MaskStreaksConfig#

class lsst.meas.algorithms.MaskStreaksConfig(*args, **kw)#

Bases: Config

Configuration parameters for MaskStreaksTask.

Attributes Summary

`absMinimumKernelHeight`	Minimum absolute height of the streak-finding kernel (`float`, default `5`)
`badMaskPlanes`	Names of mask plane regions to ignore entirely when doing streak detection (`List`, default `('NO_DATA', 'INTRP', 'BAD', 'SAT', 'EDGE')`)
`clusterMinimumDeviation`	Allowed deviation (in pixels) from a straight line for a detected line (`int`, default `2`)
`clusterMinimumSize`	Minimum size in pixels of detected clusters (`int`, default `50`)
`dChi2Tolerance`	Absolute difference in Chi2 between iterations of line profilefitting that is acceptable for convergence (`float`, default `0.1`)
`delta`	Stepsize in angle-radius parameter space (`float`, default `0.2`)
`detectedMaskPlane`	Name of mask with pixels above detection threshold, used for firstestimate of streak locations (`str`, default `'DETECTED'`)
`footprintThreshold`	Threshold at which to determine edge of line, in units of nanoJanskys (`float`, default `0.01`)
`invSigma`	Inverse of the Moffat sigma parameter (in units of pixels)describing the profile of the streak (`float`, default `0.1`)
`maxFitIter`	Maximum number of line profile fitting iterations that is acceptable for convergence (`int`, default `100`)
`maxStreakWidth`	Maximum width in pixels to allow for masking a streak.The fit streak parameters will not be modified, and a warning will be issued if the fitted width is larger than this value.Set to 0 to disable.
`minimumKernelHeight`	Minimum height of the streak-finding kernel relative to the tallest kernel (`float`, default `0.0`)
`nSigma`	Number of sigmas from center of kernel to include in voting procedure (`float`, default `2`)
`nSigmaMask`	Number of sigmas from center of kernel to mask (`float`, default `5`)
`onlyMaskDetected`	If true, only propagate the part of the streak mask that overlaps with the detection mask.
`rhoBinSize`	Binsize in pixels for position parameter rho when finding clusters of detected lines (`float`, default `40`)
`saturatedDetectionsDilation`	Mask out the region around saturated detections by dilating the existing mask by this number of pixels.
`streaksMaskPlane`	Name of mask plane holding detected streaks (`str`, default `'STREAK'`)
`thetaBinSize`	Binsize in degrees for angle parameter theta when finding clusters of detected lines (`float`, default `2`)

Attributes Documentation

absMinimumKernelHeight#: Minimum absolute height of the streak-finding kernel (float, default 5)

badMaskPlanes#: Names of mask plane regions to ignore entirely when doing streak detection (List, default ('NO_DATA', 'INTRP', 'BAD', 'SAT', 'EDGE'))

clusterMinimumDeviation#: Allowed deviation (in pixels) from a straight line for a detected line (int, default 2)

clusterMinimumSize#: Minimum size in pixels of detected clusters (int, default 50)

dChi2Tolerance#: Absolute difference in Chi2 between iterations of line profilefitting that is acceptable for convergence (float, default 0.1)

delta#: Stepsize in angle-radius parameter space (float, default 0.2)

detectedMaskPlane#: Name of mask with pixels above detection threshold, used for firstestimate of streak locations (str, default 'DETECTED')

footprintThreshold#: Threshold at which to determine edge of line, in units of nanoJanskys (float, default 0.01)

invSigma#: Inverse of the Moffat sigma parameter (in units of pixels)describing the profile of the streak (float, default 0.1)

maxFitIter#: Maximum number of line profile fitting iterations that is acceptable for convergence (int, default 100)

maxStreakWidth#: Maximum width in pixels to allow for masking a streak.The fit streak parameters will not be modified, and a warning will be issued if the fitted width is larger than this value.Set to 0 to disable. (float, default 0.0)

minimumKernelHeight#: Minimum height of the streak-finding kernel relative to the tallest kernel (float, default 0.0)

nSigma#: Number of sigmas from center of kernel to include in voting procedure (float, default 2)

nSigmaMask#: Number of sigmas from center of kernel to mask (float, default 5)

onlyMaskDetected#: If true, only propagate the part of the streak mask that overlaps with the detection mask. (bool, default True)

rhoBinSize#: Binsize in pixels for position parameter rho when finding clusters of detected lines (float, default 40)

saturatedDetectionsDilation#: Mask out the region around saturated detections by dilating the existing mask by this number of pixels. (int, default 250)

streaksMaskPlane#: Name of mask plane holding detected streaks (str, default 'STREAK')

thetaBinSize#: Binsize in degrees for angle parameter theta when finding clusters of detected lines (float, default 2)