lsst.meas.algorithms g728939a55c+71a2f45ad6
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Public Member Functions | Static Public Attributes | List of all members
lsst.meas.algorithms.noise_covariance.ComputeNoiseCorrelationConfig Class Reference
Inheritance diagram for lsst.meas.algorithms.noise_covariance.ComputeNoiseCorrelationConfig:

Public Member Functions

 setDefaults (self)
 

Static Public Attributes

 background
 
 maskPlanes
 
 size = Field[int](default=5, doc="Size of the correlation matrix to produce")
 
 scaleEmpiricalVariance
 
 subtractEmpiricalMean
 

Detailed Description

Definition at line 68 of file noise_covariance.py.

Member Function Documentation

◆ setDefaults()

lsst.meas.algorithms.noise_covariance.ComputeNoiseCorrelationConfig.setDefaults (   self)

Definition at line 88 of file noise_covariance.py.

Member Data Documentation

◆ background

lsst.meas.algorithms.noise_covariance.ComputeNoiseCorrelationConfig.background
static
Initial value:
= ConfigurableField(
target=SubtractBackgroundTask, doc="Background subtraction"
)

Definition at line 69 of file noise_covariance.py.

◆ maskPlanes

lsst.meas.algorithms.noise_covariance.ComputeNoiseCorrelationConfig.maskPlanes
static
Initial value:
= ListField[str](
default=["DETECTED", "DETECTED_NEGATIVE", "BAD", "SAT", "NO_DATA", "INTRP"],
doc="Mask planes for pixels to ignore when calculating correlations",
)

Definition at line 72 of file noise_covariance.py.

◆ scaleEmpiricalVariance

lsst.meas.algorithms.noise_covariance.ComputeNoiseCorrelationConfig.scaleEmpiricalVariance
static
Initial value:
= Field[bool](
default=False,
doc=(
"Scale down the correlation coefficients x by the empirical variance of the background "
"in addition to the variance plane?"
),
)

Definition at line 77 of file noise_covariance.py.

◆ size

lsst.meas.algorithms.noise_covariance.ComputeNoiseCorrelationConfig.size = Field[int](default=5, doc="Size of the correlation matrix to produce")
static

Definition at line 76 of file noise_covariance.py.

◆ subtractEmpiricalMean

lsst.meas.algorithms.noise_covariance.ComputeNoiseCorrelationConfig.subtractEmpiricalMean
static
Initial value:
= Field[bool](
default=False, doc="Subtract the empirical mean in addition to the background?"
)

Definition at line 84 of file noise_covariance.py.


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