A Contaminant-Free Catalogue of Gaia DR2-WISE Galactic Plane Matches: Including the Effects of Crowding in the Cross-Matching of Photometric Catalogues
Tom J Wilson, Tim Naylor

TL;DR
This paper improves cross-matching of Gaia DR2 and WISE in crowded Galactic regions by accounting for PSF-induced positional shifts, leading to more accurate counterpart identification and highlighting contamination effects.
Contribution
It introduces an empirical method for constructing astrometric uncertainty functions that account for crowding effects, enhancing cross-matching accuracy in dense stellar fields.
Findings
Matching accuracy increased from 55% to higher with the new method.
Contaminants in WISE are resolved in Spitzer, reducing false associations.
The method is applicable to future surveys like LSST.
Abstract
Faint, hidden contaminants in the point-spread functions (PSFs) of stars cause shifts to their measured positions. Wilson & Naylor (2017) showed failing to account for these shifts can lead to a drastic decrease in the number of returned catalogue matches in crowded fields. Here we highlight the effect these perturbations have on cross-matching, for matches between Gaia DR2 and WISE stars in a crowded Galactic plane region. Applying the uncertainties as quoted to Gaussian-based astrometric uncertainty functions (AUFs) can lead, in dense Galactic fields, to only matching 55% of the counterparts. We describe the construction of empirical descriptions for AUFs, building on the cross-matching method of Wilson & Naylor (2018), utilising the magnitudes of both catalogues to discriminate between true and false counterparts. We apply the improved cross-matching method to the Galactic plane |b|…
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