.. py:class:: SNRCriteria(SNR_target, description = '', verbosity=0, **kwargs)


   Bases: :py:obj:`Criteria`

   A class for defining criteria for terminating experiments. This should
   only be subclassed and not used directly.


   Criteria testing for signal to noise ratio. This checks the SNR of 
   the normalised absolute data using the deerlab SNR noise estimation
   which is based on the work by Stoher et. al. [1]


   :Parameters:

       **name** : str
           _description_

       **SNR_target** : int
           The mimimum SNR value.

       **description** : str, optional
           _description_, by default None












   .. rubric:: References

   [1] F. Stoehr, R. White, M. Smith, I. Kamp, R. Thompson, D. Durand,
   W. Freudling, D. Fraquelli, J. Haase, R. Hook, T. Kimball, M. Kummel,
   K. Levay, M. Lombardi, A. Micol, T. Rogers DERSNR: A Simple & General
   Spectroscopic Signal-to-Noise Measurement Algorithm Astronomical Data
   Analysis Software and Systems XVII, ASP Conference Series, Vol. 30,
   2008, p5.4

   .. only:: latex

      


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