Poster Presentation

Physically-identified molecular cloud structures in local galaxies

Author(s): Tomoka Tosaki (Joetsu U. of Edu.), Kunihiko Tanaka (Keio U.), Fumi Egusa（U. of Tokyo), Shuro Takano (Nihon U.), Taku Nakajima (Nagoya U.), Kotaro Kohno (U. of Tokyo), Nanase Harada (ASIAA), Yoichi Tamura (Nagoya U.), Akio Taniguchi (Nagoya U.)

Presenter: Tomoka Tosaki (Joetsu University of Education)

We will offer a new pathway to best-exploit the richness of ALMA data by creating a catalog of clouds identified based on physical quantities and chemical abundance (not the intensity of a single emission line). We use the Hierarchical Bayesian (HB) inference (Tanaka et al. 2018) to derive quantities such as density, temperature, and molecular abundance in local galaxies with rich molecular data and create three-dimensional cubes of these physical and chemical quantities. We applied “clumpfind” to the 3D volume density and temperature cube of nearby active galaxy NGC 1068 and identified “physically-motivated clouds” by picking up local volume density and temperature peaks. The positions of the identified gas-density peaks do not necessarily coincide with the positions of “clouds” identified using 13CO(1-0) intensity.