HiFAST#
HiFAST is a powerful, Python-based pipeline designed for the calibration and imaging of HI (neutral hydrogen) data from the Five-hundred-meter Aperture Spherical radio Telescope (FAST).
It provides a comprehensive suite of tools for radio astronomers to process raw observational data into science-ready data cubes. To learn more about the pipeline and its underlying methods, please see our publications and citation guidelines.
Getting started is easy: begin with the Installation guide, explore the Examples, or try it directly in your browser on Colab.
Note
This project is currently under development
Flowchart#
This flowchart illustrates the standard data processing workflow in HiFAST, from raw data to final data cubes. While it shows a typical path, remember that these modules are adaptable for custom tasks.
Table of Contents#
Explore the documentation to learn more about installing and using HiFAST, from following the standard workflow to using its tools for custom tasks.