Bulletin of the American Physical Society
5th Joint Meeting of the APS Division of Nuclear Physics and the Physical Society of Japan
Volume 63, Number 12
Tuesday–Saturday, October 23–27, 2018; Waikoloa, Hawaii
Session HA: Conference Experience for Undergraduates Poster Session (2:00pm - 3:45pm)
2:00 PM,
Friday, October 26, 2018
Hilton
Room: Grand Promenade
Abstract ID: BAPS.2018.HAW.HA.72
Abstract: HA.00072 : Machine Learning Waveform Fitting to Improve Energy Resolution in P-Type Point Contact Germanium Detectors*
Presenter:
Zachary Hainsel
(North Carolina State University)
Authors:
Zachary Hainsel
(North Carolina State University)
Matthew Green
(North Carolina State University, Oak Ridge National Lab)
Benjamin E Shanks
(Oak Ridge National Lab)
The Majorana Demonstrator is an array of High-Purity Germanium (HPGe) detectors searching for neutrinoless double-beta (0νββ) decay in 76Ge. The Demonstrator combines low-noise electronics with the excellent intrinsic energy resolution of HPGe detectors to attain the best energy resolution of any 0νββ search, thus reducing the background rate in the 0νββ region-of-interest. Trapping of drifting charges in the bulk of the detectors can negatively impact the energy resolution and detector performance. The Majorana collaboration has developed a machine learning approach that can model and fit HPGe detector signals with sub-percent precision, and can be used to extract event information from a waveform. Once a number of parameters describing the detector and electronics response are determined, this waveform fitting technique can be used to infer the interaction locations for a particular event. Using the deposition origin, we can model the drift path of the charge-carriers. A charge trapping correction based on the carrier’s drift path length, which is in development, has the potential to further improve the Demonstrator's overall energy resolution.
*The NC State University Office of Undergraduate Research, The National Science Foundation, and The U.S. DOE, Office of Nuclear Physics.
To cite this abstract, use the following reference: http://meetings.aps.org/link/BAPS.2018.HAW.HA.72
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