Астрономический институт имени Улугбека

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Узбекистан,100052, г.Ташкент
Астрономическая 33
Тел: +998 71 235-81-02
Факс: +998 71 234-48-67
E-mail: info@astrin.uz

Сотрудники

Таджимуратов Пулат Садуллаевич
Младший научный сотрудник АИ АН РУз, Аспирант
Научный отдел: Отдел теоретической астрофизики
Образование: НУУз им. Мирзо Улугбека, 2012, Физик (теоретик)
Год рождения: 1989

Область и направления исследований

GPS-метеорология

ОТО

Численное моделирование астрофизических процессов

Публикации

//Physical Sciences and Technology, Vol 4 No 1 (2017), 15-19

«SN2017ein: bolometric light curve and physical parameters»
P.S. Tadjimuratov, D. Mirzakulov
(Абстракт ...) Apparent stellar magnitudes observed at Maidanak observatory for SN2017ein – peculiarly faint core-collapse supernova rumored to have images of progenitor – are processed to get exact photometric data. Technique of photometry is described and the data itself is presented. Based on photometric data of B and R bands we used the regressional equation proposed by Lyman and Bersier to reconstruct the quasi-bolometric light curve. Reconstructed light curve has a peak luminosity of ∼ 3.3 ⋅ 10^41 erg/s which is almost an order of magnitude lower than typical values for such supernovae. Further, we used reconstructed bolometric values to estimate physical parameters using simple one-component models for photospheric and nebular phases. Fitting the models to reconstructed quasi-bolometric light curve allows us to estimate physical parameters. Such estimation yields 0.037M⊙ for nickel-56 mass, 1.246M⊙ for ejected mass and 1.641 · 10^51 erg for final kinetic energy of ejecta. Ejecta mass looks very small for proposed progenitor candidate, but some explanations for such discrepancy are already proposed.

//Suffa2018, Международное совещание «Современное состояние и перспективы радиообсерватории на плато Суффа в Узбекистане», г. Ташкент, 27-29 августа 2018 г.

«Statistical analysis of GPS-derived PWV and comparison to GPM data»
P.S. Tadjimuratov

//Proceedings of the international conference devoted to the 90th anniversary of Samarkand state university

«Modeling precipitable water vapor using machine learning technique»
Abdikamalov A.B., Tadjimuratov P.S.

Астрономический институт имени Улугбека,