Collapsing molecular clouds with tracer particles – I. What collapses?
Collapsing molecular clouds with tracer particles – I. What collapses?
复制标题
带有示踪粒子的塌缩分子云 — I. 什么塌缩?
DOI:
10.1093/mnras/stac2834
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发表时间:
2022
影响因子:
4.8
通讯作者:
Jimenez Vela, Luz L.
中科院分区:
文献类型:
--
作者:
Collins, David C.;Le, Dan;Jimenez Vela, Luz L.
To understand the formation of stars from clouds of molecular gas, one essentially needs to know two things: what gas collapses, and how long it takes to do so. We address these questions by embedding pseudo-Lagrangian tracer particles in three simulations of self-gravitating turbulence. We identify prestellar cores at the end of the collapse, and use the tracer particles to rewind the simulations to identify the preimage gas for each core at the beginning of each simulation. This is the first of a series of papers, wherein we present the technique and examine the first question: What gas collapses? For the preimage gas att= 0, we examine a number of quantities – the probability distribution function (PDF) for several quantities, the structure function for velocity, several length scales, the volume filling fraction, the overlap between different preimages, and fractal dimension of the preimage gas. Analytical descriptions are found for the PDFs of density and velocity for the preimage gas. We find that the preimage of a core is large and sparse, and we show that gas for one core comes from many turbulent density fluctuations and a few velocity fluctuations. We find that binary systems have preimages that overlap in a fractal manner. Finally, we use the density distribution to derive a novel prediction of the star formation rate.