MakeDirectWarpTask¶

Warp single visit images (calexps or PVIs) onto a common projection by performing the following operations:

Group the single-visit images by visit/run
For each visit, generate a Warp by calling method @ref run.

Python API summary¶

from lsst.pipe.tasks.make_direct_warp import MakeDirectWarpTask

classMakeDirectWarpTask(**kwargs): Warp single-detector images onto a common projection...

attributeconfig: Access configuration fields and retargetable subtasks.

methodrun(inputs, sky_info, **kwargs): Create a Warp dataset from inputs...

Retargetable subtasks¶

inputRecorder¶

Default: lsst.pipe.tasks.coaddInputRecorder.CoaddInputRecorderTask
Field type: ConfigurableField

Subtask that helps fill CoaddInputs catalogs added to the final coadd

preWarpInterpolation¶

Default: lsst.meas.algorithms.cloughTocher2DInterpolator.CloughTocher2DInterpolateTask
Field type: ConfigurableField

Interpolation task to use for pre-warping interpolation

select¶

Default: lsst.pipe.tasks.selectImages.PsfWcsSelectImagesTask
Field type: ConfigurableField

Image selection subtask.

Configuration fields¶

border¶

Default: 256
Field type: int Field

Pad the patch boundary of the warp by these many pixels, so as to allow for PSF-matching later

coaddPsf¶

Data type: lsst.meas.algorithms.CoaddPsfConfig
Field type: ConfigField

Configuration for CoaddPsf

connections¶

Data type: lsst.pipe.base.config.MakeDirectWarpConfigConnections
Field type: ConfigField

Configurations describing the connections of the PipelineTask to datatypes

doApplyNewBackground¶

Default: False
Field type: bool Field

Apply the new backgrounds from the background_apply_list connection?

doPreWarpInterpolation¶

Default: False
Field type: bool Field

Interpolate over bad pixels before warping?

doRevertOldBackground¶

Default: False
Field type: bool Field

Revert the old backgrounds from the background_revert_list connection?

doSelectPreWarp¶

Default: True
Field type: bool Field

Select ccds before warping?

doWarpMaskedFraction¶

Default: False
Field type: bool Field

Warp the masked fraction image?

idGenerator¶

Data type: lsst.meas.base._id_generator.DetectorVisitIdGeneratorConfig
Field type: ConfigField

Configuration for how to generate catalog IDs from data IDs.

includeCalibVar¶

Default: False
Field type: bool Field

Add photometric calibration variance to warp variance plane?

maskedFractionWarper¶

Data type: lsst.afw.math._warper.WarperConfig
Field type: ConfigField

Configuration for the warp that warps the mask fraction image

numberOfNoiseRealizations¶

Default: 0
Field type: int RangeField
Range: [0,3]

Number of noise realizations to simulate and persist.

saveLogOutput¶

Default: True
Field type: bool Field

Flag to enable/disable saving of log output for a task, enabled by default.

seedOffset¶

Default: 0
Field type: int Field

Offset to the seed used for the noise realization. This can be used to create a different noise realization if the default ones are catastrophic, or for testing sensitivity to the noise.

useMedianVariance¶

Default: True
Field type: bool Field

Use the median of variance plane in the input calexp to generate noise realizations? If False, per-pixel variance will be used.

useVisitSummaryPsf¶

Default: True
Field type: bool Field

If True, use the PSF model and aperture corrections from the ‘visit_summary’ connection to make the warp. If False, use the PSF model and aperture corrections from the ‘calexp’ connection.

warper¶

Data type: lsst.afw.math._warper.WarperConfig
Field type: ConfigField

Configuration for the warper that warps the image and noise

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