lsst.meas.astrom.matchOptimisticB.MatchOptimisticBConfig Class Reference

Inheritance diagram for lsst.meas.astrom.matchOptimisticB.MatchOptimisticBConfig:

Static Public Attributes
tuple	sourceFluxType
tuple	maxMatchDistArcSec
tuple	numBrightStars
tuple	minMatchedPairs
tuple	minFracMatchedPairs
tuple	maxOffsetPix
tuple	maxRotationDeg
tuple	allowedNonperpDeg
tuple	numPointsForShape
tuple	maxDeterminant

Detailed Description

Configuration for MatchOptimisticBTask

Definition at line 14 of file matchOptimisticB.py.

Member Data Documentation

tuple lsst.meas.astrom.matchOptimisticB.MatchOptimisticBConfig.allowedNonperpDeg

static

Initial value:

= pexConfig.RangeField(
        doc = "Allowed non-perpendicularity of x and y (degree)",
        dtype = float,
        default = 3.0,
        max = 45.0,
    )

Definition at line 62 of file matchOptimisticB.py.

tuple lsst.meas.astrom.matchOptimisticB.MatchOptimisticBConfig.maxDeterminant

static

Initial value:

= pexConfig.Field(
        doc = "maximum determinant of linear transformation matrix for a usable solution",
        dtype = float,
        default = 0.02,
    )

Definition at line 73 of file matchOptimisticB.py.

tuple lsst.meas.astrom.matchOptimisticB.MatchOptimisticBConfig.maxMatchDistArcSec

static

Initial value:

= pexConfig.RangeField(
        doc = "Maximum separation between reference objects and sources "
            "beyond which they will not be considered a match (arcsec)",
        dtype = float,
        default = 3,
        min = 0,
    )

Definition at line 22 of file matchOptimisticB.py.

tuple lsst.meas.astrom.matchOptimisticB.MatchOptimisticBConfig.maxOffsetPix

static

Initial value:

= pexConfig.RangeField(
        doc = "Maximum allowed shift of WCS, due to matching (pixel)",
        dtype = int,
        default = 300,
        max = 4000,
    )

Definition at line 50 of file matchOptimisticB.py.

tuple lsst.meas.astrom.matchOptimisticB.MatchOptimisticBConfig.maxRotationDeg

static

Initial value:

= pexConfig.RangeField(
        doc = "Rotation angle allowed between sources and position reference objects (degrees)",
        dtype = float,
        default = 1.0,
        max = 6.0,
    )

Definition at line 56 of file matchOptimisticB.py.

tuple lsst.meas.astrom.matchOptimisticB.MatchOptimisticBConfig.minFracMatchedPairs

static

Initial value:

= pexConfig.RangeField(
        doc = "Minimum number of matched pairs as a fraction of the smaller of "
            "the number of reference stars or the number of good sources; "
            "the actual minimum is the smaller of this value or minMatchedPairs",
        dtype = float,
        default = 0.3,
        min = 0,
        max = 1,
    )

Definition at line 41 of file matchOptimisticB.py.

tuple lsst.meas.astrom.matchOptimisticB.MatchOptimisticBConfig.minMatchedPairs

static

Initial value:

= pexConfig.RangeField(
        doc = "Minimum number of matched pairs; see also minFracMatchedPairs",
        dtype = int,
        default = 30,
        min = 2,
    )

Definition at line 35 of file matchOptimisticB.py.

tuple lsst.meas.astrom.matchOptimisticB.MatchOptimisticBConfig.numBrightStars

static

Initial value:

= pexConfig.RangeField(
        doc = "Number of bright stars to use",
        dtype = int,
        default = 50,
        min = 2,
    )

Definition at line 29 of file matchOptimisticB.py.

tuple lsst.meas.astrom.matchOptimisticB.MatchOptimisticBConfig.numPointsForShape

static

Initial value:

= pexConfig.Field(
        doc = "number of points to define a shape for matching",
        dtype = int,
        default = 6,
    )

Definition at line 68 of file matchOptimisticB.py.

tuple lsst.meas.astrom.matchOptimisticB.MatchOptimisticBConfig.sourceFluxType

static

Initial value:

= pexConfig.Field(
        doc = "Type of source flux; typically one of Ap or Psf",
        dtype = str,
        default = "Ap",
    )

Definition at line 17 of file matchOptimisticB.py.

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

• /home/lsstsw/stack/Linux64/meas_astrom/11.0-1-g60db491/python/lsst/meas/astrom/matchOptimisticB.py