mango.data.gaussian_noise_like

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

Generates image of Gaussian (Normal) distributed noise.

Parameters:

• input (Dds) – The type/shape/MPI-layout determine the same attributes of the returned Dds.
• shape (3-sequence) – Overrides dds.shape.
• dtype (scipy.dtype) – Overrides dds.dtype.
• mtype (mango.mtype) – Overrides dds.mtype.
• halo (3-sequence) – Overrides dds.halo.
• mpidims (3-sequence) – Overrides dds.mpi.shape.
• origin (3-sequence) – Overrides dds.origin.
• subdshape (3-sequence) – Overrides dds.subd.shape.
• subdorigin (3-sequence) – Overrides dds.subd.origin.

Return type:

Dds

Returns:

Dds array of gaussian noise initialised elements with the same type, shape and MPI-layout as input.