Processing TP Streams

process_tpstream.cxx (and the application trgtools_process_tpstream) processes a timeslice HDF5 that contains TriggerPrimitives and creates a new HDF5 that also includes TriggerActivities and TriggerCandidates. The primary use of this is to test TA algorithms, TC algorithms, and their configurations, with output diagnostics available from ta_dump.py and tc_dump.py. The application also outputs the latencies per-tp for TA emulation, and per-TA for TC emulation, into a CSV file, if --latencies option is added. The CSV is the format: row as a TP (TA) for TA(TC) emulation, with time_start, adc_integral, processing time, and whether it was TP that closed TA (1) or not (0).

Example

trgtools_process_tpstream -i input_file.hdf5 -o output_file.hdf5 -j algo_config.json -m VDColdboxTPCChannelMap --quiet

trgtools_process_tpstream --latencies -i input_file.hdf5 -o output_file.hdf5 -j algo_config.json

In the second case, the default map will be VDColdboxTPCChannelMap. The DUNE-DAQ/detchannelmaps repository has a table of available channel maps.

Algorithm Configuration

An example algo_config.json file with an explanation is provided HERE.

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Last git commit to the markdown source of this page:

Author: MRiganSUSX

Date: Thu May 29 20:29:53 2025 +0200

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