gemunu/made

Bayesian ANN, Bayesian spectroscopic mass estimator trained on APOKASC, and Bayesian isochrone pipeline for estimating distances and ages.

MADE

Bayesian ANN, Bayesian spectroscopic mass estimator trained on APOKASC, and Bayesian isochrone pipeline for estimating distances and ages.

CalcAstromDistGrid.py

Bayesian method for calculating distances for astrometric data (photometric data used for dust calcualtion).

CalcSpectroPhotoAstromSeismoDistGrid.py

Bayesian method to calculate masses, ages, metallicities, and distances for spectro-photo-astrom-seismo data.

CalcApogeeTgasDR14Dist.py

Uses Bayesian method applied to astrometric data to estimate distances.

CalcApogeeTgasDR14AgesDist.py

Uses Bayesian method applied to spectro-photo-astrom-seismo data, accounting for dust.

CalcBNN.py

This module trains a Bayesian neural network and then applies it to make predictions in the case of unknown and known targets. Initialize as

bnn = CalcBNN()

TrainApokascTgasMassesBNN.ipynb

iPYTHON notebook creating a Bayesian spectrosopic mass estimator, using a Bayesian artificial neural network with APOKASC-TGAS DR14 training data.

CalcApogeeTgasMasses.ipynb

iPYTHON notebook applying Bayesian spectroscopic mass estimator for estimating masses with whole of APOGEE-TGAS DR14.