calwebb_tso3
Algorithms for calwebb_tso3, which is stage 3 of the JWST Science Calibration Pipeline for all time-series observations (TSO) data, are used to process data from calibrated slope images to extracted photometry and spectroscopy for each integration.
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Words in bold are GUI menus/
panels or data software packages;
bold italics are buttons in GUI
tools or package parameters.
Unless otherwise stated, the algorithms described are the baseline version.
Figure 1. calwebb_tso3
Steps for all TSO data
Outlier detection
Software documentation outside JDox: Outlier Detection
A 2nd pass at outlier detection is done using the image stack. The majority of the outliers will be due to cosmic rays undetected during the 1st pass at outlier detection done in calwebb_detector1. An iterative sigma clipping algorithm is used in pixel coordinates on the image stack. The presence of an outlier results in a pixel flag being set.
Exposure level products
The exposure level products are re-created at this stage to provide the highest quality products that include the results of the ensemble processing (a 2nd pass outlier detection). These products are for the Archive and include the unrectified 2D images and rectified 2-D images.
Imaging-specific steps
Extract photometry
Software documentation outside JDox: TSO Photometry
Aperture photometry with a predefined aperture is performed for each integration providing the time-series photometry.
Spectroscopy-specific steps
Spectral extraction
Software documentation outside JDox: Extract 2D
The extraction is done using a boxcar for each integration providing time-series spectroscopy.
White-light photometry
Software documentation outside JDox: White Light Curve Generation
The 1D extracted spectra are collapsed to create time-series white-light photometry for the spectral observations.