gaussian_kernel

sofia_redux.scan.utilities.numba_functions.gaussian_kernel(n, sigma)

Create a Gaussian convolution kernel.

The Gaussian will be centered on the n // 2 element with a maximum value of 1 when n is odd. The resultant kernel will be of size n, and be created according to:

g_i = exp(-(i - n//2)^2 / 2sigma^2)

where i ranges from 0 to n - 1.

Parameters:

nint

Size of the kernel.

sigmafloat

Gaussian standard deviation.

Returns:

kernelnumpy.ndarray (float)

The Gaussian kernel