Speaker
Description
Kinematic fitting is a widely used method in particle physics experiments, improving the experimental resolution and providing selection criteria for identifying specific reactions.
Kinematic fitting methods, however, typically assume that the fitted quantities follow Gaussian distributions, an assumption that does not always hold, particularly for energy measurements from electromagnetic calorimeters. This is especially problematic for experiments that rely heavily on the reconstruction of neutral mesons from photons,
as is the case with the CBELSA/TAPS experiment.
A method has been developed to account for the non-Gaussian nature of the energy measurements by applying sets of transformations to the energy variable, thereby improving the statistical robustness of the method. In the talk, the method, as well as its efficacy, will be demonstrated by presenting fits to both simulated and real data taken by the CBELSA/TAPS experiment for different final states involving photons from neutral meson decays.