lsst.afw.math¶

lsst.afw.math provides mathematical functions such as convolution and image statistics. Key features:

Function objects FunctionF and FunctionD
Statistics
Background estimation of images.
Interpolate
Kernel
Optimization of functions is handled by minimize()
Convolution of images is handled by convolve()
Warping of images is handled by warpImage()
Manipulating spatially-distributed sets of objects (e.g. PSF candidates)

Using lsst.afw.math¶

Contributing¶

lsst.afw.math is developed at https://github.com/lsst/afw. You can find Jira issues for this module under the afw component.

Python API reference¶

lsst.afw.math Package¶

Functions¶

`basicConvolve`(args, *kwargs)	Overloaded function.
`binImage`(args, *kwargs)	Overloaded function.
`convolve`(args, *kwargs)	Overloaded function.
`convolveWithBruteForce`(args, *kwargs)	Overloaded function.
`flipImage`(args, *kwargs)	Overloaded function.
`lookupMaxInterpStyle`(n)
`lookupMinInterpPoints`(style)
`makeApproximate`(x, y, im, int, float>, bbox, …)
`makeBackground`(args, *kwargs)	Overloaded function.
`makeInterpolate`(args, *kwargs)	Overloaded function.
`makeStatistics`(args, *kwargs)	Overloaded function.
`minimize`(args, *kwargs)	Overloaded function.
`offsetImage`(args, *kwargs)	Overloaded function.
`randomChisqImage`(args, *kwargs)	Overloaded function.
`randomFlatImage`(args, *kwargs)	Overloaded function.
`randomGaussianImage`(args, *kwargs)	Overloaded function.
`randomPoissonImage`(args, *kwargs)	Overloaded function.
`randomUniformImage`(args, *kwargs)	Overloaded function.
`randomUniformIntImage`(args, *kwargs)	Overloaded function.
`randomUniformPosImage`(args, *kwargs)	Overloaded function.
`rotateImageBy90`(args, *kwargs)	Overloaded function.
`scaledPlus`(args, *kwargs)	Overloaded function.
`statisticsStack`(args, *kwargs)	Overloaded function.
`stringToInterpStyle`(style)
`stringToStatisticsProperty`(arg0)
`stringToUndersampleStyle`(style)
`warpCenteredImage`(args, *kwargs)	Overloaded function.
`warpExposure`(args, *kwargs)	Overloaded function.
`warpImage`(args, *kwargs)	Overloaded function.

Classes¶

`AnalyticKernel`
`ApproximateControl`
`ApproximateF`
`Background`
`BackgroundControl`
`BackgroundList`(*args)	A list-like class to contain a list of (`lsst.afw.math.Background`, `lsst.afw.math.Interpolate.Style`, `UndersampleStyle`) tuples.
`BackgroundMI`
`BasePolynomialFunction2D`
`BasePolynomialFunction2F`
`BilinearWarpingKernel`
`BoundedField`
`CandidateVisitor`
`Chebyshev1Function1D`
`Chebyshev1Function1F`
`Chebyshev1Function2D`
`Chebyshev1Function2F`
`ChebyshevBoundedField`
`ChebyshevBoundedFieldConfig`
`ChebyshevBoundedFieldControl`
`ConvolutionControl`
`CovariogramD`
`DeltaFunctionKernel`
`DoubleGaussianFunction2D`
`DoubleGaussianFunction2F`
`FitResults`
`FixedKernel`
`Function1D`
`Function1F`
`Function2D`
`Function2F`
`FunctionD`
`FunctionF`
`GaussianFunction1D`
`GaussianFunction1F`
`GaussianFunction2D`
`GaussianFunction2F`
`GaussianProcessD`
`IntegerDeltaFunction1D`
`IntegerDeltaFunction1F`
`IntegerDeltaFunction2D`
`IntegerDeltaFunction2F`
`Interpolate`
`KdTreeD`
`Kernel`
`KernelImagesForRegion`
`LanczosFunction1D`
`LanczosFunction1F`
`LanczosFunction2D`
`LanczosFunction2F`
`LanczosWarpingKernel`
`LeastSquares`
`LinearCombinationKernel`
`NearestWarpingKernel`
`NeuralNetCovariogramD`
`NullFunction1D`
`NullFunction1F`
`NullFunction2D`
`NullFunction2F`
`PixelAreaBoundedField`
`PolynomialFunction1D`
`PolynomialFunction1F`
`PolynomialFunction2D`
`PolynomialFunction2F`
`ProductBoundedField`
`Property`
`Random`
`RowOfKernelImagesForRegion`
`SeparableKernel`
`SpatialCell`
`SpatialCellCandidate`
`SpatialCellCandidateIterator`
`SpatialCellImageCandidate`
`SpatialCellSet`
`Spline`
`SquaredExpCovariogramD`
`Statistics`
`StatisticsControl`
`TautSpline`
`TestCandidate`
`TestCandidateVisitor`
`TestImageCandidate`
`TransformBoundedField`
`UndersampleStyle`
`Warper`(warpingKernelName[, interpLength, …])	Warp images.
`WarperConfig`
`WarpingControl`

Class Inheritance Diagram¶