Inheritance diagram for lsst.ip.diffim.psfMatch.PsfMatchConfigDF:
Public Member Functions | |
| def | setDefaults (self) |
Public Attributes | |
| kernelBasisSet | |
| maxConditionNumber | |
| usePcaForSpatialKernel | |
| subtractMeanForPca | |
| useBicForKernelBasis | |
Detailed Description
The parameters specific to the delta-function (one basis per-pixel) Psf-matching basis
Definition at line 431 of file psfMatch.py.
Member Function Documentation
◆ setDefaults()
| def lsst.ip.diffim.psfMatch.PsfMatchConfigDF.setDefaults | ( | self | ) |
Reimplemented in lsst.ip.diffim.snapPsfMatch.SnapPsfMatchConfigDF.
Definition at line 434 of file psfMatch.py.
Member Data Documentation
◆ afwBackgroundConfig
|
staticinherited |
Initial value:
= pexConfig.ConfigField("Controlling the Afw background fitting",
SubtractBackgroundConfig)
Definition at line 132 of file psfMatch.py.
◆ badMaskPlanes
|
staticinherited |
Initial value:
= pexConfig.ListField(
dtype=str,
doc=,
default=("NO_DATA", "EDGE", "SAT")
)
Definition at line 279 of file psfMatch.py.
◆ calculateKernelUncertainty
|
staticinherited |
Initial value:
= pexConfig.Field(
dtype=bool,
doc=,
default=False,
)
Definition at line 356 of file psfMatch.py.
◆ candidateCoreRadius
|
staticinherited |
Initial value:
= pexConfig.Field(
dtype=int,
doc=,
default=3,
check=lambda x: x >= 1
)
Definition at line 307 of file psfMatch.py.
◆ candidateResidualMeanMax
|
staticinherited |
Initial value:
= pexConfig.Field(
dtype=float,
doc=,
default=0.25,
check=lambda x: x >= 0.0
)
Definition at line 285 of file psfMatch.py.
◆ candidateResidualStdMax
|
staticinherited |
Initial value:
= pexConfig.Field(
dtype=float,
doc=,
default=1.50,
check=lambda x: x >= 0.0
)
Definition at line 293 of file psfMatch.py.
◆ centralRegularizationStencil
|
static |
Initial value:
= pexConfig.ChoiceField(
dtype=int,
doc="Type of stencil to approximate central derivative (for centralDifference only)",
default=9,
allowed={
5: "5-point stencil including only adjacent-in-x,y elements",
9: "9-point stencil including diagonal elements"
}
)
Definition at line 456 of file psfMatch.py.
◆ checkConditionNumber
|
staticinherited |
Initial value:
= pexConfig.Field(
dtype=bool,
doc=,
default=False,
)
Definition at line 270 of file psfMatch.py.
◆ conditionNumberType
|
staticinherited |
Initial value:
= pexConfig.ChoiceField(
dtype=str,
doc="Use singular values (SVD) or eigen values (EIGENVALUE) to determine condition number",
default="EIGENVALUE",
allowed={
"SVD": "Use singular values",
"EIGENVALUE": "Use eigen values (faster)",
}
)
Definition at line 329 of file psfMatch.py.
◆ constantVarianceWeighting
|
staticinherited |
Initial value:
= pexConfig.Field(
dtype=bool,
doc=,
default=True,
)
Definition at line 350 of file psfMatch.py.
◆ detectionConfig
|
staticinherited |
Initial value:
= pexConfig.ConfigField("Controlling the detection of sources for kernel building",
DetectionConfig)
Definition at line 130 of file psfMatch.py.
◆ fitForBackground
|
staticinherited |
Initial value:
= pexConfig.Field(
dtype=bool,
doc="Include terms (including kernel cross terms) for background in ip_diffim",
default=False,
)
Definition at line 140 of file psfMatch.py.
◆ forwardRegularizationOrders
|
static |
Initial value:
= pexConfig.ListField(
dtype=int,
doc="Array showing which order derivatives to penalize (for forwardDifference only)",
default=(1, 2),
itemCheck=lambda x: (x > 0) and (x < 4)
)
Definition at line 465 of file psfMatch.py.
◆ iterateSingleKernel
|
staticinherited |
Initial value:
= pexConfig.Field(
dtype=bool,
doc=,
default=False,
)
Definition at line 344 of file psfMatch.py.
◆ kernelBasisSet
| lsst.ip.diffim.psfMatch.PsfMatchConfigDF.kernelBasisSet |
Definition at line 436 of file psfMatch.py.
◆ kernelSize
|
staticinherited |
Initial value:
= pexConfig.Field(
dtype=int,
doc=,
default=21,
)
Definition at line 160 of file psfMatch.py.
◆ kernelSizeFwhmScaling
|
staticinherited |
Initial value:
= pexConfig.Field(
dtype=float,
doc="Multiplier of the largest AL Gaussian basis sigma to get the kernel bbox (pixel) size.",
default=6.0,
check=lambda x: x >= 1.0
)
Definition at line 171 of file psfMatch.py.
◆ kernelSizeMax
|
staticinherited |
Initial value:
= pexConfig.Field(
dtype=int,
doc="Maximum kernel bbox (pixel) size.",
default=35,
)
Definition at line 182 of file psfMatch.py.
◆ kernelSizeMin
|
staticinherited |
Initial value:
= pexConfig.Field(
dtype=int,
doc="Minimum kernel bbox (pixel) size.",
default=21,
)
Definition at line 177 of file psfMatch.py.
◆ kernelSumClipping
|
staticinherited |
Initial value:
= pexConfig.Field(
dtype=bool,
doc="Do sigma clipping on the ensemble of kernel sums",
default=True,
)
Definition at line 260 of file psfMatch.py.
◆ lambdaMax
|
static |
Initial value:
= pexConfig.Field(
dtype=float,
doc=,
default=2.0,
)
Definition at line 514 of file psfMatch.py.
◆ lambdaMin
|
static |
Initial value:
= pexConfig.Field(
dtype=float,
doc=,
default=-1.0,
)
Definition at line 508 of file psfMatch.py.
◆ lambdaScaling
|
static |
Initial value:
= pexConfig.Field(
dtype=float,
doc="Fraction of the default lambda strength (N.R. 18.5.8) to use. 1e-4 or 1e-5",
default=1e-4,
)
Definition at line 493 of file psfMatch.py.
◆ lambdaStep
|
static |
Initial value:
= pexConfig.Field(
dtype=float,
doc=,
default=0.1,
)
Definition at line 520 of file psfMatch.py.
◆ lambdaStepType
|
static |
Initial value:
= pexConfig.ChoiceField(
dtype=str,
doc=,
default="log",
allowed={
"log": "Step in log intervals; e.g. lambdaMin, lambdaMax, lambdaStep = -1.0, 2.0, 0.1",
"linear": "Step in linear intervals; e.g. lambdaMin, lambdaMax, lambdaStep = 0.1, 100, 0.1",
}
)
Definition at line 498 of file psfMatch.py.
◆ lambdaType
|
static |
Initial value:
= pexConfig.ChoiceField(
dtype=str,
doc="How to choose the value of the regularization strength",
default="absolute",
allowed={
"absolute": "Use lambdaValue as the value of regularization strength",
"relative": "Use lambdaValue as fraction of the default regularization strength (N.R. 18.5.8)",
"minimizeBiasedRisk": "Minimize biased risk estimate",
"minimizeUnbiasedRisk": "Minimize unbiased risk estimate",
}
)
Definition at line 477 of file psfMatch.py.
◆ lambdaValue
|
static |
Initial value:
= pexConfig.Field(
dtype=float,
doc="Value used for absolute determinations of regularization strength",
default=0.2,
)
Definition at line 488 of file psfMatch.py.
◆ maxConditionNumber
| lsst.ip.diffim.psfMatch.PsfMatchConfigDF.maxConditionNumber |
Definition at line 437 of file psfMatch.py.
◆ maxKsumSigma
|
staticinherited |
Initial value:
= pexConfig.Field(
dtype=float,
doc=,
default=3.0,
check=lambda x: x >= 0.0
)
Definition at line 316 of file psfMatch.py.
◆ maxSpatialConditionNumber
|
staticinherited |
Initial value:
= pexConfig.Field(
dtype=float,
doc="Maximum condition number for a well conditioned spatial matrix",
default=1.0e10,
check=lambda x: x >= 0.0
)
Definition at line 338 of file psfMatch.py.
◆ maxSpatialIterations
|
staticinherited |
Initial value:
= pexConfig.Field(
dtype=int,
doc="Maximum number of iterations for rejecting bad KernelCandidates in spatial fitting",
default=3,
check=lambda x: x >= 1 and x <= 5
)
Definition at line 226 of file psfMatch.py.
◆ nStarPerCell
|
staticinherited |
Initial value:
= pexConfig.Field(
dtype=int,
doc="Number of KernelCandidates in each SpatialCell to use in the spatial fitting",
default=3,
check=lambda x: x >= 1
)
Definition at line 220 of file psfMatch.py.
◆ numPrincipalComponents
|
staticinherited |
Initial value:
= pexConfig.Field(
dtype=int,
doc=,
default=5,
check=lambda x: x >= 3
)
Definition at line 248 of file psfMatch.py.
◆ regularizationBorderPenalty
|
static |
Initial value:
= pexConfig.Field(
dtype=float,
doc="Value of the penalty for kernel border pixels",
default=3.0,
check=lambda x: x >= 0.0
)
Definition at line 471 of file psfMatch.py.
◆ regularizationType
|
static |
Initial value:
= pexConfig.ChoiceField(
dtype=str,
doc="Type of regularization.",
default="centralDifference",
allowed={
"centralDifference": "Penalize second derivative using 2-D stencil of central finite difference",
"forwardDifference": "Penalize first, second, third derivatives using forward finite differeces"
}
)
Definition at line 447 of file psfMatch.py.
◆ scaleByFwhm
|
staticinherited |
Initial value:
= pexConfig.Field(
dtype=bool,
doc="Scale kernelSize, alardGaussians by input Fwhm",
default=True,
)
Definition at line 166 of file psfMatch.py.
◆ singleKernelClipping
|
staticinherited |
Initial value:
= pexConfig.Field(
dtype=bool,
doc="Do sigma clipping on each raw kernel candidate",
default=True,
)
Definition at line 255 of file psfMatch.py.
◆ sizeCellX
|
staticinherited |
Initial value:
= pexConfig.Field(
dtype=int,
doc="Size (rows) in pixels of each SpatialCell for spatial modeling",
default=128,
check=lambda x: x >= 32
)
Definition at line 208 of file psfMatch.py.
◆ sizeCellY
|
staticinherited |
Initial value:
= pexConfig.Field(
dtype=int,
doc="Size (columns) in pixels of each SpatialCell for spatial modeling",
default=128,
check=lambda x: x >= 32
)
Definition at line 214 of file psfMatch.py.
◆ spatialBgOrder
|
staticinherited |
Initial value:
= pexConfig.Field(
dtype=int,
doc="Spatial order of differential background variation",
default=1,
check=lambda x: x >= 0
)
Definition at line 202 of file psfMatch.py.
◆ spatialKernelClipping
|
staticinherited |
Initial value:
= pexConfig.Field(
dtype=bool,
doc="Do sigma clipping after building the spatial model",
default=True,
)
Definition at line 265 of file psfMatch.py.
◆ spatialKernelOrder
|
staticinherited |
Initial value:
= pexConfig.Field(
dtype=int,
doc="Spatial order of convolution kernel variation",
default=2,
check=lambda x: x >= 0
)
Definition at line 196 of file psfMatch.py.
◆ spatialModelType
|
staticinherited |
Initial value:
= pexConfig.ChoiceField(
dtype=str,
doc="Type of spatial functions for kernel and background",
default="chebyshev1",
allowed={
"chebyshev1": "Chebyshev polynomial of the first kind",
"polynomial": "Standard x,y polynomial",
}
)
Definition at line 187 of file psfMatch.py.
◆ subtractMeanForPca
| lsst.ip.diffim.psfMatch.PsfMatchConfigDF.subtractMeanForPca |
Definition at line 439 of file psfMatch.py.
◆ useAfwBackground
|
staticinherited |
Initial value:
= pexConfig.Field(
dtype=bool,
doc="Use afw background subtraction instead of ip_diffim",
default=False,
)
Definition at line 135 of file psfMatch.py.
◆ useBicForKernelBasis
| lsst.ip.diffim.psfMatch.PsfMatchConfigDF.useBicForKernelBasis |
Definition at line 440 of file psfMatch.py.
◆ useCoreStats
|
staticinherited |
Initial value:
= pexConfig.Field(
dtype=bool,
doc=,
default=False,
)
Definition at line 301 of file psfMatch.py.
◆ usePcaForSpatialKernel
| lsst.ip.diffim.psfMatch.PsfMatchConfigDF.usePcaForSpatialKernel |
Definition at line 438 of file psfMatch.py.
◆ useRegularization
|
static |
Initial value:
= pexConfig.Field(
dtype=bool,
doc="Use regularization to smooth the delta function kernels",
default=True,
)
Definition at line 442 of file psfMatch.py.
◆ warpingConfig
|
staticinherited |
Initial value:
= pexConfig.ConfigField("Config for warping exposures to a common alignment",
Definition at line 128 of file psfMatch.py.
The documentation for this class was generated from the following file:
- /j/snowflake/release/lsstsw/stack/lsst-scipipe-0.7.0/Linux64/ip_diffim/22.0.1-24-g1ad7a390+a9625a72a8/python/lsst/ip/diffim/psfMatch.py
