lsst.pipe.tasks gcf00bf066d+4f59a27f16
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lsst.pipe.tasks.calibrateImage.CalibrateImageConfig Class Reference
Inheritance diagram for lsst.pipe.tasks.calibrateImage.CalibrateImageConfig:
lsst.pipe.tasks.calibrateImage.CalibrateImageConnections

Public Member Functions

 setDefaults (self)
 
 validate (self)
 

Static Public Attributes

 optional_outputs
 
 id_generator = lsst.meas.base.DetectorVisitIdGeneratorConfig.make_field()
 
 snap_combine
 
 install_simple_psf
 
 psf_repair
 
 psf_subtract_background
 
 psf_detection
 
 do_adaptive_threshold_detection
 
 psf_adaptive_threshold_detection
 
 psf_source_measurement
 
 psf_measure_psf
 
 psf_normalized_calibration_flux
 
 measure_aperture_correction
 
 star_background
 
 star_background_min_footprints
 
 star_background_peak_fraction
 
 star_detection
 
 star_sky_sources
 
 do_downsample_footprints
 
 downsample_max_footprints
 
 star_deblend
 
 star_measurement
 
 star_normalized_calibration_flux
 
 star_apply_aperture_correction
 
 star_catalog_calculation
 
 star_set_primary_flags
 
 star_selector
 
 astrometry
 
 astrometry_ref_loader
 
 photometry
 
 photometry_ref_loader
 
 doMaskDiffractionSpikes
 
 diffractionSpikeMask
 
 compute_summary_stats
 
 do_illumination_correction
 
 do_calibrate_pixels
 
 do_include_astrometric_errors
 
 background_stats_ignored_pixel_masks
 
 run_sattle
 
 sattle_historical
 
 useButlerCamera
 
 background_stats_flux_column
 
 astrometry_ref_cat
 
 photometry_ref_cat
 
 camera_model
 
 exposures
 
 background_flat
 
 illumination_correction
 
 initial_stars_schema
 
 exposure
 
 stars
 
 stars_footprints
 
 applied_photo_calib
 
 background
 
 background_to_photometric_ratio
 
 mask
 
 psf_stars_footprints
 
 psf_stars
 
 astrometry_matches
 
 photometry_matches
 

Detailed Description

Definition at line 258 of file calibrateImage.py.

Member Function Documentation

◆ setDefaults()

lsst.pipe.tasks.calibrateImage.CalibrateImageConfig.setDefaults ( self)

Definition at line 495 of file calibrateImage.py.

◆ validate()

lsst.pipe.tasks.calibrateImage.CalibrateImageConfig.validate ( self)

Definition at line 601 of file calibrateImage.py.

Member Data Documentation

◆ applied_photo_calib

lsst.pipe.tasks.calibrateImage.CalibrateImageConnections.applied_photo_calib
staticinherited
Initial value:
= connectionTypes.Output(
doc=(
"Photometric calibration that was applied to exposure's pixels. "
"This connection is disabled when do_calibrate_pixels=False."
),
name="initial_photoCalib_detector",
storageClass="PhotoCalib",
dimensions=("instrument", "visit", "detector"),
)

Definition at line 178 of file calibrateImage.py.

◆ astrometry

lsst.pipe.tasks.calibrateImage.CalibrateImageConfig.astrometry
static
Initial value:
= pexConfig.ConfigurableField(
target=lsst.meas.astrom.AstrometryTask,
doc="Task to perform astrometric calibration to fit a WCS.",
)

Definition at line 397 of file calibrateImage.py.

◆ astrometry_matches

lsst.pipe.tasks.calibrateImage.CalibrateImageConnections.astrometry_matches
staticinherited
Initial value:
= connectionTypes.Output(
doc="Source to reference catalog matches from the astrometry solver.",
name="initial_astrometry_match_detector",
storageClass="Catalog",
dimensions=("instrument", "visit", "detector"),
)

Definition at line 223 of file calibrateImage.py.

◆ astrometry_ref_cat

lsst.pipe.tasks.calibrateImage.CalibrateImageConnections.astrometry_ref_cat
staticinherited
Initial value:
= connectionTypes.PrerequisiteInput(
doc="Reference catalog to use for astrometric calibration.",
name="gaia_dr3_20230707",
storageClass="SimpleCatalog",
dimensions=("skypix",),
deferLoad=True,
multiple=True,
)

Definition at line 101 of file calibrateImage.py.

◆ astrometry_ref_loader

lsst.pipe.tasks.calibrateImage.CalibrateImageConfig.astrometry_ref_loader
static
Initial value:
= pexConfig.ConfigField(
dtype=lsst.meas.algorithms.LoadReferenceObjectsConfig,
doc="Configuration of reference object loader for astrometric fit.",
)

Definition at line 401 of file calibrateImage.py.

◆ background

lsst.pipe.tasks.calibrateImage.CalibrateImageConnections.background
staticinherited
Initial value:
= connectionTypes.Output(
doc="Background models estimated during calibration task; calibrated to be in nJy units.",
name="initial_pvi_background",
storageClass="Background",
dimensions=("instrument", "visit", "detector"),
)

Definition at line 187 of file calibrateImage.py.

◆ background_flat

lsst.pipe.tasks.calibrateImage.CalibrateImageConnections.background_flat
staticinherited
Initial value:
= connectionTypes.PrerequisiteInput(
name="flat",
doc="Flat calibration frame used for background correction.",
storageClass="ExposureF",
dimensions=["instrument", "detector", "physical_filter"],
isCalibration=True,
)

Definition at line 133 of file calibrateImage.py.

◆ background_stats_flux_column

lsst.pipe.tasks.calibrateImage.CalibrateImageConfig.background_stats_flux_column
static
Initial value:
= pexConfig.Field(
dtype=str,
default="base_CircularApertureFlux_12_0_flux",
doc="Column used to generate post-subtracted background stats."
)

Definition at line 489 of file calibrateImage.py.

◆ background_stats_ignored_pixel_masks

lsst.pipe.tasks.calibrateImage.CalibrateImageConfig.background_stats_ignored_pixel_masks
static
Initial value:
= pexConfig.ListField(
dtype=str,
default=["SAT", "SUSPECT", "SPIKE"],
doc="Pixel mask flags to ignore when calculating post-sky-subtraction "
"background statistics. These are added to those ignored by the "
"meas.algorithms.SubtractBackgroundConfig algorithm."
)

Definition at line 456 of file calibrateImage.py.

◆ background_to_photometric_ratio

lsst.pipe.tasks.calibrateImage.CalibrateImageConnections.background_to_photometric_ratio
staticinherited
Initial value:
= connectionTypes.Output(
doc="Ratio of a background-flattened image to a photometric-flattened image. Only persisted "
"if do_illumination_correction is True.",
name="background_to_photometric_ratio",
storageClass="Image",
dimensions=("instrument", "visit", "detector"),
)

Definition at line 193 of file calibrateImage.py.

◆ camera_model

lsst.pipe.tasks.calibrateImage.CalibrateImageConnections.camera_model
staticinherited
Initial value:
= connectionTypes.PrerequisiteInput(
doc="Camera distortion model to use for astrometric calibration.",
name="astrometry_camera",
storageClass="Camera",
dimensions=("instrument", "physical_filter"),
isCalibration=True,
minimum=0, # Can fall back on WCS already attached to exposure.
)

Definition at line 117 of file calibrateImage.py.

◆ compute_summary_stats

lsst.pipe.tasks.calibrateImage.CalibrateImageConfig.compute_summary_stats
static
Initial value:
= pexConfig.ConfigurableField(
target=computeExposureSummaryStats.ComputeExposureSummaryStatsTask,
doc="Task to to compute summary statistics on the calibrated exposure."
)

Definition at line 425 of file calibrateImage.py.

◆ diffractionSpikeMask

lsst.pipe.tasks.calibrateImage.CalibrateImageConfig.diffractionSpikeMask
static
Initial value:
= pexConfig.ConfigurableField(
target=diffractionSpikeMask.DiffractionSpikeMaskTask,
doc="Task to identify and mask the diffraction spikes of bright stars.",
)

Definition at line 420 of file calibrateImage.py.

◆ do_adaptive_threshold_detection

lsst.pipe.tasks.calibrateImage.CalibrateImageConfig.do_adaptive_threshold_detection
static
Initial value:
= pexConfig.Field(
dtype=bool,
default=True,
doc="Implement the adaptive detection thresholding approach?",
)

Definition at line 294 of file calibrateImage.py.

◆ do_calibrate_pixels

lsst.pipe.tasks.calibrateImage.CalibrateImageConfig.do_calibrate_pixels
static
Initial value:
= pexConfig.Field(
dtype=bool,
default=True,
doc=(
"If True, apply the photometric calibration to the image pixels "
"and background model, and attach an identity PhotoCalib to "
"the output image to reflect this. If False`, leave the image "
"and background uncalibrated and attach the PhotoCalib that maps "
"them to physical units."
)
)

Definition at line 438 of file calibrateImage.py.

◆ do_downsample_footprints

lsst.pipe.tasks.calibrateImage.CalibrateImageConfig.do_downsample_footprints
static
Initial value:
= pexConfig.Field(
dtype=bool,
default=False,
doc="Downsample footprints prior to deblending to optimize speed?",
)

Definition at line 355 of file calibrateImage.py.

◆ do_illumination_correction

lsst.pipe.tasks.calibrateImage.CalibrateImageConfig.do_illumination_correction
static
Initial value:
= pexConfig.Field(
dtype=bool,
default=False,
doc="If True, apply the illumination correction. This assumes that the "
"input image has already been flat-fielded such that it is suitable "
"for background subtraction.",
)

Definition at line 430 of file calibrateImage.py.

◆ do_include_astrometric_errors

lsst.pipe.tasks.calibrateImage.CalibrateImageConfig.do_include_astrometric_errors
static
Initial value:
= pexConfig.Field(
dtype=bool,
default=True,
doc="If True, include astrometric errors in the output catalog.",
)

Definition at line 450 of file calibrateImage.py.

◆ doMaskDiffractionSpikes

lsst.pipe.tasks.calibrateImage.CalibrateImageConfig.doMaskDiffractionSpikes
static
Initial value:
= pexConfig.Field(
dtype=bool,
default=False,
doc="If True, load the photometric reference catalog again but select "
"only bright stars. Use the bright star catalog to set the SPIKE "
"mask for regions likely contaminated by diffraction spikes.",
)

Definition at line 413 of file calibrateImage.py.

◆ downsample_max_footprints

lsst.pipe.tasks.calibrateImage.CalibrateImageConfig.downsample_max_footprints
static
Initial value:
= pexConfig.Field(
dtype=int,
default=1000,
doc="Maximum number of non-sky-source footprints to use if do_downsample_footprints is True,",
)

Definition at line 360 of file calibrateImage.py.

◆ exposure

lsst.pipe.tasks.calibrateImage.CalibrateImageConnections.exposure
staticinherited
Initial value:
= connectionTypes.Output(
doc="Photometrically calibrated, background-subtracted exposure with fitted calibrations and "
"summary statistics. To recover the original exposure, first add the background "
"(`initial_pvi_background`), and then uncalibrate (divide by `initial_photoCalib_detector`).",
name="initial_pvi",
storageClass="ExposureF",
dimensions=("instrument", "visit", "detector"),
)

Definition at line 157 of file calibrateImage.py.

◆ exposures

lsst.pipe.tasks.calibrateImage.CalibrateImageConnections.exposures
staticinherited
Initial value:
= connectionTypes.Input(
doc="Exposure (or two snaps) to be calibrated, and detected and measured on.",
name="postISRCCD",
storageClass="Exposure",
multiple=True, # to handle 1 exposure or 2 snaps
dimensions=["instrument", "exposure", "detector"],
)

Definition at line 125 of file calibrateImage.py.

◆ id_generator

lsst.pipe.tasks.calibrateImage.CalibrateImageConfig.id_generator = lsst.meas.base.DetectorVisitIdGeneratorConfig.make_field()
static

Definition at line 269 of file calibrateImage.py.

◆ illumination_correction

lsst.pipe.tasks.calibrateImage.CalibrateImageConnections.illumination_correction
staticinherited
Initial value:
= connectionTypes.PrerequisiteInput(
name="illuminationCorrection",
doc="Illumination correction frame.",
storageClass="Exposure",
dimensions=["instrument", "detector", "physical_filter"],
isCalibration=True,
)

Definition at line 140 of file calibrateImage.py.

◆ initial_stars_schema

lsst.pipe.tasks.calibrateImage.CalibrateImageConnections.initial_stars_schema
staticinherited
Initial value:
= connectionTypes.InitOutput(
doc="Schema of the output initial stars catalog.",
name="initial_stars_schema",
storageClass="SourceCatalog",
)

Definition at line 149 of file calibrateImage.py.

◆ install_simple_psf

lsst.pipe.tasks.calibrateImage.CalibrateImageConfig.install_simple_psf
static
Initial value:
= pexConfig.ConfigurableField(
doc="Task to install a simple PSF model into the input exposure to use "
"when detecting bright sources for PSF estimation.",
)

Definition at line 277 of file calibrateImage.py.

◆ mask

lsst.pipe.tasks.calibrateImage.CalibrateImageConnections.mask
staticinherited
Initial value:
= connectionTypes.Output(
doc="The mask plane of the calibrated exposure, written as a separate "
"output so that it can be passed to downstream tasks even if the "
"exposure is removed to save storage.",
name="preliminary_visit_mask",
storageClass="Mask",
dimensions=("instrument", "visit", "detector"),
)

Definition at line 202 of file calibrateImage.py.

◆ measure_aperture_correction

lsst.pipe.tasks.calibrateImage.CalibrateImageConfig.measure_aperture_correction
static
Initial value:
= pexConfig.ConfigurableField(
doc="Task to compute the aperture correction from the bright stars."
)

Definition at line 319 of file calibrateImage.py.

◆ optional_outputs

lsst.pipe.tasks.calibrateImage.CalibrateImageConfig.optional_outputs
static
Initial value:
= pexConfig.ListField(
doc="Which optional outputs to save (as their connection name)?",
dtype=str,
# TODO: note somewhere to disable this for benchmarking, but should
# we always have it on for production runs?
default=["psf_stars", "psf_stars_footprints", "astrometry_matches", "photometry_matches", "mask"],
optional=False
)

Definition at line 259 of file calibrateImage.py.

◆ photometry

lsst.pipe.tasks.calibrateImage.CalibrateImageConfig.photometry
static
Initial value:
= pexConfig.ConfigurableField(
target=photoCal.PhotoCalTask,
doc="Task to perform photometric calibration to fit a PhotoCalib.",
)

Definition at line 405 of file calibrateImage.py.

◆ photometry_matches

lsst.pipe.tasks.calibrateImage.CalibrateImageConnections.photometry_matches
staticinherited
Initial value:
= connectionTypes.Output(
doc="Source to reference catalog matches from the photometry solver.",
name="initial_photometry_match_detector",
storageClass="Catalog",
dimensions=("instrument", "visit", "detector"),
)

Definition at line 229 of file calibrateImage.py.

◆ photometry_ref_cat

lsst.pipe.tasks.calibrateImage.CalibrateImageConnections.photometry_ref_cat
staticinherited
Initial value:
= connectionTypes.PrerequisiteInput(
doc="Reference catalog to use for photometric calibration.",
name="ps1_pv3_3pi_20170110",
storageClass="SimpleCatalog",
dimensions=("skypix",),
deferLoad=True,
multiple=True
)

Definition at line 109 of file calibrateImage.py.

◆ photometry_ref_loader

lsst.pipe.tasks.calibrateImage.CalibrateImageConfig.photometry_ref_loader
static
Initial value:
= pexConfig.ConfigField(
dtype=lsst.meas.algorithms.LoadReferenceObjectsConfig,
doc="Configuration of reference object loader for photometric fit.",
)

Definition at line 409 of file calibrateImage.py.

◆ psf_adaptive_threshold_detection

lsst.pipe.tasks.calibrateImage.CalibrateImageConfig.psf_adaptive_threshold_detection
static
Initial value:
= pexConfig.ConfigurableField(
target=AdaptiveThresholdDetectionTask,
doc="Task to adaptively detect sources for PSF determination.",
)

Definition at line 299 of file calibrateImage.py.

◆ psf_detection

lsst.pipe.tasks.calibrateImage.CalibrateImageConfig.psf_detection
static
Initial value:
= pexConfig.ConfigurableField(
target=lsst.meas.algorithms.SourceDetectionTask,
doc="Task to detect sources for PSF determination."
)

Definition at line 290 of file calibrateImage.py.

◆ psf_measure_psf

lsst.pipe.tasks.calibrateImage.CalibrateImageConfig.psf_measure_psf
static
Initial value:
= pexConfig.ConfigurableField(
target=measurePsf.MeasurePsfTask,
doc="Task to measure the psf on bright sources."
)

Definition at line 307 of file calibrateImage.py.

◆ psf_normalized_calibration_flux

lsst.pipe.tasks.calibrateImage.CalibrateImageConfig.psf_normalized_calibration_flux
static
Initial value:
= pexConfig.ConfigurableField(
target=lsst.meas.algorithms.NormalizedCalibrationFluxTask,
doc="Task to normalize the calibration flux (e.g. compensated tophats) "
"for the bright stars used for psf estimation.",
)

Definition at line 311 of file calibrateImage.py.

◆ psf_repair

lsst.pipe.tasks.calibrateImage.CalibrateImageConfig.psf_repair
static
Initial value:
= pexConfig.ConfigurableField(
target=repair.RepairTask,
doc="Task to repair cosmic rays on the exposure before PSF determination.",
)

Definition at line 282 of file calibrateImage.py.

◆ psf_source_measurement

lsst.pipe.tasks.calibrateImage.CalibrateImageConfig.psf_source_measurement
static
Initial value:
= pexConfig.ConfigurableField(
target=lsst.meas.base.SingleFrameMeasurementTask,
doc="Task to measure sources to be used for psf estimation."
)

Definition at line 303 of file calibrateImage.py.

◆ psf_stars

lsst.pipe.tasks.calibrateImage.CalibrateImageConnections.psf_stars
staticinherited
Initial value:
= connectionTypes.Output(
doc="Catalog of bright unresolved sources detected on the exposure used for PSF determination.",
name="initial_psf_stars_detector",
storageClass="ArrowAstropy",
dimensions=["instrument", "visit", "detector"],
)

Definition at line 217 of file calibrateImage.py.

◆ psf_stars_footprints

lsst.pipe.tasks.calibrateImage.CalibrateImageConnections.psf_stars_footprints
staticinherited
Initial value:
= connectionTypes.Output(
doc="Catalog of bright unresolved sources detected on the exposure used for PSF determination; "
"includes source footprints.",
name="initial_psf_stars_footprints_detector",
storageClass="SourceCatalog",
dimensions=["instrument", "visit", "detector"],
)

Definition at line 210 of file calibrateImage.py.

◆ psf_subtract_background

lsst.pipe.tasks.calibrateImage.CalibrateImageConfig.psf_subtract_background
static
Initial value:
= pexConfig.ConfigurableField(
target=lsst.meas.algorithms.SubtractBackgroundTask,
doc="Task to perform initial background subtraction, before first detection pass.",
)

Definition at line 286 of file calibrateImage.py.

◆ run_sattle

lsst.pipe.tasks.calibrateImage.CalibrateImageConfig.run_sattle
static
Initial value:
= pexConfig.Field(
dtype=bool,
default=False,
doc="If True, the sattle service will populate a cache for later use "
"in ip_diffim.detectAndMeasure alert verification."
)

Definition at line 464 of file calibrateImage.py.

◆ sattle_historical

lsst.pipe.tasks.calibrateImage.CalibrateImageConfig.sattle_historical
static
Initial value:
= pexConfig.Field(
dtype=bool,
default=False,
doc="If re-running a pipeline that requires sattle, this should be set "
"to True. This will populate sattle's cache with the historic data "
"closest in time to the exposure.",
)

Definition at line 471 of file calibrateImage.py.

◆ snap_combine

lsst.pipe.tasks.calibrateImage.CalibrateImageConfig.snap_combine
static
Initial value:
= pexConfig.ConfigurableField(
target=snapCombine.SnapCombineTask,
doc="Task to combine two snaps to make one exposure.",
)

Definition at line 271 of file calibrateImage.py.

◆ star_apply_aperture_correction

lsst.pipe.tasks.calibrateImage.CalibrateImageConfig.star_apply_aperture_correction
static
Initial value:
= pexConfig.ConfigurableField(
target=lsst.meas.base.ApplyApCorrTask,
doc="Task to apply aperture corrections to the selected stars."
)

Definition at line 378 of file calibrateImage.py.

◆ star_background

lsst.pipe.tasks.calibrateImage.CalibrateImageConfig.star_background
static
Initial value:
= pexConfig.ConfigurableField(
target=lsst.meas.algorithms.SubtractBackgroundTask,
doc="Task to perform final background subtraction, just before photoCal.",
)

Definition at line 325 of file calibrateImage.py.

◆ star_background_min_footprints

lsst.pipe.tasks.calibrateImage.CalibrateImageConfig.star_background_min_footprints
static
Initial value:
= pexConfig.Field(
dtype=int,
default=3,
doc="Minimum number of footprints in the detection mask for star_background measurement. "
"This number will get adjusted to the fraction config.star_background_peak_fraction "
"of the detected peaks if that number is larger. If the number of footprints is less "
"than the minimum, the detection threshold is iteratively increased until the "
"threshold is met.",
)

Definition at line 329 of file calibrateImage.py.

◆ star_background_peak_fraction

lsst.pipe.tasks.calibrateImage.CalibrateImageConfig.star_background_peak_fraction
static
Initial value:
= pexConfig.Field(
dtype=float,
default=0.01,
doc="The minimum number of footprints in the detection mask for star_background measurement. "
"gets set to the maximum of this fraction of the detected peaks and the value set in "
"config.star_background_min_footprints. If the number of footprints is less than the "
"current minimum set, the detection threshold is iteratively increased until the "
"threshold is met.",
)

Definition at line 338 of file calibrateImage.py.

◆ star_catalog_calculation

lsst.pipe.tasks.calibrateImage.CalibrateImageConfig.star_catalog_calculation
static
Initial value:
= pexConfig.ConfigurableField(
target=lsst.meas.base.CatalogCalculationTask,
doc="Task to compute extendedness values on the star catalog, "
"for the star selector to remove extended sources."
)

Definition at line 382 of file calibrateImage.py.

◆ star_deblend

lsst.pipe.tasks.calibrateImage.CalibrateImageConfig.star_deblend
static
Initial value:
= pexConfig.ConfigurableField(
target=lsst.meas.deblender.SourceDeblendTask,
doc="Split blended sources into their components."
)

Definition at line 365 of file calibrateImage.py.

◆ star_detection

lsst.pipe.tasks.calibrateImage.CalibrateImageConfig.star_detection
static
Initial value:
= pexConfig.ConfigurableField(
target=lsst.meas.algorithms.SourceDetectionTask,
doc="Task to detect stars to return in the output catalog."
)

Definition at line 347 of file calibrateImage.py.

◆ star_measurement

lsst.pipe.tasks.calibrateImage.CalibrateImageConfig.star_measurement
static
Initial value:
= pexConfig.ConfigurableField(
target=lsst.meas.base.SingleFrameMeasurementTask,
doc="Task to measure stars to return in the output catalog."
)

Definition at line 369 of file calibrateImage.py.

◆ star_normalized_calibration_flux

lsst.pipe.tasks.calibrateImage.CalibrateImageConfig.star_normalized_calibration_flux
static
Initial value:
= pexConfig.ConfigurableField(
target=lsst.meas.algorithms.NormalizedCalibrationFluxTask,
doc="Task to apply the normalization for calibration fluxes (e.g. compensated tophats) "
"for the final output star catalog.",
)

Definition at line 373 of file calibrateImage.py.

◆ star_selector

lsst.pipe.tasks.calibrateImage.CalibrateImageConfig.star_selector
static
Initial value:
= lsst.meas.algorithms.sourceSelectorRegistry.makeField(
default="science",
doc="Task to select reliable stars to use for calibration."
)

Definition at line 391 of file calibrateImage.py.

◆ star_set_primary_flags

lsst.pipe.tasks.calibrateImage.CalibrateImageConfig.star_set_primary_flags
static
Initial value:
= pexConfig.ConfigurableField(
doc="Task to add isPrimary to the catalog."
)

Definition at line 387 of file calibrateImage.py.

◆ star_sky_sources

lsst.pipe.tasks.calibrateImage.CalibrateImageConfig.star_sky_sources
static
Initial value:
= pexConfig.ConfigurableField(
target=lsst.meas.algorithms.SkyObjectsTask,
doc="Task to generate sky sources ('empty' regions where there are no detections).",
)

Definition at line 351 of file calibrateImage.py.

◆ stars

lsst.pipe.tasks.calibrateImage.CalibrateImageConnections.stars
staticinherited
Initial value:
= connectionTypes.Output(
doc="Catalog of unresolved sources detected on the calibrated exposure.",
name="initial_stars_detector",
storageClass="ArrowAstropy",
dimensions=["instrument", "visit", "detector"],
)

Definition at line 165 of file calibrateImage.py.

◆ stars_footprints

lsst.pipe.tasks.calibrateImage.CalibrateImageConnections.stars_footprints
staticinherited
Initial value:
= connectionTypes.Output(
doc="Catalog of unresolved sources detected on the calibrated exposure; "
"includes source footprints.",
name="initial_stars_footprints_detector",
storageClass="SourceCatalog",
dimensions=["instrument", "visit", "detector"],
)

Definition at line 171 of file calibrateImage.py.

◆ useButlerCamera

lsst.pipe.tasks.calibrateImage.CalibrateImageConfig.useButlerCamera
static
Initial value:
= pexConfig.Field(
dtype=bool,
default=False,
doc="If True, use a camera distortion model generated elsewhere in "
"the pipeline combined with the telescope boresight as a starting "
"point for fitting the WCS, instead of using the WCS attached to "
"the exposure, which is generated from the boresight and the "
"camera model from the obs_* package."
)

Definition at line 479 of file calibrateImage.py.


The documentation for this class was generated from the following file: