construct_covar

romanisim.ramp.construct_covar(read_noise, flux, read_pattern)

Constructs covariance matrix for first finite differences of unevenly sampled resultants.

Parameters:

read_noisefloat

The read noise (electrons)

fluxfloat

The electrons per second

read_patternlist[list]

List of lists specifying the indices of the reads entering each resultant.

Returns:

np.ndarray[n_resultant, n_resultant] (float)

covariance matrix of first finite differences of unevenly sampled resultants.