leonarski_fandClaude Opus 5.5
fd798cd665
Spot finding works panel by panel, as the FPGA path does per JUNGFRAU module. PanelBoxes (common/) gives one box per DetectorModule; an empty table gives one box, the whole image, so every clamp reduces to the old image bounds in the same evaluation order (rotation sets, EIGER, CCDs, our JUNGFRAU unchanged). - ImageSpotFinder::SetPanels: the CPU local-box pass (dense, count-threshold and the DetectAt/candidate path of the adaptive finder) slides its windows inside each panel box; host CCL labels panel by panel; pixels on no panel are folded into the resolution mask. - GPU: analyze_pixel tiles each panel (warps numbered panel after panel), analyze_candidates and union_neighbours clip to the pixel's panel, the device spot carries its panel; the GPU list is put in panel order so it equals the host's. - DiffractionSpot carries its panel; SpotAnalyze maps by ImageToPlane(panel, ...) (d_A on the plane). - ImagePreprocessorBuffer::GatherTiles (CPU+GPU) clips each square to the panel of its centre. - MXAnalysisWithoutFPGA and the pre-scan workers hand the module table to finders and buffers. Raster algorithms: new common/AssembleToPlane.h (PlaneRasterOf, AssembleToPlane nearest-pixel gather with gaps, GatherFromPlane back to stored pixels; empty table = copy). With panels, ShadowFinder::GetMask runs on the projection assembled to the plane raster and gathers the mask back per stored pixel (CPU route); FindBeamCenterFFT scores the assembled projection and reports plane coordinates; the detector diagnostic JPEG shows the assembled plane. Without panels all three take their old path. Harness: PanelLayout_SpotsNeverCrossPanels enabled (count threshold and SNR on the edge scene), new PanelLayout_SpotFinderParity (CPU vs GPU, local box and adaptive, on the stacked layout), PanelLayout_AssembleToPlane, PanelLayout_ShadowFinder, PanelLayout_BeamCenterFFT, PanelLayout_DetectorDiagnostic (stacked vs assembled image cut to the raster). Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_015CeEGgpKdfkCTJb3YNMJcu
Jungfraujoch
Application to receive and analyse data from the PSI JUNGFRAU and EIGER detectors, together with
rugnux, its program for processing stored diffraction data - rotation and serial, macromolecular
and small-molecule - from images to merged reflections.
All documentation is now placed in docs/ subdirectory and for the current version hosted on Jungfraujoch Read The Docs page.