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РАЗРАБОТКА ИНСТРУМЕНТА ДЛЯ МАССОВОГО ДЕТЕКТИРОВАНИЕ ПЕРЕМННЫХ ЗВЁЗД

Authors: Zulunov Ravshanbek Mamatovich; Bakhramov Ikhtiyorjon Bakhtiyorjon ugli;

РАЗРАБОТКА ИНСТРУМЕНТА ДЛЯ МАССОВОГО ДЕТЕКТИРОВАНИЕ ПЕРЕМННЫХ ЗВЁЗД

Abstract

{"references": ["Matthew Graham, Andrew Drake, S. G. Djorgovski, Ashish Mahabal and Ciro Donalek \"Challenges in the automated classification of variable stars inlarge databases\" The European Physical Journal Conferences Volume 152, 03001, p-10 (2017)", "Ahmed Essam \"CCD Photometry of Variable Star, Current Challenges and Open Problems\", National Research Institute of Astronomy and Geophysics (2018)", "\u041e\u0444\u0438\u0446\u0438\u0430\u043b\u044c\u043d\u044b\u0439 \u0441\u0430\u0439\u0442 \u043e\u0440\u0433\u0430\u043d\u0438\u0437\u0430\u0446\u0438\u0438 AAVSO: https://www.aavso.org/visionmission", "Pashchenko I.N., Sokolovsky K.V., Gavras P. \"Machine learning search for variable stars\", Monthly Notices of the Royal Astronomical Society, Volume 475, Issue 2, April 2018, Pages 2326\u20132343", "\u0426\u0435\u0441\u0435\u0432\u0438\u0447 \u0412.\u041f \u00ab\u041d\u0435\u0441\u0442\u0430\u0446\u0438\u043e\u043d\u0430\u0440\u043d\u044b\u0435 \u0437\u0432\u0435\u0437\u0434\u044b \u0438 \u043c\u0435\u0442\u043e\u0434\u044b \u0438\u0445 \u0438\u0441\u0441\u043b\u0435\u0434\u043e\u0432\u0430\u043d\u0438\u044f: \u043c\u0435\u0442\u043e\u0434\u044b \u0438\u0441\u0441\u043b\u0435\u0434\u043e\u0432\u0430\u043d\u0438\u044f \u043f\u0435\u0440\u0435\u043c\u0435\u043d\u043d\u044b\u0445 \u0437\u0432\u0451\u0437\u0434\u00bb \u0413\u043b\u0430\u0432\u0430 2, \u0441\u0442\u0440.49 (1971)", "Tsvetkov, D. Y.; Muminov, M.; Burkhanov, O.; Kahharov, B. Photometric Observations of Supernova 2002hh, Peremennye Zvezdy, vol.27, no. 5. (2007)", "Kahharov, B.; Ibrahimov, M.; Sharapov, D.; Pozanenko, A.; Rumyantsev, V.; Beskin, G. \"GRB050416: Maidanak optical observations.\" GRB Coordinates Network, Circular Service, No. 3274, #1 (2005)", "Joseph W. Richards1,2, Dan L. Starr1, Nathaniel R. Butler1, Joshua S. Bloom1, John M. Brewer3, Arien Crellin-Quick1, Justin Higgins1, Rachel Kennedy1, and Maxime Rischard1 \"ON MACHINE-LEARNED CLASSIFICATION OF VARIABLE STARS WITH SPARSE AND NOISY TIME-SERIES DATA\" The Astrophysical Journal, Volume 733, Number 1, Published 2011 April 27", "R. Zulunov. Use of artificial intelligence technologies in the educational process. Web of Scientist: International Scientific Research Journal (WoS), Volume 3, Issue 10, p. 764-770 (2022)", "\u0420. \u0417\u0443\u043b\u0443\u043d\u043e\u0432. \u0427\u0442\u043e \u0442\u0430\u043a\u043e\u0435 \u0438\u0441\u043a\u0443\u0441\u0441\u0442\u0432\u0435\u043d\u043d\u044b\u0439 \u0438\u043d\u0442\u0435\u043b\u043b\u0435\u043a\u0442 \u0438 \u043a\u0430\u043a \u043e\u043d \u0440\u0430\u0431\u043e\u0442\u0430\u0435\u0442. Ta'lim_fidoyilari, 2022 noyabr 1 qism, 149-153 b"]}

Разработано прикладное программное обеспечение для обработки наблюдательных данных и выявления переменных звёзд, путём постройки кривой блеска и периодограммы Ломба-Скаргла, с параллельной сверкой с астрономическиими базами данных, таких как Vizier и VSX. Данные наблюдений переводятся в стандартный формат организации AAVSO для последующей проверки экспертами

Keywords

кривая блеска, переменные звёзды, Американская ассоциация наблюдателей переменных звёзд, прикладное ПО, периодограмма Ломб-Скаргла, PyQT5, Python

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popularity
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