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
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Updated
Mar 13, 2024 - Python
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
Using machine learning and neural networks to efficiently search for pulsars in processed radio telescope data.
Now populate and survey RRATs along with pulsars!
Supplementary material for the paper "The UTMOST pulsar timing programme I: Overview and first results".
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.
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Supplementary material for the paper "Spectral properties of 441 radio pulsars".
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