attune.tune_test(*, data, channel, arrangement, instrument, level=False, gtol=0.01, ltol=0.1, restore_setpoints=True, autosave=True, save_directory=None, **spline_kwargs) Instrument[source]

Workup a Tune Test.

  • data ( – should be in (setpoint, dependent)

  • channel ( or int or str) – channel to process

  • arrangement (str) – name of the arrangment to modify

  • instrument (attune.Instrument) – instrument object to modify

  • level (bool, optional) – toggle leveling data (Defalts to False)

  • gtol (float, optional) – global tolerance for rejecting noise level relative to global maximum

  • ltol (float, optional) – local tolerance for rejecting data relative to slice maximum

  • restore_setpoints (bool, optional) – toggles remapping onto original setpoints for each tune (default is True)

  • autosave (bool, optional) – toggles saving of instrument file and images (Defaults to True)

  • save_directory (Path-like) – where to save (Defaults to current working directory)

  • **spline_kwargs (optional) – extra arguments to pass to spline creation (e.g. s=0, k=1 for linear interpolation)


New instrument object.

Return type:



``` >>> d = >>> d.transform(“w3_points”, “wm-w3”) >>> instr2 = attune.tune_test(

data=d, channel=”sample”, arrangement=”df1”, instrument=instr, gtol=.0002, ltol=.01, autosave=False, save_directory=folder