Taxonomy of 14042 asteroids from Gaia DR3 reflectance spectra
Fernando Tinaut-Ruano, Benoit Carry, Marjorie Galinier, Max Mahlke, Alexey Sergeyev

TL;DR
This paper classifies over 14,000 asteroids into 13 spectral types using Gaia DR3 reflectance spectra, enhancing compositional understanding and demonstrating the importance of NUV data for asteroid taxonomy.
Contribution
The study develops a Gaia-specific asteroid classification scheme, increasing the number of classified objects and refining taxonomy with NUV spectral data and a tailored clustering approach.
Findings
Classified 14,042 asteroids into 13 taxonomic classes.
NUV wavelengths improve separation of B, F, and G asteroid types.
Dynamical distribution aligns with expected asteroid belt trends.
Abstract
Asteroid reflectance spectra provide key constraints on surface composition. Gaia DR3 enables the study of 60,518 asteroids through NUV to visible reflectance spectra. We aim to classify asteroids using Gaia DR3 spectra and provide a homogeneous framework. Owing to systematics affecting Gaia DR3 data, direct comparison with previous taxonomies has to be taken with caution; thus, we developed a classification scheme tailored to Gaia and linked the resulting taxa to established classes. We selected the highest-quality spectra using Gaia DR3 quality flags and applied uncertainty thresholds to mitigate spectral artifacts, retaining over one-third of the original sample at the least noisy wavelength. To improve compositional discrimination, we included albedo, reducing the final sample to about one-fourth of its initial size. We then iteratively applied dimensionality reduction and…
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