Anything can happen in the next half hour (including spectral timing made easy)!
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Updated
Jun 19, 2024 - Python
Anything can happen in the next half hour (including spectral timing made easy)!
Your Unified Reader
Python3 version of Ewan Barr's sigpyproc library
This repository contains my solutions to the course Data-driven Astronomy offered by The University of Sydney on Coursera
📡 An easy-to-use Pulsar Toolkit for Pulsar Astronomy...
Python 3 tools for processing dynamic spectra of radio transients
Scattering fits of Fast Radio Burst and pulsar data.
Python implementation of pulse profile scattering deconvolution
Weighted Injector of Luminous Lighthouses
Using machine learning and neural networks to efficiently search for pulsars in processed radio telescope data.
Senior Thesis on Applying Neural Networks in Pulsar Identification
This is an experimental python script predicts the Time of Arrival (TOA) and gate boundaries for a pulsar for gated imaging applications. Currently, the code is tailored for GMRT observations
Detecting Radio Signals with Spectral Structure
NenuPlot is a PSRFITS merging (in time and frequency) and cleaning pipeline
Set of tools for pulsar studies,including flux energy analysis
Mean of a Stack of FIT file to detect pulsar in space
This project focuses on classifying pulsar stars using the Support Vector Machine (SVM) algorithm, a powerful method in the realm of supervised learning. The goal is to automate the identification process of pulsar stars from candidates collected during surveys, based on predictive modeling.
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