Metadata-Version: 2.1
Name: bettermoments
Version: 1.2.0
Summary: Robust moment map making.
Home-page: https://github.com/richteague/bettermoments
Author: Richard Teague & Daniel Foreman-Mackey
Author-email: richard.d.teague@cfa.harvard.edu
License: LICENSE.md
Description: # bettermoments
        
        <p align='center'>
          <br/>
          <img src="https://github.com/richteague/bettermoments/blob/master/docs/_static/TWHya.png" width="435" height="435"><br/>
          <br>
          Measuring precise line-of-sight velocities from Doppler shifted lines is essential<br/>
          when looking for small scale deviations indicative of, for example, embedded planets.<br/>Do that with <b>bettermoments</b>.
          <br><br>
          <a href="https://doi.org/10.5281/zenodo.1419754"><img src="https://zenodo.org/badge/DOI/10.5281/zenodo.1419754.svg" alt="DOI"></a>
          <a href="http://ascl.net/1901.009"><img src="https://img.shields.io/badge/ascl-1901.009-blue.svg?colorB=262255" alt="ascl:1901.009" /></a>
          <a href='https://bettermoments.readthedocs.io/en/latest/?badge=latest'>
              <img src='https://readthedocs.org/projects/bettermoments/badge/?version=latest' alt='Documentation Status' />
          </a>
          <br><br><br><br>
        </p>
        
        
        ## Installation
        
        To install, we recommend using pip:
        
        ```bash
        pip install bettermoments
        ```
        
        ## Usage
        
        The easiest way to interface with ``bettermoments`` is through the command line. To use the default quadratic method simply use,
        
        ```bash
        bettermoments path/to/cube.fits
        ```
        
        while various other methods, discussed further in the documentation, can be accessed via the ``-method`` flag:
        
        ```bash
        bettermoments path/to/cube.fits -method zeroth
        ```
        
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Description-Content-Type: text/markdown
