Metadata-Version: 1.1
Name: upsilon
Version: 1.2.9
Summary: Automated Classification of Periodic Variable Stars Using Machine Learning
Home-page: https://github.com/dwkim78/upsilon
Author: Dae-Won Kim
Author-email: dwkim78@gmail.com
License: MIT
Description: UPSILoN (AUtomated Classification of Periodic Variable Stars using MachIne LearNing)
        aims to classify periodic variable stars such as Delta Scuti stars,
        RR Lyraes, Cepheids, Type II Cepheids, eclipsing binaries, and
        long-period variables (i.e. superclasses), and their subclasses
        (e.g. RR Lyrae ab, c, d, and e types) using well-sampled light curves from
        any astronomical time-series surveys in optical bands regardless of
        their survey-specific characteristics such as color, magnitude, sampling rate,
        etc (Kim & Bailer-Jones 2015, A&A accepted, http://arxiv.org/abs/1512.01611).
        
        Visit https://github.com/dwkim78/upsilon for details.
Keywords: astronomy,periodic variables,light curves,variability features,time-series survey,machine learning,classification
Platform: any
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Natural Language :: English
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3.5
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Scientific/Engineering :: Astronomy
