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[ascl:2210.021] SHEEP: Machine Learning pipeline for astronomy classification

The photometric redshift-aided classification pipeline SHEEP uses ensemble learning to classify astronomical sources into galaxies, quasars and stars. It uses tabular data and also allows the use of sparse data. The approach uses SDSS and WISE photometry, but SHEEP can also be used with other types of tabular data, such as radio fluxes or magnitudes.

Code site:
https://github.com/pedro-acunha/SHEEP
Described in:
https://ui.adsabs.harvard.edu/abs/2022A%26A...666A..87C
Bibcode:
2022ascl.soft10021C

Views: 1427

ascl:2210.021
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