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Poster: "Radiation Remote Laboratory" with two level diagnostics
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| Title: | Poster: "Radiation Remote Laboratory" with two level diagnostics |
| Author: | Krbeček, Michal; Das, Sayan; Schauer, Franz; Ožvoldová, Miroslava; Lustig, František |
| Document type: | Conference paper (English) |
| Source document: | Smart Industry & Smart Education. 2019, vol. 47, p. 312-320 |
| ISSN: | 2367-3370 (Sherpa/RoMEO, JCR) |
| ISBN: |
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| DOI: | https://doi.org/10.1007/978-3-319-95678-7_36 |
| Abstract: | The paper describes the remote experiment "Radiation Remote Laboratory" with two levels diagnostic system, built on ISES - Internet School Experimental System, accessible across the Internet and provided via the system REMLABNET (http://www.remlabnet.eu/). The remote experiment strives to provide the basic knowledge on gamma radioactivity and/or gamma radiation and its basic application laws, and parameters like its Poisson distribution, intensity dependence on distance from the point source and provides basic ideas about its absorption in various materials. Absorption in Cu on thickness of the Cu material is possible to examine in detail. Besides, this experiment serves to develop the basic knowledge for handling the radioactive materials in education and practice. |
| Full text: | https://link.springer.com/chapter/10.1007/978-3-319-95678-7_36 |
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ČSN ISO 690:2011 citation
Citace článku v konferenčním sborníku:
KRBEČEK, Michal, Sayan DAS, Franz SCHAUER, Miroslava OŽVOLDOVÁ a František LUSTIG. Poster: "Radiation Remote Laboratory" with two level diagnostics. In: Smart Industry & Smart Education [online]. Duesseldorf: Springer International Publishing Ag, 2019, s. 312-320. [cit. 2024-11-25]. ISSN 2367-3370. Dostupné z: https://link.springer.com/chapter/10.1007/978-3-319-95678-7_36.
These citations are software generated and may contain errors. To verify accuracy, check the appropriate style guide.
KRBEČEK, Michal, Sayan DAS, Franz SCHAUER, Miroslava OŽVOLDOVÁ a František LUSTIG. Poster: "Radiation Remote Laboratory" with two level diagnostics. In: Smart Industry & Smart Education [online]. Duesseldorf: Springer International Publishing Ag, 2019, s. 312-320. [cit. 2024-11-25]. ISSN 2367-3370. Dostupné z: https://link.springer.com/chapter/10.1007/978-3-319-95678-7_36.
These citations are software generated and may contain errors. To verify accuracy, check the appropriate style guide.
