论文标题
COSMICFLOWS-4
Cosmicflows-4
论文作者
论文摘要
使用Cosmicflows-4,将距离汇编为55,877个星系,分为38,065组。采用了八种方法,其中最大的数字来自螺旋星系(TF)和椭圆星系(FP)的光度和运动学特性之间的相关性。由退化祖细胞(IA型)产生的超新星是重要的重叠成分。较小的贡献来自椭圆星系的表面亮度波动以及核心塌陷超新星(SNII)的亮度和膨胀速率的距离估计值。在局部恒星视差测量上建立的红色巨型分支观测值以及几何maser距离NGC 4258提供的红色巨型分支观测值以及距离NGC 4258的几何距离提供了绝对距离的绝对尺度。将星系组合成组是研究的重要特征,以促进方法论之间的重叠。通过贝叶斯马尔可夫链蒙特卡洛程序进行了方法论和方法之间的多个贡献之间的合并。距离的最终组装与Hubble常数的值兼容,$ H_0 = 74.6 $ km s $^{ - 1} $ MPC $^{ - 1} $与$ \ pm 0.8 $ km S $ s $ s $ s $^{ - 1} $^{ - 1} $ MPC $^{ - 1} $^$^$^$^$^3 km的小统计误差为mpc $^{ - 1} $。可以从测得的距离推断出特殊的速度。由于在单个组件上发生了很大的错误,因此对特殊速度领域的解释很复杂,并邀请了本研究范围之外的分析。
With Cosmicflows-4, distances are compiled for 55,877 galaxies gathered into 38,065 groups. Eight methodologies are employed, with the largest numbers coming from the correlations between the photometric and kinematic properties of spiral galaxies (TF) and elliptical galaxies (FP). Supernovae that arise from degenerate progenitors (type Ia Sne) are an important overlapping component. Smaller contributions come from distance estimates from the surface brightness fluctuations of elliptical galaxies and the luminosities and expansion rates of core collapse supernovae (SNII). Cepheid period-luminosity relation and tip of the red giant branch observations founded on local stellar parallax measurements along with the geometric maser distance to NGC 4258 provide the absolute scaling of distances. The assembly of galaxies into groups is an important feature of the study in facilitating overlaps between methodologies. Merging between multiple contributions within a methodology and between methodologies is carried out with Bayesian Markov chain Monte Carlo procedures. The final assembly of distances is compatible with a value of the Hubble constant of $H_0=74.6$ km s$^{-1}$ Mpc$^{-1}$ with the small statistical error of $\pm 0.8$ km s$^{-1}$ Mpc$^{-1}$ but a large potential systematic error of ~3 km s$^{-1}$ Mpc$^{-1}$. Peculiar velocities can be inferred from the measured distances. The interpretation of the field of peculiar velocities is complex because of large errors on individual components and invites analyses beyond the scope of this study.