finesse.analysis.actions.locks.DragLocks
¶
Overview
- class finesse.analysis.actions.locks.DragLocks(*locks, parameters, stop_points, relative=False, method='proportional', scale_factor=1, num_steps=11, never_optimize_phase=None, exception_on_fail=True, max_recursions=5, max_iterations=1000, display_progress=False, show_progress_bar=False, name='drag locks')[source]¶
Bases:
Action
An action that incrementally changes model parameter values, reaching lock at each step, until lock is reached at the desired final parameter values.
- Parameters
- *lockslist, optional
A list of locks to use in each RunLocks step. Acts like *locks parameter in RunLocks: if not provided, all locks in model are used.
- parameterslist
A list of strings. Each element should correspond to a parameter in the model.
- stop_pointslist
The final parameter values that locks move towards incrementally.
- relativeboolean
If true, stop_points are relative to the initial parameter values.
- max_recursionsint
The number of times that the step size is allowed to decreased by a factor of ten when locks fail.
- methodstr, either “newton” or “proportional”
The method to use in each locking step.
- scale_factorfloat
Factor by which to multiply all DOF changes. Should be set below 1 if it is desired to minimize overshooting.
- num_stepsint
Number of steps to calculate, starting at the initial point and ending at the stop point.
- never_optimize_phaseboolean
Deprecated: When true, never optimize readout phases. When false, phases will be optimized anytime the previous step required more than 10 iterations.
- exception_on_failboolean
When true, raise exception if max_recursions is surpassed.
- max_iterationsint
The maximum number of locking steps in each execution of RunLocks. If surpassed, step size is decreased.
- display_progressboolean
When true, displays the status of the lock dragging.
- namestr
Name of the action.