You're currently viewing an old version of this dataset. To see the current version, click here.

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

This dataset has no data

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

Private DOI This DOI is not yet resolvable.
It is available for use in manuscripts, and will be published when the Dataset is made public.

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