http://arxiv.org/abs/1705.09005
We have developed a semi-analytic framework to model the large-scale evolution of the first Population III (Pop III) stars and the transition to Population II (Pop II) star formation. Our model follows dark matter halos from cosmological N-body simulations, utilizing their individual merger histories and three-dimensional positions, and applies physically motivated prescriptions for star formation and feedback from Lyman-Werner (LW) radiation, hydrogen ionizing radiation, and external metal enrichment due to supernovae winds. This method is intended to compliment analytic studies, which do not include clustering or individual merger histories, and hydrodynamical cosmological simulations, which include detailed physics, but are computationally expensive and have limited dynamic range. Utilizing this technique, we compute the cumulative Pop III and Pop II star formation rate density (SFRD) as a function of redshift at $z \geq 20$. We find that varying the model parameters leads to significant qualitative changes in the global star formation history. The Pop III star formation efficiency and the delay time between Pop III and subsequent Pop II star formation are found to have the largest impact. The effect of clustering (i.e. including the three-dimensional positions of individual halos) on various feedback mechanisms is also investigated. The impact of clustering when including only LW and ionization feedback is found to be relatively mild, but is larger if external metal enrichment can promote Pop II star formation over large distances.
E. Visbal, Z. Haiman and G. Bryan
Fri, 26 May 17
-28/63
Comments: 10 pages, 5 figures, submitted to MNRAS