arXiv · hep-ex/9911001
Digital Pulseshape Analysis by Neural Networks for the Heidelberg-Moscow-Double-Beta-Decay-Experiment
Abstract
The Heidelberg-Moscow Experiment is presently the most sensitive experiment looking for neutrinoless double-beta decay. Recently the already very low background has been lowered by means of a Digital Pulseshape Analysis using a one parameter cut to distinguish between pointlike events and multiple scattered events. To use all the information contained in a recorded digital pulse, we developed a new technique for event recognition based on neural networks.
Explore related subjects
Keep this discovery
Explore connections, maps & timelines
B. Majorovits, H. V. Klapdor-Kleingrothaus. 1999-11-02. Digital Pulseshape Analysis by Neural Networks for the Heidelberg-Moscow-Double-Beta-Decay-Experiment. https://doi.org/10.1007/s100500050370
Cite the original work for its findings. Save a collection to share your selection of sources.