Shimpei Nishimoto

most citedInfrared bubble recognition in the Milky Way and beyond using deep learning

4 citations · 4 across the 2 of their papers we have counts for

collaborators

2 papers

astro-ph.GA2025★ 4 cited

Infrared bubble recognition in the Milky Way and beyond using deep learning

Shimpei Nishimoto, Toshikazu Onishi, Atsushi Nishimura +9

We propose a deep learning model that can detect Spitzer bubbles accurately using two-wavelength near-infrared data acquired by the Spitzer Space Telescope and JWST. The model is b…

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…

Infrared bubble recognition in the Milky Way and beyond using deep learning

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

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