Poster Presentation

Multi-wavelength Analysis of Dust Emissions from Dense Cores

Nannan Yue (NAOC), Di Li (NAOC)

Continuum emissions from dust grains are used as a general probe to constrain the initial physical conditions in molecular dense cores at the onset of star forming. To get more information from dust emissions, we have developed a tool, named as COREFIT, which is capable of identifying positions of dense cores, optimizing a three-dimensional model for the dense cores with well characterized uncertainties. COREFIT also provides estimates of cores’ physical properties, such as density, temperature, and dust emissivity, through analyzing multi-wavelength dust continuum data sets. We carry out several numerical tests on COREFIT using simulated data with known dust density distribution and temperature structure. We conclude that the procedure works consistently. We also demonstrate COREFIT by adding random gaussian noises with Monte Carlo methods and show that the results are stable against varying observational noise intensity within certain levels. After checking the algorithm’s effectiveness, we use it to provide predictions for ALMA dust continuum emission maps from dense cores and show to what extent ALMA can distinguish the temperature variations in cores and different collapse models. Different bands and telescope configurations are considered in the calculation.