论文标题
缺少的郊区问题?蜻蜓附近星系调查中的恒星光环与TNG100模拟之间的比较
A missing outskirts problem? Comparisons between stellar halos in the Dragonfly Nearby Galaxies Survey and the TNG100 simulation
论文作者
论文摘要
低表面亮度银河恒星光环为揭开过去星系的过去组装历史提供了一条具有挑战性但有希望的路径。在这里,我们介绍了在Illustristng项目的TNG100运行中观察到的银河系质量磁盘星系的恒星光环与附近星系调查(DNGS)的一部分(DNGS)的一部分之间的比较。我们制作出色的质量地图以及模拟$ G $和$ r $ band图像,用于随机定向模拟的星系,将后者与蜻蜓PSF进行卷积,并注意与背景噪音,表面亮度限制和DNG的空间分辨率相匹配。我们测量了方位平均的恒星质量密度和表面亮度谱,并发现DNGS星系在大半径(> 20 kpc)的恒星质量(或光)通常与质量匹配的TNG100相比,并且具有相似的表面密度概况的模拟星系往往具有低质量的质量质量。我们通过在恒星粒子水平上实施TNG100内的几项临时调整来探索这种明显的“缺少郊外问题”的潜在解决方案。尽管我们无法确定任何单一的调整,这些调整完全核对观测到的星系郊区和模拟的银河系郊区之间的差异,但我们发现,人为地延迟了卫星星系的破坏并减少静脉内恒星种群的空间范围,从而改善了外部轮廓形状和恒星halo群体之间的匹配。可以通过能够更好地解析卫星积聚的较高分辨率模拟以及更大的观测星系样本来实现进一步的见解。
Low surface brightness galactic stellar halos provide a challenging but promising path towards unraveling the past assembly histories of individual galaxies. Here, we present detailed comparisons between the stellar halos of Milky Way-mass disk galaxies observed as part of the Dragonfly Nearby Galaxies Survey (DNGS) and stellar mass-matched galaxies in the TNG100 run of the IllustrisTNG project. We produce stellar mass maps as well as mock $g$ and $r$-band images for randomly oriented simulated galaxies, convolving the latter with the Dragonfly PSF and taking care to match the background noise, surface brightness limits and spatial resolution of DNGS. We measure azimuthally averaged stellar mass density and surface brightness profiles, and find that the DNGS galaxies generally have less stellar mass (or light) at large radii (>20 kpc) compared to their mass-matched TNG100 counterparts, and that simulated galaxies with similar surface density profiles tend to have low accreted mass fractions for their stellar mass. We explore potential solutions to this apparent "missing outskirts problem" by implementing several ad-hoc adjustments within TNG100 at the stellar particle level. Although we are unable to identify any single adjustment that fully reconciles the differences between the observed and simulated galaxy outskirts, we find that artificially delaying the disruption of satellite galaxies and reducing the spatial extent of in-situ stellar populations result in improved matches between the outer profile shapes and stellar halo masses, respectively. Further insight can be achieved with higher resolution simulations that are able to better resolve satellite accretion, and with larger samples of observed galaxies.