pygsti.tools.two_delta_loglfn

pygsti.tools.two_delta_loglfn(N, p, f, minProbClip=1e-06, poissonPicture=True)
Term of the 2*[log(L)-upper-bound - log(L)] sum corresponding
to a single gate string and spam label.
Parameters:
  • N (float or numpy array) – Number of samples.
  • p (float or numpy array) – Probability of 1st outcome (typically computed).
  • f (float or numpy array) – Frequency of 1st outcome (typically observed).
  • minProbClip (float, optional) – Minimum probability clip point to avoid evaluating log(number <= zero)
  • poissonPicture (boolean, optional) – Whether the log-likelihood-in-the-Poisson-picture terms should be included in the returned logl value.
Returns:

Return type:

float or numpy array