specialsoss

SPECtral Image AnaLysis for SOSS

Authors: Joe Filippazzo

This pure Python 3.6+ package performs optimal spectral extraction routines for the Single Object Slitless Spectroscopy (SOSS) mode of the Near-Infrared Imager and Slitless Spectrograph (NIRISS) instrument onboard the James Webb Space Telescope (JWST).

Additional resources:

• Full documentation
• Jupyter notebook
• Build history

Extracting Spectra from SOSS Observations

The headers in JWST data products provide almost all the information needed to perform the spectral extraction, making the path to your data the only required input. To load your SOSS exposure, simply do

# Imports
import numpy as np
from specialsoss import SossExposure
from pkg_resources import resource_filename

# Load the exposure
file = resource_filename('specialsoss', 'files/SUBSTRIP256_CLEAR_uncal.fits')
obs = SossExposure(file)

Now we can scroll through the ingested data by plotting the frames.

obs.plot_frames()

To run a spectral extraction routine, use the extract method with the name of the routine you would like to use. In this example, we'll use the vanilla column sum extraction.

obs.extract('sum', 'uncal')

Finally, we can see the extracted time-series spectra and the monochromatic lightcurves with:

obs.plot_results()