You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Return the coefficient vectors and covariance matrices for a partition
1335
-
of the accumulated particles. The number of partitions is set by the
1336
-
configuration parameters 'sampT' and defaults to 100.
1334
+
Return the coefficient vectors and covariance matrices for each partition
1335
+
of the accumulated particles. The number of partitions is set by the
1336
+
configuration parameter 'sampT' (default: 100).
1337
1337
1338
-
Parameters
1339
-
----------
1340
-
None
1338
+
The coefficients are returned in the [specify: real basis (separate cos/sin for m>0; total angular dimension (lmax+1)^2) or complex triangular packing (l,m≥0; angular dimension (lmax+1)(lmax+2)/2)].
1339
+
Each coefficient vector has shape (angular_dimension,), and each covariance matrix has shape (angular_dimension, angular_dimension).
1340
+
The ordering of harmonic indices within the coefficient vector and covariance matrix is [specify: e.g., for real basis, (l, m) ordered with m from -l to l for each l from 0 to lmax; for complex packing, (l, m) with m from 0 to l for each l from 0 to lmax].
1341
+
This allows consumers to unambiguously map (l, m) to positions in the arrays.
1341
1342
1342
1343
Returns
1343
1344
-------
1344
1345
arrays: list[list[tuple[np.ndarray, np.ndarray]]]
1345
-
Each element is a tuple (coef_vector, coef_covariance_matrix),
1346
-
where coef_vector and coef_covariance_matrix are numpy.ndarray.
1346
+
Each element is a tuple (coef_vector, coef_covariance_matrix),
1347
+
where coef_vector and coef_covariance_matrix are numpy.ndarray.
1348
+
Each coef_covariance_matrix is of shape (angular_dimension, angular_dimension).
0 commit comments