lsst.meas.algorithms.adaptive_thresholds.AdaptiveThresholdDetectionConfig Class Reference

Inheritance diagram for lsst.meas.algorithms.adaptive_thresholds.AdaptiveThresholdDetectionConfig:

Public Member Functions
	validate (self)

Static Public Attributes
	maxAdaptiveDetIter
	maxNumPeakPerBand
	minFootprint
	maxPeakToFootRatio
	minIsolated
	sufficientIsolated
	sufficientFractionIsolated

Detailed Description

Configuration for AdaptiveThresholdDetectionTask

Definition at line 35 of file adaptive_thresholds.py.

Member Function Documentation

validate()

lsst.meas.algorithms.adaptive_thresholds.AdaptiveThresholdDetectionConfig.validate

(

self

)

Definition at line 79 of file adaptive_thresholds.py.

Member Data Documentation

maxAdaptiveDetIter

lsst.meas.algorithms.adaptive_thresholds.AdaptiveThresholdDetectionConfig.maxAdaptiveDetIter

static

Initial value:

=  Field(dtype=int, default=20,
                               doc="Maximum number of adaptive threshold detection iterations.")

Definition at line 38 of file adaptive_thresholds.py.

maxNumPeakPerBand

lsst.meas.algorithms.adaptive_thresholds.AdaptiveThresholdDetectionConfig.maxNumPeakPerBand

static

Initial value:

=  DictField(
        keytype=str,
        itemtype=int,
        default={
            "u": 3000,
            "g": 3000,
            "r": 3000,
            "i": 5000,
            "z": 5000,
            "y": 3000,
            "fallback": 5000,
        },
        doc="Maximum number of peaks per band. If the current band for the exposure "
        "is not included as a key in this dict, the value associated with the "
        "'fallback' key will be used.",
    )

Definition at line 40 of file adaptive_thresholds.py.

maxPeakToFootRatio

lsst.meas.algorithms.adaptive_thresholds.AdaptiveThresholdDetectionConfig.maxPeakToFootRatio

static

Initial value:

=  Field(dtype=float, default=800.0,
                               doc="Maximum ratio of the number of peaks per footprint considered "
                               "sufficient to exit the iteration loop. This helps guard against "
                               "large contiguous footprints leaving no isolated sources for "
                               "inclusion in the PSF modeling.")

Definition at line 61 of file adaptive_thresholds.py.

minFootprint

lsst.meas.algorithms.adaptive_thresholds.AdaptiveThresholdDetectionConfig.minFootprint

static

Initial value:

=  Field(dtype=int, default=15,
                         doc="Minimum number of footprints considered sufficient to exit the "
                         "iteration loop. This should be larger than or equal to ``minIsolated`` as "
                         "it does not take into account whether any given footprint is multi-peaked "
                         "(i.e. blended thus not providing any isolated sources for PSF modeling.)")

Definition at line 56 of file adaptive_thresholds.py.

minIsolated

lsst.meas.algorithms.adaptive_thresholds.AdaptiveThresholdDetectionConfig.minIsolated

static

Initial value:

=  Field(dtype=int, default=6,
                        doc="Minimum number of single-peaked (i.e. isolated) footprints "
                        "considered sufficient to exit the iteration loop. This should be "
                        "larger than the minimum number of sources desired for PSF modeling "
                        "since some may be rejected by the source selector.")

Definition at line 66 of file adaptive_thresholds.py.

sufficientFractionIsolated

lsst.meas.algorithms.adaptive_thresholds.AdaptiveThresholdDetectionConfig.sufficientFractionIsolated

static

Initial value:

=  Field(dtype=float, default=0.45,
                                       doc="Fraction of single-peaked (isolated) footprints considered "
                                       "sufficient to exit the iteration loop.")

Definition at line 75 of file adaptive_thresholds.py.

sufficientIsolated

lsst.meas.algorithms.adaptive_thresholds.AdaptiveThresholdDetectionConfig.sufficientIsolated

static

Initial value:

=  Field(dtype=int, default=100,
                               doc="Number of single-peaked (isolated) footprints considered "
                               "sufficient to exit the iteration loop. Must be larger than "
                               "``minIsolated``.")

Definition at line 71 of file adaptive_thresholds.py.

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

• python/lsst/meas/algorithms/adaptive_thresholds.py