论文标题
Baryonic在DM光晕上：骆驼模拟中的浓度质量关系
Baryonic Imprints on DM Halos: The concentration-mass relation in the CAMELS simulations
论文作者
论文摘要
巴元中的物理学及其随后对总物质相空间的影响具有丰富的现象学，并且必须对宇宙学和天体物理学的大量问题进行充分的理解。我们使用骆驼模拟套件来量化四个不同的星系形成参数/过程（以及两个宇宙参数）对浓度质量关系的影响，$ c _ {\ rm vir} - m _ {\ rm vir} $。我们构建了一个模拟的非线性模型，以浓度作为光晕质量，红移和6个宇宙学/天体物理参数的函数。这是针对两个星系组模型，即Illaberistng和Simba的，使用了1000个模拟。我们在[10^{11}，10^{11}，10^{14.5}] m _ {\ rm \ odot}/h $中，在[10^{11}，10^{11}，10^{11} \ in [\ rm \ odot}/h $和红色shift $ z \ in [0,6] $ [0,0,6] $ in [0,0,6] $ in [0,6] $中，发现许多强大的质量和红色的功能。 Illustristng和Simba结果之间的比较表明，天体物理模型的选择会导致这些Baryon烙印的质量和红移依赖性显着差异。最后，我们使用$ c _ {\ rm vir} -m _ {\ rm vir} $的现有观察测量值对四个天体物理参数提供了粗略的限制。我们的非线性模型可公开可用，可用于在任何基于Halo模型的分析中包括基于骆驼的Baryon烙印。
The physics of baryons in halos, and their subsequent influence on the total matter phase space, has a rich phenomenology and must be well understood in order to pursue a vast set of questions in both cosmology and astrophysics. We use the CAMELS simulation suite to quantify the impact of four different galaxy formation parameters/processes (as well as two cosmological parameters) on the concentration-mass relation, $c_{\rm vir} - M_{\rm vir}$. We construct a simulation-informed nonlinear model for concentration as a function of halo mass, redshift, and 6 cosmological/astrophysical parameters. This is done for two galaxy formation models, IllustrisTNG and SIMBA, using 1000 simulations of each. We extract the imprints of galaxy formation across a wide range in mass $M_{\rm vir} \in [10^{11}, 10^{14.5}] M_{\rm \odot}/h$ and in redshift $z \in [0,6]$ finding many strong mass- and redshift-dependent features. Comparisons between the IllustrisTNG and SIMBA results show the astrophysical model choices cause significant differences in the mass and redshift dependence of these baryon imprints. Finally, we use existing observational measurements of $c_{\rm vir} - M_{\rm vir}$ to provide rough limits on the four astrophysical parameters. Our nonlinear model is made publicly available and can be used to include CAMELS-based baryon imprints in any halo model-based analysis.
