v1.0.0-rc.179 (#90)
Build Packages / Create release (push) Successful in 8s
Build Packages / build:portable:macos-arm64:nocuda (push) Successful in 5m11s
Build Packages / build:rugnux:linux-aarch64:cuda (push) Successful in 10m32s
Build Packages / build:portable:linux-x86_64:nocuda (push) Successful in 18m26s
Build Packages / build:portable:linux-x86_64:cuda (push) Successful in 22m11s
Build Packages / build:jfjoch:ubuntu2204:nocuda (push) Successful in 23m32s
Build Packages / build:portable:windows-x86_64:nocuda (push) Successful in 25m36s
Build Packages / build:jfjoch:rocky8:nocuda (push) Successful in 27m28s
Build Packages / HDF5 consumer tests (DIALS, XDS) (push) Successful in 28m10s
Build Packages / build:jfjoch:rocky9:nocuda (push) Successful in 28m10s
Build Packages / build:portable:windows-x86_64:cuda (push) Successful in 29m24s
Build Packages / build:jfjoch:ubuntu2404:nocuda (push) Successful in 21m45s
Build Packages / Generate python client (push) Successful in 31s
Build Packages / Build documentation (push) Successful in 1m21s
Build Packages / build:jfjoch:rocky8:cuda-sls9 (push) Successful in 24m2s
Build Packages / build:jfjoch:rocky9:cuda-sls9 (push) Successful in 29m25s
Build Packages / build:jfjoch:rocky8:cuda (push) Successful in 30m27s
Build Packages / build:jfjoch:ubuntu2204:cuda (push) Successful in 27m12s
Build Packages / build:jfjoch:ubuntu2404:cuda (push) Successful in 32m20s
Build Packages / build:jfjoch:rocky9:cuda (push) Successful in 33m36s
Build Packages / Unit tests (push) Successful in 2h7m18s
Build Packages / Validation Battery (push) Successful in 33m19s

* Rugnux: Stills processing needs only the unit cell and space group beyond what the file records - detector distance, beam centre, tilt, panel placement, saturation level, gain and polarisation plane are found from the images - and is up to twice as fast.
* Rugnux: Stills can be indexed without a GPU, with a CPU implementation of the fast-feedback indexer (macOS, computers without a GPU).
* Rugnux: Rotation and stills data are integrated in the detector's own units with one gain model, improving data from CCD detectors.
* Web frontend: The Rugnux live page shows the placed model with its electron density and anomalous difference map in a Mol* viewer.

Reviewed-on: #90
Co-authored-by: Filip Leonarski <filip.leonarski@psi.ch>
This commit was merged in pull request #90.
This commit is contained in:
leonarski_f authored and leonarski_f committed 2026-10-24 14:52:29 +02:00
1 parent afbe844b20
commit b00c668e3a
394 files changed
+57778 -2178

No files matched your search

+9
View File
@@ -1291,6 +1291,13 @@ static void ReadSpotsFromFiles(HDF5Object &master_file,
{master_image, 0}, {source_image, 0}, {1, spot_count}
);
// Written only for a detector with a panel table.
auto spot_panel = ReadVectorMasterFirst<int16_t>(
master_file, source_file,
"/entry/MX/peakPanel",
{master_image, 0}, {source_image, 0}, {1, spot_count}
);
message.spots.reserve(message.spots.size() + spot_count);
for (size_t i = 0; i < spot_count; i++) {
const auto x = spot_x.at(i);
@@ -1317,6 +1324,8 @@ static void ReadSpotsFromFiles(HDF5Object &master_file,
s.ice_ring = (spot_ice.at(i) != 0);
if (spot_lattice.size() > i)
s.lattice = spot_lattice.at(i);
if (spot_panel.size() > i)
s.panel = spot_panel.at(i);
message.spots.emplace_back(s);
}