Metadata-Version: 2.1
Name: astroslam
Version: 1.2019.1101.5
Summary: A forward model using SVR to estimate stellar parameters from spectra.
Home-page: http://github.com/hypergravity/astroslam
Author: Bo Zhang
Author-email: bozhang@nao.cas.cn
License: MIT
Description: ## SLAM [![DOI](https://zenodo.org/badge/161135292.svg)](https://zenodo.org/badge/latestdoi/161135292)
        
        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)](https://ui.adsabs.harvard.edu/abs/2020ApJS..246....9Z/abstract).
        
        **Related Projects**
        1. [Exploring the spectral information content in the LAMOST medium-resolution survey (MRS)](https://ui.adsabs.harvard.edu/abs/2020RAA....20...51Z/abstract) 
        2. [Tracing Kinematic and Chemical Properties of Sagittarius Stream by K-Giants, M-Giants, and BHB stars](https://ui.adsabs.harvard.edu/abs/2019ApJ...886..154Y/abstract)
        
        ## Author
        
        Bo Zhang (bozhang@nao.cas.cn)
        
        ## Home page
        
        - [https://github.com/hypergravity/astroslam](https://github.com/hypergravity/astroslam)
        - [https://pypi.org/project/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`
        - for Zenodo version
          - [https://zenodo.org/record/3461504](https://zenodo.org/record/3461504)
        
        ## Tutorial
        A simple guide to SLAM can be accessed [here](https://pan.baidu.com/s/11UMqkUVPawRnCAB95vwIDQ) with token `gkvi`.
        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](https://search.datacite.org/works/10.5281/zenodo.3461504).
        
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3.7
Classifier: Topic :: Scientific/Engineering :: Physics
Classifier: Topic :: Scientific/Engineering :: Astronomy
Requires: numpy
Requires: scipy
Requires: matplotlib
Requires: astropy
Requires: sklearn
Requires: joblib
Requires: pandas
Requires: emcee
Requires: lmfit
Requires: ipyparallel
Description-Content-Type: text/markdown
