Radiative transfer and the energy equation in SPH simulations of star formation

Dimitris Stamatellos, A. P. Whitworth, Thomas G. Bisbas, S. P. Goodwin

White Rose Research Online (University of Leeds, The University of Sheffield, University of York) · 2007 · 113 citations · 47 references

Concepts

Abstract

Aims. We introduce and test a new and highly e
\nfficient method for treating the thermal and radiative e
\nffects influencing the energy equation in
\nSPH simulations of star formation.
\nMethods. The method uses the density, temperature and gravitational potential of each particle to estimate a mean optical depth, which
\nthen regulates the particle’s heating and cooling. The method captures – at minimal computational cost – the e
\nffects of (i) the rotational and
\nvibrational degrees of freedom of H
\n2; (ii) H
\n2
\ndissociation and H
\no
\nionisation; (iii) opacity changes due to ice mantle melting, sublimation of
\ndust, molecular lines, H
\n−
\n, bound-free and free-free processes and electron scattering; (iv) external irradiation; and (v) thermal inertia.
\nResults. We use the new method to simulate the collapse of a 1 M
\n⊙ cloud of initially uniform density and temperature. At first, the collapse
\nproceeds almost isothermally (
\nT
\n∝
\nρ
\n0
\n.08; cf. Larson 2005). The cloud starts heating fast when the optical depth to the cloud centre reaches
\nunity (ρ
\nC
\n∼
\n7
\n× 10
\n−13 g cm
\n−
\n3
\n). The first core forms at
\nρ
\nC
\n∼
\n4
\n× 10
\n−
\n9 g cm
\n−
\n3
\nand steadily increases in mass. When the temperature at the
\ncentre reaches
\nTC
\n∼ 2000 K, molecular hydrogen starts to dissociate and the second collapse begins, leading to the formation of the second
\n(protostellar) core. The results mimic closely the detailed calculations of Masunaga & Inutsuka (2000). We also simulate (i) the collapse
\nof a 1
\n.2 M
\n⊙ cloud, which initially has uniform density and temperature, (ii) the collapse of a 1
\n.2 M
\n⊙ rotating cloud, with an
\nm
\n= 2 density
\nperturbation and uniform initial temperature, and (iii) the smoothing of temperature fluctuations in a static, uniform density sphere. In all these
\ntests the new algorithm reproduces the results of previous authors and/or known analytic solutions. The computational cost is comparable to
\na standard SPH simulation with a simple barotropic equation of state. The method is easy to implement, can be applied to both particle- and
\ngrid-based codes, and handles optical depths 0 < τ
\n<∼ 1011
\n.

References

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