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相关论文: Material Discrimination in Cosmic Muon Imaging usi…

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Gamma-ray emission from special nuclear material (SNM) is relatively easy to shield from detection using modest amounts of high-Z material. In contrast, fast-neutrons are much more penetrating and can escape relatively thick high-Z…

Porous materials are widely used in different applications, in particular they are used to create various filters. Their quality depends on parameters that characterize the internal structure such as porosity, permeability and so on.…

计算机视觉与模式识别 · 计算机科学 2019-10-18 V. Kokhan , M. Grigoriev , A. Buzmakov , V. Uvarov , A. Ingacheva , E. Shvets , M. Chukalina

The standard Super-Kamiokande analysis uses an estimator for particle identification by which it discriminates electrons (electron nutrinos) from muons (muon nutrinos). Use of this estimator has led to the claim of a significant deficiency…

高能物理 - 实验 · 物理学 2007-05-23 V. I. Galkin , A. M. Anokhina , E. Konishi , A. Misaki

We integrate a small and portable medical x-ray device with mechanical testing equipment to enable in-situ, non-invasive measurements of a granular material's response to mechanical loading. We employ an orthopedic C-arm as the x-ray source…

Primary cosmic rays when interact with our atmosphere, produce a cascade of lighter secondary particles namely pion, kaon, neutrons, muons, electrons, positrons and neutrinos. Muons are one of the most abundant and easily detectable…

Materials characterization remains a significant, time-consuming undertaking. Generally speaking, spectroscopic techniques are used in conjunction with empirical and ab-initio calculations in order to elucidate structure. These experimental…

材料科学 · 物理学 2014-05-15 William J. Brouwer , James D. Kubicki , Jorge O. Sofo , C. Lee Giles

Muon tomography is a non-destructive imaging technique that uses cosmic-ray muons to probe dense materials. Bar scintillator and scintillating fiber detectors equipped with one-dimensional SiPM arrays offer compact, high-resolution…

仪器与探测器 · 物理学 2026-04-06 Chenghan Lv , Kun Hu , Huiling Li , Hui Liang , Cong Liu , Hongbo Wang , Zibing Wu , Weiwei Xu

High-contrast imaging (HCI) is one of the most challenging techniques for exoplanet detection. It relies on sophisticated data processing to reach high contrasts at small angular separations. Most data processing techniques of this type are…

天体物理仪器与方法 · 物理学 2021-02-10 Carl-Henrik Dahlqvist , Olivier Absil

Neutron and X-ray scattering represent two state-of-the-art materials characterization techniques that measure materials' structural and dynamical properties with high precision. These techniques play critical roles in understanding a wide…

Representation-based classification methods such as sparse representation-based classification (SRC) and linear regression classification (LRC) have attracted a lot of attentions. In order to obtain the better representation, a novel method…

计算机视觉与模式识别 · 计算机科学 2017-12-06 Qingxiang Feng , Yicong Zhou

We describe a novel experimental technique for neutron imaging with scattered neutrons. These scattered neutrons are of interest for condensed matter physics, because they permit to reveal the local distribution of incoherent and coherent…

核实验 · 物理学 2007-05-23 H. Ballhausen , H. Abele , R. Gaehler , M. Trapp , A. Van Overberghe

We present two backscattering polarimetric scanning setups based on point-illumination schemes, that are designed to probe the optical properties of subsurface media. We describe their advantages and limitations, characterize their…

光学 · 物理学 2026-05-28 Bhanu P. Singh , Vladislav Stefanov , Nadine A. Coorens , Andre Stefanov

In this work, we propose a new approach to cosmic ray muon momentum measurement using multiple pressurized gaseous Cherenkov radiators. Knowledge of cosmic ray muon momentum has the potential to significantly improve and expand the use of a…

仪器与探测器 · 物理学 2021-10-29 Junghyun Bae , Stylianos Chatzidakis

Purpose: Magnetic polarizability tensors (MPTs) provide an economical characterisation of conducting magnetic metallic objects and their spectral signature can aid in the solution of metal detection inverse problems, such as scrap metal…

数值分析 · 数学 2024-05-01 James Elgy , Paul D. Ledger

Muography is a non-invasive imaging technique that exploits cosmic-ray muons to probe various targets by analyzing the absorption or scattering of muons. The method is particularly useful for applications ranging from geophysical…

应用物理 · 物理学 2024-12-02 Hamid Basiri , Tadahiro Kin , Eduardo Cortina Gil , Andrea Giammanco

Raman spectroscopy is an effective, low-cost, non-intrusive technique often used for chemical identification. Typical approaches are based on matching observations to a reference database, which requires careful preprocessing, or supervised…

机器学习 · 计算机科学 2022-10-12 Bo Li , Mikkel N. Schmidt , Tommy S. Alstrøm

We propose a new technique for estimating spatially varying parametric materials from a single image of an object with unknown shape in unknown illumination. Our method uses a low-order parametric reflectance model, and incorporates strong…

图形学 · 计算机科学 2019-12-30 Kevin Karsch , David Forsyth

Gildings, patinas and alteration crusts are common features of many heritage artefacts, especially for metals. Their size depends on many factors, like the manufacturing method for gildings or the conservation state for alteration crusts:…

化学物理 · 物理学 2025-05-09 M. Cataldo , A. D Hillier , O. Cremonesi , F. Grazzi , S. Porcinai , M. Clemenza

Muon counting is an effective strategy for discriminating between gamma and hadron-initiated air showers. However, their detection, which requires shielded detectors, is highly expensive and challenging to implement across large,…

高能物理 - 唯象学 · 物理学 2026-01-27 A. Bakalová , R. Conceição , L. Gibilisco , V. Novotný , M. Pimenta , B. Tomé , J. Vícha

Object recognition systems are usually trained and evaluated on high resolution images. However, in real world applications, it is common that the images have low resolutions or have small sizes. In this study, we first track the…

计算机视觉与模式识别 · 计算机科学 2023-03-15 Amir Ghasemi , Nasrin Bayat , Fatemeh Mottaghian , Akram Bayat
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