AssembleCellCoaddConfig#

class lsst.drp.tasks.assemble_cell_coadd.AssembleCellCoaddConfig(*args, **kw)#

Bases: PipelineTaskConfig

Attributes Summary

`bad_mask_planes`	Mask planes that count towards the masked fraction within a cell.
`calc_error_from_input_variance`	Calculate coadd variance from input variance by stacking statistic.
`connections`	Field which refers to a dynamically added configuration class which is based on a PipelineTaskConnections class.
`do_calculate_weight_from_warp`	Calculate coadd weight from the input warp? Otherwise, the weight is obtained from the visitSummaryList connection.
`do_coadd_inverse_aperture_corrections`	Coadd the inverse aperture corrections for each cell? This is formally the more accurate way but may be turned off for parity with deepCoadd.
`do_interpolate_coadd`	Interpolate over pixels with NO_DATA mask set? (`bool`, default `True`)
`do_scale_zero_point`	Scale warps to a common zero point? This is not needed if they have absolute flux calibration.
`do_use_artifact_mask`	Substitute the mask planes input warp with an alternative artifact mask? (`bool`, default `True`)
`interpolate_coadd`	Task to interpolate (and extrapolate) over pixels with NO_DATA mask on cell coadds (`ConfigurableInstance`, default `<class 'lsst.pipe.tasks.interpImage.InterpImageConfig'>`)
`mask_propagation_thresholds`	Threshold (in fractional weight) of rejection at which we propagate a mask plane to the coadd; that is, we set the mask bit on the coadd if the fraction the rejected frames would have contributed exceeds this value.
`max_maskfrac`	Maximum fraction of masked pixels in a cell.
`min_overlap_fraction`	The minimum overlap fraction required for a single (visit, detector) input to be included in a cell.
`num_noise_realizations`	Number of noise planes to include in the coadd.
`psf_dimensions`	Dimensions of the PSF image stamp size to be assigned to cells (must be odd).
`psf_warper`	Configuration for the warper that warps the PSFs.
`remove_mask_planes`	Mask planes to remove before coadding (`List`, default `['NOT_DEBLENDED']`)
`saveLogOutput`	Flag to enable/disable saving of log output for a task, enabled by default.
`scale_zero_point`	Task to scale warps to a common zero point Deprecated: Now that visits are scaled to nJy it is no longer necessary or recommended to scale the zero point, so this will be removed after v29.

Attributes Documentation

bad_mask_planes#: Mask planes that count towards the masked fraction within a cell. (List, default ('BAD', 'NO_DATA', 'SAT', 'CLIPPED'))

calc_error_from_input_variance#: Calculate coadd variance from input variance by stacking statistic. Passed to AccumulatorMeanStack. (bool, default True)

connections: pexConfig.ConfigField#: Field which refers to a dynamically added configuration class which is based on a PipelineTaskConnections class.

do_calculate_weight_from_warp#: Calculate coadd weight from the input warp? Otherwise, the weight is obtained from the visitSummaryList connection. This is meant as a fallback when run outside the pipeline. (bool, default False)

do_coadd_inverse_aperture_corrections#: Coadd the inverse aperture corrections for each cell? This is formally the more accurate way but may be turned off for parity with deepCoadd. (bool, default False)

do_interpolate_coadd#: Interpolate over pixels with NO_DATA mask set? (bool, default True)

do_scale_zero_point#: Scale warps to a common zero point? This is not needed if they have absolute flux calibration. Deprecated: Now that visits are scaled to nJy it is no longer necessary or recommended to scale the zero point, so this will be removed after v29. (bool, default False)

do_use_artifact_mask#: Substitute the mask planes input warp with an alternative artifact mask? (bool, default True)

interpolate_coadd#: Task to interpolate (and extrapolate) over pixels with NO_DATA mask on cell coadds (ConfigurableInstance, default <class 'lsst.pipe.tasks.interpImage.InterpImageConfig'>)

mask_propagation_thresholds#: Threshold (in fractional weight) of rejection at which we propagate a mask plane to the coadd; that is, we set the mask bit on the coadd if the fraction the rejected frames would have contributed exceeds this value. (Dict, default {'SAT': 0.1})

max_maskfrac#

Maximum fraction of masked pixels in a cell. This is currently just a placeholder and is not used now (float, default 0.99)

Valid Range = [0.0,1.0)

min_overlap_fraction#

The minimum overlap fraction required for a single (visit, detector) input to be included in a cell. (float, default 1.0)

Valid Range = [0.0,1.0]

num_noise_realizations#: Number of noise planes to include in the coadd. This should not exceed the corresponding config parameter specified in MakeDirectWarpConfig. (int, default 0)

psf_dimensions#: Dimensions of the PSF image stamp size to be assigned to cells (must be odd). (int, default 35)

psf_warper#: Configuration for the warper that warps the PSFs. It must have the same configuration used to warp the images. (WarperConfig, default <class 'lsst.afw.math._warper.WarperConfig'>)

remove_mask_planes#: Mask planes to remove before coadding (List, default ['NOT_DEBLENDED'])

saveLogOutput#: Flag to enable/disable saving of log output for a task, enabled by default. (bool, default True)

scale_zero_point#: Task to scale warps to a common zero point Deprecated: Now that visits are scaled to nJy it is no longer necessary or recommended to scale the zero point, so this will be removed after v29. (ConfigurableInstance, default <class 'lsst.pipe.tasks.scaleZeroPoint.ScaleZeroPointConfig'>)