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arXiv 1709.01732astro-ph.EP
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在谜星KIC 8462852的光变曲线中检测到重复的transit特征:928天的周期?

Detection of a repeated transit signature in the light curve of the enigma star KIC 8462852: a 928-day period?

Flavien Kiefer, Alain Lecavelier des Etangs, Alfred Vidal-Madjar, Guillaume Hébrard, Vincent Bourrier, Paul-Anthony Wilson

摘要:

正如其奇特的开普勒光变曲线所揭示的那样,神秘的恒星KIC 8462852在先验的不相关时期经历了短暂而深刻的通量变暗。尽管如此,它仍然呈现出一颗安静的1 Gyr老F3 V恒星的所有其他特征。这些暗淡类似于预期的尘埃彗星尾巴过境的吸收功能。因此,外彗星的设想是最普遍的主张。我们重新分析了开普勒数据,并提取了一个新的高质量的光变曲线,以允许搜索单个或几个系外彗星的浅签名。我们发现,在我们确定的22个通量变暗事件中,有两个事件具有惊人的相似性。这些事件发生的间隔为928.25天,持续了4.4天,恒星亮度下降了1000 ppm。我们表明,这些事件的光变曲线很好地解释了由一个巨大的环系统的恒星掩星,或一个字符串的半打外彗星的过境与典型的尘埃产生率为10 $^5$ -10 $^6$ kg/s。假设这两个类似的事件与同一个物体的凌日有关,我们得出一个928.25天的周期。接下来的凌日预计在2017年3月,但恶劣的天气阻止了我们从地面光谱学中检测到它。我们预测下一次事件将发生在2019年10月3日至8日。

英文摘要:

As revealed by its peculiar Kepler light curve, the enigmatic star KIC 8462852 undergoes short and deep flux dimmings at a priori unrelated epochs. It presents nonetheless all other characteristics of a quiet 1 Gyr old F3V star. These dimmings resemble the absorption features expected for the transit of dust cometary tails. The exocomet scenario is therefore most commonly advocated. We reanalyzed the Kepler data and extracted a new high-quality light curve to allow for the search of shallow signature of single or a few exocomets. We discovered that among the 22 flux dimming events that we identified, two events present a striking similarity. These events occurred 928.25 days apart, lasted for 4.4 days with a drop of the star brightness by 1000 ppm. We show that the light curve of these events is well explained by the occultation of the star by a giant ring system, or the transit of a string of half a dozen of exocomets with a typical dust production rate of 10$^5$-10$^6$ kg/s. Assuming that these two similar events are related to the transit of the same object, we derive a period of 928.25 days. The following transit was expected in March 2017 but bad weather prohibited us to detect it from ground-based spectroscopy. We predict that the next event will occur from the 3rd to the 8th of October 2019.

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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