Contains the look-up table of the cumulative distribution function of the likelihood P(\kappa | \hat{\kappa}, n) as described in Johnston and Painter, "Modelling collective navigation via nonlocal communication," 2021. Contains the CDF ("kappaCDF") which has three dimensions (\kappa, n, \hat{\kappa}) for the observed \hat{\kappa} values defined in kappaInput on 0 < \hat{\kappa} < 25. Sample from this CDF according to an observed \hat{\kappa} and n by finding rand < kappaCDF(:, n-1, kappaLocation) where kappaLocation is the location of the closest value in kappaInput to \hat{\kappa}. Implementation is given circ_kappa_script.m in the GitHub repository.