RELIABILITY OF FAST-MOVING OBJECTS RECORDING BY CCD-SYSTEM IN METEOR ASTRONOMY
- Authors: Zhabin V.S.1, Murtazov A.K.1
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Affiliations:
- Ryazan State University named after S.A. Yesenin
- Issue: No 1 (2025)
- Pages: 103-108
- Section: DESIGN AND TECHNOLOGY OF INSTRUMENTATION AND ELECTRONIC EQUIPMENT
- URL: https://journals.rcsi.science/2307-4205/article/view/289986
- DOI: https://doi.org/10.21685/2307-4205-2025-1-13
- ID: 289986
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Abstract
Background. The probability of meteor automatic recording (facility response to the meteor appearance in the frame) as an indication of fast-moving meteor phenomena recording reliability is considered. Materials and methods. CCD cameras’ characteristics are analyzed, as well as linearity boarders of meteor magnitude photometric measurements are found. Results and conclusions. The results of assessing the probability of fast-moving Perseids meteors recording by the CCD system for different recording thresholds are presented. The recording probability comes up to 1 starting from the photometric curve linear part (approximately 2m) and sharply reduces when coming up to the recording threshold.
About the authors
Vyacheslav S. Zhabin
Ryazan State University named after S.A. Yesenin
Author for correspondence.
Email: slavkaj@yandex.ru
Postgraduate student, researcher of the Astronomical Observatory
(46 Svobody street, Ryazan, Russia)Andrey K. Murtazov
Ryazan State University named after S.A. Yesenin
Email: akmurtazov@gmail.com
Doctor of technical sciences, professor, director of the Astronomical Observatory
(46 Svobody street, Ryazan, Russia)References
- Mironov V.V. Comparison of space debris registration systems. Kosmicheskie issledovaniya = Space research. 1996;34(4):414–419. (In Russ.)
- Mironov V.V. Methodology for estimating the density of space debris based on data from on-board recording systems. Kosmicheskie issledovaniya = Space Research. 2003;41(2):220–224. (In Russ.)
- Mironov V.V., Mukhin A.V. System analysis of collisions of small space debris with a spacecraft. Trudy ISA RAN. Dinamika neodnorodnykh system = Proceedings of the ISA RAS. Dynamics of heterogeneous systems. 2008;32(2):320–325. (In Russ.)
- Mironov V.V., Murtazov A.K., Usovik I.V. Sistemnye metody monitoringa okolozemnogo kosmicheskogo prostranstva: monografiya = System methods of monitoring near-Earth space : monograph. Ryazan': Izd. Konyakhin A.V. (Book Jet), 2018:312. (In Russ.)
- Mironov V.V., Murtazov A.K. A retrospective of the problem of space debris. Part 2. Monitoring of natural space debris in near-Earth space by methods of meteor astronomy. Kosmicheskie issledovaniya = Space Research. 2021;59(1):51–62. (In Russ.). doi: 10.31857/S0023420621010064
- Murtazov A.K. Monitoring zagryazneniy okolozemnogo prostranstva opticheskimi sredstvami = Monitoring of near-Earth space pollution by optical means. Ryazan': RGU imeni S.A. Esenina, 2010:252. (In Russ.). doi: 10.13140/RG.2.1.3644.0721
- Jenniskens P., Gural P.S., Dynneson L. et al. CAMS: Cameras for All-sky Meteor Surveillance to establish minor meteor showers. Icarus. 2011;216:40–61. doi: 10.1016/j.icarus.2011.08.012
- Koseki M., Ueda M., Shigeno Y. What is the difference between image intensifier and CCD meteors? III. How do meteor showers look like by image intensifiers and by CCD? WGN. 2010;38(5):145–160.
- Buil C. IRIS. Astronomical image processing software. 2010. Available at: http://www.astrosurf.com/buil/us/iris/ iris.htm
- Murtazov A.K., Efimov A.V. Measurements of CCD optical linearity for magnitude determination during meteor observations. Proceedings of International Meteor Conference (Egmond, the Netherlands, June 2–5. 2016). 2016:202–204. Available at: http://adsabs.harvard.edu – publication code 2016pimo.conf
- Andreev A.L., Burdova N.A., Korotaev V.V. Algorithm of spatial and temporal selection of signals in adaptive systems for monitoring mobile objects. Nauchno-tekhnicheskiy vestnik Sankt-Peterburgskogo gosudarstvennogo universiteta informatsionnykh tekhnologiy, mekhaniki i optiki = Scientific and Technical Bulletin of the St. Petersburg State University of Information Technologies, Mechanics and Optics. 2011;(4):13–17. (In Russ.)
- Boldenkov E.N. Obnaruzhenie signala: algoritmy obnaruzheniya, statisticheskie kharakteristiki obnaruzheniya = Signal detection: detection algorithms, statistical characteristics of detection. Moscow: MEI, 2014. (In Russ.)
- Boykova T.V., Grigor'ev A.S., Makolkin D.V. et al. Quality and reliability of low-power power systems. Nadezhnost’ i kachestvo slozhnykh system = Reliability and quality of complex systems. 2023;(3):28–37. (In Russ.)
- Boyarkin D.S., Aseev E.A., Golushko D.A. et al. Protocol of registration of maintenance of pipeline fittings. Nadezhnost’ i kachestvo slozhnykh system = Reliability and quality of complex systems. 2024;(2):95–102. (In Russ.)
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