pyepr.ResonatorProfileAnalysis
==============================

.. py:class:: pyepr.ResonatorProfileAnalysis(dataset, f_lims=(32, 36))

   

   Analysis and calculation of resonator profiles.


   :Parameters:

       **dataset** : xr.xarray
           The dataset containing the nutations. It must have both a 'LO' axis
           and a 'pulse0_tp' axis.

       **f_lims** : tuple, optional
           The frequency limits of the resonator profile, by default (33,35)














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   .. py:attribute:: dataset


   .. py:attribute:: n_files


   .. py:attribute:: t


   .. py:attribute:: f_lims


   .. py:method:: process_nutations(noisedensity = None, threshold = 2, nfft = 1000)

      
      Uses a power series to extract the resonator profile.


      :Parameters:

          **noisedensity** : tuple, optional
              If not given the first trace is assumed to be so far off resonance
              that it is just noise. 

          **nfft: int, optional**
              The length of the fft to be used, zero padded if requred, default
              is 1000.

          **threshold: int, optional**
              The multiples above the noise a single must be to not be excluded,
              default is 2.



      :Returns:

          prof_data: np.ndarray
              The resonator profile, give in nutation frequency (GHz) 

          prof_frqs: np.ndarray
              The frequency axis in GHz











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   .. py:method:: _process_fit(R_limit=0.5)


   .. py:method:: fit(f_diff_threshold=2, cores=1, multi_mode=False, fc_guess=None)

      
      Fit the resonator profile with a sum of lorentzians.


      :Parameters:

          **f_diff_threshold** : float, optional
              The difference between two peaks at which they will be merged into one, by default 0.03














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   .. py:method:: plot(fieldsweep=None, axs=None, fig=None)

      
      plot. 


      :Parameters:

          **fieldsweep** : FieldSweepAnalysis, optional
              Overlays the FieldSweep if provided, by default None

          **axs** : matplotlib.Axes, optional
              Axes to plot on, by default None

          **fig** : matplotlib.Figure, optional
              Figure to plot on, by default None



      :Returns:

          Matplotlib.Figure
              matplotlib figure object











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