rugnux finds the beam stop and its holder in a projection of 60 images and
marks them in the pixel mask as bit 9 (--detect-beam-stop[=N|off], on by
default). Reflections behind the stop are attenuated but not flagged, so they
integrate low with a plausible sigma and nothing downstream catches them: the
signal-box gate requires 100% valid pixels and shadow pixels are valid, the
background clip is high-side only, and the |zeta| cut applies only to the
space-group search merge.
The detection compares each pixel's background against the typical background
at the same radius on two channels. An azimuthal one (the ring median) finds
the holder arm, which is a minority of its ring; a radial one (the background
just outside) finds the disk, which the ring median cannot see because inside a
fully blocked ring the median is the shadow itself. Pixels are pooled over a
5x5 box and tested only where the background has actually been counted, so
low-background data no longer masks the whole detector. Recorded reflections
are carved back out - a beam stop cannot block a reflection that was measured.
Bit 9 belongs to the run that found it, not to the dataset: it is cleared when
a run starts, so a mask read back from a file that carries one starts clear.
The user mask (bit 8) is left alone.
Scaling and merging gain a low-resolution limit, default 50 A
(--scaling-low-resolution <num>, 0 removes it), applied per observation before
scaling so it also protects the per-frame scale fit and the space-group search.
50 A is the value XDS configurations use; rugnux_vs_xds.py now matches both of
XDS's resolution limits instead of only the high one, so the lowest shell is
the same shell in the two programs.
The viewer draws the detected shadow in coral with a "Show beam stop" switch in
the side panel, exposes the low-resolution limit in the settings dock, and
offers detection in its processing jobs. Adding an image marker meant giving
the reader a MIN_REAL_PXL_VALUE, because several places classify a pixel by
range rather than by equality and would otherwise read the new marker as a very
negative intensity.
Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
This is an UNSTABLE release. The release has significant modifications for data processing - in case of troubles go back to 1.0.0-rc.144.
* jfjoch_broker: Improve azimuthal integration (add <I^2> calculation)
* jfjoch_broker: Fixes around indexing, aiming to handle multi-lattice crystals (work in progress, it is not fully integrated)
* jfjoch_writer: Save mean(I), stddev(I), and count(I) for each azimuthal bin
Reviewed-on: #58
This is an UNSTABLE release. This version significantly rewrites code to predict reflection position and integrate them,
especially in case of rotation crystallography. If things go wrong with analysis, it is better to revert to 1.0.0-rc.123.
* jfjoch_broker: Improve refection position prediction and Bragg integration code.
* jfjoch_broker: Align with XDS way of calculating Lorentz correction and general notation.
* jfjoch_writer: Fix saving mosaicity properly in HDF5 file.
* jfjoch_viewer: Introduce high-dynamic range mode for images
* jfjoch_viewer: Ctrl+mouse wheel has exponential change in foreground (+/-15%)
* jfjoch_viewer: Zoom-in numbers have better readability
Reviewed-on: #31
Co-authored-by: Filip Leonarski <filip.leonarski@psi.ch>
Co-committed-by: Filip Leonarski <filip.leonarski@psi.ch>
This is an UNSTABLE release.
* jfjoch_broker: Use newer version of Google Ceres for (potential) CUDA 13 compatibility
* jfjoch_broker: Improve performance of generating preview images, especially for large detectors (9M-16M)
* jfjoch_viewer: Improve performance of displaying images, especially for large detectors (9M-16M)
* jfjoch_viewer: Add more color schemes for better image readability
* HDF5: Common mutex for reading and writing HDF5 if both operations were to happen in the same executable
* HDF5: suppress warning if path (upstream group) doesn't exists when checking if leaf exists
Reviewed-on: #30
Co-authored-by: Filip Leonarski <filip.leonarski@psi.ch>
Co-committed-by: Filip Leonarski <filip.leonarski@psi.ch>