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Query Fast Radio Burst catalogues

An ipython notebook that implements maximum likelihood estimation (MLE) powerlaw fits for fast radio burst (FRB) fluence distributions, compares these to least-squared fits, and finds the MLE methods are significantly more robust, as detailed in Bilous et al. 2024 (arxiv).

Fast Radio Burst Population Synthesis in Python

Python bindings to the PSRDada ringbuffer implementation

Scripts to analyse bursts from FRB180916 detected with Apertif and LOFAR

Scripts to install and manage the AMBER transient pipeline.

Radio astronomy dedispersion algorithm implemented for many-core accelerators.