convert_to_stdev_nan#
- agabpylib.plotting.inference.convert_to_stdev_nan(logL)#
Given a grid of log-likelihood values, convert them to cumulative standard deviations.
This is useful for drawing contours from a grid of likelihoods.
Code adapted from astroML: astroML/astroML
This version is robust to a logL input array that contains NaNs.
- Parameters:
logL (float array) – Input array of log-likelihood (or log-probability) values. Can contain NaNs.
- Returns:
cumprob – Array of values that represent the cumulative probability for logL.
- Return type:
float array