27 citations · 112 across the 17 of their papers we have counts for
15 papers · 1 filter
Machine learning methods for spectroscopic information recovery under ultrafast photon pileup
Jayson R. Vavrek, Thomas D. MacDonald, Yue Shi Lai
We present methods for recovering spectroscopic information from multiple concurrent photon interactions that would normally be lost due to pulse pileup. In particular, we focus on…
Transferability of data-driven optimization results across multiple pixelated CdZnTe spectrometers
Thomas D. MacDonald, Hannah S. Parrilla, Jayson R. Vavrek
Recent work by Vavrek et al. (2025) showed that machine learning methods can be used to exploit spatial patterns of performance variations within the highly-segmented H3D M400 gamm…
Inter-detector differential fuzz testing for tamper detection in gamma spectrometers
Pei Yao Li, Jayson R. Vavrek, Sean Peisert
We extend physical differential fuzz testing as an anti-tamper method for radiation detectors [Vavrek et al., Science and Global Security 2025] to comparisons across multiple detec…
Data-driven optimization of pixelated CdZnTe spectrometers for uranium enrichment assay
Jayson R. Vavrek, Thomas D. MacDonald, Hannah S. Parrilla +3
In recent work [Vavrek et al. (2025)], we developed the performance optimization framework spectre-ml for gamma spectrometers with variable performance across many readout channels…
Data-driven performance optimization of gamma spectrometers with many channels
Jayson R. Vavrek, Hannah S. Parrilla, Gabriel Aversano +3
In gamma spectrometers with variable spectroscopic performance across many channels (e.g., many pixels or voxels), a tradeoff exists between including data from successively worse-…
Demonstration of a new CLLBC-based gamma- and neutron-sensitive free-moving omnidirectional imaging detector
Jayson R. Vavrek, Ryan Pavlovsky, Victor Negut +4
We have developed a CLLBC-based gamma- and neutron-sensitive multi-channel omnidirectional imaging detector, suitable for handheld or vehicle-borne operation and capable of quantit…
Surrogate distributed radiological sources III: quantitative distributed source reconstructions
Jayson R. Vavrek, Jaewon Lee, Marco Salathe +4
In this third part of a multi-paper series, we present quantitative image reconstruction results from aerial measurements of eight different surrogate distributed gamma-ray sources…
Differential fuzz testing to detect tampering in sensor systems and its application to arms control authentication
Jayson R Vavrek, Luozhong Zhou, Joshua Boverhof +3
In future nuclear arms control treaties, it will be necessary to authenticate the hardware and software components of verification measurement systems, i.e., to ensure these system…
Tetris-inspired detector with neural network for radiation mapping
Ryotaro Okabe, Shangjie Xue, Jiankai Yu +6
In recent years, radiation mapping has attracted widespread research attention and increased public concerns on environmental monitoring. In terms of both materials and their confi…
Design and deployment of radiological point-source arrays for the emulation of continuous distributed sources
Jayson R. Vavrek, C. Corey Hines, Mark S. Bandstra +6
We demonstrate a method for using arrays of point sources that emulate -- when measured from a standoff of at least several meters -- distributed gamma-ray sources, and present res…
Free-moving Quantitative Gamma-ray Imaging
Daniel Hellfeld, Mark S. Bandstra, Jayson R. Vavrek +11
The ability to map and estimate the activity of radiological source distributions in unknown three-dimensional environments has applications in the prevention and response to radio…
Improved Gamma-Ray Point Source Quantification in Three Dimensions by Modeling Attenuation in the Scene
M. S. Bandstra, D. Hellfeld, J. R. Vavrek +8
Using a series of detector measurements taken at different locations to localize a source of radiation is a well-studied problem. The source of radiation is sometimes constrained t…
Reconstructing the Position and Intensity of Multiple Gamma-Ray Point Sources with a Sparse Parametric Algorithm
Jayson R. Vavrek, Daniel Hellfeld, Mark S. Bandstra +8
We present an experimental demonstration of Additive Point Source Localization (APSL), a sparse parametric imaging algorithm that reconstructs the 3D positions and activities of mu…
High-accuracy Geant4 simulation and semi-analytical modeling of nuclear resonance fluorescence
Jayson R Vavrek, Brian S Henderson, Areg Danagoulian
Nuclear resonance fluorescence (NRF) is a photonuclear interaction that enables highly isotope-specific measurements in both pure and applied physics scenarios. High-accuracy desig…
Experimental demonstration of an isotope-sensitive warhead verification technique using nuclear resonance fluorescence
Jayson R Vavrek, Brian S Henderson, Areg Danagoulian
Future nuclear arms reduction efforts will require technologies to verify that warheads slated for dismantlement are authentic without revealing any sensitive weapons design inform…