pulsars

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Analysis software for the NICER mission

Mitigation of periodic as well as narrow-band and spiky/bursty RFI from time-domain filterbank data.

Spectro-temporal modeling of FRBs

Simple pure-python3 module for working with filerbank (aka Sigproc) format files.

Python3 version of Ewan Barr's sigpyproc library

📡 An easy-to-use Pulsar Toolkit for Pulsar Astronomy...

I/O for common pulsar data formats

Singularity containers with common radio transient search software.

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

GWecc is a C++ code that computes the pulsar timing array (PTA) signals induced by eccentric supermassive binaries.

Repository to host Artificial Intelligence projects, a third year unit @FEUP. Made in collaboration with @EdgarACarneiro and @jflcarvalho.

Set of tools for pulsar studies,including flux energy analysis

Senior Thesis on Applying Neural Networks in Pulsar Identification

Classifying whether the star is a possible candidate for pulsar or not based on its radio emissions. 🌠

Identifying Pulsars using PyTorch.

This repository contains my solutions to the course Data-driven Astronomy offered by The University of Sydney on Coursera

Cpp rewrite of the sigproc project

Identifying Pulsar Signals from RFI noise (HTRU2 dataset)

Analysis of radio pulsar parameters and their relationships with nulling statistics

Code to compute the self-generated TeV halos around pulsars

HarvardX DataScience Professional Certificate - Final Capstone IDV Project - Predicting Pulsars using machine learning algorithms. In this project we determine which machine learning algorithm has the highest prediction accuracy in predicting Pulsars.

Machine Learning Tutorial for radio astronomers

Using machine learning and neural networks to efficiently search for pulsars in processed radio telescope data.

Finding pulsars in filterbank data using neural networks

A logistic regression model to identify possible pulsar candidates using PyTorch

Now populate and survey RRATs along with pulsars!