2.4 KiB
Release notes
2025.11.21
New Features:
-
Added SPDX-License-Identifier: MPL-2.0 to source files
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Calculate Eta3 supports all cluster types
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interpolation class supports using cross eta3x3 and eta3x3 on full cluster as well as eta2x2 on full cluster
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interpolation class has option to calculate the rosenblatt transform
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reduction operations to reduce Clusters of general size to 2x2 or 3x3 clusters
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max_sum_2x2including index of subcluster with highest energy is now available from Python API -
interpolation supports bilinear interpolation of eta values for more fine grained transformed uniform coordinates
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Interpolation is documented
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Added tell to ClusterFile. Returns position in bytes for debugging
Resolved Features:
- calculate_eta coincides with theoretical definition
Bugfixes:
- eta calculation assumes correct photon center
- eta transformation to uniform coordinates starts at 0
- Bug in interpolation
- File supports reading new master json file format (multiple ROI's not supported yet)
API Changes:
- ClusterFinder for 2x2 Cluster disabled
- eta stores corner as enum class cTopLeft, cTopRight, BottomLeft, cBottomRight indicating 2x2 subcluster with largest energy relative to cluster center
- max_sum_2x2 returns corner as index
2025.8.22
Features:
- Apply calibration works in G0 if passes a 2D calibration and pedestal
- count pixels that switch
- calculate pedestal (also g0 version)
- NDArray::view() needs an lvalue to reduce issues with the view outliving the array
Bugfixes:
- Now using glibc 2.17 in conda builds (was using the host)
- Fixed shifted pixels in clusters close to the edge of a frame
2025.7.18
Features:
- Cluster finder now works with 5x5, 7x7 and 9x9 clusters
- Added ClusterVector::empty() member
- Added apply_calibration function for Jungfrau data
Bugfixes:
- Fixed reading RawFiles with ROI fully excluding some sub files.
- Decoding of MH02 files placed the pixels in wrong position
- Removed unused file: ClusterFile.cpp
2025.5.22
Features:
- Added scurve fitting
Bugfixes:
- Fixed crash when opening raw files with large number of data files
Download, Documentation & Support
Download
The Source Code: https://github.com/slsdetectorgroup/aare
Documentation
Documentation including installation details: https://github.com/slsdetectorgroup/aare
Support
erik.frojdh@psi.ch
alice.mazzoleni@psi.ch
dhanya.thattil@psi.ch