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.

Access to Document

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).

@inproceedings{63873d0ba59c48d0b851ca4ef7699ef7,

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",

month = nov,

day = "12",

doi = "10.1109/NSSMIC.2017.8532854",

language = "English",

series = "2017 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2017 - Conference Proceedings",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2017 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2017 - Conference Proceedings",

}

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

TY - GEN

T1 - Synthesis of Radiation Counts for Networks of Detectors

AU - Sen, Satyabrata

AU - Rao, Nageswara S.V.

AU - Berry, Mark L.

AU - Grieme, Kayla M.

AU - Wu, Chase Q.

AU - Cordone, Guthrie

AU - Brooks, Richard R.

PY - 2018/11/12

Y1 - 2018/11/12

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.

UR - http://www.scopus.com/inward/record.url?scp=85058480337&partnerID=8YFLogxK

U2 - 10.1109/NSSMIC.2017.8532854

DO - 10.1109/NSSMIC.2017.8532854

M3 - Conference contribution

AN - SCOPUS:85058480337

T3 - 2017 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2017 - Conference Proceedings

BT - 2017 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2017 - Conference Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2017 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2017

Y2 - 21 October 2017 through 28 October 2017

ER -

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

Abstract

Publication series

Conference

Funding

Access to Document

Other files and links

Fingerprint

Cite this