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arXiv 2602.18754astro-ph.SRastro-ph.IM
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使用MASTER机器人网络探索变星红巨星:主要算法及三个Mira型目标的研究

Variable Red Giants Exploration with MASTER Robotic Net: Main Algorithms and Study of Three Mira-type Targets

Lomonosov Moscow State University(莫斯科国立大学)

Alexander N. Tarasenkov, Vladimir M. Lipunov, Artem S. Kuznetsov, Gleb A. Antipov, Pavel V. Balanutsa, Nataly V. Tyurina, Yakov Yu. Kechin

AI总结:

本文探讨MASTER机器人望远镜网络研究变红巨星的能力,报告了三个与长周期变红巨星相关的光学暂现源的发现及历史光变曲线,通过光谱验证确认了其中一颗碳星的平均亮度增长但恒定脉动周期,推测可能存在长周期二次星。

摘要:

我们讨论MASTER机器人望远镜网络研究变红巨星的能力。我们报告了三个与长周期变红巨星相关的光学暂现源的发现,并基于MASTER机器人网络全天候巡天观测和存档的MASTER光变曲线,在Lomonosov数据库存储中呈现了这些暂现源的检测帧和光变曲线。我们证明了三个Mira型变量:MASTER OT J083717.54-573411.1、MASTER OT J190436.33+192828.7和MASTER OT J07010810-6818548的暂现检测帧和光变曲线。光谱学验证的碳星MASTER OT J07010810-6818548显示平均亮度增长但恒定脉动周期,这可能表明存在长周期二次星。作为MASTER宽视场图像分析在Lomonosov超级计算机数据存储中的结果,我们为所有三个对象提供了8年历史光变曲线,并为所有三个Mira型变量计算了周期。我们估算了所有三个Mira型变量的基本天体物理参数:光度、半径和零年龄主序(ZAMS)质量。

英文摘要:

We are discussing the capabilities of MASTER network of robotic telescopes to study variable red giant stars. We report the discovery and present archival light curves for three optical transients, connected with long period variable red giants, based on MASTER Robotic Net all-sky survey observations and archival MASTER light curves at Lomonosov database storage. We demonstrate transient detection frames and light curves for three Mira-type variables: MASTER OT $J083717.54-573411.1$, MASTER OT $J190436.33+192828.7$ and MASTER OT $J07010810-6818548$. Spectroscopically validated carbon star MASTER OT $J07010810-6818548$ shows mean magnitude growth but constant pulsation period which may indicate the presence of a long secondary period. As the result of MASTER wide-field images analysis at Lomonosov supercomputer data storage we present the 8-years historical light curves for all three objects with period calculations for all three Mira-type variables. We estimated fundamental astrophysical parameters for all three Mira-type variables: luminosities, radii, and zero age main sequence (ZAMS) masses.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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