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c6da36d10b
While using the cluster finder and saving a cluster, pixels which are out of bounds are skipped. cluster.data should contain the pedestal corrected ADU information of each pixel. However, the counter "i" which keeps track of the position of cluster.data is only incremented if the pixel was inside the bounds of the frame. This means that any clusters close to the frame's edges are not construed properly. This means that if you want to extract a 3x3 from a 9x9 cluster, it can fail if the cluster data is not properly centered in the pixel. Fixed by moving i++ outside the bounds check. Co-authored-by: Jonathan Mulvey <jonathan.mulvey@psi.ch>
aare
Data analysis library for PSI hybrid detectors
Build and install
Prerequisites
- cmake >= 3.14
- C++17 compiler (gcc >= 8)
- python >= 3.10
Development install (for Python)
git clone git@github.com:slsdetectorgroup/aare.git --branch=v1 #or using http...
mkdir build
cd build
#configure using cmake
cmake ../aare
#build (replace 4 with the number of threads you want to use)
make -j4
Now you can use the Python module from your build directory
import aare
f = aare.File('Some/File/I/Want_to_open_master_0.json')
To run form other folders either add the path to your conda environment using conda-build or add it to your PYTHONPATH
Install using conda/mamba
#enable your env first!
conda install aare=2024.10.29.dev0 -c slsdetectorgroup
Install to a custom location and use in your project
Working example in: https://github.com/slsdetectorgroup/aare-examples
#build and install aare
git clone git@github.com:slsdetectorgroup/aare.git --branch=v1 #or using http...
mkdir build
cd build
#configure using cmake
cmake ../aare -DCMAKE_INSTALL_PREFIX=/where/to/put/aare
#build (replace 4 with the number of threads you want to use)
make -j4
#install
make install
#Now configure your project
cmake .. -DCMAKE_PREFIX_PATH=SOME_PATH
Local build of conda pkgs
conda build . --variants="{python: [3.11, 3.12, 3.13]}"