xlens.processor.anacal

Classes

AnacalConfig
AnacalTask	Measure Fpfs FPFS observables

Module Contents

class AnacalConfig

Bases: lsst.pex.config.Config

npix

bound

sigma_arcsec

snr_min

num_epochs

force_size

force_center

validate_psf

p_min

omega_p

do_noise_bias_correction

do_fpfs

badMaskPlanes

noiseId

rotId

psf_model_type

validate()

setDefaults()

class AnacalTask(**kwargs: Any)

Bases: lsst.pipe.base.Task

Measure Fpfs FPFS observables

_DefaultName = 'AnacalTask'

ConfigClass

config_kwargs

run(*, pixel_scale: float, mag_zero: float, noise_variance: float, gal_array: numpy.typing.NDArray, psf_array: numpy.typing.NDArray, mask_array: numpy.typing.NDArray, noise_array: numpy.typing.NDArray | None, begin_x: int = 0, begin_y: int = 0, wcs: lsst.afw.geom.SkyWcs | None = None, skyMap=None, tractInfo=None, patchInfo=None, detection: numpy.typing.NDArray | None, lsst_psf=None, blocks, **kwargs)

prepare_cell_data(cell_coadd)

prepare_data(*, exposure: lsst.afw.image.ExposureF, seed: int, band: str | None, noise_corr: numpy.typing.NDArray | None = None, skyMap=None, tract: int = 0, patch: int = 0, star_cat: numpy.typing.NDArray | None = None, psf_array: numpy.typing.NDArray | None = None, mask_array: numpy.typing.NDArray | None = None, noise_array: numpy.typing.NDArray | None = None, detection: astropy.table.Table | None = None, blocks: list | None = None, **kwargs)

Prepares the data from LSST exposure Args: exposure (ExposureF): LSST exposure seed (int): random seed noise_corr (NDArray): image noise correlation function (None) tractInfo: tract information patchInfo: patch information

Returns:

(dict)