arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2007.06870astro-ph.EPastro-ph.GAastro-ph.IMastro-ph.SR
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KMT-2019-BLG-2073:第四颗自由浮动行星候选行星,带有$θ_\rm E < 10 \rmμas$

KMT-2019-BLG-2073: Fourth Free-Floating-Planet Candidate with $θ_\rm E < 10 \rmμas$

Hyoun-Woo Kim, Kyu-Ha Hwang, Andrew Gould, Jennifer C. Yee, Yoon-Hyun Ryu, Michael D. Albrow, Sun-Ju Chung, Cheongho Han, Youn Kil Jung, Chung-Uk Lee, In-Gu Shi… 展开作者

Hyoun-Woo Kim, Kyu-Ha Hwang, Andrew Gould, Jennifer C. Yee, Yoon-Hyun Ryu, Michael D. Albrow, Sun-Ju Chung, Cheongho Han, Youn Kil Jung, Chung-Uk Lee, In-Gu Shin, Yossi Shvartzvald, Weicheng Zang, Sang-Mok Cha, Dong-Jin Kim, Seung-Lee Kim, Dong-Joo Lee, Yongseok Lee, Byeong-Gon Park, Richard W. Pogge

摘要:

我们分析了非常短的爱因斯坦时间尺度($t_\rm E \simeq 7\,{\rm hr}$)事件KMT-2019-BLG-2073。利用团巨星源产生的明显的有限源效应,我们测量了爱因斯坦半径$θ_\rm E \simeq 4.8\,\rm μas$,从而推断出质量$M = 59\,M_\oplus (π_\rm{rel}/16 \,\rm μas)^{-1}$,其中$π_\rm{rel}$是透镜-源的相对视差。我们没有发现大量这种行星质量物体的重要证据,尽管可能存在足够宽的分离。如果是这样的话,大约10年后就可以检测到。这是第四个孤立的微透镜与测量爱因斯坦半径$θ_\rm{E}<10\,\rm μas$,我们认为这是一个有用的阈值“可能自由浮动的行星(FFP)”的候选人。我们概述了一种新的方法来构建一个同质样本的巨星有限源/点透镜(FSPL)的事件,其中的子样本的FFP候选人可以进行统计分析。我们使用2019年KMTNet数据说明了这种方法,并表明两个FFP候选事件和其他11个FSPL事件之间存在很大的$θ_\rm{E}$差距。我们认为,这种尖锐的功能是更可识别的样本选择$θ_\rm{E}$相比,传统的方法,确定候选人的基础上短$t_\rm{E}$。

英文摘要:

We analyze the very short Einstein timescale ($t_\rm E \simeq 7\,{\rm hr}$) event KMT-2019-BLG-2073. Making use of the pronounced finite-source effects generated by the clump-giant source, we measure the Einstein radius $θ_\rm E \simeq 4.8\,\rm μas$, and so infer a mass $M = 59\,M_\oplus (π_\rm{rel}/16 \,\rm μas)^{-1}$, where $π_\rm{rel}$ is the lens-source relative parallax. We find no significant evidence for a host of this planetary mass object, though one could be present at sufficiently wide separation. If so, it would be detectable after about 10 years. This is the fourth isolated microlens with a measured Einstein radius $θ_\rm{E}<10\,\rm μas$, which we argue is a useful threshold for a "likely free-floating planet (FFP)" candidate. We outline a new approach to constructing a homogeneous sample of giant-star finite-source/point-lens (FSPL) events, within which the subsample of FFP candidates can be statistically analyzed. We illustrate this approach using 2019 KMTNet data and show that there is a large $θ_\rm{E}$ gap between the two FFP candidates and the 11 other FSPL events. We argue that such sharp features are more identifiable in a sample selected on $θ_\rm{E}$ compared to the traditional approach of identifying candidates based on short $t_\rm{E}$.

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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