spectral_pca_to_spectral

spectral_pca_to_spectral(gamma_pca_0, gamma_pca_1, gamma_pca_2, gamma_pca_3)[source]

Change of basis on parameter space from an efficient space to sample in (sample space) to the space used in spectral EOS model (model space).

Uses principal component analysis (PCA) to sample spectral gamma parameters more efficiently. See arXiv:2001.01747 for the PCA conversion transformation matrix, mean, and standard deviation. (Note that this transformation matrix is the inverse of the one referenced in order to perform the inverse transformation.)

Parameters:
gamma_pca_0, gamma_pca_1, gamma_pca_2, gamma_pca_3: float

Spectral gamma PCA parameters to be converted to spectral gamma parameters.

Returns:
converted_gamma_parameters: np.array()

array of gamma_0, gamma_1, gamma_2, gamma_3 in model space