205 citations · 1.4k across the 57 of their papers we have counts for
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Predicting reliable H 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-CO conversion factor, the so-called factor, which is used to convert the C…
ACA CO() Mapping of the Nearest Spiral Galaxy M33. I. Initial Results and Identification of Molecular Clouds
Kazuyuki Muraoka, Ayu Konishi, Kazuki Tokuda +18
We present the results of ALMA-ACA 7 m-array observations in CO(), CO(), and CO() line emission toward the molecular-gas disk in the Local…
Evidence for a gamma-ray molecular target in the enigmatic PeVatron candidate LHAASO J2108+5157
Eduardo de la Fuente, Ivan Toledano-Juárez, Kazumasa Kawata +11
To determine the nature of the PeVatron's emission (hadronic or leptonic), it is essential to characterize the physical parameters of the environment from where it originates. We u…
Detection of a new molecular cloud in the LHAASO J2108+5157 region supporting a hadronic PeVatron scenario
Eduardo de la Fuente, Iván Toledano-Juárez, Kazumasa Kawata +10
PeVatrons are the most powerful naturally occurring particle accelerators in the Universe. The identification of counterparts associated to astrophysical objects such as dying mass…