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Journal articles on the topic 'Radiation detection'

Author: Grafiati

Published: 4 June 2021

Last updated: 10 March 2023

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1

Tatarnikov, Denis A., and Aleksey V. Godovykh. "Radiation Detection System." Advanced Materials Research 1040 (September 2014): 980–84. http://dx.doi.org/10.4028/www.scientific.net/amr.1040.980.

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<span><p class="TTPAbstract"><span lang="EN-US">This paper is devoted to the project of making own radiation detection system with some unique features and to make the system more independent for their components, highly-scalable and flexible platform. We develop programs for </span><span lang="DE">collecting and displaying the gamma data on the plot from all of the connected detectors to the system, record them for further post-processing</span><span lang="EN-US"> and </span><span lang="DE">displaying them to user as a breadcrumb on the map.</span></p>

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2

Xing, Zhen Ni, Yang Liu, Guo Zheng Zhu, and Shao Bei Luo. "Neutron Radiation Detection." Applied Mechanics and Materials 668-669 (October 2014): 932–35. http://dx.doi.org/10.4028/www.scientific.net/amm.668-669.932.

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The basic principle of neutron detection was proposed in the twentieth century, especially G.F.Knoll compiled Radiation Detection And Measurement in 1979, including detailed in principles and methods of radiation detection and measurement on a variety of hot and fast neutrons. In recent decades there is not have a big breakthrough on the principle of neutron detection development, but there is a great improvement in the performance and scope of neutron detectors. Depending on the working principle of neutron detector, it is roughly divided into the following three: Gas detectors, Semiconductor detectors and Scintillator detector.

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3

Laqua, K., B. Schrader, G. G. Hoffmann, D. S. Moore, and T. Vo-Dinh. "Detection of radiation." Spectrochimica Acta Part B: Atomic Spectroscopy 52, no. 5 (May 1997): 537–52. http://dx.doi.org/10.1016/s0584-8547(97)83359-9.

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4

Al-Jobouri, Hussain Ali. "Determination the Effect of Gamma Radiation and Thermal Neutron on PM-355 Detector by Using FTIR Spectroscopy." Detection 03, no. 03 (2015): 15–20. http://dx.doi.org/10.4236/detection.2015.33003.

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5

Barberio, M., M. Salvadori, S. Vallières, E. Skantzakis, A. Sarkissian, and P. Antici. "Detection of laser-plasma experiment radiation using nanoparticle coatings as fluorescent sensors." Journal of Instrumentation 17, no. 10 (October 1, 2022): P10001. http://dx.doi.org/10.1088/1748-0221/17/10/p10001.

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Abstract In this paper, we test the possibility to use luminescence of metal (aluminum and silver) nanoparticles (NPs), synthesized using different laser-driven ablation methods, as sensors for radiation detection. Energetic photon and electron radiation produced by intense plasma induces a red-shift in the luminescence emitted by the NPs. Observing the phenomenon over long time periods (hours), we see an oscillating behavior of the luminescence signal, which can be explained in terms of de-trapping of electrons caused by energetic radiations and re-trapping in the empty levels of low energetic electrons emitted from the plasma. Observing the luminescence shift allows detecting electromagnetic and radiation pollution, e.g. when dispersed in an experimental chamber.

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6

Dönmez, Semra. "Radiation Detection and Measurement." Nuclear Medicine Seminars 3, no. 3 (December 1, 2017): 172–77. http://dx.doi.org/10.4274/nts.2017.018.

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7

&NA;. "Exploranium Radiation Detection Systems." Health Physics 77 (November 1999): S119. http://dx.doi.org/10.1097/00004032-199911001-00016.

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8

Schotanus, P. "Miniature radiation detection instruments." Radiation Measurements 24, no. 4 (October 1995): 331–35. http://dx.doi.org/10.1016/1350-4487(94)00118-k.

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9

C. McDonald, J. "Editorial - Radiation detection instruments and radiation measurement instruments." Radiation Protection Dosimetry 106, no. 1 (August 1, 2003): 5–6. http://dx.doi.org/10.1093/oxfordjournals.rpd.a006334.

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10

Zhuang, Jianyou, and Guibing Zheng. "An Intelligent Robot Detection System of Uncontrolled Radioactive Sources." Computational Intelligence and Neuroscience 2022 (September 19, 2022): 1–10. http://dx.doi.org/10.1155/2022/1806601.

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In recent years, radioactive sources have been widely used in various fields (e.g., nuclear industry, agriculture, medical industry, environmental protection, and scientific research) and successfully applied to develop scientific projects, such as nuclear power generation, sewage treatment, medical diagnosis, and new material development. However, radiation sources continuously got out of control and even lost. Manual search for uncontrolled radiation sources is inefficient and prone to radiation injuries. Therefore, it is practically significant to design a radiation source detection robot. Against this backdrop, this study designs an intelligent robot detection system of uncontrolled radiation sources and develops an intelligent robot for detecting and disposing of uncontrolled radiation sources. The research results help to realize the autonomous search and disposal of radiation sources.

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11

Li, Hanshan. "Target infrared radiation calculation model and method based on finite element analysis method in infrared photoelectric detection system." Sensor Review 37, no. 1 (January 16, 2017): 26–32. http://dx.doi.org/10.1108/sr-07-2016-0118.

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Purpose The purpose of this paper is to evaluate the detection performance of infrared photoelectric detection system and establish stable tracking platform. Design/methodology/approach This paper puts forward making use of the finite element analysis method to set up the infrared radiation characteristics calculation model of flying target in infrared photoelectric detection system; researches the target optical characteristics based on the target imaging detection theory; sets up the heat balance equation of target’s surface node and gives the calculation method of total radiation intensity of flying target; and deduces the target detection distance calculation function; studies the changed regulation of radiation energy that charge coupled device (CCD) gain comes from target surface infrared heat radiations under different sky background luminance and different target flight attitude. Findings Through calculation and experiment analysis, the results show that when the target’s surface area increases or the target flight velocity is higher, the radiation energy that CCD obtained is higher, which is advantageous to the target stable detection in infrared photoelectric detection system. Originality/value This paper uses the finite element analysis method to set up the infrared radiation characteristics calculation model of flying target and give the calculation and experiment results; those results can provide some data and improve the design method of infrared photoelectric detection system, and it is of value.

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12

Vu, K. T. C., G. M. Kazaryan, and V. L. Savvin. "Rectenna Detection of Terahertz Radiation." Bulletin of the Russian Academy of Sciences: Physics 84, no. 1 (January 2020): 58–60. http://dx.doi.org/10.3103/s1062873820010293.

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13

Pagano, Sergio. "Josephson Effect and Radiation Detection." Japanese Journal of Applied Physics 37, S2 (January 1, 1998): 19. http://dx.doi.org/10.7567/jjaps.37s2.19.

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14

van Eijk, C. W. E. "Instrumentation for Detection of Radiation." Radiation Protection Dosimetry 77, no. 4 (June 2, 1998): 245–52. http://dx.doi.org/10.1093/oxfordjournals.rpd.a032319.

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15

Gayou, Olivier. "Measurement and Detection of Radiation." Medical Physics 39, no. 7Part2 (July 6, 2012): 4618. http://dx.doi.org/10.1118/1.4729840.

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16

Owens, Alan. "Semiconductor materials and radiation detection." Journal of Synchrotron Radiation 13, no. 2 (February 17, 2006): 143–50. http://dx.doi.org/10.1107/s0909049505033339.

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17

Finn, Lee S. "Detection, measurement, and gravitational radiation." Physical Review D 46, no. 12 (December 15, 1992): 5236–49. http://dx.doi.org/10.1103/physrevd.46.5236.

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18

Chen, Qi, Tibor Hajagos, and Qibing Pei. "Conjugated polymers for radiation detection." Annual Reports Section "C" (Physical Chemistry) 107 (2011): 298. http://dx.doi.org/10.1039/c1pc90011k.

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19

Sawant, Ashwini, Donghyun Kwak, Ingeun Lee, Moses Chung, and EunMi Choi. "Stand-off radiation detection techniques." Review of Scientific Instruments 91, no. 7 (July 1, 2020): 071501. http://dx.doi.org/10.1063/1.5134088.

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20

Kulchitsky, Nikolay, Arkadii Naumov, Vadim Startsev, and Mikhail Dem’yanenko. "Current state and prospects of detectors in the terahertz range. Part 2. Heterodyne detection of terahertz radiation." ADVANCES IN APPLIED PHYSICS 9, no. 6 (December 23, 2021): 499–512. http://dx.doi.org/10.51368/2307-4469-2021-9-6-499-512.

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The paper discusses the problems associated with the development of technology for terahertz radiation detectors. The main physical phenomena and recent progress in various methods of detecting terahertz radiation (direct detection and heterodyne detection) are considered. Advantages and disadvantages of direct detection sensors and sensors with heterodyne detection are discussed. In part 1, a number of features of direct detection are considered and some types of terahertz direct detection detectors are described. Part 2 will describe heterodyne detection and continue to describe some types of modern photonic terahertz receivers.

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21

Lee, Minwoong, Namho Lee, Huijeong Gwon, Jongyeol Kim, Younggwan Hwang, and Seongik Cho. "Design of Radiation-Tolerant High-Speed Signal Processing Circuit for Detecting Prompt Gamma Rays by Nuclear Explosion." Electronics 11, no. 18 (September 19, 2022): 2970. http://dx.doi.org/10.3390/electronics11182970.

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Electronic equipment in nuclear power plants and nuclear warfare is damaged by transient effects that cause high-energy pulsed radiation. There is a concern that this type of damage can even cause enormous economic losses and human casualties by paralyzing control systems. To solve this problem, this study proposes a complementary metal-oxide semiconductor (CMOS) logic-based, switching detection circuit that can detect pulsed radiations at a fast rate. This circuit improved response speed and power consumption by using the switching operation of digital logic compared with conventional circuits. Furthermore, radiation tolerance to total ionizing dose (TID) effects was achieved even in a cumulative radiation environment because of the use of the design using p-metal-oxide semiconductor field effect transistor (p-MOSFET). The proposed detection circuit was manufactured by a 0.18 µm CMOS bulk process for integration. Normal operation in the detection range of 2.0 × 107 rad(si)/s was verified by pulsed radiation test evaluations, and the tolerance properties to a radiation of 2 Mrad was verified based on cumulative radiation test evaluations.

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22

Zhang, Meng, Yan Ru Chen, Ling Fei Xu, and Yong Qing Wang. "A Novel Optic Senor for Real-Time Metal Analysis in the BOF Steelmaking Process." Advanced Materials Research 156-157 (October 2010): 1594–97. http://dx.doi.org/10.4028/www.scientific.net/amr.156-157.1594.

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A fiber optic senor for carbon content measurement of the molten steel in a basic oxygen furnace (BOF) is described. The sensor includes a fiber optic cable for transmission of the optical radiation from the radiation collection head to the multi-wavelength detection unit located in remote area from a furnace. The radiation collection head includes a telephoto lens aimed at the furnace mouth to collect, and thus enhance, the effective radiant energy emitted from the hostile environment adjacent a furnace as well as to reduce spurious radiations from other nearby furnaces. The detection unit based on emission spectroscopy converts the radiations into digital signals and the signal information processed to determine the carbon content of the steel contained in the metallurgical furnace. The Preliminary results after online carbon content sensing are discussed.

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23

Wartofsky, Leonard. "Increasing world incidence of thyroid cancer: Increased detection or higher radiation exposure?" HORMONES 9, no. 2 (April 15, 2010): 103–8. http://dx.doi.org/10.14310/horm.2002.1260.

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24

Elaraby, Wessam S., and Ahmed H. Madian. "Meta-heuristic Optimization Algorithms for Irradiated Fruits and Vegetable Image Detection." WSEAS TRANSACTIONS ON COMPUTERS 21 (April 20, 2022): 118–30. http://dx.doi.org/10.37394/23205.2022.21.17.

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Despite the food irradiation benefits, it isn’t accepted. Food irradiation is the process that exposed foodi to ionizationi radiation, suchi as electroni beams, X-raysi, or gammai radiationi to inactivate food spoilage organisms. This paper discusses the effect of radiation on the food images, how the food changes before and after taking the radiation dose, and how the PSNR (Peak Signal to Noise Ratio) changes using different metaheuristic optimization algorithms. In this paper, Image Segmentation is based on three different metaheuristic algorithms used to detect the difference between before and after irradiation. The three algorithms are (1) PSOi (Particle Swarmi Optimization), DPSOi (Darwiniani PSO), andi FO-DPSOi (Fractional-Orderi DPSOi), (2) CS (Cuckoo Search), and (3) SFLA (Shuffled Frog Leaping Algorithm). The algorithms succeeded in discovering the effect of radiation on Green Apple, Cucumber, and Orange even if it is not visually recognized. Also, the histogram of the image shows the difference between before and after irradiation.

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25

Liu, Yinghui. "Impacts of active satellite sensors' low-level cloud detection limitations on cloud radiative forcing in the Arctic." Atmospheric Chemistry and Physics 22, no. 12 (June 23, 2022): 8151–73. http://dx.doi.org/10.5194/acp-22-8151-2022.

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Abstract. Previous studies revealed that satellites sensors with the best detection capability identify 25 %–40 % and 0 %–25 % fewer clouds below 0.5 and between 0.5–1.0 km, respectively, over the Arctic. Quantifying the impacts of cloud detection limitations on the radiation flux are critical especially over the Arctic Ocean considering the dramatic changes in Arctic sea ice. In this study, the proxies of the space-based radar, CloudSat, and lidar, CALIPSO (Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations), cloud masks are derived based on simulated radar reflectivity with QuickBeam and cloud optical thickness using retrieved cloud properties from surface-based radar and lidar during the Surface Heat Budget of the Arctic Ocean (SHEBA) experiment. Limitations in low-level cloud detection by the space-based active sensors, and the impact of these limitations on the radiation fluxes at the surface and the top of the atmosphere (TOA), are estimated with radiative transfer model Streamer. The results show that the combined CloudSat and CALIPSO product generally detects all clouds above 1 km, while detecting 25 % (9 %) fewer in absolute values below 600 m (600 m to 1 km) than surface observations. These detection limitations lead to uncertainties in the monthly mean cloud radiative forcing (CRF), with maximum absolute monthly mean values of 2.5 and 3.4 Wm−2 at the surface and TOA, respectively. Cloud information from only CALIPSO or CloudSat lead to larger cloud detection differences compared to the surface observations and larger CRF uncertainties with absolute monthly means larger than 10.0 Wm−2 at the surface and TOA. The uncertainties for individual cases are larger – up to 30 Wm−2. These uncertainties need to be considered when radiation flux products from CloudSat and CALIPSO are used in climate and weather studies.

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26

Baskov, Pyotr B., Gleb V. Marichev, Vyacheslav V. Sakharov, and Vladimir A. Stepanov. "Nuclear-optical converters for detecting intense neutron." Nuclear Energy and Technology 8, no. 1 (March 17, 2022): 31–36. http://dx.doi.org/10.3897/nucet.8.82558.

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In the design of nuclear-optical converters (NOC) for detecting intense neutron fields (fluxes over 1015 cm–2·s–1), it is proposed to use hybrid gas ionization chambers (IC), in which electrical and optical neutron detecting methods are combined. For hybrid ICs, a technology is proposed for obtaining radiation-resistant and mechanically strong radiator materials capable of operating at temperatures of up to 1000 °C. This technology is based on solid-phase boron diffusion saturation of steel. It is shown that, at thermal neutron fluxes of 1×1010 n/(cm2·s) and higher, the integral intensity of argon luminescence as a result of ionization by α-particles and 7Li ions from layers of boride phases is sufficient for detection. The combination of optical and radiation properties of multicomponent fluoride glasses makes it possible to use them as condensed active substances of NOCs. Choosing the elemental and isotopic composition, it becomes possible to use fluoride glasses for multichannel neutron detection as well as to significantly simplify the procedure for separating gamma and neutron components of radiation under conditions of intense radiation fluxes. It has been experimentally shown that in irradiation with a neutron flux of 1×1017 n/(cm2·s), the intensity of Nd IR luminescence in glasses based on zirconium fluoride (ZBLAN) increases in the presence of Gd, which interacts with neutrons.

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27

Pradeep Kumar, K. A., G. A. Shanmugha Sundaram, B. K. Sharma, S. Venkatesh, and R. Thiruvengadathan. "Advances in gamma radiation detection systems for emergency radiation monitoring." Nuclear Engineering and Technology 52, no. 10 (October 2020): 2151–61. http://dx.doi.org/10.1016/j.net.2020.03.014.

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28

Liu, Zheng, and Shiva Abbaszadeh. "Double Q-Learning for Radiation Source Detection." Sensors 19, no. 4 (February 24, 2019): 960. http://dx.doi.org/10.3390/s19040960.

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Anomalous radiation source detection in urban environments is challenging due to the complex nature of background radiation. When a suspicious area is determined, a radiation survey is usually carried out to search for anomalous radiation sources. To locate the source with high accuracy and in a short time, different survey approaches have been studied such as scanning the area with fixed survey paths and data-driven approaches that update the survey path on the fly with newly acquired measurements. In this work, we propose reinforcement learning as a data-driven approach to conduct radiation detection tasks with no human intervention. A simulated radiation environment is constructed, and a convolutional neural network-based double Q-learning algorithm is built and tested for radiation source detection tasks. Simulation results show that the double Q-learning algorithm can reliably navigate the detector and reduce the searching time by at least 44% compared with traditional uniform search methods and gradient search methods.

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29

HAYASHI, Tatsuro. "New optical detectors for radiation detection." RADIOISOTOPES 38, no. 6 (1989): 294–303. http://dx.doi.org/10.3769/radioisotopes.38.6_294.

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30

Koshimizu, Masanori, and Keisuke Asai. "15 Basic Processes in Radiation Detection." RADIOISOTOPES 66, no. 11 (2017): 519–23. http://dx.doi.org/10.3769/radioisotopes.66.519.

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31

Sahoo, Niroj Kumar, Richa Ranjan, Mudit Tyagi, Hitesh Agrawal, and Subhakar Reddy. "Radiation Retinopathy: Detection and Management Strategies." Clinical Ophthalmology Volume 15 (September 2021): 3797–809. http://dx.doi.org/10.2147/opth.s219268.

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32

Lin, Ziyu, Shichao Lv, Zhongmin Yang, Jianrong Qiu, and Shifeng Zhou. "Structured Scintillators for Efficient Radiation Detection." Advanced Science 9, no. 2 (November 10, 2021): 2102439. http://dx.doi.org/10.1002/advs.202102439.

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33

Oh, Jae-kyun, Seok-Jae Lee, and Young-kil Kim. "Full-digital portable radiation detection system." Journal of the Korea Institute of Information and Communication Engineering 19, no. 6 (June 30, 2015): 1436–42. http://dx.doi.org/10.6109/jkiice.2015.19.6.1436.

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34

Ikushima, Kenji, Shunsuke Watanuki, and Susumu Komiyama. "Detection of acoustically induced electromagnetic radiation." Applied Physics Letters 89, no. 19 (November 6, 2006): 194103. http://dx.doi.org/10.1063/1.2374847.

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35

Bradley, D. A. "Detection of charged-particle ionising radiation." European Journal of Physics 9, no. 2 (April 1, 1988): 127–30. http://dx.doi.org/10.1088/0143-0807/9/2/008.

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36

Boxma, Annemieke, Maarten Lequin, Luca A. Ramenghi, Max Kros, and Paul Govaert. "Sonographic detection of the optic radiation." Acta Paediatrica 94, no. 10 (January 2, 2007): 1455–61. http://dx.doi.org/10.1111/j.1651-2227.2005.tb01820.x.

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37

Miller, William H. "Radiation Detection and Measurement, 2nd Edition." Nuclear Technology 90, no. 2 (May 1990): 266. http://dx.doi.org/10.13182/nt90-a34420.

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38

Adhikari, Rana X. "Gravitational radiation detection with laser interferometry." Reviews of Modern Physics 86, no. 1 (February 21, 2014): 121–51. http://dx.doi.org/10.1103/revmodphys.86.121.

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39

Frame, Paul W. "A HISTORY OF RADIATION DETECTION INSTRUMENTATION." Health Physics 88, no. 6 (June 2005): 613–37. http://dx.doi.org/10.1097/00004032-200506000-00008.

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40

Kramer, David. "DHS changes tack on radiation detection." Physics Today 64, no. 9 (September 2011): 32–33. http://dx.doi.org/10.1063/pt.3.1253.

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41

Frame, Paul W. "A HISTORY OF RADIATION DETECTION INSTRUMENTATION." Health Physics 87, no. 2 (August 2004): 111–35. http://dx.doi.org/10.1097/00004032-200408000-00001.

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42

Petrov, D. V., D. E. Genin, and V. A. Korolkov. "IR-radiation detection by ultrasonic thermometry." Technical Physics Letters 43, no. 5 (May 2017): 421–23. http://dx.doi.org/10.1134/s1063785017050108.

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43

Boxma, Annemieke, Maarten Lequin, Luca Ramenghi, Max Kros, and Paul Govaert. "Sonographic detection of the optic radiation." Acta Paediatrica 94, no. 10 (October 1, 2005): 1455–61. http://dx.doi.org/10.1080/08035250510031331.

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44

Foulon, F., T. Pochet, E. Gheeraert, and A. Deneuville. "CVD diamond films for radiation detection." IEEE Transactions on Nuclear Science 41, no. 4 (1994): 927–32. http://dx.doi.org/10.1109/23.322833.

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45

Wakely, S. P. "Precision X-ray transition radiation detection." Astroparticle Physics 18, no. 1 (August 2002): 67–87. http://dx.doi.org/10.1016/s0927-6505(01)00182-7.

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46

Sarkar, R., B. K. Chatterjee, B. Roy, and S. C. Roy. "Radiation detection by using superheated droplets." Radiation Physics and Chemistry 75, no. 12 (December 2006): 2186–94. http://dx.doi.org/10.1016/j.radphyschem.2005.10.007.

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47

Bergonzo, P., A. Brambilla, D. Tromson, C. Mer, B. Guizard, F. Foulon, and V. Amosov. "CVD diamond for radiation detection devices." Diamond and Related Materials 10, no. 3-7 (March 2001): 631–38. http://dx.doi.org/10.1016/s0925-9635(00)00554-9.

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48

Rosu, Haret C. "Quantum Vacuum Radiation and Detection Proposals." International Journal of Theoretical Physics 44, no. 4 (April 2005): 493–528. http://dx.doi.org/10.1007/s10773-005-3979-4.

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49

Marnieros, S., L. Dumoulin, A. Benoit, L. Berge, P. Camus, S. Collin, A. Juillard, and C. A. Marrache-Kikuchi. "All electron bolometer for radiation detection." Journal of Physics: Conference Series 150, no. 1 (February 1, 2009): 012027. http://dx.doi.org/10.1088/1742-6596/150/1/012027.

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50

Yotsuya, Tsutom, Hirofumi Imokawa, and Qian-Sheng Yang. "Infrared Radiation Detection with YBa2Cu3O7-dMicrobridge." Japanese Journal of Applied Physics 30, Part 2, No. 12B (December 15, 1991): L2091—L2094. http://dx.doi.org/10.1143/jjap.30.l2091.

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