lsst.afw.math._chebyshevBoundedField.ChebyshevBoundedField Class Reference

Public Member Functions
	approximate (cls, boundedField, orderX=3, orderY=3, nStepX=100, nStepY=100)

Detailed Description

Definition at line 31 of file _chebyshevBoundedField.py.

Member Function Documentation

approximate()

lsst.afw.math._chebyshevBoundedField.ChebyshevBoundedField.approximate	(		cls,
			boundedField,
			orderX = 3,
			orderY = 3,
			nStepX = 100,
			nStepY = 100 )

Approximate a bounded field as a ChebyshevBoundedField.

Parameters
----------
boundedField : `lsst.afw.math.BoundedField`
    A bounded field to approximate
orderX : `int`, optional
    Order of the Chebyshev polynomial in the x direction.
    Default is 3.
orderY : `int`, optional
    Order of the Chebyshev polynomial in the y direction.
    Default is 3.
nStepX : `int`, optional
    Number of x steps to approximate boundedField.
    Default is 100.
nStepY : `int`, optional
    Number of y steps to approximate boundedField.
    Default is 100.

Returns
-------
chebyshevBoundedField : `lsst.afw.math.ChebyshevBoundedField`

Definition at line 33 of file _chebyshevBoundedField.py.

                    nStepX=100, nStepY=100):
        """
        Approximate a bounded field as a ChebyshevBoundedField.
 
        Parameters
        ----------
        boundedField : `lsst.afw.math.BoundedField`
            A bounded field to approximate
        orderX : `int`, optional
            Order of the Chebyshev polynomial in the x direction.
            Default is 3.
        orderY : `int`, optional
            Order of the Chebyshev polynomial in the y direction.
            Default is 3.
        nStepX : `int`, optional
            Number of x steps to approximate boundedField.
            Default is 100.
        nStepY : `int`, optional
            Number of y steps to approximate boundedField.
            Default is 100.
 
        Returns
        -------
        chebyshevBoundedField : `lsst.afw.math.ChebyshevBoundedField`
        """
 
        ctrl = ChebyshevBoundedFieldControl()
        ctrl.orderX = orderX
        ctrl.orderY = orderY
        ctrl.triangular = False
 
        bbox = boundedField.getBBox()
 
        xSteps = np.linspace(bbox.getMinX(), bbox.getMaxX(), nStepX)
        ySteps = np.linspace(bbox.getMinY(), bbox.getMaxY(), nStepY)
 
        x = np.tile(xSteps, nStepY)
        y = np.repeat(ySteps, nStepX)
 
        return cls.fit(bbox, x, y, boundedField.evaluate(x, y), ctrl)

---

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

• /j/snowflake/release/lsstsw/stack/lsst-scipipe-8.0.0/Linux64/afw/g5a732f18d5+be83d3ecdb/python/lsst/afw/math/_chebyshevBoundedField.py