Ranged Optimization
Maximize a signal within a range.
Sweeps a setting \(z\) within a range, measures an optimization quantity \(f(z)\) and calculates \(z_0\) such that:
$$f(z_0) >= f(z) \, \forall z$$
finally sets \(z = z_0 + z_{offset}\)
add to your app:
def setup(self):
from ScopeFoundry import RangedOptimization
self.add_measurement(RangedOptimization(self))
