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arXiv 0908.2133astro-ph.CO
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重子耗散对暗物质维里标度关系的影响

Effects of Baryon Dissipation on the Dark Matter Virial Scaling Relation

Erwin T. Lau, Daisuke Nagai, Andrey V. Kravtsov

摘要:

利用自洽宇宙学模拟方法研究了重子耗散对星系团和星系团中总质量与速度色散之间的暗物质维里标度关系以及星系团和星系团的速度偏差的影响。我们发现重子耗散使暗物质在维里半径内的速度色散增加了5% -10%。这种效应主要是由星系团内部区域的密度和引力势的变化驱动的,在气体冷却和恒星形成效率更高的低质量系统中,这种效应更大。我们还表明,星系的速度偏差取决于如何选择星系。根据恒星质量选择的星系没有速度偏差,而根据总质量选择的星系显示出~ 10%的正偏差,这与以前基于无碰撞暗物质模拟的结果一致。我们进一步发现,观测估计的星系速度色散是无偏的暗物质的速度色散,提供星系选择使用他们的恒星质量和他们的速度色散计算与20多个最大质量的星系。另一方面,用较少的星系来估计速度色散,可能会导致对动力学质量的显著低估。本文的结果应该是有用的解释高红移群体和集群以及来自即将到来的光学集群调查的宇宙学约束。

英文摘要:

We investigate effects of baryon dissipation on the dark matter virial scaling relation between total mass and velocity dispersion and the velocity bias of galaxies in groups and clusters using self-consistent cosmological simulations. We show that the baryon dissipation increases the velocity dispersion of dark matter within the virial radius by 5% - 10%. The effect is mainly driven by the change in density and gravitational potential in inner regions of cluster, and it is larger in lower mass systems where gas cooling and star formation are more efficient. We also show that the galaxy velocity bias depends on how galaxies are selected. Galaxies selected based on their stellar mass exhibit no velocity bias, while galaxies selected based on their total mass show positive bias of ~10%, consistent with previous results based on collisionless dark matter- only simulations. We further find that observational estimates of galaxy velocity dispersion are unbiased with respect to the velocity dispersion of dark matter, provided galaxies are selected using their stellar masses and and their velocity dispersions are computed with more than twenty most massive galaxies. Velocity dispersions estimated with fewer galaxies, on the other hand, can lead to significant underestimate of dynamical masses. Results presented in this paper should be useful in interpretating high-redshift groups and clusters as well as cosmological constraints derived from upcoming optical cluster surveys.

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