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Predictions for the detection of tidal streams with Gaia using great-circle methods.

机译:使用大圆方法使用Gaia探测潮汐流的预测。

摘要

The Gaia astrometric mission may offer an unprecedented opportunity to discover new tidal streams in the Galactic halo. To test this, we apply nGC3, a great-circle-cell count method that combines position and proper motion data to identify streams, to 10 mock Gaia catalogues of K giants and RR Lyrae stars constructed from cosmological simulations of Milky Way analogues. We analyse two sets of simulations, one using a combination of N-body and semi-analytical methods, which has extremely high resolution, the other using hydrodynamical methods, which captures the dynamics of baryons, including the formation of an in situ halo. These 10 realizations of plausible Galactic merger histories allow us to assess the potential for the recovery of tidal streams in different Milky Way formation scenarios. We include the Gaia selection function and observational errors in these mock catalogues. We find that the nGC3 method has a well-defined detection boundary in the space of stream width and projected overdensity, which can be predicted based on direct observables alone. We predict that about 4–13 dwarf galaxy streams can be detected in a typical Milky Way-mass halo with Gaia+nGC3, with an estimated efficiency of >80 per cent inside the detection boundary. The progenitors of these streams are in the mass range of the classical dwarf galaxies and may have been accreted as early as redshift ∼3. Finally, we analyse how different possible extensions of the Gaia mission will improve the detection of tidal streams.
机译:盖亚天文观测任务可能会提供前所未有的机会在银河系晕中发现新的潮汐流。为了测试这一点,我们将nGC3(这是一种结合位置和适当运动数据以识别流的大细胞计数方法)应用于由银河系类似物的宇宙学模拟构建的10个Ga巨人Gaia目录和RR天琴星的Gaia模拟目录。我们分析了两组模拟,一组使用N体和半分析方法的组合,具有极高的分辨率,另一组使用流体力学的方法,该方法捕获了重子的动力学,包括原位光环的形成。银河合并历史的这10种实现使我们能够评估在不同银河系形成场景中潮汐流恢复的潜力。我们在这些模拟目录中包括Gaia选择功能和观测误差。我们发现nGC3方法在水流宽度和投影密度的空间中具有明确定义的检测边界,这可以仅基于直接观测值进行预测。我们预测,在具有Gaia + nGC3的典型银河质量晕中,可以检测到约4–13个矮星系流,估计在检测边界内的效率超过80%。这些流的始祖在经典矮星系的质量范围内,可能早在红移〜3时就已被吸收。最后,我们分析了Gaia任务的各种可能扩展将如何改善潮汐流的检测。

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