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清华大学材料科学与工程研究院《材料科学论坛》:近红外二区磷光成像
清华大学材料科学与工程研究院《材料科学论坛》:四方Sr4Al2O7:一种用于制备高质量...
Massive Particles at Spatial Infinity
An update on holography of information (Review)
报告题目:
天文系Colloquium:Protoplanetary Disk Structure and Young Planet Population
 报告人:
Prof. Zhaohuan Zhu (UNLV)
报告时间:
2020-12-10 09:00
报告地点:
线下:蒙民伟科技大楼南楼S727 / 线上:Zoom ID: 992 9825 3357 PW: 202012
主办单位:
天文系
  简介:

Recent ground based observations at various wavelengths reveal a variety of protoplanetary disk structures. These disk structures may help us to constrain the planet formation process. We apply the planet-disk interaction theory to substructures in the ALMA DSHARP sample to reveal the potential young planet population. We find that the occurrence rate for >5 M J planets beyond 5-10 au is consistent with direct imaging constraints. Disk substructures allow us to probe a wide-orbit planet population (Neptune to Jupiter mass planets beyond 10 au) that is not accessible to other planet searching techniques. On the other hand, ALMA surveys have suggested that the dust in Class II disks may not be enough to explain the averaged solid mass in exoplanets, under the assumption that the mm disk continuum emission is optically thin. This optically thin assumption seems to be supported by DSHARP observations where the measured optical depths are mostly less than one. However, we point out that dust scattering can considerably reduce the emission from an optically thick region. This optically thick disk scenario can solve several puzzles in protoplanetary disk observations and can provide enough dust to form exoplanets.

BIO
Prof. Zhaohuan Zhu got his B.S. from Peking University at 2005, completed his PhD in 2011 at the University of Michigan. Then he moved to Princeton as a Postdoctoral researcher and a Hubble Fellow. He joined UNLV as an assistant professor at 2016 and became an associate professor at 2020. His research interests are: Astrophysical Fluid Dynamics, Protoplanetary Disks, Star and Planet Formation, Disk Instabilities, Planet Detection, Planet Statistics. He received several awards including Sloan Research Fellowship and NSF Early Career Award.

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