xlens.processor.measure_sims

Classes

`MeasureSimsConnections`	Butler connections for `MeasureSimsTask`.
`MeasureSimsConfig`
`MeasureSimsTask`	Simulate coadds for multiple bands and run measurements sequentially.

Module Contents

class MeasureSimsConnections(*, config=None)[source]

Bases: lsst.pipe.base.PipelineTaskConnections

Butler connections for MeasureSimsTask.

skyMap[source]

truthCatalog[source]

psfArray[source]

noiseCorrArray[source]

systematicsMask[source]

output_catalog[source]

class MeasureSimsConfig[source]

Bases: lsst.pipe.base.PipelineTaskConfig

anacal[source]

fpfs[source]

simulator[source]

psfCache[source]

idGenerator[source]

validate()[source]

setDefaults()[source]

class MeasureSimsTask(*, config: MeasureSimsConfig | None = None, log: logging.Logger | lsst.utils.logging.LsstLogAdapter | None = None, initInputs: dict[str, Any] | None = None, **kwargs: Any)[source]

Bases: lsst.pipe.base.PipelineTask

Simulate coadds for multiple bands and run measurements sequentially.

_DefaultName = 'MeasureSimsTask'[source]

ConfigClass[source]

runQuantum(butlerQC, inputRefs, outputRefs)[source]

_load_noise_corr(corr_array: numpy.ndarray | None, band: str) → numpy.typing.NDArray | None[source]

_simulate_band(*, band: str, tract_info, patch: int, truthCatalog, seed: int, psf_array: numpy.typing.NDArray | None = None, corr_array: numpy.typing.NDArray | None = None, mask: lsst.afw.image.MaskX | None = None) → lsst.afw.image.ExposureF[source]

_detect(*, exposure: lsst.afw.image.ExposureF, band: str, noise_corr: numpy.typing.NDArray | None, skyMap, tract: int, patch: int, seed: int, mask_array: numpy.typing.NDArray | None) → numpy.ndarray[source]

_measure_band(*, exposure: lsst.afw.image.ExposureF, band: str, detection: numpy.typing.NDArray, noise_corr: numpy.typing.NDArray | None, skyMap, tract: int, patch: int, seed: int, mask_array: numpy.typing.NDArray | None) → numpy.typing.NDArray[source]

run(*, truthCatalog, skyMap, tract: int, patch: int, psf_array: numpy.typing.NDArray | None = None, corr_array: numpy.typing.NDArray | None = None, mask: lsst.afw.image.MaskX | None = None, **kwargs)[source]