xlens.analysis.selbias_redshift

Selection-bias measurements aggregated in photometric-redshift bins.

Classes

`SelBiasRedshiftPipeConnections`
`SelBiasRedshiftPipeConfig`
`SelBiasRedshiftPipe`
`SelBiasRedshiftSummaryPipeConnections`
`SelBiasRedshiftSummaryPipeConfig`
`SelBiasRedshiftSummaryPipe`

Module Contents

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

Bases: lsst.pipe.base.PipelineTaskConnections

src00[source]

src01[source]

src10[source]

src11[source]

summary[source]

class SelBiasRedshiftPipeConfig[source]

Bases: lsst.pipe.base.PipelineTaskConfig

do_correct_selection_bias[source]

target[source]

shear_value[source]

flux_min[source]

zbounds[source]

emax[source]

dg[source]

z_width95_max[source]

mag_zero[source]

flux_name[source]

bands[source]

ref_band[source]

redshift_estimator[source]

model_path[source]

bpz_data_path[source]

filter_name[source]

validate()[source]

class SelBiasRedshiftPipe(*, config: SelBiasRedshiftPipeConfig | 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

_DefaultName = 'FpfsSelBiasRedshiftTask'[source]

ConfigClass[source]

_zbounds[source]

_ncut[source]

_z_estimator[source]

_init_z_estimator()[source]

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

_measure_catalog(src) → tuple[numpy.ndarray, numpy.ndarray][source]

_accumulate_pair(catalogs: Iterable[numpy.ndarray | None]) → tuple[numpy.ndarray, numpy.ndarray][source]

run(*, src00, src10, src01=None, src11=None, **kwargs)[source]

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

Bases: lsst.pipe.base.PipelineTaskConnections

summary_list[source]

class SelBiasRedshiftSummaryPipeConfig[source]

Bases: lsst.pipe.base.PipelineTaskConfig

shear_value[source]

stamp_dim[source]

pixel_scale[source]

bootstrap_samples[source]

zbounds[source]

validate()[source]

class SelBiasRedshiftSummaryPipe(*, config: SelBiasRedshiftSummaryPipeConfig | 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

_DefaultName = 'FpfsSelBiasRedshiftSummaryTask'[source]

ConfigClass[source]

_ncut[source]

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

static _stack(blocks: List[numpy.ndarray], ncut: int) → numpy.ndarray[source]

run(*, summary_list, **kwargs)[source]