利用PrestaLine：Gorynych追踪分子核心的动力学、化学和光谱演化
Tracking the dynamical, chemical and spectral evolution of molecular cores with PrestaLine: Gorynych
AI总结：
PrestaLine：Gorynych通过整合流体动力学、化学演化和辐射传输模块，研究分子核心从预星到原恒星阶段的动力学、化学和光谱演化。
摘要：
我们介绍了PrestaLine：Gorynych，一种全面的数值工具，用于建模从预星阶段到原恒星吸积过程的分子核心的动力学、化学和光谱演化。该代码集成了三个关键模块：（1）Kamelung，一个一维流体动力学模块，模拟引力坍缩直到首次流体静力学核心（FHSC）形成，随后是环境物质向年轻恒星的吸积；（2）Presta，一个化学演化模块，利用密度和温度剖面进行后处理以计算时间依赖的分子丰度；（3）Uran(IA)，一个辐射传输模块，生成合成的分子线光谱。我们应用Gorynych比较低质量（5个太阳质量）和高质量（50个太阳质量）的核心，发现它们的动力学演化非常相似，差异主要体现在空间尺度上。化学演化揭示了在FHSC转变期间分子丰度的急剧变化，特别是CO、H2O和HCO+，尽管在坍缩前的化学初始化对大多数物种影响较小。13CO(2-1)、HCO+(3-2)和H2O(110--101)线的光谱图显示了内塌和耗尽的明显运动学特征，高质量核心表现出空间扩展的发射。我们的结果强调了Gorynych将理论坍缩模型与观测相结合的实用性，提供了一个从分子线数据诊断核心演化和初始条件的框架。
英文摘要：
We present PrestaLine: Gorynych, a comprehensive numerical tool designed to model the dynamical, chemical, and spectral evolution of collapsing molecular cores from the prestellar phase to protostellar accretion. The code integrates three key components: (1) Kamelung, a 1D hydrodynamics module simulating gravitational collapse up to first hydrostatic core (FHSC) formation followed by an accretion of envelope onto a young star; (2) Presta, a chemical evolution module post-processing density and temperature profiles to compute time-dependent molecular abundances; and (3) Uran(IA), a radiative transfer module generating synthetic molecular line spectra. We apply Gorynych to compare low-mass (5 Msun) and high-mass (50 Msun) cores, finding that their dynamical evolution is remarkably similar, with differences primarily in spatial scaling. Chemical evolution reveals sharp abundance changes during the FHSC transition, particularly for CO, H2O, and HCO+, though pre-collapse chemical initialization has minimal impact on most species. Spectral maps of 13CO(2-1), HCO+(3-2), and H2O(110--101) lines show distinct kinematic signatures of infall and depletion, with high-mass cores exhibiting spatially extended emission. Our results highlight Gorynych's utility to couple theoretical collapse models and observations, providing a framework to diagnose core evolution and initial conditions from molecular line data.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
