Academic literature on the topic 'Geiger-Mueller tubes'
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Journal articles on the topic "Geiger-Mueller tubes"
Perazic, Luka, Cedomir Belic, and Dalibor Arbutina. "Application of an electronegative gas as a third component of the working gas in the Geiger-Mueller counter." Nuclear Technology and Radiation Protection 33, no. 3 (2018): 268–74. http://dx.doi.org/10.2298/ntrp1803268p.
Full textWatanabe, Tamaki. "A computational analysis of intrinsic detection efficiencies of Geiger–Mueller tubes for photons." Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment 438, no. 2-3 (December 1999): 439–46. http://dx.doi.org/10.1016/s0168-9002(99)00877-3.
Full textZimmie, T. F., M. B. Mahmud, and A. De. "Accelerated physical modelling of radioactive waste migration in soil." Canadian Geotechnical Journal 31, no. 5 (October 1, 1994): 683–91. http://dx.doi.org/10.1139/t94-080.
Full textTaney, Norman E. "LABORATORY APPLICATIONS OF RADIOISOTOPIC TRACERS TO FOLLOW BEACH SEDIMENTS." Coastal Engineering Proceedings 1, no. 8 (January 29, 2011): 17. http://dx.doi.org/10.9753/icce.v8.17.
Full textSharma, Sunil, Ganesh Narayanasamy, Beata Przybyla, Jessica Webber, Marjan Boerma, Richard Clarkson, Eduardo G. Moros, Peter M. Corry, and Robert J. Griffin. "Advanced Small Animal Conformal Radiation Therapy Device." Technology in Cancer Research & Treatment 16, no. 1 (July 8, 2016): 45–56. http://dx.doi.org/10.1177/1533034615626011.
Full textDissertations / Theses on the topic "Geiger-Mueller tubes"
Фесенко, Вероніка Ігорівна. "Автономний пристрій визначення радіаційного фону." Master's thesis, КПІ ім. Ігоря Сікорського, 2020. https://ela.kpi.ua/handle/123456789/38341.
Full textThe master's dissertation on the topic «Autonomous device for determining the background radiation» contains 45 illustrations, 31 tables, 2 appendices, 56 sources. This paper considers the analysis of existing devices and algorithms for radiation control, their disadvantages, and advantages, and the development of hardware and software for radiation detection using modern microcontrollers. Technologies are constantly changing and increasingly affect human activities. However, human activity is not always beneficial. After the accident at the Chernobyl nuclear power plant, the issue of radiation safety for Ukraine has become much more acute. Because after the explosion of the fourth unit of the nuclear reactor, about 7.4 tons of radioactive substances were in the air. The air in the Chernobyl zone is polluted with a large number of isotopes that will slowly kill nature and everything around for almost 270 years. Nowadays, determining the radiation dose is not a problem, because many devices on the market operate in the mode of spectrometers, detectors, dosimeters, alarms, and so on. The sensory elements of these dosimeters are either a Geiger-Mueller counter or a scintillation crystal. Dosimeters based on Geiger-Mueller counters most often record gamma radiation, and dosimeters based on scintillation crystals capture the energy of the radiation spectra. However, no matter what the sensory elements and algorithms of the dosimeters, they all reliably perform the task - the detection of radioactive radiation. Reducing the size of the device without losing its performance becomes a very important topic in the field of radiation control. Because the reduction of dimensions will allow you to always have a device for radiation monitoring and at any time to make sure that there are no dangerous radioactive substances nearby. The aim of the study research is to develop an autonomous system for measuring radiation using modern microcontrollers. To achieve this goal, it was necessary to formulate and solve the following tasks: − Reducing the dimensions of the dosimeter through the use of microcontroller systems; − Formalization of methods for measuring radiation, input effects, and environmental characteristics; − Analysis of existing algorithms and methods for radiation detection; − Development of a radiation detection algorithm; − Improving the accuracy of measured values; − Comparison of the obtained values with normal values; The object of study is a medium with a radiation field. The subject of the study is the modification of existing algorithms and methods of radiation detection. Methods of research are based on the use of neural networks in the algorithm for radiation detection. The scientific novelty is to increase the accuracy of the detection of radiation sources by modifying existing algorithms by a neural network. The practical significance of the obtained results: an algorithm has been developed that compensates for the shortcomings of existing algorithms for radiation detection.