Nearby galaxies at FIR/submm wavelengths

Survey Science Group Workshop

2016.12.15.

Jong Chul LeeKorea Astronomy and Space Science Institute (KASI)

Ho Seong HwangKorea Institute for Advanced Study (KIAS)

Introduction

Two modes of star formation (Daddi+10) SF sequence evolution (Karim+11)

Introduction

Gas-rich major merger simulation (Narayanan+10)

• Dust Obscured Galaxies (DOGs):high-z dusty star-forming galaxies,selected with R-[24] > 14 (Dey+08)

• Hot DOGs:most luminous galaxies in the universe,containing AGN (Assef+15)

Search for local analog of DOGsUsing GALEX/SDSS/WISE

→ 47 local (z=0.05~0.08) DOGs with S12/S0.22 > 892

Hwang+13

CSO 350 micron continuum observation

SED fit to derive dust properties

Two-component dust modelcold dust: ambient diffuse interstellar medium

warm dust: embedded stellar birth clouds

assuming modified blackbody functions with emissivity index β=2

dust opacity coefficient kν=0.383 cm2 g-1

Comparison with normal galaxies

The dust mass and temperature of local DOGs are not significantly different (<2σ).

Future work

We suspect that the extreme dust obscuration in DOGs is mainly related with a dust geometry (compact/clumpy) rather than an amount of dust.

To achieve a kpc scale spatial resolution of dust map

• Spitzer 24 micron & Herschel 70 micron archival images for z<0.01 galaxies• ALMA proposal

• MaNGA IFU survey data: ~200 IR-bright galaxies in EDR at z<0.03E(B-V)gas from Hα/Hβ vs. E(B-V)star from SSP modelling

We want to know how DOGs are different with other galaxies in terms of the star formation efficiency, gas-to-dust ratio, and gas fraction by obtaining their CO line data such as our own JCMT observation (16A), large programs JINGLE & MALATANG, and…

JINGLE (Shanghai 16.10.17-18)

JINGLE (Shanghai 16.10.17-18)

JINGLE (Shanghai 16.10.17-18)

MALATANG (Nanjing 16.10.19-21)

HCN & HCO+ (4-3) line observation of 23 nearest, strongest star-forming galaxies

MALATANG (Nanjing 16.10.19-21)

MALATANG (Nanjing 16.10.19-21)

Korean activity for JCMT/MALATANGY. Gao (China), Z. Zhang (UK), T. R. Greve (UK)

한국천문학계의 JCMT JINGLE/MALATANG survey data 활용연구활성화방안은?