/astroslam

Stellar LAbel Machine (SLAM).

Primary LanguagePythonMIT LicenseMIT

SLAM DOI

Stellar LAbel Machine (SLAM) is a forward model to estimate stellar labels (e.g., Teff, logg and chemical abundances). It is based on Support Vector Regression (SVR) which is a non-parametric regression method.

For details of SLAM, see Deriving the stellar labels of LAMOST spectra with Stellar LAbel Machine (SLAM). Related projects: click here.

Author

Bo Zhang (bozhang@nao.cas.cn)

Home page

Install

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

Tutorial

[updated on 2020-12-02]

  • A new SLAM tutorial can be found here
  • If you are interested in SLAM or have any related questions, do not hesitate to contact me.

Requirements

  • numpy
  • scipy
  • matplotlib
  • astropy
  • scikit-learn
  • joblib
  • pandas
  • emcee

How to cite

Paper:

@ARTICLE{2020ApJS..246....9Z,
       author = {{Zhang}, Bo and {Liu}, Chao and {Deng}, Li-Cai},
        title = "{Deriving the Stellar Labels of LAMOST Spectra with the Stellar LAbel Machine (SLAM)}",
      journal = {\apjs},
     keywords = {Astronomical methods, Astronomy data analysis, Bayesian statistics, Stellar abundances, Chemical abundances, Fundamental parameters of stars, Catalogs, Surveys, Astrophysics - Solar and Stellar Astrophysics, Astrophysics - Astrophysics of Galaxies, Astrophysics - Instrumentation and Methods for Astrophysics},
         year = 2020,
        month = jan,
       volume = {246},
       number = {1},
          eid = {9},
        pages = {9},
          doi = {10.3847/1538-4365/ab55ef},
archivePrefix = {arXiv},
       eprint = {1908.08677},
 primaryClass = {astro-ph.SR},
       adsurl = {https://ui.adsabs.harvard.edu/abs/2020ApJS..246....9Z},
      adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}

Code:

@misc{https://doi.org/10.5281/zenodo.3461504,
    author = {Zhang, Bo},
    title = {hypergravity/astroslam: Stellar LAbel Machine},
    doi = {10.5281/zenodo.3461504},
    url = {https://zenodo.org/record/3461504},
    publisher = {Zenodo},
    year = {2019}
}

For other formats, please go to https://search.datacite.org/works/10.5281/zenodo.3461504.