Fast Radio Burst Population Synthesis in Python

RaSPDAM - an efficient machine learning algorithm based on U-Net to detect radio single-pulse signals.

FRB Software List

Repository for the FRBSTATS web platform.

A GUI for measuring properties of Fast Radio Bursts

A fast radio burst (FRB) redshift estimation package written in Python.

One stop realtime GPU-accelerated single-pulse/FRB search pipeline

VLA interferometric data analysis for FRB 121102

A standard (and generalised) rotation measures fitting package written in Python.

Code for "A simple relationship for the spectro-temporal structure of bursts from FRB121102" and "Evidence of a shared spectro-temporal law between sources of repeating fast radio bursts".

a SYCL-based simple prototype radio telescope backend on GPU/CPU, with real time coherent dedispersion

How I installed Presto3.0.1 and create a singularity .simg file (download link included) from this installation.

Yet Another Pulsar Processor (YAPP) is a suite of radio pulsar data analysis software.

Wrapper for libsignal, implementing the Signal Protocol for end-to-end encryption. Features Double Ratchet, X3DH, Sealed Sender, Group Messaging (SenderKey), and Kyber post-quantum key exchange. Optimized for Flutter and cross-platform applications (Android, iOS, Linux, macOS, Windows). AGPL-3.0 Licensed.

Script designed to process CHIME FRB catalog and Fermi LAT data which can be modified for any high energy astrophysics event searches.

An FRB detection code written for my undergraduate research project (only for archive purposes).

Wrapper for OpenMLS, implementing the Messaging Layer Security (MLS) protocol (RFC 9420) for scalable end-to-end encrypted group messaging. Features TreeKEM key agreement, encrypted storage (SQLCipher/IndexedDB), and Web Crypto support. Optimized for Flutter and cross-platform applications (Android, iOS, Linux, macOS, Windows, Web). MIT Licensed.

This repo is for my summer research project at ASTRON in 2024

In this repository, using the statistical software R, are been analyzed robust techniques to estimate multivariate linear regression in presence of outliers, using the Bootstrap, a simulation method where the construction of sample distribution of given statistics occurring through resampling the same observed sample.

Independent analysis of the CHIME/FRB Catalog 2 confirming the azimuthal modulation found in Catalog 1, aligned with the “Columbus Axis”. Includes fully reproducible code, rotational hemispheric scans, permutation tests, and sinusoidal fits showing persistent directional structure.