Neural Network for Fast Radio Burst Detection
Author: Yunfan Gerry Zhang
This is an inference script for detecting FRB with a neural network. It is designed for use with the Breakthrough Listen data product at the Green Bank Telescope. The data and description used can be found at http://seti.berkeley.edu/frb-machine/
CUDA9.0 tensorflow > 1.4.0 sigpyproc
python inference_gbtc.py --model ./models/GBTC.pb --filterband_dir /path/to/data/ --threshold 0.99
A trained model will be available shortly.
research_code directory contains the main code used during the research. The code here are messy and not intended for general use.