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Daniel Hellfeld

Researcher at Lawrence Berkeley National Laboratory

Publications -  16
Citations -  163

Daniel Hellfeld is an academic researcher from Lawrence Berkeley National Laboratory. The author has contributed to research in topics: Detector & Iterative reconstruction. The author has an hindex of 6, co-authored 12 publications receiving 96 citations. Previous affiliations of Daniel Hellfeld include University of California, Berkeley.

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Gamma-Ray Point-Source Localization and Sparse Image Reconstruction Using Poisson Likelihood

TL;DR: This paper first forms a point-source localization (PSL) approach as an optimization problem, then extends and generalizes this formulation to an iterative algorithm, called additive PSL (APSL), for sparse parametric image reconstruction, finding improved image accuracy and computational efficiency with APSL over traditional grid-based approaches.
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Real-Time Free-Moving Active Coded Mask 3D Gamma-Ray Imaging

TL;DR: The approach to real-time reconstruction using a scene-data-constrained graphics processing unit (GPU)-accelerated list-mode maximum likelihood expectation maximization (MLEM) algorithm is presented and results from several measurements in the lab and in the field are shown.
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A Spherical Active Coded Aperture for $4\pi $ Gamma-Ray Imaging

TL;DR: In this article, an active coded spherical configuration of 1-cm3 CdZnTe coplanar grid detectors on a 14-cm diameter sphere with 192 available detector locations is presented.
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Reconstructing the direction of reactor antineutrinos via electron scattering in Gd-doped water Cherenkov detectors

TL;DR: In this article, the potential of elastic antineutrino-electron scattering in a Gd-doped water Cherenkov detector to determine the direction of a nuclear reactor antineurino flux was investigated using the recently proposed WATCHMAN experiment as a baseline model and the expected scattering rate was determined assuming a 13-km standoff from a 3.758GWt light water nuclear reactor and the detector response was modeled using a Geant4-based simulation package.