CARPP recovers seven core parameters from multi-band dust continuum via layered radiative transfer, achieving <20% average relative error under a stated noise-resolution criterion and classifying TMC-1C as near-critical Bonnor-Ebert and Ori2-2 as power-law collapsing.
Tracing the Mass during Low-Mass Star Formation. II. Modelling the Submillimeter Emission from Pre-Protostellar Cores
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abstract
We have modeled the emission from dust in pre-protostellar cores, including a self-consistent calculation of the temperature distribution for each input density distribution. Model density distributions include Bonnor-Ebert spheres and power laws. The Bonnor-Ebert spheres fit the data well for all three cores we have modeled. The dust temperatures decline to very low values ($\Td \sim 7$ K) in the centers of these cores, strongly affecting the dust emission. Compared to earlier models that assume constant dust temperatures, our models indicate higher central densities and smaller regions of relatively constant density. Indeed, for L1544, a power-law density distribution, similar to that of a singular, isothermal sphere, cannot be ruled out. For the three sources modeled herein, there seems to be a sequence of increasing central condensation, from L1512 to L1689B to L1544. The two denser cores, L1689B and L1544, have spectroscopic evidence for contraction, suggesting an evolutionary sequence for pre-protostellar cores.
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CARPP: Parametric Radiative-Transfer Fitting of Molecular Cores from Dust Continuum Data
CARPP recovers seven core parameters from multi-band dust continuum via layered radiative transfer, achieving <20% average relative error under a stated noise-resolution criterion and classifying TMC-1C as near-critical Bonnor-Ebert and Ori2-2 as power-law collapsing.