154 citations
- The University of TokyoJP49 papers
- Tokyo Metropolitan UniversityJP31 papers
- National Astronomical Observatory of JapanJP28 papers
- Nagoya UniversityJP22 papers
- Kyoto UniversityJP21 papers
- Nihon UniversityJP19 papers
- The University of OsakaJP19 papers
- High Energy Accelerator Research OrganizationJP15 papers
- Goddard Space Flight CenterUS14 papers
- The Graduate University for Advanced Studies, SOKENDAIJP14 papers
- University of Maryland, College ParkUS14 papers
- Kyushu UniversityJP13 papers
16 papers · 1 filter
ALMA Band 9 CO(6--5) Reveals a Warm Ring Structure Associated with the Embedded Protostar in the Cold Dense Core MC 27/L1521F
Kazuki Tokuda, Mitsuki Omura, Naoto Harada +9
Infall and outflows, coupled with magnetic fields, rapidly structure the gas around newborn protostars. Shocks from interacting components encode the temperature and density distri…
Searching for EeV photons with Telescope Array Surface Detector and neural networks
Telescope Array Collaboration, R. U. Abbasi, T. Abu-Zayyad +126
Ultra-high-energy photons play an important role in probing astrophysical models and beyond-Standard-Model scenarios. We report updated limits on the diffuse photon flux using Tele…
The LMT 2 millimeter receiver system (B4R). II. Science demonstration observations toward Orion-KL/OMC-1
Teppei Yonetsu, Ryohei Kawabe, Yuki Yoshimura +26
We present the results of mapping and single-point spectral scans toward Orion-KL/OMC-1 performed as science demonstrations of a 2 mm SIS receiver, the Band 4 Receiver (B4R), insta…
CO Multi-line Imaging of Nearby Galaxies (COMING). XI. Azimuthally averaged star formation rate and stellar mass relation with molecular gas amount
Ayumi Kajikawa, Kazuo Sorai, Kana Morokuma-Matsui +13
This study investigated the relation between the surface density of star formation rate (SFR) (), stellar mass (), and molecular gas mass ($Σ_{M_\ma…
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…
ACA CO(J=2-1) Mapping of the Nearest Spiral Galaxy M33. II. Exploring the Evolution of Giant Molecular Clouds
Ayu Konishi, Kazuyuki Muraoka, Kazuki Tokuda +12
The evolution of giant molecular clouds (GMCs), the main sites of high-mass star formation, is an essential process to unravel the galaxy evolution. Using a GMC catalogue of M33 fr…