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arXiv 2005.10371astro-ph.SRastro-ph.GA
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FUor天体的毫米波变率研究

A Study of Millimeter Variability in FUor Objects

John Wendeborn, Catherine C. Espaillat, Enrique Macias, Orsolya Feher, A. Kospal, Lee Hartmann, Zhaohuan Zhu, Michael M. Dunham, Marina Kounkel

摘要:

猎户座FU天体(FUors)是快速增生的主序前天体,已知在光学和近红外波长处表现出大爆发,爆发后的小尺度光度变化叠加在长期趋势上。相比之下,很少有人知道在较长的波长的FUOR的可变性。为了进一步探索这一点,我们观察了六个FUor对象使用NOEMA扩展毫米波阵列(NOEMA)和一个子集的三个对象,我们获得了协调观测NOEMA和洛厄尔发现望远镜(LDT)。结合2014年之前发表的NOEMA观测结果,我们在2017年对V1735 Cyg的观测首次检测到了2.7 mm处的FUor天体的变化。在没有显著光学变化的情况下,我们不认为mm通量密度由于中心圆盘的照射而发生变化的可能性。此外,由于下落而引起的尘埃质量变化是极不可能的。对2.7毫米通量密度变化的一个合理解释是,由于物体喷流/风的变化,自由-自由发射的变化。因此,在某些FUor天体中,自由-自由发射在$\sim$ 3 mm处可能是显著的,并且在推导盘质量时必须加以考虑,以帮助限制触发FUor爆发的机制。

英文摘要:

FU Orionis objects (FUors) are rapidly-accreting, pre-main sequence objects that are known to exhibit large outbursts at optical and near-infrared wavelengths, with post-eruption, small-scale photometric variability superimposed on longer-term trends. In contrast, little is known about the variability of FUors at longer wavelengths. To explore this further, we observed six FUor objects using the NOrthern Extended Millimeter Array (NOEMA) and for a subset of three objects we obtained coordinated observations with NOEMA and the Lowell Discovery Telescope (LDT). In combination with previously published NOEMA observations from 2014, our 2017 observations of V1735 Cyg provide the first detection of variability in an FUor object at 2.7 mm. In the absence of significant optical variability, we discount the possibility that the mm flux density changed as a result of irradiation from the central disk. In addition, a change in the dust mass due to infall is highly unlikely. A plausible explanation for the change in 2.7 mm flux density is variability in free-free emission due to changes in the object's jet/wind. Thus, it may be that free-free emission in some FUor objects is significant at $\sim$3 mm and must be considered when deriving disk masses in order to help constrain the mechanism responsible for triggering FUor outbursts.

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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