恒星反馈与晚型星系核的能量收支：重子缺失与核心产生
Stellar Feedback and the Energy Budget of Late-Type Galaxies: Missing Baryons and Core Creation
摘要：
在$Λ$ CDM宇宙学中，星系形成是一个整体效率低下的过程：通常情况下，在星系盘中观察到的重子比从宇宙重子分数中预期的要少得多。这些“失踪重子”的位置尚不清楚。通过拟合晕配置文件的旋转曲线的星系在银河系的数据集，我们测量的“失踪重子”的质量为个别晚型系统。假设晕最初吸积宇宙学重子分数，我们表明，超新星的最大能量通常不足以完全从晕中喷出这些“失踪的重子”，但它往往足以加热到维里温度。从超新星中获得的能量与星系质量具有相同的标度，就像加热或喷射“失踪的重子”所需的能量一样，这表明反馈到ISM的耦合效率可能与星系维里质量保持不变。我们进一步发现，从超新星反馈可用的能量总是足以转换成一个核心的原始尖点，并具有与所需的加热“失踪重子”维里温度的大小一致。用${\rm 10^9<M_{vir}/M_{\odot}<10^{12}}$对星系的重子含量进行了普查，结果表明，星系周围的重子中的$\sim86\%$可能处于热相，可能在X射线中观测到，$\sim7\%$以冷气体的形式存在，而$\sim7\%$则存在于恒星中。
英文摘要：
In a $Λ$CDM cosmology, galaxy formation is a globally inefficient process: it is often the case that far fewer baryons are observed in galaxy disks than expected from the cosmic baryon fraction. The location of these "missing baryons" is unclear. By fitting halo profiles to the rotation curves of galaxies in the SPARC data set, we measure the "missing baryon" mass for individual late-type systems. Assuming that haloes initially accrete the cosmological baryon fraction, we show that the maximum energy available from supernovae is typically not enough to completely eject these "missing baryons" from a halo, but it is often sufficient to heat them to the virial temperature. The energy available from supernovae has the same scaling with galaxy mass as the energy needed to heat or eject the "missing baryons", indicating that the coupling efficiency of the feedback to the ISM may be constant with galaxy virial mass. We further find that the energy available from supernova feedback is always enough to convert a primordial cusp into a core and has magnitude consistent with what is required to heat the "missing baryons" to the virial temperature. Taking a census of the baryon content of galaxies with ${\rm 10^9<M_{vir}/M_{\odot}<10^{12}}$ reveals that $\sim86\%$ of baryons are likely to be in a hot phase surrounding the galaxies and possibly observable in the X-ray, $\sim7\%$ are in the form of cold gas, and $\sim7\%$ are in stars.
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。
