287 citations · 4.5k across the 116 of their papers we have counts for
118 papers
Early Planet Formation in Embedded Disks (eDisk). XXV. Inclination-Induced Minor-Axis Brightness Asymmetries Reveal Limited Dust Settling in Embedded Protostellar Disks
Sidhant Kumar Suar, Zhe-Yu Daniel Lin, Zhi-Yun Li +9
How and when dust settles in young protostellar disks is a key open question for the dust concentration needed to form planetesimals and, ultimately, planets. However, directly mea…
Origins of complex organic molecules in L1551 IRS 5: Interplay of thermal heating and accretion shocks
Ji-hyun Kang, Jeong-Eun Lee, Seokho Lee +1
Complex organic molecules (COMs) are typically observed in the warm inner envelopes of Class 0 protostars. In more evolved Class I sources, COM emission is confined to the compact…
Early Planet Formation in Embedded Disks (eDisk). XXIV: Systematic Investigation of Disk Structures based on Visibility Analysis
Mayank Narang, Jerry Xu, Leslie W. Looney +11
The dust continuum emission from young protostellar disks encodes key information about their mass distribution and early evolution, yet uniform high-resolution comparative studies…
Early Planet Formation in Embedded Disks (eDisk). XVIII. Indication of a possible spiral structure in the dust-continuum emission of the protostellar disk around IRAS 16544-1604 in CB 68
Sanemichi Z. Takahashi, Shigehisa Takakuwa, Ryosuke Nakanishi +11
We performed numerical simulations along with radiative transfer calculations to reproduce an intriguing asymmetric shoulder feature in the dust-continuum emission of the protostel…
Nonthermal Velocity Dispersion in the Outer Disk of HL Tau
Jinshi Sai, Shigehisa Takakuwa, Hsi-Wei Yen +2
Turbulence in protoplanetary disks plays a crucial role in the evolution of disk structures and the planet formation process therein. However, the strength of the turbulence remain…
Predicting dust temperature from molecular line data using machine learning
Tenta Dougome, Yoshito Shimajiri, Kazuya Saigo +4
We conducted experiments with machine learning techniques to construct dust temperature maps from the CO isotopologue molecular line data in the Orion A molecular cloud. In the cla…