Incompatibility between non-gaussian and gaussian correlation values because of correlation distortion
At the core of ITAM iterations, an inverse translation scheme is carried out to identify the gaussian correlation distorts to the given non-gaussian correlation. This distortion means that in many cases particularly in large negative correlation values there is no gaussian correlation that maps to the required non-gaussian correlation.
Adding a check to identify if the input non-gaussian correlation function is compatible or not
Given a distribution it is possible to compute the "compatible interval" for the normalized non-gaussian correlation function. This PR will add a function to compute the "compatible interval" of that distribution and check if the input autocorrelation function lies in "compatible interval" or not and print a warning stating that exact convergence cannot be expected because of the incompatibility.
Incompatibility between non-gaussian and gaussian correlation values because of correlation distortion At the core of ITAM iterations, an inverse translation scheme is carried out to identify the gaussian correlation distorts to the given non-gaussian correlation. This distortion means that in many cases particularly in large negative correlation values there is no gaussian correlation that maps to the required non-gaussian correlation.
Adding a check to identify if the input non-gaussian correlation function is compatible or not Given a distribution it is possible to compute the "compatible interval" for the normalized non-gaussian correlation function. This PR will add a function to compute the "compatible interval" of that distribution and check if the input autocorrelation function lies in "compatible interval" or not and print a warning stating that exact convergence cannot be expected because of the incompatibility.