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Neural Network for Fast Radio Burst Detection

Author: Yunfan Gerry Zhang

Email: yf.g.zhang@gmail.com

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/

Software Requirements:

CUDA9.0 
tensorflow > 1.4.0
sigpyproc

Sample Usage

python inference_gbtc.py --model ./models/GBTC.pb --filterband_dir /path/to/data/ --threshold 0.99

Trained model

A trained model will be available shortly.

Researh Code

research_code directory contains the main code used during the research. The code here are messy and not intended for general use.