Abstract
We develop a data-driven, regression-based scaling method to synthesize radiation counts for a given source strength in a spectral bin by bootstrapping measurements from Domestic Nuclear Detection Office's Intelligence Radiation Sensors Systems (IRSS) tests. In addition to counts, we also generate network messages using message-skeletons extracted from IRSS tests. We characterize the quality of generated counts using statistical mea- sures and distance metrics, and provide an analytical justification for our method based on the Vapnik-Chervonenkis theory.
Original language | English |
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Title of host publication | 2017 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2017 - Conference Proceedings |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
ISBN (Electronic) | 9781538622827 |
DOIs | |
State | Published - Nov 12 2018 |
Event | 2017 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2017 - Atlanta, United States Duration: Oct 21 2017 → Oct 28 2017 |
Publication series
Name | 2017 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2017 - Conference Proceedings |
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Conference
Conference | 2017 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2017 |
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Country/Territory | United States |
City | Atlanta |
Period | 10/21/17 → 10/28/17 |
Bibliographical note
Publisher Copyright:© 2017 IEEE.