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Related papers: Single-Volume Neutron Scatter Camera for High-Effi…

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Distributions of inelastically scattered neutrons can be quantum dynamically described by a scattering kernel. We present an accurate and computationally efficient rejection method for sampling a given scattering kernel of any isotropic…

Computational Physics · Physics 2019-02-20 X. X. Cai , T. Kittelmann , E. Klinkby , J. I. Márquez Damián

We have developed a prototype time-resolved neutron imaging detector employing the micro-pixel chamber (muPIC), a micro-pattern gaseous detector, coupled with a field programmable gate array-based data acquisition system for applications in…

Simple and fast analytic method to find out optimal combinations of sizes of neutron moderator and optical system entrance, allowing for the full sample illumination with minimum to none background, is developed. In the case of employing…

Instrumentation and Detectors · Physics 2023-02-28 Petr Konik , Alexander Ioffe

We describe a feasible implementation of a novel X-ray detector for highly energetic x-ray photons with a large solid angle coverage, optimal for the detection of Compton x-ray scattered photons. The device consists of a 20~cm-thick…

Instrumentation and Detectors · Physics 2022-01-27 Ángela Saá Hernández , Diego González-Díaz , Pablo Villanueva , Carlos Azevedo , Marcos Seoane

Hyperspectral neutron computed tomography is a tomographic imaging technique in which thousands of wavelength-specific neutron radiographs are measured for each tomographic view. In conventional hyperspectral reconstruction, data from each…

Potential applications of neutrino detection to nuclear security have been discussed since the 1970s. Recent years have seen great progress in detector technologies based on inverse beta decay, with the demonstration of ton-scale…

Instrumentation and Detectors · Physics 2020-09-30 Maitland Bowen , Patrick Huber

We present Monte Carlo (MC) simulation results from a study of a compact plastic-scintillator detector suitable for imaging fast neutrons in the 1 -- 10 MeV energy range: the miniTimeCube (mTC). Originally designed for antineutrino…

In this paper, we show how to carry out a relatively more realistic and complete reconstruction of supernova neutrino spectra in the future large liquid-scintillator detectors, by implementing the method of singular value decomposition with…

High Energy Physics - Phenomenology · Physics 2018-04-04 Hui-Ling Li , Yu-Feng Li , Meng Wang , Liang-Jian Wen , Shun Zhou

The shutter strategy applied to the photo-shooting process has a significant influence on the quality of the captured photograph. An improper shutter may lead to a blurry image, video discontinuity, or rolling shutter artifact. Existing…

Computer Vision and Pattern Recognition · Computer Science 2023-05-24 Xinyu Zhang , Hefei Huang , Xu Jia , Dong Wang , Huchuan Lu

The Optically Segmented Single Volume Scatter Camera (OS-SVSC) aims to image neutron sources for non-proliferation applications using the kinematic reconstruction of elastic double-scatter events. Our prototype system consists of 64 EJ-204…

We developed a positron emission tomography (PET) system for multiple-isotope imaging. Our PET system, named multiple-isotope PET (MI-PET), can distinguish between different tracer nuclides using coincidence measurement of prompt…

This article presents a physics-informed deep learning method for the quantitative estimation of the spatial coordinates of gamma interactions within a monolithic scintillator, with a focus on Positron Emission Tomography (PET) imaging. A…

Coherent imaging systems like synthetic aperture radar are susceptible to multiplicative noise that makes applications like automatic target recognition challenging. In this paper, NeighCNN, a deep learning-based speckle reduction algorithm…

Image and Video Processing · Electrical Eng. & Systems 2021-08-27 Praveen Ravirathinam , Darshan Agrawal , J. Jennifer Ranjani

A new type of neutron detector, named Stack Structure Solid organic Scintillator (S$^4$), consisting of multi-layer plastic scintillators with capability to suppress low-energy $\gamma$ rays under high-counting rate has been constructed and…

Liquid scintillators are commonly used to detect low energy neutrinos from the reactors, sun, and earth. It is a challenge to reconstruct deposited energies for a large liquid scintillator detector. For detectors with multiple optical…

Instrumentation and Detectors · Physics 2019-03-12 Wenjie Wu , Miao He , Xiang Zhou , Haoxue Qiao

We developed a 12-liter volume neutron detector filled with the liquid scintillator EJ301 that measures neutrons in an underground laboratory where dark matter and neutrino experiments are located. The detector target is a cylindrical…

Instrumentation and Detectors · Physics 2015-06-15 C. Zhang , D. -M. Mei , P. Davis , B. Woltman , F. Gray

We have developed a photon counting detector system for combined neutron and gamma radiography which can determine position, time and intensity of a secondary photon flash created by a high-energy particle or photon within a scintillator…

The outer water buffer is an economic option to shield the external radiative backgrounds for liquid-scintillator neutrino detectors. However, the consequential total reflection of scintillation light at the media boundary introduces extra…

Instrumentation and Detectors · Physics 2022-09-23 Wei Dou , Benda Xu , Jianfeng Zhou , Zhe Wang , Shaomin Chen

Depth reconstruction and hyperspectral reflectance reconstruction are two active research topics in computer vision and image processing. Conventionally, these two topics have been studied separately using independent imaging setups and…

Computer Vision and Pattern Recognition · Computer Science 2022-04-11 Chunyu Li , Yusuke Monno , Masatoshi Okutomi

The design and characteristics of the new very small angle neutron scattering spectrometer under construction at the Laboratoire Leon Brillouin is described. Its goal is to extend the range of scattering vectors magnitudes towards 2x10{-4}…

Soft Condensed Matter · Physics 2007-06-13 Sylvain Desert , Vincent Thevenot , Julian Oberdisse , Annie Brulet