pht-ml: Accelerating Long-period Exoplanet Discovery by Combining Deep Learning and Citizen Science
Malik, Shreshth;
pht-ml: Accelerating Long-period Exoplanet Discovery by Combining Deep Learning and Citizen Science
This repository contains code to train deep learning models to classify planetary transits from TESS light curves, accompanying the paper "Accelerating Long-period Exoplanet Discovery by Combining Deep Learning and Citizen Science". This is research code shared without support or guarantee of quality. Code development is continued at https://github.com/s-a-malik/pht-ml.
- University of Oxford United Kingdom
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selected citations
Citations provided by BIP!
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
Citations provided by BIP!popularityPopularity provided by BIP!
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
Popularity provided by BIP! 1
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Average
Average
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