Python tools to manipulate data data described in the following paper.

ADS: https://ui.adsabs.harvard.edu/abs/2013A%26A...553A...6H/abstract

Title: A new extensive library of PHOENIX stellar atmospheres and synthetic spectra

Authors: TO Husser, S Wende-von Berg, S Dreizler, D Homeier, A Reiners, T Barman, PH Hauschildt

Aims: We present a new library of high-resolution synthetic spectra based on the stellar atmosphere code PHOENIX that can be used for a wide range of applications of spectral analysis and stellar parameter synthesis.

Methods: The spherical mode of PHOENIX was used to create model atmospheres and to derive detailed synthetic stellar spectra from them. We present a new self-consistent way of describing micro-turbulence for our model atmospheres.

Results: The synthetic spectra cover the wavelength range from 500 Å to 5.5 μm with resolutions of R = 500 000 in the optical and near IR, R = 100 000 in the IR and Δλ = 0.1 Å in the UV. The parameter space covers 2300 K ≤ Teff ≤ 12 000 K, 0.0 ≤ log g ≤ +6.0, - 4.0 ≤ [Fe/H] ≤ +1.0, and - 0.2 ≤ [α/Fe] ≤ +1.2. The library is a work in progress and we expect to extend it up to Teff = 25 000 K.

Data: ftp phoenix.astro.physik.uni-goettingen.de username: anonymous password: