Ranged Optimization

Maximize a signal within a range.

Sweeps a setting $z$ within a discrete interval $I$ , measures an optimization quantity $f(z)$ and calculates $z_0$ such that:

f(z_0) \geq f(z) \, \, \, \, \, \, \forall z \in I

finally sets $z = z_0 + z_{offset}$ .


    def setup(self):

        from ScopeFoundry import RangedOptimization

        self.add_measurement(RangedOptimization(self))

overview

The interval $I$ is defined by $(z_{center}, z_{span}, z_{num})$ .

You can further post process the data to get a more accurate $z_0$ .