mango.data.gaussian_noise

mango.data.gaussian_noise(shape, mean=0.0, stdd=1.0, dtype=None, mtype=None, halo=(0, 0, 0), mpidims=(0, 0, 0), origin=(0, 0, 0), subdshape=None, subdorigin=None)

Generates image of Gaussian (Normal) distributed noise.

Parameters:

• shape (3-sequence) – The global shape (zSz,ySz,xSz) of the returned mango.Dds image.
• mean (float) – The mean parameter of the normally distributed noise.
• stdd (float) – The standard-deviation parameter of the normally distributed noise.
• dtype (numpy.dtype) – The element type of the returned array.
• mtype (mango.mtype) – The mango data type for the return noise image.
• halo (3-sequence) – The halo size for the returned mango.Dds object.
• mpidims (3-sequence) – Cartesian MPI domain decomposition.
• origin (3-sequence) – The global origin index for the returned mango.Dds object.
• subdshape (3-sequence) – Explicitly specify the sub-domain shape for the current MPI process.
• subdorigin (3-sequence) – Explicitly specify the sub-domain origin for the current MPI process.

Return type:

mango.Dds

Returns:

Noise mango.Dds image.