论文标题
Sparc星系的暗物质概况：对模糊暗物质的挑战
Dark matter profiles of SPARC galaxies: a challenge to fuzzy dark matter
论文作者
论文摘要
星系的恒星和气体运动学是对光环中暗物质分布的敏感探针。流行的模糊暗物质模型预测了星系中密度分布的特殊形状：特定的致密芯，并急剧过渡到光环。此外，模糊的暗物质可以预测暗物质粒子质量和密度参数之间的比例关系。在这项工作中，我们使用贝叶斯框架和几种暗物质光环模型来使用Spitzer光度法和准确的旋转曲线数据库分析星系的恒星运动学。然后，我们采用贝叶斯模型比较来选择最佳的光晕密度模型。我们发现，超过一半的星系更喜欢模糊的暗模型，而不是标准的暗物质概况（NFW，Burkert和Cored NFW）。尽管这对于模糊的暗物质来说似乎是一个成功，但我们也发现粒子质量没有一个值得适合所有星系的单一值。
Stellar and gas kinematics of galaxies are a sensitive probe of the dark matter distribution in the halo. The popular fuzzy dark matter models predict the peculiar shape of density distribution in galaxies: specific dense core with sharp transition to the halo. Moreover, fuzzy dark matter predicts scaling relations between the dark matter particle mass and density parameters. In this work, we use a Bayesian framework and several dark matter halo models to analyse the stellar kinematics of galaxies using the Spitzer Photometry and Accurate Rotation Curves database. We then employ a Bayesian model comparison to select the best halo density model. We find that more than half of the galaxies prefer the fuzzy dark model against standard dark matter profiles (NFW, Burkert, and cored NFW). While this seems like a success for fuzzy dark matter, we also find that there is no single value for the particle mass that provides a good fit for all galaxies.
