A forward model using SVR to estimate stellar parameters from spectra.
Project description
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 (bozhang@nao.cas.cn)
Home page
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
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