astroslam 1.2019.109.1

A forward model using SVR to estimate stellar parameters from spectra.

SLAM

Stellar LAbel Machine (SLAM) is a forward model to estimate stellar parameters (e.g., Teff, logg, [Fe/H] and chemical abundances). It is based on Support Vector Regression (SVR), which in essential is a non-parametric regression method.

Author

Bo Zhang ([e-mail])

Home page

• https://github.com/hypergravity/astroslam
• https://pypi.org/project/astroslam/

Install

• for the latest stable version:
  • pip install astroslam
• for the latest github version:
  • pip install git+git://github.com/hypergravity/astroslam

Requirements

• numpy
• scipy
• matplotlib
• astropy
• sklearn
• joblib
• pandas
• emcee