finesse.ligo.set_lock_gains¶
- finesse.ligo.set_lock_gains(model, d_dof=1e-06, gain_scale=1, verbose=False)[source]¶
For the current state of the model each lock will have its gain computed. This is done by computing the gradient of the error signal with respect to the set feedback.
The optical gain is then computed as -1/(slope).
This function alters the state of the provided model.
- Parameters
model : Model
Model to set the lock gains of
d_dof : double
step size for computing the slope of the error signals
verbose : boolean
Prints information when true