Speaker
Description
One way to improve the position and energy resolution in neutrino experiments, is to give parameters with high resolution to the reconstruction method. These parameters, the photon electron(PE) hit time and the expectation of PE count, can be analyzed from the waveforms. We developed a new waveform analysis method called Fast Scholastic Matching Pursuit(FSMP). It is based on Bayesian principles, and the possible solutions are sampled with Markov Chain Monte Carlo(MCMC). To accelerate the method, we ported it to GPU, and could analysis the waveforms with 0.01s per waveform. This method extracts all the information in the waveforms, and will benefit event reconstruction with high resolution. With the improved resolution, we can make our way to our final physics goal.
