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highlevel_pipeline.rst

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High Level Image Processing

Class:romancal.pipeline.HighLevelPipeline
Alias:highlevel_pipeline

The HighLevelPipeline applies corrections to an overlapping group of images and is setup to process only imaging observations. This pipeline is used to determine a common background, :ref:`skymatch <skymatch_step>`, detect pixels the are not consistent with the other datasets, :ref:`outlier_detection <outlier_detection_step>`, and resample the image to a single undistorted image, :ref:`resample <resample_step>`.

The list of steps applied by the HighLevelPipeline pipeline is shown in the table below.

Step WFI-Image WFI-Prism WFI-Grism
:ref:`skymatch <skymatch_step>` 𝕏 𝕏
:ref:`outlier_detection <outlier_detection_step>` 𝕏 𝕏
:ref:`resample <resample_step>` 𝕏 𝕏

Arguments

The highlevel pipeline has no optional arguments:

You can see the options for strun using:

strun --help roman_hlp

and this will list all the strun options all well as the step options for the roman_hlp.

Inputs

An association of 2D calibrated image data

Data model:~romancal.datamodels.WfiImage
File suffix:_cal

The input to the HighLevelPipeline is a group of calibrated exposures, e.g. "r0008308002010007027_06311_0019_WFI01_cal.asdf", which contains the calibrated data for the the exposures. The most convenient way to pass the list of exposures to be processed with the high level pipeline is to use an association. Instructions on how to create an input association an be found at :ref:`asn-from-list`.

Outputs

2D Image (MosaicModel)

Data model:~romancal.datamodels.WfiMosaic
File suffix:_i2d

Result of applying all the high level pipeline steps up through the :ref:`resample <resample_step>` step is to produce data background corrected and cleaned of outliers and resampled to a distortion free grid. This is 2D image data, with additional attributes for the mosaicing information.