7 citations · 28 across the 16 of their papers we have counts for
16 papers
ALMA Observations of DEM L241/LMC P3 in the Large Magellanic Cloud: Evidence for the Formation of Cool Molecular Jets Driven by a Microquasar
Yasuo Fukui, Bhuvana G. R., Hidetoshi Sano +17
We present ALMA observations of DEML 241/LMC P3, the most luminous -ray binary consisting of a compact object and an O star, in CO emission. We have found an one-sided jet-like…
Observations of DNC and DCO toward the -shaped Filament and Starless Cores in the Orion Molecular Clouds
Ken'ichi Tatematsu, Atsushi Nishimura, Hideo Ogawa +25
Although the deuterium fraction is known to be a powerful evolutionary tracer, its variation within individual molecular cloud cores is still poorly understood. The northern …
A multi-scale molecular and atomic gas view on the HII region N113 in the Large Magellanic Cloud:Evidence for high-mass star formation triggered by supersonically-colliding HI flows
Rin I. Yamada, Kazuki Tokuda, Yasuo Fukui +15
The Large Magellanic Cloud (LMC) exhibits vigorous high-mass star formation, including the HII regions 30~Dor that is the most active site of star formation in the local group. The…
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…
Extended and Compact Ortho-HD Structures Close to the Moment of Star-Formation: Evidence from ALMA-ACA Observations in Taurus
Kazuki Tokuda, Kenji Furuya, Naofumi Fukaya +8
Observing and characterizing pre- and protostellar cores in the earliest and densest stages of star formation is challenging due to their short timescales and high densities, limit…
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…