lsst.meas.base.noiseReplacer.NoiseReplacerConfig Class Reference

Inheritance diagram for lsst.meas.base.noiseReplacer.NoiseReplacerConfig:

Static Public Attributes
	noiseSource
	noiseOffset
	noiseSeedMultiplier

Detailed Description

Noise replacement configuration.

Definition at line 32 of file noiseReplacer.py.

Member Data Documentation

noiseOffset

lsst.meas.base.noiseReplacer.NoiseReplacerConfig.noiseOffset

static

Initial value:

=  lsst.pex.config.Field(
        doc='Add ann offset to the generated noise.',
        dtype=float, optional=False, default=0.0
    )

Definition at line 46 of file noiseReplacer.py.

noiseSeedMultiplier

lsst.meas.base.noiseReplacer.NoiseReplacerConfig.noiseSeedMultiplier

static

Initial value:

=  lsst.pex.config.Field(
        dtype=int, default=1,
        doc="The seed multiplier value to use for random number generation:\n"
            ">= 1: set the seed deterministically based on exposureId\n"
            "0: fall back to the afw.math.Random default constructor (which uses a seed value of 1)"
    )

Definition at line 50 of file noiseReplacer.py.

noiseSource

lsst.meas.base.noiseReplacer.NoiseReplacerConfig.noiseSource

static

Initial value:

=  lsst.pex.config.ChoiceField(
        doc='How to choose mean and variance of the Gaussian noise we generate?',
        dtype=str,
        allowed={
            'measure': 'Measure clipped mean and variance from the whole image',
            'meta': 'Mean = 0, variance = the "BGMEAN" metadata entry',
            'variance': "Mean = 0, variance = the image's variance",
            'variance_median': "Mean = 0, variance = median(variance plane)"
        },
        default='measure', optional=False
    )

Definition at line 35 of file noiseReplacer.py.

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

• python/lsst/meas/base/noiseReplacer.py