skip to main content
OSTI.GOV title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: Identifying Interaction Location in SuperCDMS Detectors

Dataset ·

The Super Cryogenic Dark Matter Search (SuperCDMS) experiment uses silicon and germanium particle detectors operated at temperatures of ∼ 30 mK to search for Weakly Interacting Massive Particles (WIMPs), which are candidate dark matter particles that interact weakly with nuclei in the detectors. In operating these detectors, it is required not only to measure the energy of the interaction between the WIMP and the nuclei, but also to reconstruct where the interaction occurred, as the location can be used to separate background interactions from signal and to correct for variations with the location of the energy response. In this project, we, as a team from the University of Minnesota, aim to address the problem of accurately reconstructing the locations of interactions in the SuperCDMS detectors using machine learning methods. The dataset we provided here includes interactions at thirteen different locations from test data taken at the University of Minnesota. For each interaction, a set of parameters was extracted from the signals from each of the five sensors. These parameters represent information known to be sensitive to interaction location, including the relative timing between pulses in different channels, and features like the pulse shape. The relative amplitudes of the pulses are also relevant but due to instabilities in amplification during the test, this data is not included. The parameters included for each interaction are described in our project document. For more details, feel free to check our Github page: https://fair-umn.github.io/FAIR-UMN-CDMS/

Research Organization:
University of Minnesota, Minneapolis, MN
Sponsoring Organization:
USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR)
Contributing Organization:
SuperCDMS Collaboration
DOE Contract Number:
SC0021395
OSTI ID:
2281643
Report Number(s):
10.34740/kaggle/dsv/2660709
Resource Relation:
Related Information: https://fair-umn.github.io/FAIR-UMN-CDMS/
Country of Publication:
United States
Language:
English

Similar Records

A dark matter search using the final CDMS-II data and 100 mm SuperCDMS germanium detector ionization test
Thesis/Dissertation · Tue Jul 01 00:00:00 EDT 2014 · OSTI ID:2281643

SuperCDMS Prototype Detector Design and Testing
Thesis/Dissertation · Sun Jan 01 00:00:00 EST 2017 · OSTI ID:2281643

SuperCDMS Background Models for Low-Mass Dark Matter Searches
Thesis/Dissertation · Wed Aug 01 00:00:00 EDT 2018 · OSTI ID:2281643