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A Deep Neural Network Based Reverse Radio Spectrogram Search Algorithm

Modern radio astronomy instruments generate vast amounts of data, and the increasingly challenging radio frequency interference (RFI) environment necessitates ever-more sophisticated RFI rejection algorithms.

Data and Resources

Cite this as

Peter Xiangyuan Ma, Steve Croft, Chris Lintott, Andrew P. V. Siemion (2024). Dataset: A Deep Neural Network Based Reverse Radio Spectrogram Search Algorithm. https://doi.org/10.57702/yajxirkb

DOI retrieved: December 3, 2024

Additional Info

Field Value
Created December 3, 2024
Last update December 3, 2024
Author Peter Xiangyuan Ma
More Authors
Steve Croft
Chris Lintott
Andrew P. V. Siemion
Homepage https://arxiv.org/abs/2301.12345