Metadata-Version: 1.1
Name: teas
Version: 0.1.0
Summary: Tools for the Extraction and Analysis of Spectra from JWST observations
Home-page: https://github.com/joelenehales/teas
Author: Joelene Hales
Author-email: <joelenehales@bell.net>
License: UNKNOWN
Description: ==================================================================================
        ``teas`` - Tools for the Extraction and Analysis of Spectra from JWST observations
        ==================================================================================
        
        .. image:: https://img.shields.io/pypi/v/teas?style=flat&logo=pypi&logoColor=%23ffd242&color=%23336c9d
           :target: https://pypi.org/project/teas/
           :alt: PyPI - Version
        
        .. image:: https://img.shields.io/badge/powered%20by-AstroPy-orange.svg?style=flat
            :target: https://www.astropy.org
            :alt: Powered by Astropy
        
        .. image:: https://img.shields.io/badge/powered%20by-STScI-blue.svg?colorA=707170&colorB=3e8ddd&style=flat
          :target: http://www.stsci.edu
          :alt: Powered by STScI
        
        ``teas`` is a package of utilities to analyze spectra from the James Webb Space Telescope. It provides tools to align and process JWST data products, extract 1D spectra from 3D integral-field-unit data cubes from NIRSpec and MIRI MRS, and create images of observed regions with NIRCam observations.
        
        Features:
        ---------
        
        * Extract 1D spectra from 3D IFU data from NIRSpec and MIRI MRS
        * Create images of spectrally imaged regions using NIRCam data
        * Align and reproject the WCS of data cubes and images
        * Find the field of view of NIRSpec or MIRI MRS data products within NIRCam images
        * Fit the continuum using either an anchors-and-splines fitting or  linear regression
        * Stitch together spectra
        * Shift, scale, and normalize spectrum flux
        
        Installation
        ------------
        
        It is recommended to install ``teas`` in a new environment to avoid
        version conflicts with other packages. To do this, run:
        
        .. code-block:: bash
        
           conda create -n my-env python=3.9
        
        
        Then, activate the environment and install the package. The latest released version can be installed with pip:
        
        .. code-block:: bash
        
          conda activate my-env
          pip install teas --upgrade
        
Keywords: python,astronomy,jwst,spectroscopy
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: License :: OSI Approved :: MIT License
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering :: Astronomy
Classifier: Programming Language :: Python :: 3
Classifier: Operating System :: OS Independent
