Solar energy paper index
Probabilistic Stellar Age Estimation for Gaia XP Stars with NGBoost
One-line summary
A solar energy research paper on Probabilistic Stellar Age Estimation for Gaia XP Stars with NGBoost.
Engineering notes
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Chinese explanation / 中文解读
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Original abstract
Stellar age is a fundamental quantity for Galactic archaeology, but reliable age estimation for large stellar samples remains challenging. In this work, we develop an uncertainty aware NGBoost framework for stellar age estimation using Gaia XP-derived atmospheric parameters and chemical abundances. Different from the standard NGBoost model, we modify the loss function by incorporating the uncertainties of the training age labels. We further use a Monte Carlo strategy to quantify the influence of input-feature uncertainties on the predicted ages. The resulting model provides age estimates together with uncertainty estimates. Applying this framework to Gaia XP stars, we construct a stellar age catalog containing 15,175,107 stars.
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