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The first pass sampled min(n, max(refine_frames * 50, 8000)) images to keep the 200 strongest, so any serial run of 10000 frames or fewer indexed every frame TWICE - and 99.3% of the pass was that sampling, the bundle adjust itself taking 0.24 s. The budget is sized for a low-hit-rate dataset; on data that indexes well almost all of it was wasted. Stop once four times the bundle size has been found, which still leaves the "strongest N" selection a real pool and still spans the run, because the sample is equally spaced. On a lysozyme jet dataset that is 1500 frames examined instead of 4000, the same 200 bundled, and the same refined geometry - beam and distance to the pixel, cell to 0.01 A. Warm cache: the pass drops 33 s -> 9.1 s and the whole run 65 s -> 35 s, with CC1/2 and R-meas unchanged inside replicate noise. Stills only - rotation has its own two-pass and returns from this function early. 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.
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