Subgrid-scale modeling of turbulence regulated star formation in simulations of galaxy evolution

利用我们小组目前开发的FEFERS程序的独特功能，我们打算将Kramholz和McKee(2005)最近提出的湍流调节恒星形成理论作为星系模拟中的亚格子尺度(SGS)模型来实现。Fearless将未解决湍流的SGS建模与宇宙流体程序ENZO中的自适应网格加密(AMR)相结合。它提供了未分解的湍流动能的局部测量，如果恒星形成发生在维里化的超音速湍流气云中，则需要该动能来计算局部恒星形成率。我们建议使用我们自己的超音速湍流模拟的数据来重新校准Kramholz-McKee模型，然后使用校准后的算法作为恒星形成SGS模型来模拟盘状星系。这些结果将与使用恒星形成率的唯象参数的旧的模拟进行比较。

Taking advantage of the unique capabilities of the FEARLESS code currently developed in our group, we intend to implement a theory for turbulence regulated star formation recently proposed by Krumholz and McKee (2005) as a subgrid-scale (SGS) model in galaxy simulations. FEARLESS combines SGS modeling of unresolved turbulence with adaptive mesh refinement (AMR) in the cosmological hydrocode ENZO. It provides a local measure for the kinetic energy of unresolved turbulence which is required to calculate the local star formation rate if star formation occurs in virialized, supersonically turbulent gas clouds. We propose to recalibrate the Krumholz-McKee model using data from our own simulations of supersonic turbulence, followed by simulations of a disk galaxy using the calibrated algorithm as a star formation SGS model. These results will be compared with older simulations using phenomenological parameterizations of the star formation rate.