Prof. Rebecca S. Detwiler Profile

Prof. Rebecca S. Detwiler

at Univ of Florida

SPIE Involvement:

Author

Publications (3)

This will count as one of your downloads.

You will have access to both the presentation and article (if available).

DOWNLOAD NOW

This content is available for download via your institution's subscription. To access this item, please sign in to your personal account.

Email or Username Forgot your username?

Password Forgot your password?

Show

Keep me signed in

No SPIE account? Create an account

Proceedings Article | 5 May 2010 Paper

SmartID: a highly accurate physics-based isotope attribution algorithm

M. Harrison, G. Sjoden, R. Detwiler

Proceedings Volume 7665, 76651M (2010) https://doi.org/10.1117/12.850904

KEYWORDS: Gamma radiation, Sensors, Spectroscopy, Detection and tracking algorithms, Lead, Uranium, Photons, Spectral resolution, Scintillation, Algorithm development

Read Abstract +

The spectral post-processing algorithm Advanced Synthetically Enhanced Detector Resolution Algorithm (ASEDRA (patent pending)) has shown to be a powerful tool for deconvolving full energy peaks from scintillation spectrometeracquired gamma-ray spectra, effectively improving obtainable data-synthesized energy resolutions by a factor of four to six times over what is rendered from the detector. An isotope attribution algorithm, SmartID, was developed to augment ASEDRA in order to improve radionuclide identification accuracy. SmartID utilizes a novel, physics-based method of importance weighting the ASEDRA-identified peaks and the emissions of a candidate isotope. This methodology enhances the screening of potential false peaks and prevents isotope mismatches. As a final step, SmartID assigns a physical matching attribution score to each possible isotope match to reflect goodness-of-fit. A test suite of 105 gammaray spectra acquired with a 2"×2" NaI:Tl spectrometer under varying shielding conditions and various single and multisource configurations were recorded for testing the accuracy of ASEDRA+SmartID. The sources utilized in the tests included ¹³³Ba, ¹⁰⁹Cd, ⁵⁷Co, ⁶⁰Co, ¹³⁷Cs, ¹⁵²Eu, ⁵⁴Mn, ²²Na, ²³²Th, natural uranium rods and a PuBe source. Shielding configurations varied widely, ranging from none to more than 2.5cm Pb. Overall, SmartID proved to be more than 95% accurate in attributing the correct isotope(s) to the spectra.

Proceedings Article | 17 April 2008 Paper

Extraordinary improvement in scintillation detectors via post-processing with ASEDRA: solution to a 50-year-old problem

E. LaVigne, G. Sjoden, J. Baciak, R. Detwiler

Proceedings Volume 6954, 695416 (2008) https://doi.org/10.1117/12.777295

KEYWORDS: Sensors, Detection and tracking algorithms, Denoising, Algorithm development, Stochastic processes, Scintillators, Monte Carlo methods, Scintillation, Germanium, Sodium

Read Abstract +

We have developed a ground-breaking algorithm, ASEDRA, to post-process scintillator detector spectra to render photopeaks with high accuracy. The post-processed spectrum is comparable with resolved full energy peaks rendered by high resolution HPGe semiconductor detectors. ASEDRA, or "Advanced Synthetically Enhanced Detector Resolution Algorithm," is currently applied to NaI(Tl) detectors, which are robust, but suffer from poor energy resolution. ASEDRA rapidly post-processes a NaI(Tl) detector spectrum over a few seconds on a standard laptop without prior knowledge of sources or spectrum features. ASEDRA incorporates a novel denoising algorithm based on an adaptive Chi-square methodology called ACHIP, or "Adaptive Chi-quare Processed denoising." Application of ACHIP is necessary to remove stochastic noise, yet preserve fine detail, and can be used as an independent tool for general noise reduction. Following noise removal, ASEDRA sequentially employs an adaptive detector response algorithm to remove the spectrum attributed to specific gammas. Tests conducted using a 2"×2" NaI(Tl) detector, along with a HPGe detector demonstrate the accuracy of ASEDRA; in this paper, we present results using a 152Eu source. Analysis of ASEDRA results show correct identification of at least 15 photopeaks from ¹⁵²Eu, with relative yield ratios of major lines to better than a factor of two for most cases (referencing the ¹⁵²Eu 344 keV photopeak), enabling better than a factor of four improvement in resolving peaks compared with unprocessed NaI(Tl). Moreover, denoising and synthetic resolution enhancement algorithms can be adapted to any detector. ACHIP and ASEDRA are covered under a Provisional Patent, Registration Number #60/971,770, 9/12/2007, USPTO.

Proceedings Article | 4 April 2008 Paper

Improved plutonium identification and characterization results with NaI(Tl) detector using ASEDRA

R. Detwiler, G. Sjoden, J. Baciak, E. LaVigne

Proceedings Volume 6945, 694507 (2008) https://doi.org/10.1117/12.777128

KEYWORDS: Sensors, Plutonium, X-rays, Signal attenuation, Detection and tracking algorithms, Algorithm development, Composites, Visualization, Energy efficiency, Cladding

Read Abstract +

The ASEDRA algorithm (Advanced Synthetically Enhanced Detector Resolution Algorithm) is a tool developed at the University of Florida to synthetically enhance the resolved photopeaks derived from a characteristically poor resolution spectra collected at room temperature from scintillator crystal-photomultiplier detector, such as a NaI(Tl) system. This work reports on analysis of a side-by-side test comparing the identification capabilities of ASEDRA applied to a NaI(Tl) detector with HPGe results for a Plutonium Beryllium (PuBe) source containing approximately 47 year old weapons-grade plutonium (WGPu), a test case of real-world interest with a complex spectra including plutonium isotopes and 241Am decay products. The analysis included a comparison of photopeaks identified and photopeak energies between the ASEDRA and HPGe detector systems, and the known energies of the plutonium isotopes. ASEDRA's performance in peak area accuracy, also important in isotope identification as well as plutonium quality and age determination, was evaluated for key energy lines by comparing the observed relative ratios of peak areas, adjusted for efficiency and attenuation due to source shielding, to the predicted ratios from known energy line branching and source isotopics. The results show that ASEDRA has identified over 20 lines also found by the HPGe and directly correlated to WGPu energies.

My Library

You currently do not have any folders to save your paper to! Create a new folder below.

Folder Name

Folder Description

View contact details

UPDATE YOUR PROFILE

Is this your profile? Update it now.

Sign into your SPIE.org account

Don’t have a profile and want one?

Create an account on SPIE.org

Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks. You are receiving this notice because your organization may not have SPIE eBooks access.*

*Shibboleth/Open Athens users─please sign in to access your institution's subscriptions.

To obtain this item, you may purchase the complete book in print or electronic format on SPIE.org.

ORGANIZATIONAL
Sign in with credentials provided by your organization.

Organizational Username

Organizational Password

Show/Hide Password

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members:

Non-members: ADD TO CART

Keywords/Phrases

Search In:

Publication Years