Metadata-Version: 1.1
Name: algol_reduction
Version: 1.0.0b11
Summary: Spectral reduction package
Home-page: UNKNOWN
Author: Christian W. Brock
Author-email: UNKNOWN
License: BSD
Description: Welcome to reduction's documentation!
        =====================================
        
        This library was created to apply doppler tomography to the Algol star system.
        This is still the main purpose for most of the code.
        
        However, some parts are generic and can be used for any spectrum and star.
        This includes:
        
        - flux normalization using synthetic spectra::
        
           normalize_spectrum --help
        
          Some example synthetic spectra from the Pollux database are included
          in the source distribution of the package.
        
        - planing observations of variable stars::
        
           plan_observations --help
        
          This scripts generates `ics` file you can import into your calenders.
        
        - display spectra::
        
           fits_display1d --help
        
        - manipulate fits header::
        
           fits_setval --help
        
        - loading spectra from fits and text files
        
        - measuring absorption or emission profiles
        
        
        Attribution
        -----------
        
        There is a publication describing the flux normalization.
        If you publish anything using this code, please add a reference to::
        
           @article{Brock2019,
                author = {Christian Brock},
                title = {{C}ontinuum {N}ormalization using {S}ynthetic {S}pectra}
                journal = {{SPEKTRUM} Journal of the Section Spectroscopy of the Society of German Amateur Astronomers},
                year = {2019},
                month = {Nov},
                volume= {55},
                pages={4-7},
                issn={2363-5894},
                note={\url{{http://spektroskopie.vdsastro.de/files/pdfs/Spektrum55.pdf}}
            }
        
        
Platform: UNKNOWN
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering :: Astronomy
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: BSD License
