ElectrostaticBrighterFatterSolveConfig#

class lsst.cp.pipe.ElectrostaticBrighterFatterSolveConfig(*args, **kw)#

Attributes Summary

`connections`	Field which refers to a dynamically added configuration class which is based on a PipelineTaskConnections class.
`doFitNormalizationOffset`	Do you want to fit an offset to the a matrix? This caused by long range correlations in the data.
`doNormalizeElectrostaticModel`	Do you want apply a final normalization to the modeled aMatrix? (`bool`, default `False`)
`fitMethod`	Minimization technique to fit the electrostatic solution.
`fitRange`	Maximum pixel range to compute the electrostatic fit.
`initialParametersDict`	Initial fit parameters, should contain `thickness`, `pixelsize`, `zq`, zsh`, `zsv`, `a`, `b`, `alpha`, and `beta`.
`nImageChargePairs`	Number of image charge pairs to use when computing Gauss's law.
`parametersToVary`	Dictionary of parameters and booleans which will configure if the parameter is allowed to vary in the fit, should contain `thickness`,`pixelsize`, `zq`, zsh`, `zsv`, `a`, `b`, `alpha`, and `beta`.
`saveLogOutput`	Flag to enable/disable saving of log output for a task, enabled by default.
`useBfPtc`	Use a BF ptc in a single pipeline? (`bool`, default `False`)

Attributes Documentation

connections: pexConfig.ConfigField#: Field which refers to a dynamically added configuration class which is based on a PipelineTaskConnections class.

doFitNormalizationOffset#: Do you want to fit an offset to the a matrix? This caused by long range correlations in the data. Only used if doNormalizeElectrostaticModel. (bool, default True)

doNormalizeElectrostaticModel#: Do you want apply a final normalization to the modeled aMatrix? (bool, default False)

fitMethod#: Minimization technique to fit the electrostatic solution. Should be one of the available fitting methods in lmfit.minimizer.Minimizer.minimize. For list of all possible methods see the documentation. (str, default 'leastsq')

fitRange#: Maximum pixel range to compute the electrostatic fit. (int, default 8)

initialParametersDict#: Initial fit parameters, should contain thickness, pixelsize, zq, zsh`, zsv, a, b, alpha, and beta. See the class docstring for descriptions and units of each parameter. (Dict, default {'thickness': 100.0, 'pixelsize': 10.0, 'zq': 1.0, 'zsh': 2.0, 'zsv': 3.0, 'a': 2.0, 'b': 2.0, 'alpha': 1.0, 'beta': 0.0})

nImageChargePairs#: Number of image charge pairs to use when computing Gauss’s law. The larger number, the better, and an odd number is preferred. (int, default 11)

parametersToVary#: Dictionary of parameters and booleans which will configure if the parameter is allowed to vary in the fit, should contain thickness,`pixelsize`, zq, zsh`, zsv, a, b, alpha, and beta. If False, the parameter will be fixed to the initial value set in initialParameterDict. See the class docstring for descriptions and units of each parameter. (Dict, default {'thickness': False, 'pixelsize': False, 'zq': True, 'zsh': True, 'zsv': True, 'a': True, 'b': True, 'alpha': True, 'beta': True})

saveLogOutput#: Flag to enable/disable saving of log output for a task, enabled by default. (bool, default True)