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0001 # CCL data generator
0002
0003 This little Python tool is designed to generate example data for connected
0004 component analysis and labeling problems. While the data generated from this
0005 tool is not meaningful from a physics perspective, it exposes the most
0006 important parameters from a computational performance point of view.
0007
0008 The configurable parameters are as follows:
0009
0010 * Number of detector modules
0011 * Size of each detector module (assumed to be square)
0012 * Mean hits per module
0013 * Variance of hits per module
0014 * Mean cells per hit
0015 * Variance of cells per hit
0016
0017 ## Generating test files
0018
0019 An example run of this program looks like this:
0020
0021 ```
0022 $ python3 ccl_generator.py -N 1000 -S 5000 --Mm 1.65 --Ms 0.95 --Hm 1.8 --Hs 0.89 -C 100 -o my_run
0023 ```
0024
0025 This will generate one hundred files, in the format `my_run_0000000000.csv` and
0026 so on. The files should in a CSV format readably by traccc.
