Neural Net Solutions to reconstructing particle tracks in MicroBooNE
This repository is designed to develop a DL NN solution to reconstructing particle tracks in either 2D or 3D in MicroBooNE's LArTPC detector. Contact [email protected] or [email protected] for inquiries.
Very broadly, the repository is broken into 3 files:
DataLoader.py - This is responsible for loading in the ROOT objects and transforming them into Net Inputs
TrackerWalkerTest.py - This file contains the network model, and a script to run the network. Call with python TrackerWalkerTest.py
MiscFunctions.py - All custom functions outside those living in UBDL are placed in MiscFunctions.py
Special Requirements: UBDL: https://github.com/LArbys/ubdl/ ROOT: https://root.cern/