pyepr.hardware.Bruker_MPFU.BrukerMPFU ===================================== .. py:class:: pyepr.hardware.Bruker_MPFU.BrukerMPFU(config_file) Bases: :py:obj:`pyepr.classes.Interface` Represents the interface for connecting to MPFU based Bruker ELEXSYS-II Spectrometers. An interface for connecting to MPFU based Bruker ELEXSYS-II Spectrometers. :Parameters: **config_file** : str The path to a YAML configuration file. :Attributes: **bg_thread: None or threading.Thread** If a background thread is needed, it is stored here. .. !! processed by numpydoc !! .. py:attribute:: api .. py:attribute:: spec_config .. py:attribute:: bridge_config .. py:attribute:: MPFU .. py:attribute:: temp_dir .. py:attribute:: d0 .. py:attribute:: bg_thread :value: None .. py:attribute:: bg_data :value: None .. py:attribute:: cur_exp :value: None .. py:attribute:: tuning :value: False .. py:attribute:: savename :value: '' .. py:attribute:: savefolder .. py:attribute:: setup_flag :value: False .. py:method:: connect(d0=None) .. py:method:: setup(d0=None) .. py:method:: acquire_dataset() Acquires the dataset. .. !! processed by numpydoc !! .. py:method:: _launch_complex_thread(sequence, axID=1, tune=True) .. py:method:: launch(sequence, savename, start=True, tune=True, MPFU_overwrite=None, update_pulsespel=True, reset_bg_data=True, reset_cur_exp=True, **kwargs) Launches the experiment and initialises autosaving. :Parameters: **sequence** : Sequence The sequence to be launched **savename** : str The savename for this measurement. A timestamp will be added to the value. .. !! processed by numpydoc !! .. py:method:: tune_rectpulse(*, tp, **kwargs) Mocks the tune_rectpulse command and returns a pair of RectPulses with the given tp and 2*tp respectively. No scale is set. .. !! processed by numpydoc !! .. py:method:: tune_pulse(pulse, *args, **kwargs) Mocks the tune_pulse command and returns the pulse unchanged. .. !! processed by numpydoc !! .. py:method:: tune(sequence, B0, LO) .. py:method:: isrunning() .. py:method:: terminate(now=False) Terminates the experiment immediately. .. !! processed by numpydoc !! .. py:method:: calc_d0() This creates an initial guess for d0. A better estimate can only be found after the field sweep. .. !! processed by numpydoc !! .. py:method:: calc_d0_from_Hahn_Echo(B=None, LO=None)