finesse.analysis.actions

Actions.

Classes

ABCD([name])	Computation of an ABCD matrix over a path.
Action(name[, analysis_state_manager])
AnalysisState(model[, name, parent])
BeamTrace([name])	Full beam tracing on a complete model.
Change([change_dict, relative])	Changes a model Parameter to some value during an analysis.
Debug([name])
Folder(name, action, solution)	A Folder action collects a new solution every time the action is called.
FrequencyResponse(f, inputs, outputs, *[, ...])	Computes the frequency response of a signal injceted at various nodes to compute transfer functions to multiple output nodes.
FrequencyResponseSolution
LogModelAttribute(*attrs)
NoiseProjection(f, *output_nodes[, scaling, ...])
NoiseProjectionSolution
Noxaxis([pre_step, post_step, name])
OptimiseRFReadoutPhaseDC(*args[, d_dof, name])	This optimises the demodulation phase of ReadoutRF elements relative to some DegreeOfFreedom.
OptimiseRFReadoutPhaseDCSolution
Parallel(*actions)
Plot([name])
PrintModel([name])
PrintModelAttr(*args)
Printer([name])
PropagateAstigmaticBeam([name])	Propagation of a beam, in both planes, through a given path.
PropagateBeam([name])	Propagation of a beam, in a single plane, through a given path.
RunLocks(*locks[, exception_on_fail, ...])
RunLocksSolution(*args, **kwargs)
Scale(scales, **kwargs)	Action for scaling simulation outputs by some fixed amount.
SensingMatrixDC(dofs, readouts[, d_dof, name])	Computes the sensing matrix elements for various degrees of freedom and readouts that should be present in the model.
SensingMatrixDCSolution	Sensing matrix DC solution.
Series(*actions[, flatten])
Sweep(*args[, pre_step, post_step, ...])	An action that sweeps N number of parameters through the values in N arrays.
X2axis(parameter1, mode1, start1, stop1, ...)
X3axis(parameter1, mode1, start1, stop1, ...)
XNaxis(*args[, relative, pre_step, ...])
Xaxis(parameter, mode, start, stop, steps[, ...])

Functions

convert_str_to_parameter(model, attr)	Converts names component.parameter or component to a parameter object.
get_sweep_array(start, stop, steps[, mode])
request_dict_reduction(A, B)