Ryuki Yoneda

most citedDistance determination of molecular clouds in the 1st quadrant of the Galactic plane using deep learning : I. Method and Results

11 citations · 11 across the 2 of their papers we have counts for

collaborators

2 papers

astro-ph.GA2023

Predicting reliable H $_{2}$ column density maps from molecular line data using machine learning

Yoshito Shimajiri, Yasutomo Kawanishi, Shinji Fujita +13

The total mass estimate of molecular clouds suffers from the uncertainty in the H $_{2}$ -CO conversion factor, the so-called $X_{CO}$ factor, which is used to convert the $^{12}$ C…

astro-ph.GA2022★ 11 cited

Distance determination of molecular clouds in the 1st quadrant of the Galactic plane using deep learning : I. Method and Results

Shinji Fujita, A. M. Ito, Yusuke Miyamoto +15

Machine learning has been successfully applied in varied field but whether it is a viable tool for determining the distance to molecular clouds in the Galaxy is an open question. I…

Predicting reliable H2​ column density maps from molecular line data using machine learning

Distance determination of molecular clouds in the 1st quadrant of the Galactic plane using deep learning : I. Method and Results

Predicting reliable H $_{2}$ column density maps from molecular line data using machine learning