==================================================================================
``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
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:target: https://www.astropy.org
:alt: Powered by Astropy
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:target: http://www.stsci.edu
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``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 --name teas-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 teas-env
pip install teas --upgrade
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"description": "==================================================================================\n``teas`` - Tools for the Extraction and Analysis of Spectra from JWST observations\n==================================================================================\n\n.. image:: https://img.shields.io/pypi/v/teas?style=flat&logo=pypi&logoColor=%23ffd242&color=%23336c9d\n :target: https://pypi.org/project/teas/\n :alt: PyPI - Version\n\n.. image:: https://img.shields.io/badge/powered%20by-AstroPy-orange.svg?style=flat\n :target: https://www.astropy.org\n :alt: Powered by Astropy\n\n.. image:: https://img.shields.io/badge/powered%20by-STScI-blue.svg?colorA=707170&colorB=3e8ddd&style=flat\n :target: http://www.stsci.edu\n :alt: Powered by STScI\n\n``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.\n\nFeatures:\n---------\n\n* Extract 1D spectra from 3D IFU data from NIRSpec and MIRI MRS\n* Create images of spectrally imaged regions using NIRCam data\n* Align and reproject the WCS of data cubes and images\n* Find the field of view of NIRSpec or MIRI MRS data products within NIRCam images\n* Fit the continuum using either an anchors-and-splines fitting or linear regression\n* Stitch together spectra\n* Shift, scale, and normalize spectrum flux\n\nInstallation\n------------\n\nIt is recommended to install ``teas`` in a new environment to avoid\nversion conflicts with other packages. To do this, run:\n\n.. code-block:: bash\n\n conda create --name teas-env python=3.9\n\n\nThen, activate the environment and install the package. The latest released version can be installed with pip:\n\n.. code-block:: bash\n\n conda activate teas-env\n pip install teas --upgrade\n",
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