Advanced Pulse Processing and Crosstalk Mitigation in X-ray Microcalorimeters
This thesis presents an approach to improving pulse processing in singlephoton spectroscopy, focusing on crosstalk detection and correction in x-ray microcalorimeters. The work integrates advanced mathematical models, including Jacobian and Hessian computations, Hamiltonian Neural Networks (HNNs), and the application of negative probabilities to optimize Shannon entropy. These models are embedded
