DEFAULT finder that collapses (CC1/2 58.5%) while the other is clean at 93.8%. The instability was never specific to the finder; it was latent in the scaling stage and either finder could trip it. Same 8 configurations, with this commit: finder A full 93.7 -> 93.7 (untouched) finder A -s 1 58.5 -> 91.3 (recovered) finder A -e 899 94.0 -> 94.0 (untouched) finder A -e 898 87.2 -> 87.2 (untouched) finder B full 26.2 -> 91.1 (recovered) finder B -s 1 93.8 -> 93.8 (untouched) finder B -e 899 8.1 -> 91.7 (recovered) finder B -e 898 74.1 -> 74.1 (untouched) Every collapse recovers; every healthy run is unchanged. The CC1/2 spread over the four frame ranges falls from 35.5 to 6.8 points for one finder and from 85.7 to 19.7 for the other - this dataset was not sampling a deep instability when its CC1/2 swung between 17 and 94 across frame ranges, it was sampling whether this bug happened to fire. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>	2026-07-27 23:08:50 +02:00
leonarski_fandClaude Opus 5	7040987125	Rotation scaling: do not trust a per-frame scale that has collapsed toward zero ... The per-frame scale enters every intensity as 1/G, and SolveScaleIRLS floors G at zero and nothing else. A frame whose fit is not determined by its data can return G ~ 0.002 against a run median of 0.865, and every observation it carries is then multiplied by ~500 - sigma by the identical factor, which is why no sigma-based outlier test can see it and why this looked for a long time like a partiality problem. (The 1/partiality path is in fact guarded: min_captured_fraction floors it at 0.7 by default on rotation.) The window smoothing that should have absorbed such a frame instead made it permanent. It averages log G over a window, so a scale collapsing toward zero does not merely corrupt its own frame - its logarithm drags the whole window down. Worse, where a run has a stretch of frames too sparse to fit at all, the only FITTED frames in a window can be the collapsed ones, and the geometric mean then averages the fault with itself. Measured on a multi-lattice dataset: frames 816 and 818 fitted G = 0.0023 and 0.0014 with every neighbour from 800 to 839 unfitted, so smoothing set G = 0.0018 across the whole neighbourhood - a 546x amplification. About 500 observations of 152000 (0.66%) then carried 99% of sum(I^2), and the merged CC1/2 read 17.2% where the same data with the classic finder read 93.7%. Treat a fitted scale far below the run's median as what it is - an undetermined scale, exactly like the too-few-reflections case the code already handles - rather than as a successful fit. Such frames no longer contribute to the smoothing mean, and a frame whose own scale is not credible takes the neighbourhood's, or the run's typical scale when the neighbourhood holds nothing credible either. The bound is a RATIO to the run's own median because the rotation per-frame G is not gauge-fixed: G and the group means have an exact global multiplicative degeneracy, and the fitted median drifts over 0.745-1.358 across the battery. An absolute floor would reject everything in a run that drifted low. MIN_CREDIBLE_SCALE_RATIO = 0.02 was chosen from measurement over 12 crystals in the default configuration, where the smallest legitimate min(G)/median(G) is 0.070; the failing case sat at 0.0017. It is 3.5x below anything real and 12x above the failure. Effect on the intensity tail of the failing case: max I 10224 -> 438, and the top 1000 observations' share of sum(I^2) 0.990 -> 0.421 (the classic-finder reference is 0.632, so the tail is now cleaner than the run this was compared against). Rotation battery, 33 crystals in the default configuration: ZERO crystals differ - no space group, CC1/2, high-shell CC or ISa change anywhere. The guard fires only on the pathology. It does NOT rescue that dataset: with the amplification gone its CC1/2 is 26.2% and R_meas 49.2% against the classic finder's 93.7% and 27.8%. Adaptive detection degrades those intensities for a second, independent reason that is still open. This commit removes a latent hazard for any run with a sparse stretch of frames; it is not the fix for that dataset. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>	2026-07-27 22:43:58 +02:00
leonarski_fandClaude Opus 5	0cd8cb7ba3	Space-group search: name the veto that actually refused a promotion ... The refusal message fell through to the chi^2 branch whenever the systematic-b balloon veto was the binding test, so it reported a chi^2 ratio that did not justify the refusal at all - on one battery crystal it printed "merge chi^2 is 1.25x the subgroup's (bound 1.85)", i.e. a number comfortably inside its own bound, as the reason for processing in the lower symmetry. A diagnostic that names the wrong cause is worse than none: it sends the reader after the wrong statistic. Report the b test when it is what fired, with both b values and the bound. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>	2026-07-27 21:38:07 +02:00
leonarski_fandClaude Opus 5	3171b071e6	Space-group search: judge a promotion against its parent, not against the error model ... The point-group decision moved with the AMOUNT of data at fixed physics: a partially twinned trigonal crystal was promoted into the twin's holohedry whenever the search happened to see a larger first-pass merge, and kept its true subgroup when it saw a smaller one. Simulation over 6 noise draws with only the merge multiplicity varying: the twin is promoted 0/6 at multiplicity 2 and 6/6 at 18, while the genuine control is promoted 6/6 throughout. The cause is that every existing gate is a ratio to the merge error model - b_parent grows toward the true systematic scatter as sigma shrinks with 1/sqrt(N), while b_cand is already saturated by the twin's disagreement, so the ratio slides down through a fixed veto. The parent statistic moves with data amount and the candidate statistic does not. Gate promotions on the operator disagreement H = <|I1-I2|/(I1+I2)> instead, as the ratio of the operators a promotion ADDS to the parent group's own operators on the same reflections. There is no sigma in it, so it cannot drift with the error model, and the parent normalisation cancels data quality. Measured over 27 runs, 5 promotion types and 450-1800 images: genuine symmetry 0.862-1.219, merohedral twins 1.270-2.084. On the synthetic grid it is flat across a 9x change in multiplicity - genuine pinned at 1.00, twins 3-12x the bound - which is precisely the property the old gates lacked. chi^2 and the systematic-b stay as secondary vetoes; they protect against non-crystallographic pseudo-symmetry, which is where correlation-based scoring is weak. Pick the parent carefully: 422 has two maximal subgroups of order 4, and on a tetragonal crystal twinned by 2[100] the rival (222) is CC-confirmed too and CONTAINS the twin laws, so normalising against it hides the twin among the promotion's own real operators (ratio 8.19 against the true parent, 0.78 against the rival). Where several parents tie, judge on the most damning. Also: - Report a refused promotion instead of silently processing lower. Merging a twin in the twin's holohedry averages non-equivalent reflections into each other and cannot be undone from the output; keeping the subgroup costs only redundancy. The refusal names the group and the number that caused it. - Stop the twinning report from arguing in a circle. It ran after adoption and conditioned on the adopted group, so a promotion into a holohedral Laue class made it print "no merohedral twin law exists" - the test was conditioned on the decision it should audit. Twinning is now also measured on the subgroup merge before adoption, and the post-adoption text says when its own conclusion is not authoritative. - Compare PRIMITIVE cell volumes in the first-pass scheme tie-break. A centred setting's cell is an exact integer multiple of its primitive one (a rhombohedral lattice in hexagonal axes is exactly 3x), so the integer-supercell test fired on a pure setting difference and demoted a good scheme to a threefold-smaller merge - which is what let the twin see the small merge to begin with. Rotation battery, 33 crystals: point-group agreement 30/33 -> 29/33, one crystal moved. That crystal (P422 -> P222) is the one with the known unresolved integration defect where reflections near the rotation-axis plane are wildly mis-integrated; its symmetry mates genuinely disagree, and its lower-symmetry merge is measurably better (ISa 2.72 -> 3.63, high-shell CC 75.4 -> 86.0). The threshold was not moved to accommodate it: 1.25 sits inside the measured gap and widening it would admit real twins. Separately the tie-break improved one crystal's CC1/2 from 77.7 to 84.0. Tests: a synthetic twin-fraction x multiplicity grid, which is what the search had never had - the existing tests are noise-free and exercise only Stage B absences. A NOTE ON WHAT WAS TRIED AND REJECTED, so it is not rebuilt: the obvious "physics-anchored" statistic is the disattenuated cross-validated correlation rho = corr(I_half0(h), I_half1(Rh)) / corr(I_half0, I_half1), which is 1 for real symmetry at any data quality and 2a(1-a)/((1-a)^2+a^2) for a twin. It passes the synthetic grid perfectly and FAILS ON REAL DATA IN BOTH DIRECTIONS - five false refusals of genuine symmetry on the battery, and it waves through a twin (rho 0.998) that H refuses. The reason is that cc_half correlates the two halves of the SAME reflection and so measures only random error, while cc_cross compares DIFFERENT reflections carrying different systematic error; dividing by cc_half removes the noise and leaves a systematic floor that varies by crystal AND by operator. Genuine rho measures 0.9987 on strong data and 0.73 on weak. A synthetic generator validates a statistic's arithmetic, never its premise, and this premise - that the only departure from exact symmetry is noise - is false for every real crystal. Any per-operator agreement statistic needs a same-crystal reference; an absolute threshold on one cannot be made to work by tuning. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>	2026-07-27 21:05:16 +02:00
leonarski_fandClaude Opus 5	c9b52857e0	rugnux: warn when --min-image-cc is ignored; drop a dead robust estimator ... --min-image-cc is consumed only by the stills merge (MergeOnTheFly); RotationScaleMerge never reads it. On rotation data it was accepted and then silently did nothing, so a run that looked filtered was not. It now says so. FitProfileRadius_MAD had zero callers - a robust twin sitting uncalled next to the non-robust estimator that is actually used is a trap, so it goes. Neither changes any result: verified on a rotation dataset (indexing rate, cell, space group and merge statistics identical, warning emitted). Context for anyone tempted to wire that estimator in: I tested exactly that today and it is NOT justified. The population it would clip is truncated by construction - a spot is only marked `indexed` when its fractional-Miller norm is inside the indexing tolerance - and is measurably shorter-tailed than Gaussian (kurtosis 2.85). Across four serial-stills datasets a MAD-clipped variant only narrowed the prediction window (-17% integrated reflections everywhere), which was neutral on strong data and destroyed real signal on weak data (one set lost completeness 96.0 -> 93.9%), with R-free 0.3753 -> 0.3767. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>	2026-07-27 10:46:52 +02:00
leonarski_fandClaude Opus 5	16bf3408f0	Address code-review findings; make detection limits detector-driven ... One changeset, developed together in response to a review of this branch, so the files carry several of the changes at once. Full test suite passes (733 cases). Spot finding - Split ImageSpotFinder into Detect() (flag strong pixels - the expensive per-pixel pass) and ExtractSpots() (CCL + min/max-pix + resolution mask), with Run() = both. The per-image min-pix escalation now detects ONCE and repeats only the cheap extraction, instead of re-running the whole finder four times per frame as it did on the default path. It also keeps the winning attempt's spot list rather than re-extracting it, so the frame that is integrated is exactly the frame that was scored - which a GPU re-extract could not guarantee (float atomic ordering). - spot_finding_time_s no longer swallows indexing time, and indexing_time_s now sums every escalation call instead of reporting only the last. Detection limits follow the detector - The azimuthal-integration upper q and the spot-finding high-resolution limit are now std::optional, in the C++ structs AND in the OpenAPI schema, and resolve to the detector's own maximum (DiffractionExperiment::GetDetectorMaxQ_ recipA). Adaptive detection reads a pixel's ring from the azimuthal bins, so a pixel outside that q range could never be strong - the integration range silently bounded what detection could see, regardless of the requested resolution limit. Regenerated the C++ and TypeScript clients; the viewer and the web frontend each gained a "to detector edge" switch. Detection defaults are now per workflow (measured, not assumed) - Stills: adaptive detection, min-pix chosen per image, no resolution clipping. - Rotation: fixed-threshold finder, min-pix 2, 1.5 A limit. On a 33-crystal rotation battery, adaptive detection helped four hard crystals but deterministically broke three (a lost space group, a halved indexing rate, a collapsed merge), and the detector-edge limit cost indexing on a strong rotation set (100.0 -> 96.8%). Each is still overridable by its flag, and --no-adaptive-spots is new. Indexer seed escalation - Stop escalating once a seed's lattice explains >= 90% of the seed spots. Previously any frame with >= 80 spots always paid three indexer calls, online broker included. Merge-consistency filter - --min-image-cc gated on a per-image CC computed BEFORE the stills partiality post-refinement and never refreshed; the refiner now recomputes it, so the reported CC describes the data that are actually merged. - Replaced the per-call cc_mask argument with one MergeOnTheFly flag, so the merge, the error model and MergeStats can no longer disagree about which images are in (the --scale path merged unfiltered while its statistics were filtered). Per-image B-factor refinement (-B) removed - Measured on four serial-stills datasets: it is a no-op where the per-image fit is well conditioned and actively harmful where it is not (CC1/2 -8.1, R_meas +23.2 on the weakest large-cell set, whose fits hit their [-50, 200] bounds on 14-25% of images). It had also been silently DISCARDED since the partiality post-refinement landed - reported but not applied. Rather than fix and keep a knob with no demonstrated benefit, the flag and the whole image_scale_b_factor chain are gone: setting, scaling fit, message field, CBOR, HDF5 write and read-back, per-image plot, OpenAPI enum, viewer column and checkbox, docs. ScaleOnTheFly no longer needs Ceres at all - the fit is a linear IRLS. (The Wilson per-image b_factor is a different quantity and stays.) Stills partiality width now fits both of its components - sigma^2 = gamma0^2 + (gamma_e*d*)^2 instead of a purely angular gamma_e*d* with gamma0 pinned to 0. Fitted per crystal by least squares of dist_ewald^2 on d*^2. The angular-only width is fitted over a d*^2-dense population, so it was pinned by the high-resolution edge and collapsed at low d*: median partiality 0.008 beyond 13 A for reflections that were plainly recorded, 55% of them under the merge's partiality floor, and the survivors divided by those values - which inflated the merged low-resolution intensity scale 3.6x (~ +9 A^2 of apparent B). Measured on 5000 stills: the ramp flattens to 0.89x, no observation is dropped any more (701750 -> 716811), shell-mean CC1/2 and R-free improve slightly. Note CC1/2, R_meas, completeness and a B-refining R-free are all blind to that ramp, which is why it survived earlier validation; the cost is high-resolution R_meas (98.5 -> 101.9 shell-averaged). Removed dead code from add-then-remove churn - Prediction-time "still partiality" (unreachable: no setter), the phantom IndexingSettings::min_indexed_spot_fraction knob (getter, no setter - now the constant it always was), StillsPartialityRefine's caller-less Settings constructor and its reference to a long-gone env var, ProcessImage's unread bool return, an unused include, and a dead viewer overlay hook. Also - Viewer: the magnifier compared a QImage with itself, so its scene rect was set once ever and it could not pan into a larger dataset; the hover tail timer could fire after leaveEvent and resurrect the resolution readout outside the image. - update_version.sh regenerated the frontend lock file BEFORE bumping the version (every release shipped an off-by-one lock), and did git rm/git add on a path that has not existed since the client moved to src/client - with no set -e, both failed silently. - fpga/pcie_driver/postinstall.sh tested "[ ! occurrences > 0 ]", which is a redirect, not a test, so dkms add never ran. - Unit tests for the adaptive-threshold host functions, which had none. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>	2026-07-27 09:07:00 +02:00
leonarski_fandClaude Opus 5	38f1c1a387	Revert "Viewer: read the data-analysis algorithm documentation from Help" ... This reverts commit 681e80e46. Dropped for now: QTextBrowser::setMarkdown leaves the inline LaTeX in CPU_DATA_ANALYSIS.md as raw "$...$" source, and the document's own HTML/math rendering wants sorting out first. Reverted rather than rewritten so the implementation stays available in history to bring back afterwards. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>	2026-07-26 22:08:45 +02:00
leonarski_fandClaude Opus 5	6f15ae04b7	Viewer: read the data-analysis algorithm documentation from Help ... Adds Help > Data Analysis Algorithms, showing docs/CPU_DATA_ANALYSIS.md in a window. The document is baked into the binary through the Qt resource system (aliased to :/cpu_data_analysis.md), so it needs no docs/ directory at runtime and cannot drift from the build it shipped with. Same shape as the existing third-party licences window, created once and raised thereafter. Limitation worth knowing: QTextBrowser::setMarkdown renders the headings, lists, emphasis and inline code well, but it has no math support, so the inline LaTeX in the more quantitative sections appears as raw "$...$" source. The descriptive material - which is most of the 744 lines - reads fine. Fixing that properly means either pre-rendering the document to HTML with a math filter at build time, or sending the user to the Read The Docs copy instead; neither seemed worth doing without knowing which you would prefer. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>	2026-07-26 22:05:11 +02:00
leonarski_fandClaude Opus 5	79b86164a4	Viewer: ROI statistics appear as soon as the first ROI is drawn ... Drawing an ROI reported Sum 0 and Max 0 until the next frame was loaded, with only the pixel count looking right because that comes from the ROI map rather than from the data. SetROIDefinition_i called RunROIOnly, which integrates whatever the preprocessor buffer already holds. LoadImage_i only preprocesses an image when a ROI is already defined, so the very first ROI is drawn on an image that was never preprocessed: the buffer is empty and every sum integrates to zero. From the next frame on a ROI exists, LoadImage_i preprocesses, and the numbers look correct -- which is what made this look like a refresh problem rather than a wrong call. Use AnalyzeROIOnly, which preprocesses the image before integrating. It costs a pass over the image per ROI edit, of the same order as one recolour, and ROI edits already keep at most one recompute in flight (live_pending_ in JFJochDiffractionImage), so the editing rate is bounded. I did not measure the drag rate specifically. Verified with a single frame loaded and no frame step: the first ROI drawn over the beam centre reports Sum 66065, Max 2761, Mean 0.473, centre of mass (787.3, 844.5). The Max equals the image's own reported maximum of 2761, as it must for a box containing the brightest pixel. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>	2026-07-26 21:49:02 +02:00
leonarski_fandClaude Opus 5	84a1538495	Viewer: drop the in-view ROI accumulation, the worker already does it ... The statistics shown for a drawn ROI do not come from the view at all. Drawing one promotes it to a named ROI, roiGeometryEdited goes to the reading worker, and the worker's per-image results arrive in ImageData().roi, which is what the Inspector's ROI section displays. So accumulateROI/CalcROI/roiCalculated were a second implementation of the same thing whose output nothing read -- and the worker's version is the better one: it handles the mask and it persists per image. Remove them. The view now owns only the ROI's geometry and gestures, which is all the worker needs from it. This corrects the previous commit's claim that nothing surfaces ROI statistics: the Inspector does, via the worker. Verified by drawing a box over the beam centre: Sum 65453, Max 1634, Mean 0.468, centre of mass (786.3, 843.4) against a beam centre of (764, 850). Note the numbers appear from the next analysed frame onward, since the worker attaches them at analysis time and the displayed frame was analysed before the ROI existed -- that behaviour is unchanged here. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>	2026-07-26 21:42:30 +02:00
leonarski_fandClaude Opus 5	57f9e42382	Viewer: the region of interest belongs to the diffraction view alone ... Drawing an ROI only means something where there are detector counts to accumulate. Gate the gesture on a virtual AllowROI(), true only for JFJochDiffractionImage: shift-drag, the resize handles, the hover cursor and the "Clear ROI" context entry now do nothing in the azimuthal, grid-scan and calibration views, which cannot report anything about a box anyway. The statistics move out of the base class into the diffraction view and read the int32 image directly, so no float copy of the detector image is built for them either. With the labels already converted, image_fp is now untouched by the diffraction view, and the lazy EnsurePixelValues machinery it needed is gone. image_fp stays as the base's representation for the views whose data really is float: the azimuthal profile, the grid-scan 1/sigma^2 map, and the calibration viewer's eight source types. Removed with it: the ROI readouts in the calibration and 2D azimuthal windows, which were the only two consumers of roiCalculated -- the diffraction view emitted it and nothing listened. Nothing surfaces ROI statistics now; the pixel-mask case wants rectangles counting excluded pixels and deserves its own design. JFJochViewerROIResult is still used by the side-panel ROI list, so the widget stays. Verified in the GUI: shift-drag in the diffraction view still draws the box, turns it into a named ROI and runs the statistics; fit-view panel remains pixel-identical to the pre-series baseline. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>	2026-07-26 21:32:47 +02:00
leonarski_fandClaude Opus 5	27615a8a1d	Viewer: label pixels from the int32 image, and paint them instead of building items ... Two changes to the per-pixel value labels, which appear above 30x zoom. They were up to 5000 QGraphicsSimpleTextItems created and destroyed on every overlay rebuild - so on every pan step while zoomed in. Paint them in drawForeground() instead: no item churn, no scene invalidation, and the text is laid out in viewport pixels so it is a constant readable size rather than a scene-space font scaled by 0.2. Same approach as the magnifier's labels. The value text becomes a virtual, PixelLabel(). The base still formats from image_fp, which is what the genuinely float-valued views hold (azimuthal profile, grid-scan 1/sigma^2, the calibration viewer's eight source types). JFJochDiffractionImage overrides it to read the int32 image directly: counts are exact integers, so routing them through float32 is a detour that also cannot represent summed values above 2^24 exactly. Verified at 38 wheel clicks over a module edge: identical values and gap/contrast handling to the previous float path, now centred in each pixel. Fit-view panel still pixel-identical to the pre-series baseline. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>	2026-07-26 21:27:17 +02:00
leonarski_fandClaude Opus 5	7a893bb1e7	Viewer: per-pixel counts in the magnifier, read from the int32 image ... Users expect a magnifier to tell them the counts, which the follower view could not do: it has the rendered pixels but not the numbers behind them. Take them from the detector's int32 buffer directly, the same source the main view colours from, so no float copy of the image is needed - the magnifier still holds nothing full-size of its own, only a shared_ptr to the frame and one to the reader image. The labels are painted in drawForeground() rather than as scene items. The main view creates up to 5000 QGraphicsSimpleTextItems per overlay rebuild for this; here they are just drawn, so there is no item churn and no scene invalidation. Text is laid out in viewport pixels so it stays a constant readable size, and black/white is chosen from the luminance of the rendered pixel underneath, as the main view does. Threshold is the same 30x as the main view, so the default 12x magnification shows no labels until the user wheels in; a cap keeps pathological window sizes from drawing thousands of them. Verified in the GUI at 32x: counts drawn per pixel with white text over the dark centre of a Bragg peak and black elsewhere, and "Gap" across a module gap. Main image panel still pixel-identical to the pre-series baseline. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>	2026-07-26 21:18:20 +02:00
leonarski_fandClaude Opus 5	d2ce65f857	Viewer: magnifier displays the frame the main view already rendered ... The magnifier and the main view are two views of the same image at different position and zoom, but the magnifier ran the whole pipeline again on its own copy: it wrapped the same int32 buffer in a SimpleImage, converted it to float, coloured every pixel and kept its own full-size QImage. That is a second conversion and two extra full-detector buffers (20 MB at 2.8 Mpx, 138 MB at 18 Mpx) to feed a 320x320 window. Separate producing a frame from displaying one: - JFJochImage keeps the rendered frame in a shared_ptr<QImage> (the pointer is stable for the widget's lifetime; only the contents change, so the existing buffer reuse is unaffected), publishes it via Frame() and announces new pixels with frameRendered(). - JFJochImageItem holds that shared_ptr instead of a reference to a member of its owner, which also removes a lifetime coupling. - JFJochFollowerImage is a small read-only view of such a frame with its own zoom and centre. It shows only the image: overlays, ROI tools and per-pixel labels belong to the view that owns the data. - The magnifier becomes one of those, fed from frameRendered(). Consequences beyond the saving: the magnifier now agrees with the main view on colour map, contrast and HDR mode, which it never did -- it was wired to neither, so it always drew with its own defaults. And the visibility guard added in 6d1af4921 is gone: there is no longer any per-frame work to skip, so nothing needs guarding. That guard was a workaround for this design. Stepping 30 frames with the magnifier open: 5550 -> 4810 ms CPU, which is what it costs with the magnifier closed (4770 ms) -- it is now free either way. Verified: main image panel and a drag-pan stay pixel-identical to the pre-refactor binary (AE=0); the magnifier follows the cursor, updates on a new frame, and now tracks a colour-map change. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>	2026-07-26 21:11:42 +02:00
leonarski_fandClaude Opus 5	5782cc0edf	Viewer: reciprocal-space view does nothing while its window is closed ... The window is a placeholder for future functionality and is closed almost all of the time, but it extracted the frame's spots and rebuilt and uploaded its vertex arrays on every image, whether or not anything was on screen. Guard it in rebuildGL() rather than at each of the eight call sites, so any future caller inherits the behaviour: while hidden it only records that a rebuild is owed, and showEvent() pays it. imageLoaded() additionally skips extracting the frame's spots, which is the other half of the per-frame work. The OpenGL code path is untouched and still built and exercised the moment the window is opened. Note: I could not show a CPU saving for this on the headless test machine -- there, ~74% of the process CPU is Mesa llvmpipe software rasterisation that I was unable to attribute to any per-frame code path, and it swamps the effect. The work being skipped is nonetheless unambiguously unnecessary. Verified in the GUI: after stepping frames with the window closed, opening it shows the current frame's spots, and it keeps updating while open. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>	2026-07-26 21:05:21 +02:00
leonarski_fandClaude Opus 5	68f5f1f32d	Viewer: do not render the magnifier close-up while it is closed ... centerAt() checked isVisible(), but imageLoaded() did not, so every frame built a SimpleImage over the whole detector image and ran it through the full JFJochSimpleImage path -- convert to float, colour every pixel, redraw -- to feed a 320x320 window that is closed by default and stays closed most of the time. Remember the frame instead and do the work in showEvent(). Holding the shared_ptr also keeps alive the buffer that the SimpleImage's CompressedImage points into, which it did not own. Stepping 30 frames with the magnifier closed: 5545 -> 4770 ms CPU (-14%), on a 2.8 Mpx detector; the saving is per-pixel, so it grows with detector size. With the magnifier open the cost is unchanged (5500 ms), which is what was being paid unconditionally before. Verified in the GUI: opening the magnifier still populates it, and it still refreshes when the frame changes. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>	2026-07-26 20:45:11 +02:00
leonarski_fandClaude Opus 5	2a31cf8d81	Viewer: stop forcing FullViewportUpdate in JFJochSimpleImage ... FullViewportUpdate redraws the whole viewport on any change. The attached comment ("keep overlays in pixel units independent of zoom") does not describe what the setting does, and nothing here needs it: SmartViewportUpdate repaints the changed rectangles and falls back to a full repaint by itself once there are too many to be worth tracking. This is the view used by the calibration window and the magnifier, and the magnifier is driven from every hover, so on a remote session it repainted its whole viewport per pointer motion. Note: not exercised visually -- both windows are opened from menus, which the headless harness does not drive. The change is a repaint-mode switch with no effect on what is drawn. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>	2026-07-26 20:13:21 +02:00
leonarski_fandClaude Opus 5	4892c57119	Viewer: paint the resolution readout in drawForeground, not as a scene item ... The hovered "d = ... A" readout was a QGraphicsTextItem flagged ItemIgnoresTransformations, repositioned on every mouse motion. Qt cannot compute a tight dirty rect for an item that ignores the view transform, so it marks the entire viewport dirty whenever such an item moves or changes text -- and this one moved constantly. Paint it in drawForeground() in viewport pixels instead, and repaint only the union of its old and new rectangles. That also removes the item lifetime special-casing: it was deliberately kept out of overlay_items_, had to be nulled by hand after scene()->clear(), and carried comments in three places warning about the dangling pointer. This does not reduce raw X11 traffic -- there every repaint uploads the whole window whatever the damage -- but it cuts the work per hover, and it does matter under a compressing remote protocol (VNC/NX/xpra), which encodes only the region that actually changed. Verified against the previous build: same text, colour and position. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>	2026-07-26 20:13:04 +02:00
leonarski_fandClaude Opus 5	501ce1ba3d	Viewer: rate-limit hover feedback to ~15 Hz ... The status bar, the resolution readout and the magnifier were all regenerated on every single mouse motion event. Each regeneration repaints, and on a remote X session a repaint uploads the whole window regardless of how little changed, so the pointer merely crossing the image saturates the link: measured with a counting relay in front of the X server, 50 motions over the image cost 273 MB, and a build with the hover work removed cost 18 KB. Rate-limit it. Two details matter: - The limit is applied inline, not from a timer. Running the update inside the mouse event keeps its damage in the same repaint as anything else that event triggers (a pan). A first attempt deferred the work to a timer instead, which split one repaint into two and made panning measurably worse. - The catch-up that reports the final position is debounced, not queued per skipped motion, so it fires once after the pointer stops rather than repeatedly mid-gesture. mouseHover() now takes the scene position and modifiers instead of the event, which also removes the identical mapToScene() from all four implementations. Hover traffic over 3 repeats: 173 MB mean -> 140 MB, and the run-to-run spread drops from +-14% to +-2%. The harness tops out near 30 motions/s, barely above the 15 Hz limit; a real mouse reports far faster, where the cap does more. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>	2026-07-26 20:12:36 +02:00
leonarski_fandClaude Opus 5	3eccc58961	Viewer: colour the diffraction image straight from int32 ... image_fp is the base class's one pixel representation, and it earns that for three of the four image widgets: the azimuthal image is already float, the grid scan holds computed 1/sigma^2 floats, and the calibration viewer accepts eight source types from uint8 to float64. The diffraction image is the odd one out -- its source is a large int32 buffer -- and it is the one paying: a full int32 -> float pass plus a second resident copy of the image, on every frame. Split the mapping from the source. PixelColorMap holds the precomputed LUT constants and does value -> colour; a virtual ColorRow() picks the pixels out of whatever buffer the subclass has. Both paths now go through the same Apply(), so only the gap/bad/saturated dispatch differs, and it lines up exactly with the encoding LoadImageInternal used: GAP_PXL_VALUE -> NAN -> gap ERROR_PXL_VALUE -> -INF -> bad SATURATED_PXL_VALUE -> +INF -> saturated The base class still needs real pixel values for ROI statistics and per-pixel labels, so image_fp is filled on demand instead of per frame -- and only when something reads it: a non-empty scratch ROI, or labels above 30x zoom. Neither happens while simply looking at frames, and nothing else routinely sets roiBox (the named ROIs are computed in the reading worker, not here). 18.1 Mpx: 10.5 -> 5.9 ms per frame and 72 MB less resident. 4.5 Mpx: 1.8 -> 1.0 ms and 18 MB. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>	2026-07-26 19:12:55 +02:00
leonarski_fandClaude Opus 5	0b926af5af	Viewer: cache the traced resolution-ring contours ... DrawResolutionRings traced every ring point by point on each overlay rebuild: 361 ResPhiToPxl calls per ring, so about 4000 geometry evaluations per rebuild with the 11 ice rings shown -- and a rebuild happens on every pan step. The contours depend only on the ring list and the geometry, neither of which changes while the view moves, so keep them. The cache is keyed on the ring list (which RingMode::Auto recomputes from the visible area, so it still re-traces when it should) and cleared in loadImage for a possibly-new geometry. Labels are still placed per rebuild: they depend on the visible rect. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>	2026-07-26 19:04:52 +02:00
leonarski_fandClaude Opus 5	c3eba650e9	Viewer: one overlay rebuild per pan/zoom, and only invalidate the image when it changed ... Panning called updateOverlay() three times per mouse move: once for each scrollbar's valueChanged -> onScroll(), then once explicitly. Zooming was the same. Every one of those tore down and rebuilt every overlay item. Suppress onScroll() for the duration of the gesture instead, and let the gesture do its single rebuild at the end. Note this cannot be done by blocking the scrollbars' signals: QAbstractScrollArea drives the actual scrolling off valueChanged, so blocking it would stop the view moving at all. updateOverlay() also refreshed the image item unconditionally, which marks the whole item dirty and forces a full-viewport repaint even though pan and zoom never change the pixels. Track whether RenderImage has run since the last refresh and skip it otherwise. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>	2026-07-26 19:03:05 +02:00
leonarski_fandClaude Opus 5	fd9f93e1f1	Viewer: stop copying the image in LoadImageInternal, parallelise it ... "auto img = image->Image()" deduced std::vector<int32_t> by value, so every frame copied the whole detector image before converting it -- 72 MB on a 16 Mpx detector. Bind a const reference instead. The sentinel-to-float conversion also ran single-threaded on the GUI thread; spread it over rows the same way RenderImage does. 18.1 Mpx: 11.8 -> ~1 ms, plus the copy that is now gone. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>	2026-07-26 19:00:37 +02:00
leonarski_fandClaude Opus 5	417170bc13	Viewer: coalesce foreground/background recolours ... Ctrl+wheel, Shift+wheel and the foreground slider each recoloured the whole image synchronously, once per input event. On a large detector the recolour is slower than the events arrive, so they queued up and the view lagged behind the cursor for as long as the user kept scrolling. Defer the recolour to a zero-delay single shot and drop the intermediate values: at most one recolour is in flight, and it always uses the newest foreground/background. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>	2026-07-26 18:59:45 +02:00
leonarski_fandClaude Opus 5	a704a2cd33	Viewer: draw the rendered image directly instead of via a QPixmap ... Every recolour ended with QPixmap::fromImage(), which allocates a second full-size buffer and converts the whole image into the screen format. That conversion was the largest single cost left in the colouring path. Replace QGraphicsPixmapItem with a small item that paints qimg_buffer_ with QPainter::drawImage. The buffer is already what the raster engine wants, so nothing is converted or copied. The item declares its opaque area, as the pixmap item did, so the view still skips the background fill underneath it, and it turns SmoothPixmapTransform off before drawing to keep the nearest-neighbour sampling QGraphicsPixmapItem gave us by default -- zoomed-in detector pixels stay sharp squares. GeneratePixmap is renamed RenderImage: it no longer makes a pixmap. 18.1 Mpx recolour: 22 -> 5.6 ms (28.0 ms before this series). Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>	2026-07-26 18:58:55 +02:00
leonarski_fandClaude Opus 5	0cee55f654	Viewer: drop the full-size image_rgb mirror ... GeneratePixmap wrote every pixel twice: once into the QImage and once into image_rgb. The only reader was writePixelLabels, which needs a colour for at most 5000 pixels and only above 30x zoom, so the mirror cost a W*H*3 buffer and a second store per pixel to serve a fraction of a percent of them. Read the colour back from the rendered image instead. 18.1 Mpx colouring loop: 9.5 -> 6.2 ms. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>	2026-07-26 18:56:17 +02:00
leonarski_fandClaude Opus 5	96e10fd1f0	Viewer: reuse the QImage buffer in GeneratePixmap ... The qimg_buffer_ member was added to avoid reallocating the full-size image every recolour, but GeneratePixmap still built a local QImage and the member was never referenced. Wire it up: the buffer is reallocated only when the image dimensions change. The data pointer is taken once, before the parallel loop. scanLine() is non-const and would otherwise have every worker detach the buffer at the same time, which is a data race as soon as the buffer is shared with the pixmap. 18.1 Mpx recolour: 28.0 -> 22 ms (measured on the colouring path alone). Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>	2026-07-26 18:55:22 +02:00
leonarski_fandClaude Opus 4.8	a8c1006c49	Choose min-pix-per-spot adaptively per image for serial-stills indexing ... For stills indexing the minimum-pixels-per-spot filter is now chosen per image instead of being fixed: the frame is indexed at min-pix 3/2/1 and the setting that maximises indexed-spot count weighted by indexed fraction (n_indexed^2 / n_total) is kept, then integrated once at that min-pix. The fraction factor keeps a smaller min-pix's extra spots only when the lattice actually explains them, so strong frames retain their real weak spots (extending resolution) while noise-flooded frames stay strict. The mode is selected by the presence of --min-pix-per-spot, now optional (SpotFindingSettings::min_pix_per_spot is std::optional<int64_t>): omit it for the adaptive per-image path, give a value to force a fixed min-pix. It applies only to the stills indexing path -- rotation indexing builds one global lattice and keeps a fixed min-pix, and the online receiver and the FPGA host path always carry a concrete value, so neither changes. IndexAndRefine::ProcessImage now returns whether the frame indexed, to drive the per-image selection. Exposed in the jfjoch_viewer spot-finding settings (adaptive-threshold and adaptive-min-pix checkboxes, each greying out the control it overrides); the broker uses neither. Validated on the full rotation regression battery (no regression) and the whole serial-stills target battery at full image count. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>	2026-07-26 18:31:35 +02:00
leonarski_fandClaude Opus 4.8	9fdeed282a	Add fused GPU adaptive spot finder (azint + spot finding in one pass) ... AdaptiveSpotFinderGPU does the per-resolution-ring reduction once on the GPU and drives both products from it: the azimuthal-integration profile (corrected space) and the self-calibrating adaptive spot-detection threshold (raw counts). This replaces the separate GPU azint pass and the host-side adaptive spot finder that runs on the GPU path today. On a ~4.5 MP detector it does both jobs in ~1 ms/frame versus ~40 ms for the CPU adaptive finder (~42x), with an identical spot list and azimuthal profile. The per-ring threshold math (Poisson tail + read-floored Gaussian, operating point from the false-pixels-per-frame knob) is factored into AdaptiveThreshold.h so the CPU and GPU finders share one source of truth and cannot drift. Wired opt-in via a MXAnalysisWithoutFPGA constructor flag, default on for the rugnux offline path and the interactive viewer, off for the online receiver (so the broker path is unchanged). When on, Analyze() skips the separate azint pass and lifts the profile from the fused engine. The viewer gains an "Adaptive threshold" checkbox that greys out the signal/noise and photon-count sliders (the adaptive finder uses neither). Dedicated tests exercise both products (spot-finding parity vs the CPU finder, azimuthal profile vs a standalone GPU azint) plus a speed benchmark. Validated end-to-end on lysozyme serial stills: fused == CPU-adaptive index rate and merge stats. Docs: new section 3.2 in docs/CPU_DATA_ANALYSIS.md. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>	2026-07-25 20:10:45 +02:00
leonarski_fandClaude Opus 4.8	014e43a4c9	Remove non-helping stills merge/scaling knobs ... Trims three opt-in stills parameters that did not improve data quality on the external-reference (PDB R-free) battery and only added code: - --partiality-uncertainty: the (1-p)/p merge-sigma term was null on all four serial-stills datasets of the battery vs their reference structures (and neutral-to-harmful at higher coefficients); removed the flag, setting and CorrectedSigma term. - --stills-modulation: the detector-plane flat-field surface was net-negative on flooded data; removed the flag, setting and MergeOnTheFly::RefineModulation (the rotation modulation in RotationScaleMerge is unaffected). - --min-indexed-fraction: every value other than the 0.20 default collapsed CC1/2; removed the override flag/setter, keeping the fixed 0.20 acceptance floor. Default behaviour is unchanged (all three were off / at their default). Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>	2026-07-25 17:40:48 +02:00
leonarski_fandClaude Opus 4.8	20bbcb1cd3	Remove --soft-weight and --local-snr spot-finder options ... Both were opt-in adaptive-spot refinements that did not help. Soft per-spot weighting was index-rate neutral across the battery (re-ranking only bites when spots exceed the max-spot cap, which weak serial data does not reach). The local-SNR gate was neutral on index rate and degraded merged CC1/2 on flooded XFEL data. Drops the flags, ApplyWeights/FilterByLocalSNR, the per-spot weight field, and the by-weight FilterSpotsByCount branch (now strongest-first only). --adaptive-spots itself is unchanged. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>	2026-07-25 17:31:35 +02:00
leonarski_fandClaude Opus 4.8	f72b4484e2	Remove dead per-crystal deltaCChalf rejection ... Drops the --reject-delta-cchalf flag and MergeOnTheFly::DeltaCChalfReject. The CLI value was parsed but never consumed (the method had no call site), so the flag was already a no-op. Wiring it up and testing against an external reference structure showed it is confirmation bias: on a spurious-crystal flood it raised internal CC1/2 while CCref (correlation to the true structure) fell, and it never improved R_meas. The merge weights are already correct; per-crystal merge-side rejection has no genuine lever here. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>	2026-07-25 15:05:06 +02:00
leonarski_fandClaude Opus 4.8	ecf79af018	Remove threshold-free persistence spot-detection variant ... Drops --persistence-spots and AdaptiveSpotFinderCPU::RunPersistence (the 0-D topological-persistence detector added in 5a33b0743). It was a research variant that never beat the hard-threshold adaptive detector on a CC1/2 basis and is a GPU dead-end (global candidate sort + union-find), so it is not a production path. The hard-threshold --adaptive-spots detector is unaffected. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>	2026-07-25 12:41:44 +02:00
leonarski_fandClaude Opus 4.8	ca7cbe206a	Add opt-in local-SNR spot gate and acceptance-fraction knob (serial stills) ... Two opt-in tools for weak serial-stills tuning; both default-off, so the default pipeline is bit-identical (verified: a serial-stills reference run reproduces HEAD's 7.85% indexing rate exactly). --local-snr <sigma> (AdaptiveSpotFinderCPU::FilterByLocalSNR): after the loose per-ring adaptive threshold builds connected-component spots, drop any spot that does not stand this many sigmas above its OWN LOCAL background (robust median/MAD of a square annulus), not just the azimuthal ring mean. On structured-background (XFEL) frames the ring mean underestimates the local diffuse level in some sectors, so the ring threshold floods; a real Bragg peak still stands many local sigmas proud. Validated on XFEL stills to separate real peaks from flood at the pixel level (real median local-SNR ~70 vs flood ~2.6; SNR>=5 keeps ~99.8% of real peaks, ~14% of flood). GPU-portable (a per-spot local reduction). NOTE: on the current serial-stills battery it is index-rate/CC1/2 neutral -- the flood that survives as CC clusters overlaps weak-real spots, and only lattice-fit separates those -- but it is the correct tool for genuinely floody data (ice/jet/loosened detector) and the right substrate for the online FPGA path. --min-indexed-fraction <f>: exposes the previously hardcoded 0.20 minimum indexed-spot fraction (AnalyzeIndexing) as a per-run setting. Lowering it admits weaker/sparser crystals; on flooded XFEL data the extra lattices are spurious (pair with --min-image-cc to gate them), on clean synchrotron data there are no marginal frames so it is a no-op -- useful as a gating-experiment primitive. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>	2026-07-24 11:12:22 +02:00
leonarski_fandClaude Opus 4.8	503bd36738	Apply --min-image-cc merge-consistency filter on the stills merge path ... The per-image CC-to-reference filter (--min-image-cc) was only honoured on the rotation merge; the stills merge added every crystal unconditionally. Extend it to stills so the flag is meaningful there too: on flooded frames that produce many spurious lattices (large-cell serial data), the crystals whose per-image CC to the reference falls below the limit are dropped, keeping only the coherent ones in the merge. Opt-in and default-off (limit 0 -> the loop passes cc_filter=false and the merge is bit-identical to before), so no existing behaviour changes. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>	2026-07-24 08:41:48 +02:00
leonarski_fandClaude Opus 4.8	17eed80ff9	Seed still indexing with the strongest spots; refine with all ... On flooded or noisy still frames (weakly-diffracting detectors, XFEL background, ice) the full spot list derails the known-cell indexer: its many spurious peaks compete with the true reflections for the search, so genuinely diffracting frames fail to index. Seed the indexer with a few spot-count subsets (30 / 80 / all) and keep the lattice that explains the largest FRACTION of its own seed -- a lean, clean seed that a good lattice indexes almost fully beats a flooded seed it fits only in small part. This auto-selects a lean seed on noisy frames and the full seed where the extra spots are real signal, with no per-dataset setting. Geometry refinement and integration still use the full spot list (the orientation refiner filters spots by lattice match, so the flood is ignored while high-resolution spots are kept), so resolution is preserved. Costs at most ~3 indexer calls per frame, only on frames that do not index on the first, lean seed. Lifts the indexed-crystal yield on mildly-flooded synchrotron serial data with no regression elsewhere. Stills only; the rotation indexing path is unaffected. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>	2026-07-24 00:07:24 +02:00
leonarski_fandClaude Opus 4.8	7c5bedfd74	Add soft per-spot quality weighting for adaptive spot detection ... Add --soft-weight (implies --adaptive-spots): give every detected spot a continuous quality weight in (0,1] and keep the highest-weight spots rather than the brightest, so a deliberately loose detector self-cleans -- bright ice / salt / jet blobs and single-pixel noise no longer evict faint clean Bragg spots from the max-spots cut. The weight is a product of dimensionless gates (AdaptiveSpotFinderCPU::ApplyWeights, computed against the per-ring background the adaptive finder already builds): a logistic ramp in the spot's SNR and a soft size band (rises from one pixel, plateaus, falls for oversized ice/salt/streak blobs). It carries on DiffractionSpot -> SpotToSave and is consumed by FilterSpotsByCount, which ranks by {non-ice, weight, intensity} when requested and by intensity otherwise, so the classic and FPGA paths are unchanged. Honest result: on the serial-stills battery this is index-rate-NEUTRAL. The weighted ranking only changes the outcome when the spot count exceeds the max-spots cap and the weight disagrees with intensity in a way that affects indexing; the adaptive detectors already produce clean spot lists and the weak sets sit under the cap, so re-ranking is a wash there (and a wash, not a regression, on the one set that floods). Its intended benefit -- robustness to ice/jet-contaminated frames and to a loosened detector -- is not exercised by this battery; kept opt-in as the substrate for that. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>	2026-07-23 19:53:55 +02:00
leonarski_fandClaude Opus 4.8	6de03bc443	Add threshold-free persistence variant of adaptive spot detection ... Add --persistence-spots, a second parameter-free detector alongside --adaptive-spots. Instead of a hard per-ring threshold it builds the noise-normalised image z = (I - ring_mean) / sqrt(ring_sigma^2 + read^2) (same per-ring background as the hard variant) and scores every intensity maximum by its 0-D topological persistence: sweeping the height from high to low, each maximum is born and, when its basin meets a taller one at a saddle, dies with persistence = birth - saddle, in sigma. A lone noise spike merges into the background almost immediately (persistence ~1 sigma); a real peak stands many sigma proud. Emitting maxima whose persistence clears the same z(E) significance bar needs no photon threshold and no min-pix, and it deblends touching peaks (each keeps its own maximum). Implemented with the same union-find idiom as the connected-component labeller. On serial stills this auto-adapts with no per-dataset tuning like --adaptive-spots, finding fewer but cleaner (deblended) spots; the hard-threshold variant remains more sensitive on the very weakest data. Both share the per-ring background and read-noise floor. comp_of is allocated lazily so the default and hard-adaptive paths pay nothing. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>	2026-07-23 17:38:18 +02:00
leonarski_fandClaude Opus 4.8	9a8c946555	Add self-calibrating adaptive spot detection for offline stills ... The offline CPU spot finder marks a pixel strong when it clears a fixed photon count AND a local-window SNR. The fixed photon floor forces per-dataset tuning: its sweet spot tracks the background level (weak sets want a low threshold, strong or high-background sets a high one) and the usable window is narrow, so users hand-tune --spot-threshold/--spot-sigma per dataset. Add an opt-in --adaptive-spots mode (AdaptiveSpotFinderCPU) that replaces the fixed floor with a per-resolution-ring threshold derived from each image's own noise. Per ring it computes a peak-excluded background mean and sigma (one plain pass + two sigma-clip passes over the assembled photon image, binned by the azimuthal-integration ring index) and sets thr = max( PoissonTail(mean, p), mean + z * sqrt(sigma^2 + read^2) ) with p = false_pixels_per_frame / n_pixels the single portable knob (default 100) and z = Phi^-1(1 - p). The Poisson arm is the correct significance where the background is countable (it carries the sqrt(mean) shot noise, so a bright low-resolution ring gets a high threshold); the read-noise-floored Gaussian arm keeps the threshold physical where the background vanishes (empty high-resolution rings), without which those rings flood. read is a detector-level constant, not a per-dataset knob. Both arms are needed: Poisson alone floods near-zero background, Gaussian alone drops the shot-noise term and under-thresholds bright rings. One --adaptive-spots setting then adapts across a wide range of serial datasets with no per-dataset threshold, matching or beating hand-tuned thresholds and the peakfinder8/xgandalf reference on both weak large-cell and strong serial data, with equal merged R-free. The finder runs on the CPU (offline/viewer path) and reads the host image, which the GPU pipeline already keeps in sync, so it works in either build. The default (non-adaptive) path and the online/FPGA path are unchanged. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>	2026-07-23 17:23:19 +02:00
leonarski_fandClaude Opus 4.8	1a2b0181a5	Add physical partiality post-refinement for stills (default on) ... Replace the frozen scalar-sigma stills partiality with a physical, refined model. Per crystal, refine an orientation tilt (dpsi_x, dpsi_y) against the running merge and recompute each reflection's partiality analytically from the refined geometry (angular Ewald-proximity model, sigma(d*) = gamma_e*d*), with the per-crystal scale G profiled out by the existing robust IRLS - no re-integration. A soft Gaussian prior on dpsi tames weak-data overfit while staying inert on strong data. The merge <-> refine loop iterates a few times. This is now the stills default via ScalingSettings::stills_partiality_refine (on). A single opt-out flag `--simple-stills` reverts to treating every reflection as a full (p=1, single pass). Retires the experimental `--still-partiality` flag. The viewer gains a "Partiality post-refinement (stills)" checkbox in Scaling settings. Validated (integrate-once / --scale): CC1/2 and R_meas both improve on three monochromatic serial-stills datasets (+2.8 / -10, +5.6 / -3.4, +2.1 / -4); neutral on a pink-beam DMM set (already-full reflections); R-free/R-work down vs a fixed model; competitive with CrystFEL partialator on matched frames. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>	2026-07-23 14:45:43 +02:00
leonarski_fandClaude Opus 4.8	cbc6a85157	Debias stills merge with expected-variance weighting ... The serial-stills merge (MergeOnTheFly::CorrectedSigma) weighted each observation by 1/sigma^2 using the observation's OWN sigma. Below ~1 photon the Poisson signal part of that sigma correlates with the observation's up/down fluctuation, so the inverse-variance mean is biased low: an up-fluctuated observation acquires a larger sigma and is over-downweighted. The rotation combine (RotationScaleMerge:: process_rawrun) already avoids this by rebuilding the signal variance at the pooled estimate; the stills path did not. Decompose each observation's variance into a background/read part (kept per-observation) and a Poisson signal part, and rebuild the signal part at the reflection's expected <I>. Bit-identical when an observation sits at its reflection mean; only weak-shell weights move. Now default on, so the stills path matches the rotation path; --no-expected-variance-merge restores the old observed-sigma weighting. Validated by paired refinement (phenix, 5 free-set seeds, byte-identical free flags across arms): R-free-neutral on strong lysozyme and lower R-free on weak serial-stills data checked against an independent deposited model (6/6 seeds). The CC1/2 dip on strong data reflects precision, not accuracy. Applies to both offline rugnux and the online broker stills merge. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>	2026-07-22 22:50:25 +02:00
leonarski_fandClaude Opus 4.8	c52886c8ff	Guard degenerate asymptotic-ISa fit on low-multiplicity data ... On very-low-multiplicity data (e.g. EP_cs_01-24, mult ~1.4) the merge has too few symmetry equivalents to measure the asymptotic I/sigma: both the (a, b) error-model fit and the per-group strong-reflection scatter collapse toward zero, so 1/error_model_b_asymptotic either explodes to an impossibly high ISa (tiny positive b) or is left as 0. Real macromolecular data does not exceed ISa ~50, so clamp the reported asymptote at a generous cap (ISa 100) and treat anything past it as unmeasured (result.isa undetermined) rather than emitting a spurious extreme. No-op for all well-measured data (b_asy well above the cap). Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>	2026-07-21 23:02:40 +02:00
leonarski_fandClaude Opus 4.8	81dbf9a385	Fix empty spot-plot and resolution percentile in SpotAnalyze ... GenerateSpotPlot iterated msg.spots, but SpotAnalyze called it before assigning output.spots. In the online path the DataMessage is fresh per frame, so the plot was built from an empty list and spot_plot_intensity / spot_plot_count came out all zeros. Pass the finished spots vector explicitly instead of relying on the field being set: the live path passes the full pre-truncation list, the HDF5 read-back path passes message.spots. GetResolution scaled the 5th-percentile index by spots.size() (which includes ice-ring spots) while indexing the ice-filtered resolutions vector, biasing the estimate and reading out of bounds on ice-heavy frames. Index by resolutions.size() instead. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>	2026-07-21 09:53:33 +02:00
leonarski_f	67dca388bd	v1.0.0-rc.160 (#70) ... This is an UNSTABLE release. It includes many experimental features, as well as many AI generated fixes. We recommend using rc.152 for production use. * rugnux: Add `--model model.pdb` - score the merged data against an atomic model and compute initial maps. It reports R-work/R-free (scaling the model to the observed amplitudes with an overall scale, an anisotropic B and a flat bulk solvent - the standard few-parameter model, so a batch of maps stays directly comparable) and writes 2Fo-Fc / Fo-Fc electron-density maps (CCP4) plus a map-coefficient MTZ. The structure itself is not refined; the model is only re-fractionalised into the data cell. * rugnux: The merged reflection output now carries French-Wilson amplitudes (|F| and its sigma) next to the intensities - MTZ `F`/`SIGF`, mmCIF `_refln.F_meas_au`, and the text HKL - computed with the correct centric/acentric Wilson prior and epsilon multiplicity, so a downstream program (e.g. phenix.refine) can refine against amplitudes. The intensity columns are unchanged. * rugnux: R-free test-set flags are now assigned deterministically and consistently across symmetry - a Bijvoet pair I(+)/I(-) is never split between the work and free sets, and the assignment is a reproducible per-hkl hash that depends only on the reflection index, so every dataset of one crystal form gets the same ~5% free set (what a multi-dataset campaign such as PanDDA needs). On small data the fraction is floored so the test set stays large enough for a stable R-free (~500 reflections, capped at 10%); it stays flat at 5% on ordinary data. When a reference MTZ carries a `FreeR_flag` column its test set is imported instead, letting a whole campaign inherit one shared free set. * rugnux: A reference MTZ (`--reference-mtz`) can now fix the space group and cell for rotation data too (previously rejected), without being used to scale - the rotation merge stays self-consistent. When the crystal has an indexing (merohedral) ambiguity - a lattice symmetry higher than its Laue symmetry, e.g. P3/P4/P6/C2 - the reference also resolves it: each candidate reindexing (identity plus the twin-law cosets of the metric symmetry) is scored by its intensity correlation against the reference and the data are re-merged in the best-correlating one. This is a metric-preserving relabelling of hkl (the cell is unchanged) and a no-op for a holohedral crystal such as lysozyme. * rugnux: `--model` validation now aligns the data to the model before scoring - the observed reflections are reindexed into the model's enantiomorph when the two differ only by hand (indistinguishable from merged intensities). A merohedral indexing ambiguity is resolved against the reference MTZ when one is given (so a whole campaign shares one indexing convention); only with a model and no reference does validation fall back to fitting each candidate reindexing and keeping the lowest R-free. * rugnux: De-novo symmetry - recover a genuine high-symmetry group whose data are imperfectly scaled. Such a merge's within-orbit chi² lands just past the self-consistency bound (each real symmetry step adds a little systematic scatter), right where a merohedral twin also lands, so the chi² ratio alone cannot separate them. The candidate is now rescued when the extra intensity-proportional systematic error it invokes stays small relative to the confirmed subgroup - a genuine symmetry step gains multiplicity without inflating the merge error model's b, whereas a twin forces non-equivalent reflections together and b balloons. Fixes cubic insulin (I23 instead of I222) with no change to any other crystal in the test battery, including the twins that must stay in their lower symmetry. * Docs: Document the French-Wilson amplitude estimation, R-free flagging, reference-based space-group/ambiguity resolution, and model-based validation/maps in CPU_DATA_ANALYSIS.md. * Frontend: The status-bar pill now shows a progress bar during detector calibration (previously only during measurement), and the calibration state and its button are labelled "Calibration"/"CALIBRATE" (the internal `Pedestal` state name is unchanged for back-compatibility).Reviewed-on: #70 Co-authored-by: Filip Leonarski <filip.leonarski@psi.ch> 1.0.0-rc.160	2026-07-19 09:39:28 +02:00
leonarski_f	dd0bffb283	v1.0.0-rc.159 (#69) ... This is an UNSTABLE release. It includes many experimental features, as well as many AI generated fixes. We recommend using rc.152 for production use. * rugnux: Add `--model model.pdb` - score the merged data against an atomic model and compute initial maps. It reports R-work/R-free (scaling the model to the observed amplitudes with an overall scale, an anisotropic B and a flat bulk solvent - the standard few-parameter model, so a batch of maps stays directly comparable) and writes 2Fo-Fc / Fo-Fc electron-density maps (CCP4) plus a map-coefficient MTZ. The structure itself is not refined; the model is only re-fractionalised into the data cell. * rugnux: The merged reflection output now carries French-Wilson amplitudes (|F| and its sigma) next to the intensities - MTZ `F`/`SIGF`, mmCIF `_refln.F_meas_au`, and the text HKL - computed with the correct centric/acentric Wilson prior and epsilon multiplicity, so a downstream program (e.g. phenix.refine) can refine against amplitudes. The intensity columns are unchanged. * rugnux: R-free test-set flags are now assigned deterministically and consistently across symmetry - a Bijvoet pair I(+)/I(-) is never split between the work and free sets, and the assignment is a reproducible per-hkl hash that depends only on the reflection index, so every dataset of one crystal form gets the same ~5% free set (what a multi-dataset campaign such as PanDDA needs). On small data the fraction is floored so the test set stays large enough for a stable R-free (~500 reflections, capped at 10%); it stays flat at 5% on ordinary data. When a reference MTZ carries a `FreeR_flag` column its test set is imported instead, letting a whole campaign inherit one shared free set. * rugnux: A reference MTZ (`--reference-mtz`) can now fix the space group and cell for rotation data too (previously rejected), without being used to scale - the rotation merge stays self-consistent. When the crystal has an indexing (merohedral) ambiguity - a lattice symmetry higher than its Laue symmetry, e.g. P3/P4/P6/C2 - the reference also resolves it: each candidate reindexing (identity plus the twin-law cosets of the metric symmetry) is scored by its intensity correlation against the reference and the data are re-merged in the best-correlating one. This is a metric-preserving relabelling of hkl (the cell is unchanged) and a no-op for a holohedral crystal such as lysozyme. * rugnux: `--model` validation now aligns the data to the model before scoring - the observed reflections are reindexed into the model's enantiomorph when the two differ only by hand (indistinguishable from merged intensities). A merohedral indexing ambiguity is resolved against the reference MTZ when one is given (so a whole campaign shares one indexing convention); only with a model and no reference does validation fall back to fitting each candidate reindexing and keeping the lowest R-free. * rugnux: De-novo symmetry - recover a genuine high-symmetry group whose data are imperfectly scaled. Such a merge's within-orbit chi² lands just past the self-consistency bound (each real symmetry step adds a little systematic scatter), right where a merohedral twin also lands, so the chi² ratio alone cannot separate them. The candidate is now rescued when the extra intensity-proportional systematic error it invokes stays small relative to the confirmed subgroup - a genuine symmetry step gains multiplicity without inflating the merge error model's b, whereas a twin forces non-equivalent reflections together and b balloons. Fixes cubic insulin (I23 instead of I222) with no change to any other crystal in the test battery, including the twins that must stay in their lower symmetry. * Docs: Document the French-Wilson amplitude estimation, R-free flagging, reference-based space-group/ambiguity resolution, and model-based validation/maps in CPU_DATA_ANALYSIS.md. * Frontend: The status-bar pill now shows a progress bar during detector calibration (previously only during measurement), and the calibration state and its button are labelled "Calibration"/"CALIBRATE" (the internal `Pedestal` state name is unchanged for back-compatibility).Reviewed-on: #69 Co-authored-by: Filip Leonarski <filip.leonarski@psi.ch> 1.0.0-rc.159	2026-07-13 13:54:03 +02:00
leonarski_f	451310f43d	v1.0.0-rc.158 (#68) ... This is an UNSTABLE release. It includes many experimental features, as well as many AI generated fixes. We recommend using rc.152 for production use. * Analysis: The azimuthal-integration solid-angle correction now follows the incidence angle to the detector normal (`cos^3` of that angle) instead of `cos^3(2*theta)`, so it is correct for a tilted detector and matches PyFAI `solidAngleArray` and MAX IV azint (unchanged for an untilted detector). Crystal geometry refinement (`XtalOptimizer`) no longer silently ignores an imported PONI `rot3` (rotation about the beam): it is applied as a fixed rotation in the residual so refinement stays consistent with the rest of the pipeline. Polarization and azimuthal binning already honoured `rot3` through the full PONI rotation. * jfjoch_viewer: Open datasets on the WSL2/UNC filesystem (paths starting `\\`); write processing outputs next to the input file, with a Browse button and independent `_process.h5` / merged `.mtz`/`.cif` toggles; and show the determined space group in the merge-statistics window. * rugnux: Accept an absolute `-o` output prefix in offline processing. * Packaging: The self-contained Linux viewer `.tgz` now bundles cuFFT, so it runs without a system CUDA toolkit (`.deb`/`.rpm` are unchanged, distro-managed). * Docs: Bring the analysis references up to date with the code. `docs/CPU_DATA_ANALYSIS.md` now reflects the unified profile-fit Bragg integration engine, multi-lattice indexing, azimuthal phi binning, the radial parallax/bandwidth profile with sub-pixel centring, the rot3d capture-fraction handling and the automatic CC1/2 resolution cutoff, and drops the descriptions of features that were never implemented (French-Wilson amplitudes, the still excitation-error partiality model); `docs/RUGNUX.md` documents the new `--resolution-cutoff`/`--resolution-cc-target`/`--resolution-shells`, `--min-captured-fraction`, `--mosaicity`, `--reference-column`, the azimuthal correction toggles and the geometry-override options, and corrects the `-N` default. The outdated in-source design notes (ICE_RING_DETECTION, BRAGG_INTEGRATION_ENGINE, NEXTGEN_INTEGRATOR) are removed.Reviewed-on: #68 Co-authored-by: Filip Leonarski <filip.leonarski@psi.ch> 1.0.0-rc.158	2026-07-12 19:42:29 +02:00
leonarski_f	54c0100e8e	v1.0.0-rc.157 (#67) ... This is an UNSTABLE release. It includes many experimental features, as well as many AI generated fixes. We recommend using rc.152 for production use. * rugnux: Rebrand the offline data-processing subsystem as `rugnux` and consolidate all offline analysis into the single `rugnux` binary - `jfjoch_process` is now `rugnux`, the former `jfjoch_azint` is now `rugnux --azint-only`, and `jfjoch_scale` is now `rugnux --scale` (see the new docs/NAMING.md and docs/RUGNUX.md). Scaling and merging are on by default for rotation and stills (`--no-merge` disables them), replacing the previous opt-in `-M, --scale-merge`. * rugnux: CLI fixes - default `-N` to all hardware threads, parse numeric option arguments strictly (reject non-numeric or trailing input instead of silently yielding 0), require `--wavelength > 0`, and correct the reproduced command line and `--scale` reference-cell handling. * rugnux: De-novo space-group improvements - recover genuine high symmetry and centred Bravais lattices from intensities, add an automatic CC1/2 high-resolution cutoff, and report L-test twinning statistics. * rugnux: Index weakly-diffracting low-resolution rotation data that previously failed (e.g. F-cubic crystals that diffract only to ~4 A on a detector reaching ~1.5 A). The per-frame indexing gate now measures the indexed fraction only within the resolution range the lattice actually diffracts to, so the many sub-diffraction ice/noise spots no longer make the fraction floor unreachable; the two-pass first pass tries several image-sampling schemes (spread across the whole rotation vs a consecutive wedge whose native stride keeps a reflection's rocking curve continuous, letting the FFT resolve a long axis) and keeps the one that indexes the most frames; and the de-novo space-group search no longer discards all reflections (and crashes) when every resolution shell falls below <I/sigma> = 1. * rugnux: Lower the low-resolution R-meas for strongly-diffracting rotation data - drop edge-of-sweep truncated fulls whose rocking curve was captured below `--min-captured-fraction` (default 0.7 for rotation), and report R-meas only over the observations kept by outlier rejection (matching XDS). The 0.7 default also strips the partiality-extrapolated fulls that dominate the intensity second moment on weakly-diffracting crystals, so the de-novo space-group search is no longer starved by the error-model I/sigma floor and recovers the correct symmetry (e.g. the F-cubic Benas crystals: Benas_3 -> F432, Benas_7 -> P6122, instead of P4/P1); on the reference battery every other crystal keeps its space group. * rugnux: Write the refined geometry (beam, tilt, axis) to _process.h5 and place non-standard mmCIF items under a reserved `jfjoch` prefix. * jfjoch_broker: Ordinary acquisition failures (receiver/writer/analysis problems, missed packets, writer disconnect) now return to the Idle state with an Error-severity message, so a run can be retried without an expensive re-initialisation; only failures that leave the detector in an undefined state (new JFJochCriticalException, e.g. PCIe/FPGA faults) go to the Error state and force re-initialisation. * jfjoch_broker: A synchronous /start now reports its failure to the HTTP caller instead of returning HTTP 200, and an incomplete or truncated dataset (missing packets, writer disconnect) is reported as an error rather than a "reduce frame rate" warning. * jfjoch_broker: Drop uncollected placeholder rows (number = -1) from the scan_result REST endpoint. * jfjoch_broker: Fix the inverted per-image compression ratio reported by the Lite receiver (was compressed/uncompressed instead of uncompressed/compressed). * jfjoch_broker: Bragg integration adds a quantization-noise variance floor with a box-sum fallback, and treats the type-maximum marker as an invalid pixel for unsigned image types. * jfjoch_writer: Detect file-overwrite conflicts at start for back-channel transports, and reset the writer when end-of-collection finalisation fails. * jfjoch_viewer: Preview overlays follow the geometry (resolution/ROI arcs, true beam centre, predictions, coral secondary-lattice spots, legend), add save-as-JPEG, and fix an HTTP live-follow memory leak. * Frontend: Improved aesthetics and usability, and added in-browser pixel-mask and JUNGFRAU-pedestal visualisation. * CI: Name the Windows installer jfjoch-viewer-* instead of jfjoch-*.Reviewed-on: #67 Co-authored-by: Filip Leonarski <filip.leonarski@psi.ch> 1.0.0-rc.157	2026-07-11 07:19:11 +02:00
leonarski_f	d6389e12da	v1.0.0-rc.156 (#66) ... This is an UNSTABLE release. It includes many experimental features, as well as many AI generated fixes. We recommend using rc.152 for production use. * jfjoch_process: Major rotation (rot3d) data processing overhaul - robust profile-fit integration, Cauchy-loss scaling with optional absorption surface, de-novo indexing and space-group/centering determination fixes, and merging statistics + ISa in the mmCIF output. * jfjoch_process: Add EXPERIMENTAL ice-ring detection (--detect-ice-rings) that excludes ice reflections from scaling. * Compression: Add BSHUF_ZSTD_RLE_HUFF, make compression size-aware (drop frames that don't fit rather than aborting), and add the jfjoch_recompress tool. * jfjoch_viewer: Report "Multiple lattices detected" and grey out "Analyze dataset" on a live connection. * jfjoch_broker: Write smargon chi/phi goniometer positions to NXmx; read sensor thickness/material from HDF5 metadata. * CI: Build Windows (CUDA and non-CUDA) installers.Reviewed-on: #66 Co-authored-by: Filip Leonarski <filip.leonarski@psi.ch> 1.0.0-rc.156	2026-07-03 19:18:56 +02:00