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Python code to create graphs from ROOT files to train a GNN for ghost/crosstalk identification in the SuperFGD. Also contains the second part of the Interface, i.e. reading the GNN output and creating ROOT files to be read in the ND280 software.

Legacy code for the ToF DAQ

MIDAS front end for the ToF slow control system

Bash environment scripts for the DAQ and SC computers

Demo for data monitoring with the ROOTAna lib

MIDAS front end for the ToF slow control system

Simple C++ Option Parser

scripts and config files for the sFGD FEB GUI