tanishqgautam/SETI-Breakthrough-Listen
Solution to the SETI Breakthrough Listen Competition hosted on Kaggle
This solution helps radio astronomers and researchers efficiently analyze vast amounts of telescope data to find potential extraterrestrial signals. It takes raw spectrograms from radio telescopes, which are two-dimensional arrays, and identifies anomalous patterns, outputting predictions on whether a signal is present. The primary users are scientists and data analysts working on projects like SETI Breakthrough Listen.
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Use this if you need to classify two-dimensional spectrogram data for the presence of specific, rare signal patterns within a large dataset.
Not ideal if your data is not in a spectrogram format, or if you are looking for a general-purpose anomaly detection tool outside of signal analysis.
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Python
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MIT
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Last pushed
Jun 22, 2021
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