Description¶
- Class
jwst.coron.HlspStep
- Alias
hlsp
The hlsp
step is one of the coronagraphic-specific steps in the coron
sub-package. It produces high-level science products for KLIP-processed
(PSF-subtracted) coronagraphic images. The step is currently a prototype and
produces two simple products: a signal-to-noise ratio (SNR) image and a table
of contrast data. The SNR image is computed by simply taking the ratio of the
SCI and ERR arrays of the input target image. The contrast
data are in the form of azimuthally-averaged noise versus radius. The noise
is computed as the 1-sigma standard deviation within a set of concentric
annuli centered in the input image. The annuli regions are computed to the
nearest whole pixel; no sub-pixel calculations are performed.
Note
This step is not currently included in the calwebb_coron3 pipeline, but can be run standalone.
Arguments¶
The hlsp
step has one optional argument:
--annuli_width
which is an integer parameter with a default value of 2 and is used to specify the width, in pixels, of the annuli to use when computing the contrast curve data.
Inputs¶
2D image¶
- Data model
- File suffix
_psfsub
The input is the KLIP-processed (PSF-subtracted) image to be analyzed.
Outputs¶
2D SNR image¶
- Data model
- File suffix
_snr
The computed SNR image.
Contrast table¶
- Data model
- File suffix
_contrast
The table of contrast data, containing columns of radii (in pixels) and 1-sigma noise.
Reference Files¶
The hlsp
step does not use any reference files.