leonarski_fandClaude Opus 5
f4e281b2f5
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>
Jungfraujoch
Application to receive data from the PSI JUNGFRAU and EIGER detectors.
All documentation is now placed in docs/ subdirectory and for the current version hosted on Jungfraujoch Read The Docs page.