Convert TSV (tag separated value) files to HDF5.
HDF5 dataset paths are set in a way to ensure one-way compatibility with how pandas writes HDF5 files (pandas won't be able to read files created by this application. But other applications in this repo are compatible with HDF5 files created by pandas)

Convert TSV (tag separated value) files to Cap'n'Proto messages as defined in ../schemes/tags.capnp.
Output is optionally zstandard-compressed.

Reads TSV, HDF5, (zstandard compressed) Cap'n'Proto files and creates coincidence histograms.
You can configure it by setting values in the file histogram.cfg, e.g.

num_threads=8
hist_start=20992
hist_stop=22912
hist_step=6
patterns={{21, 49}, {29,49}}
truncate=0
tagger_resolution=0.015625

num_threads : Histogram generation is OpenMP multithreaded. This defines the number of threads to use

tagger_resolution : Your timetagger resolution in nanoseconds

hist_start, hist_stop, hist_step : Beginning, end, and resolution of histogram (delay between two channels)

truncate=n : Only use the first n seconds present in your tagfile for analysis

patterns : List of coincidence patterns for which histograms will be created. Each pattern itself is a list of two channel numbers

See scripts/plothistogram.py for example usage in python.

• HDF5
• Boost
• Protobuf
• CapnProto
• fmtlib

./mkproto
mkdir build
cd build
cmake ..
make