Star-galaxy separation by far-infrared color-color diagrams for the AKARI FIS All-Sky Survey (Bright Source Catalogue Version beta-1)
Agnieszka Pollo, Piotr Rybka, Tsutomu T. Takeuchi

TL;DR
This study develops a method using far-infrared color-color diagrams from the AKARI survey to effectively distinguish stars from galaxies, achieving over 95% galaxy selection accuracy while rejecting at least 80% of stars.
Contribution
The paper introduces a new simple color-color diagram technique for star-galaxy separation in far-infrared data, improving classification accuracy in the AKARI survey.
Findings
Stars form two distinct clouds in color-color diagrams.
The method can reject at least 80% of stars while selecting over 95% of galaxies.
Far-infrared color-color diagrams enable high-quality star-galaxy separation.
Abstract
To separate stars and galaxies in the far infrared AKARI All-Sky Survey data, we have selected a sample with the complete color information available in the low extinction regions of the sky and constructed color-color plots for these data. We looked for the method to separate stars and galaxies using the color information. We performed an extensive search for the counterparts of these selected All-Sky Survey sources in the NED and SIMBAD databases. Among 5176 objects, we found 4272 galaxies, 382 other extragalactic objects, 349 Milky Way stars, 50 other Galactic objects, and 101 sources detected before in various wavelengths but of an unknown origin. 22 sources were left unidentified. Then, we checked colors of stars and galaxies in the far-infrared flux-color and color-color plots. In the resulting diagrams, stars form two clearly separated clouds. One of them is easy to be…
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