Getting Started

Introduction

This is a Python package to work with Gaia XPSpec data. You can determine the stellar parameters using an APOGEE empirical library or using an artificial neural network (ANN) model with added extinction.

Getting stellar parameters using the APOGEE empirical library

from gaiaxpspec import utils,fitter

# Load the library spectra
library = Table.read(utils.datadir()+'apogee_library_spectra.fits.gz')
# Determine the best-matching stellar parameter for the "flux" spectrum
out = fitter.library_estimate(flux,library=library)

Using the ANN Model

from gaiaxpspec import utils,fitter,model,xpspec
# Load the model
xpm = model.load_model()
# Make XPSpec object
spec = xpspec.XPSpec(flux,err=flux_error)
spec.normalize()   # normalize
# Make model spectrum
mspec = xpm([teff,logg,feh,0.0])

# Run the fitter
out,bestspec = fitter.solvestar(spec,initpar=initpar,bounds=bounds)