3 Commits

Include renames

Author	SHA1	Message	Date
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	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_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>	2026-07-03 19:18:56 +02:00