Flexing and Distorting the Fisher Matrix - Forecasting beyond Gaussianity

Abstract: The Fisher-matrix is an ubiquitous method for forecasting likelihoods of future experiments, or for optimizing experiments. However speedy-gonzales-fast this method may be, by construction it can only produce ellipsoidal confidence contours. We developed a new method that goes beyond these ellipses, and leads to likelihood approximations of a higher shape-fidelity. The talk will explain why this method is especially relevant for "Beyond the Standard Model"-research, and include example-applications.