Identifying and Repairing Catastrophic Errors in Galaxy Properties Using Dimensionality Reduction
نویسندگان
چکیده
Abstract Our understanding of galaxy evolution is derived from large surveys designed to maximize efficiency by only observing the minimum amount needed infer properties for a typical galaxy. However, few percent galaxies in every survey, these observations are insufficient and can be catastrophically wrong. Further, it currently difficult or impossible determine which objects have failed, so that contaminate study properties. We develop novel method identify combining astronomical codes with dimensionality reduction algorithm t-SNE, groups similar inferred out place. This provides an improvement COSMOS catalog, already uses existing techniques catastrophic error removal, therefore should improve quality catalogs any studies sensitive redshift errors.
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ژورنال
عنوان ژورنال: The Astrophysical Journal
سال: 2021
ISSN: ['2041-8213', '2041-8205']
DOI: https://doi.org/10.3847/1538-4357/abd329