1 code implementation • 4 Apr 2023 • Duo Xu, Jonathan C. Tan, Chia-Jung Hsu, Ye Zhu
We introduce the state-of-the-art deep learning Denoising Diffusion Probabilistic Model (DDPM) as a method to infer the volume or number density of giant molecular clouds (GMCs) from projected mass surface density maps.
no code implementations • 25 Feb 2021 • Marija R. Jankovic, James E. Owen, Subhanjoy Mohanty, Jonathan C. Tan
Here we present a steady-state model for inner discs accreting viscously, primarily due to the MRI.
Earth and Planetary Astrophysics Solar and Stellar Astrophysics
no code implementations • 14 Oct 2018 • Yuhan Yao, Michael R. Meyer, Kevin R. Covey, Jonathan C. Tan, Nicola Da Rio
In this paper, we address two issues related to primordial disk evolution in three clusters (NGC 1333, IC 348, and Orion A) observed by the INfrared Spectra of Young Nebulous Clusters (IN-SYNC) project.
Solar and Stellar Astrophysics Astrophysics of Galaxies