Probabilistic PCA latent-space model with Bayesian inference reconstructs TNO near-IR spectra from photometry, achieving 95% credible-interval coverage and supporting taxonomy plus survey optimization.
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Larger TNO sample with phase corrections shows color-phase angle correlations but no strong bimodality or orbital links, plus first Rubin photometric measurements for eight objects.
citing papers explorer
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Probabilistic Spectral Reconstruction of Trans-Neptunian Objects from Sparse Photometry: A Framework for Taxonomy, Survey Optimization, and Outlier Detection
Probabilistic PCA latent-space model with Bayesian inference reconstructs TNO near-IR spectra from photometry, achieving 95% credible-interval coverage and supporting taxonomy plus survey optimization.
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Historical Surveys to Rubin First Look: Absolute Colors of trans-Neptunian objects
Larger TNO sample with phase corrections shows color-phase angle correlations but no strong bimodality or orbital links, plus first Rubin photometric measurements for eight objects.