“School of Astronomy”

Back to Papers Home
Back to Papers of School of Astronomy

Paper   IPM / Astronomy / 17943
School of Astronomy
  Title:   Molecular cloud matching in CO and dust in M33-I. High-resolution hydrogen column density maps from Herschel
  Author(s): 
1.  Eduard . Keilmann
2.  Christof . Buchbender
3.  Volker. Ossenkopf-Okada
4.  Nicola. Schneider
5.  Slawa . Kabanovic
6.  Jurgen . Stutzki
7.  Robert . Simon
8.  Dominik. Riechers
9.  Fatemeh . Tabatabaei
10.  Frank. Bigiel
  Status:   Published
  Journal: Astronomy & Astrophysics
  Vol.:  688
  Year:  2024
  Pages:   A171
  Publisher(s):   EDP Sciences
  Supported by:  IPM
  Abstract:
This study is aimed to contribute to a more comprehensive understanding of the molecular hydrogen distribution in the galaxy M33 by introducing novel methods for generating high angular resolution (18.2 �?�¢?�?�²�?�¢?�?�², equivalent to 75 pc for a distance of 847 kpc) column density maps of molecular hydrogen (NH2 ). M33 is a local group galaxy that has been observed with Herschel in the far-infrared (FIR) wavelength range from 70 to 500 �??�?�µm. Previous studies have presented total hydrogen column density maps (NH), using these FIR data (partly combined with mid-IR maps), employing various methods. We first performed a spectral energy distribution (SED) fit to the 160, 250, 350, and 500 �??�?�µm continuum data obtain NH, using a technique similar to one previously reported in the literature. We also use a second method which involves translating only the 250 �??�?�µm map into a NH map at the same angular resolution of 18.2 �?�¢?�?�²�?�¢?�?�². An NH2 map via each method is then obtained by subtracting the H I component. Distinguishing our study from previous ones, we adopt a more versatile approach by considering a variable emissivity index, �??�?�², and dust absorption coefficient, �??�?�º0. This choice enables us to construct a �??�?�º0 map, thereby enhancing the depth and accuracy of our investigation of the hydrogen column density. We address the inherent biases and challenges within both methods (which give similar results) and compare them with existing maps available in the literature. Moreover, we calculate a map of the carbon monoxide CO(1 �?�¢?? 0)-to-molecular hydrogen (H2) conversion factor (XCO factor), which shows a strong dispersion around an average value of 1.8�???1020 cm�?�¢??2 /(K km s�?�¢??1 ) throughout the disk. We obtain column density probability distribution functions (N-PDFs) from the NH, NH2 , and NH I maps and discuss their shape, consisting of several log-normal and power-law tail components.

Download TeX format
back to top
scroll left or right