ryanhill1 / Radio-Astronomy

Radio frequency interference classification via convolutional neural network.

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Radio Astronomy

The end goal of this project is to better identify fast radio transients in order to discover new pulsars. In these programs, I built a neural network to classify different types of radio frequency interference. See PDF for a summary of progress.

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Radio frequency interference classification via convolutional neural network.


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