finesse.utilities.homs.make_modes¶
- finesse.utilities.homs.make_modes(select=None, maxtem=None)[source]¶
Construct a 2D
numpy.ndarray
of HOM indices.- Parameters
- selectsequence, str, optional; default: None
Identifier for the mode indices to generate. This can be:
An iterable of mode indices, where each element in the iterable must unpack to two integer convertible values.
A string identifying the type of modes to include, must be one of “even”, “odd”, “tangential” (or “x”) or “sagittal” (or “y”).
- maxtemint, optional; default: None
Optional maximum mode order, applicable only for when select is a string. This is ignored if select is not a string.
- Returns
- modes
numpy.ndarray
An array of mode indices.
- modes
- Raises
- ValueError
If either of the arguments select, maxtem are invalid or non-unique.
See also
insert_modes
Add modes to an existing mode indices array at the correct positions.
Examples
Modes up to a maximum order of 2:
>>> make_modes(maxtem=2) array([[0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [2, 0]], dtype=int32)
Even modes up to order 4:
>>> make_modes("even", maxtem=4) array([[0, 0], [0, 2], [0, 4], [2, 0], [2, 2], [4, 0]], dtype=int32)
Sagittal modes up to order 3:
>>> make_modes("y", maxtem=3) array([[0, 0], [0, 1], [0, 2], [0, 3]], dtype=int32)
Modes from a list of strings:
>>> make_modes(["00", "11", "22"]) array([[0, 0], [1, 1], [2, 2]], dtype=int32)