Detector signal characterization with a Bayesian network in XENONnT
Detector signal characterization with a Bayesian network in XENONnT
We developed a detector signal characterization model based on a Bayesian network trained on the waveform attributes generated by a dual-phase xenon time projection chamber. By performing inference on the model, we produced a quantitative metric of signal characterization and demonstrate that this metric can be used to determine whether …