bluesky.plans.adaptive_scan¶

bluesky.plans.adaptive_scan(detectors, target_field, motor, start, stop, min_step, max_step, target_delta, backstep, threshold=0.8, *, md=None)[source]¶

Scan over one variable with adaptively tuned step size.

Parameters

detectorslist: list of ‘readable’ objects
target_fieldstring: data field whose output is the focus of the adaptive tuning
motorobject: any ‘settable’ object (motor, temp controller, etc.)
startfloat: starting position of motor
stopfloat: ending position of motor
min_stepfloat: smallest step for fast-changing regions
max_stepfloat: largest step for slow-chaning regions
target_deltafloat: desired fractional change in detector signal between steps
backstepbool: whether backward steps are allowed – this is concern with some motors
thresholdfloat, optional: threshold for going backward and rescanning a region, default is 0.8
mddict, optional: metadata