This query concerns only resources held in libraries.
5 results
Sort by:
Add to the list:
Expand to all references (without full text)
• Article
Select

### Characterization of gamma-ray background outside of the High Flux Isotope Reactor

Nicholson, Andrew, Archer, Daniel, Garishvili, Irakli, Stewart, Ian, Willis, Michael
Journal of Radioanalytical and Nuclear Chemistry, 2018, Vol.318(1), pp.361-367 [Peer Reviewed Journal]
Springer Science & Business Media B.V.
Available
Title: Characterization of gamma-ray background outside of the High Flux Isotope Reactor
Author: Nicholson, Andrew; Archer, Daniel; Garishvili, Irakli; Stewart, Ian; Willis, Michael
Subject: Environmental radioactivity ; Gamma-ray background ; Radiation detection
Description: Static gamma-ray measurements collected between September 2017 and March 2018 in the vicinity of the High Flux Isotope Reactor (HFIR) and the Radiochemical Engineering Development Center (REDC) at Oak Ridge National Laboratory are presented. Temporal events are identified and tracked, including radioactive material transfers, rain events, and 41 Ar emissions. The remaining data is used to determine the average background and its variation. These results will be used to benchmark Monte Carlo transport models of the HFIR/REDC vicinity and provide training data for material transfer tracking algorithms and data fusion algorithms to determine HFIR operational status under the Multi-Informatics for Nuclear Operations Scenarios program.
Is part of: Journal of Radioanalytical and Nuclear Chemistry, 2018, Vol.318(1), pp.361-367
Identifier: 0236-5731 (ISSN); 1588-2780 (E-ISSN); 10.1007/s10967-018-6097-5 (DOI)
• Article
Select

### Understanding and quantifying the systematic effects of clutter within a radiation detection scene

Stewart, Ian, Nicholson, Andrew, Archer, Daniel, Willis, Michael, Swinney, Mathew, Garishvili, Irakli, Ray, William
Journal of Radioanalytical and Nuclear Chemistry, 2018, Vol.318(1), pp.727-737 [Peer Reviewed Journal]
Springer Science & Business Media B.V.
Available
Title: Understanding and quantifying the systematic effects of clutter within a radiation detection scene
Author: Stewart, Ian; Nicholson, Andrew; Archer, Daniel; Willis, Michael; Swinney, Mathew; Garishvili, Irakli; Ray, William
Subject: Background radiation ; Background variability ; Gamma-ray detection ; Radiation clutter ; Dynamic detection scenarios ; Radiation detection noise
Description: Because of low signal-to-noise ratios, the main difficultly in real-world detection scenarios is distinguishing between benign sources and potentially-threatening radioactive materials. The variability in observed signal during a radiation detection search operation can be contributed to the stochastic nature of the underlying physics and the systematic errors inherent to the detection systems employed. This variability is compounded for dynamic detection scenarios, where objects, referred to as clutter, traverse through the primary detection scene, introducing potential suppressions in the observed signal due to the attenuation of background radiation. This study examines the impact that clutter, namely automobiles such as small utility vehicles, sedans, and trucks, produces on the observed signal in a 2 in. × 4 in. × 16 in. NaI(Tl) detector. The clutter is identified and tracked in the detection scene using a time-synced video camera and a 2-D light distance and ranging contextual sensors. Two experiments were performed on the Oak Ridge National Laboratory reservation: one using a distributed source within the scene to understand the systematics of detecting and analyzing the clutter, and the second experiment mimicking an urban environment with large buildings positioned on either side of a roadway. The experiments exhibited unique results in the amount of signal suppression and variability of the cluttered signal, both demonstrating an observable suppression from the clutter-free background. These results reveal a new potential category of signal noise intrinsic to real-world detection scenarios that should be considered when establishing detection thresholds based on expected values.
Is part of: Journal of Radioanalytical and Nuclear Chemistry, 2018, Vol.318(1), pp.727-737
Identifier: 0236-5731 (ISSN); 1588-2780 (E-ISSN); 10.1007/s10967-018-6159-8 (DOI)
• Several versions

### Open Heavy Flavor Production at Forward Rapidity in Cu+Cu Collisions

Garishvili, Irakli
arXiv.org, Sep 29, 2009 [Peer Reviewed Journal]

• Several versions