论文标题
NED-D中具有多个估计值的星系的平均估计距离
Mean Estimate Distances for Galaxies with Multiple Estimates in NED-D
论文作者
论文摘要
许多研究主题依赖于改进的宇宙距离量表（例如宇宙学，引力波）和NASA/IPAC/IPAC距离数据库（NED-D）（NED-D）通过对12,000个星系（例如，大型岩浆云（lmc）Zeraxies（例如，多个无红速度独立的距离）来支持这些努力。提出了从数据获得平均估计距离（MED）的六种方法（例如指标和决策树）。对于所检查的病例，所有六种药物都产生了令人惊讶的一致距离，包括关键基准LMC和M106星系。结果强调了NED-D Meds在加强宇宙距离量表并促进系统趋势的识别方面的实用性。
Numerous research topics rely on an improved cosmic distance scale (e.g., cosmology, gravitational waves), and the NASA/IPAC Extragalactic Database of Distances (NED-D) supports those efforts by tabulating multiple redshift-independent distances for 12,000 galaxies (e.g., Large Magellanic Cloud (LMC) zero-point). Six methods for securing a mean estimate distance (MED) from the data are presented (e.g., indicator and Decision Tree). All six MEDs yield surprisingly consistent distances for the cases examined, including for the key benchmark LMC and M106 galaxies. The results underscore the utility of the NED-D MEDs in bolstering the cosmic distance scale and facilitating the identification of systematic trends.
