turboSETI: A Python-based, high-performance search for drifting narrow-band signals in radio astronomy data

To the point

turboSETI is a Python tool that analyzes radio filterbank data to hunt for narrow, drifting signals that could indicate extraterrestrial origin, supporting .fil and .h5 inputs (converting SIGPROC to HDF5 when needed), using a fast Taylor-tree with Numba to search hundreds of drift rates, and producing a plain-text hits list that can be loaded into pandas, with optional Cupy GPU acceleration and pip-based installation for use from the command line or in Python.

GitHub - UCBerkeleySETI/turbo_seti: turboSETI -- python based SETI search algorithm.
github.com

GitHub - UCBerkeleySETI/turbo_seti: turboSETI -- python based SETI search algorithm.

turboSETI -- python based SETI search algorithm. Contribute to UCBerkeleySETI/turbo_seti development by creating an account on GitHub.