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Probabilistic Classifications of Unresolved Point Sources in PanSTARRS1 ("PS1-PSC")

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DataCite Commons2020-09-20 更新2025-04-09 收录
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http://archive.stsci.edu/doi/resolve/resolve.html?doi=10.17909/t9-xjrf-7g34
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Using a machine learning model, Tachibana & Miller 2018 classified ~1.5 billion sources from the PanSTARRS1 (PS1) data release 1 as either resolved, extended objects or unresolved, point sources. This PS1 point source catalog (PS1-PSC) provides a probabilistic ranking of all sources with a score of 0 corresponding to extended objects and 1 corresponding to point sources. The classifications are based on morphological properties measured in the PS1 stack images, though not every source in PS1 has a classification (see the known caveats). It has been demonstrated that this method does a far better job of selecting stars and galaxies than a single hard cut on the difference between the PSF and Kron magnitudes (see Figure to the right). A full description of the catalog is described in Tachibana & Miller 2018. Data are available as direct download or via MAST CasJobs.
提供机构:
STScI/MAST
创建时间:
2018-09-08
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