Synthesis of Radiation Counts for Networks of Detectors

Satyabrata Sen; Nageswara S.V. Rao; Mark L. Berry; Kayla M. Grieme; Chase Q. Wu; Guthrie Cordone; Richard R. Brooks

doi:10.1109/NSSMIC.2017.8532854

Synthesis of Radiation Counts for Networks of Detectors

Satyabrata Sen
, Nageswara S.V. Rao
, Mark L. Berry
, Kayla M. Grieme
, Chase Q. Wu
, Guthrie Cordone
, Richard R. Brooks

Autonomous and Complex Systems

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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
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	https://doi.org/10.1109/NSSMIC.2017.8532854
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

Conference

Conference	2017 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2017
Country/Territory	United States
City	Atlanta
Period	10/21/17 → 10/28/17

Funding

This work has been supported by the U.S. Department of Homeland Security, Domestic Nuclear Detection Office, under competitively awarded contract No. IAA HSHQDC-13-X-B0002. This support does not constitute an express or implied endorsement on the part of the Government.

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10.1109/NSSMIC.2017.8532854

Cite this

Sen, S., Rao, N. S. V., Berry, M. L., Grieme, K. M., Wu, C. Q., Cordone, G., & Brooks, R. R. (2018). Synthesis of Radiation Counts for Networks of Detectors. In 2017 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2017 - Conference Proceedings Article 8532854 (2017 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2017 - Conference Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/NSSMIC.2017.8532854

Sen, Satyabrata ; Rao, Nageswara S.V. ; Berry, Mark L. et al. / Synthesis of Radiation Counts for Networks of Detectors. 2017 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2017 - Conference Proceedings. Institute of Electrical and Electronics Engineers Inc., 2018. (2017 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2017 - Conference Proceedings).

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title = "Synthesis of Radiation Counts for Networks of Detectors",

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.",

author = "Satyabrata Sen and Rao, \{Nageswara S.V.\} and Berry, \{Mark L.\} and Grieme, \{Kayla M.\} and Wu, \{Chase Q.\} and Guthrie Cordone and Brooks, \{Richard R.\}",

note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 2017 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2017 ; Conference date: 21-10-2017 Through 28-10-2017",

year = "2018",

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doi = "10.1109/NSSMIC.2017.8532854",

language = "English",

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Sen, S, Rao, NSV, Berry, ML, Grieme, KM, Wu, CQ, Cordone, G & Brooks, RR 2018, Synthesis of Radiation Counts for Networks of Detectors. in 2017 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2017 - Conference Proceedings., 8532854, 2017 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2017 - Conference Proceedings, Institute of Electrical and Electronics Engineers Inc., 2017 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2017, Atlanta, United States, 10/21/17. https://doi.org/10.1109/NSSMIC.2017.8532854

Synthesis of Radiation Counts for Networks of Detectors. / Sen, Satyabrata; Rao, Nageswara S.V.; Berry, Mark L. et al.
2017 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2017 - Conference Proceedings. Institute of Electrical and Electronics Engineers Inc., 2018. 8532854 (2017 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2017 - Conference Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Brooks, Richard R.

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N2 - 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.

AB - 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.

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Sen S, Rao NSV, Berry ML, Grieme KM, Wu CQ, Cordone G et al. Synthesis of Radiation Counts for Networks of Detectors. In 2017 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2017 - Conference Proceedings. Institute of Electrical and Electronics Engineers Inc. 2018. 8532854. (2017 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2017 - Conference Proceedings). doi: 10.1109/NSSMIC.2017.8532854

Synthesis of Radiation Counts for Networks of Detectors

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