pyepr.SNRCriteria¶
- class pyepr.SNRCriteria(SNR_target, description='', verbosity=0, **kwargs)¶
Bases:
CriteriaA 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:
- namestr
_description_
- SNR_targetint
The mimimum SNR value.
- descriptionstr, optional
_description_, by default None
- Parameters:
SNR_target (int)
description (str)
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