teas - Tools for the Extraction and Analysis of Spectra from JWST observations

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:

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:

conda activate teas-env
pip install teas --upgrade