Characterising Tidal Features Around Galaxies in Cosmological Simulations

Aman Khalid, S. Brough, Garreth Martin, Lucas C. Kimmig, C. Lagos, R. Remus, C. Martínez-Lombilla
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Abstract

Tidal features provide signatures of recent mergers and offer a unique insight into the assembly history of galaxies. The Vera C. Rubin Observatory’s Legacy Survey of Space and Time (LSST) will enable an unprecedentedly large survey of tidal features around millions of galaxies. To decipher the contributions of mergers to galaxy evolution it will be necessary to compare the observed tidal features with theoretical predictions. Therefore, we use cosmological hydrodynamical simulations NewHorizon, eagle, IllustrisTNG, and Magneticum to produce LSST-like mock images of z ∼ 0 galaxies (z ∼ 0.2 for NewHorizon) with $M_{\scriptstyle \star ,\text{ 30 pkpc}}\ge 10^{9.5}$ M$_{\scriptstyle \odot }$. We perform a visual classification to identify tidal features and classify their morphology. We find broadly good agreement between the simulations regarding their overall tidal feature fractions: $f_{\small {\rm NEWHORIZON}}=0.40\pm 0.06$, $f_{\small {\rm EAGLE}}=0.37\pm 0.01$, $f_{\small {\rm TNG}}=0.32\pm 0.01$ and $f_{\small {\rm MAGNETICUM}}=0.32\pm 0.01$, and their specific tidal feature fractions. Furthermore, we find excellent agreement regarding the trends of tidal feature fraction with stellar and halo mass. All simulations agree in predicting that the majority of central galaxies of groups and clusters exhibit at least one tidal feature, while the satellite members rarely show such features. This agreement suggests that gravity is the primary driver of the occurrence of visually-identifiable tidal features in cosmological simulations, rather than subgrid physics or hydrodynamics. All predictions can be verified directly with LSST observations.
描述宇宙学模拟中星系周围的潮汐特征
潮汐特征提供了近期合并的特征,为了解星系的装配历史提供了独特的视角。维拉-C-鲁宾天文台(Vera C. Rubin Observatory)的时空遗产巡天(LSST)将对数百万星系周围的潮汐特征进行一次前所未有的大规模巡天。为了解读星系合并对星系演化的贡献,有必要将观测到的潮汐特征与理论预测进行比较。因此,我们使用宇宙学流体力学模拟NewHorizon、eagle、IllustrisTNG和Magneticum来生成类似于LSST的z ∼ 0星系的模拟图像(NewHorizon的z ∼ 0.2),模拟值为$M_{scriptstyle \star ,\text{ 30 pkpc}}\ge 10^{9.5}$ M$_{scriptstyle \odot }$。我们通过视觉分类来识别潮汐特征,并对其形态进行分类。我们发现模拟结果在总体潮汐特征分数上基本一致:$f_{\small {\rm NEWHORIZON}}=0.40\pm 0.06$, $f_{\small {\rm EAGLE}}=0.37\pm 0.01$, $f_{\small {\rm TNG}}=0.32\pm 0.01$ 和 $f_{\small {\rm MAGNETICUM}}=0.32\pm 0.01$,以及它们的具体潮汐特征分数。此外,我们还发现潮汐特征分数与恒星和光环质量的变化趋势非常一致。所有模拟都一致预测,星系团和星团的大多数中心星系至少表现出一种潮汐特征,而卫星成员则很少表现出这种特征。这种一致表明,引力是宇宙学模拟中出现可直观识别的潮汐特征的主要驱动力,而不是子网格物理学或流体力学。所有的预测都可以直接用 LSST 的观测结果来验证。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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