Tidal Suppression of Fuzzy Dark Matter Heating in Milky Way Satellite Galaxies

Yu-Ming Yang, Zhao-Chen Zhang, Xiao-Jun Bi and Peng-Fei Yin
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Abstract

Many previous studies have imposed stringent constraints on the particle mass of fuzzy dark matter (FDM) by analyzing observations of Galactic satellite galaxies, which show no significant evidence of the heating effect predicted by FDM. However, these analyses have generally neglected the tidal influence of the Milky Way (MW), which can substantially suppress the FDM-induced heating effect in satellites. This oversight arises from computational challenges of accurately capturing the tidal effects in FDM simulations. In this study, we present a novel simulation framework that, for the first time, enables the simulation of an FDM-stellar system within an observationally motivated gravitational potential of the MW. This framework incorporates the diverse Galactic components, including the gravitational influence of the Large Magellanic Cloud. Using the Fornax dwarf galaxy as a case study, we demonstrate that tidal effects significantly alleviate the tension between observational data and the predicted heating effect for an FDM particle mass of ma ∼ 10−22 eV.
银河系卫星星系中模糊暗物质加热的潮汐抑制
以往的许多研究通过分析银河系卫星星系的观测结果,对模糊暗物质(FDM)的粒子质量施加了严格的限制,但没有发现FDM预测的热效应的显著证据。然而,这些分析通常忽略了银河系的潮汐影响(MW),这可以大大抑制卫星中fdm引起的热效应。这种疏忽来自于在FDM模拟中精确捕捉潮汐效应的计算挑战。在这项研究中,我们提出了一个新的模拟框架,首次能够在观测激发的MW引力势下模拟fdm -恒星系统。这个框架结合了不同的星系组成部分,包括大麦哲伦星云的引力影响。以天炉座矮星系为例,我们证明了潮汐效应显著缓解了观测数据与FDM粒子质量为ma ~ 10−22 eV的预测热效应之间的张力。
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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