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[ascl:2108.014] StelNet: Stellar mass and age predictor

StelNet predicts mass and age from absolute luminosity and effective temperature for stars with close to solar metallicity. It uses a Deep Neural Network trained on stellar evolutionary tracks. The underlying model makes no assumption on the evolutionary stage and includes the pre-main sequence phase. A mix of models are trained and bootstrapped to quantify the uncertainty of the model, and data is through all trained models to provide a predictive distribution from which an expectation value and uncertainty level can be estimated.

Code site:
https://github.com/cgarraffo/StelNet
Described in:
https://ui.adsabs.harvard.edu/abs/2021arXiv210607655G
Bibcode:
2021ascl.soft08014G

Views: 137

ascl:2108.014
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