bashes.features module¶

class bashes.features.AbsFeatureCalculator(nfeatures)¶

Feature calculator abstract base class.

nfeatures¶

int

The number of features to calculate.

Parameters:	nfeatures (int) – The number of features to calculate.

getFeatureTransform(psf)¶

Returns a matrix that transforms pixel values to features.

Parameters:	psf (galsim.GSObject) – The psf model for the corresponding image.

class bashes.features.FourierMoments(stampSize, pixelScale, sigma)¶

Calculates fourier domain moment features.

Parameters:	stampSize (int) – The postage stamp size in pixels. pixelScale (int) – The postage stamp pixel scale. sigma (float,None) – The Gaussian weight function sigma. A value of None indicates that sigma should be calculated on-the-fly (not supported yet).

getFeatureTransform(psf)¶

Returns a matrix that transforms pixel values to features.

Parameters:	psf (galsim.GSObject) – The psf model for the corresponding image.

class bashes.features.PixelFeatures(stampSize)¶

Simple pixel feature calculator.

nfeatures¶

int

The total number of pixels.

Parameters:	stampSize (int) – The postage stamp size in pixels.

getFeatureTransform(psf)¶

Returns a matrix that transforms pixel values to features.

Parameters:	psf (galsim.GSObject) – The psf model for the corresponding image.

bashes.features.circularize(image)¶

Returns the azimuthally averaged 2d image about the center.

Parameters:	image (np.ndarray) – Square 2D image.

bashes.features.fourierMatrix(n)¶

Returns the fourier transform matrix for a square 2d matrix of size n. The following are equivalent:

fourierMatrix(self.stampSize).dot(image.flatten()) np.fft.fft2(image).flatten()

Parameters:	n (int) – Square image size.