拓展暗信号宇宙学的范围:推断引力波宿主星系的群体性质
Expanding the scope of dark siren cosmology: Inferring the population properties of gravitational wave-hosting galaxies
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中文总结 AI 辅助
该研究针对暗信号宇宙学的三大挑战,提出改进方法,利用gwcosmo联合推断引力波宿主星系等参数,首次测量宿主星系权重模型,更新了哈勃常数测量值。
中文摘要 AI 辅助
引力波“暗信号”宇宙学领域在将星系巡天数据纳入分析的方式上面临诸多挑战,其中最大的三个挑战是:充分补偿星系巡天的不完整性、稳健处理星系红移与源性质,以及宿主星系的权重模型仍未知。我们提出了一种利用暗信号与不完整星系巡天推断宇宙学参数的改进方法:通过改用采样红移先验而非在网格上预先计算的先验,可联合推断描述引力波宿主星系群体、引力波群体及宇宙学模型的参数。我们使用宇宙学推断软件gwcosmo复现了GWTC-5.0的部分宇宙学结果,随后将分析扩展至联合推断宿主星系权重模型——这是该类测量的首次尝试,由此得到哈勃常数的更新测量值为$H_0 = {71.9}_{-7.5}^{+9.1}$ km s$^{-1}$ Mpc$^{-1}$(中位数及68%对称可信区间)。这一创新新方法为解决暗信号宇宙学领域当前面临的若干重大挑战打开了大门。
英文摘要
The field of gravitational wave "dark siren" cosmology is facing a number of challenges surrounding the way in which galaxy catalogue data is incorporated into the analysis. The three biggest challenges are adequately compensating for galaxy catalogue incompleteness, robust treatment of galaxy redshift and source properties, and the as-yet unknown host galaxy weighting model. We present an updated methodology for inferring cosmological parameters using dark sirens and incomplete galaxy catalogues. By switching to a sampled redshift prior, rather than one which is pre-computed on a grid, we can jointly infer parameters which describe the population of gravitational-wave hosting galaxies, alongside the gravitational wave population and cosmological model. Using the cosmological inference software gwcosmo, we reproduce a subset of GWTC-5.0 cosmology results, then extend the analysis to jointly infer the host galaxy weighting model - the first measurement of its kind to do so - leading to an updated measurement of the Hubble constant with $H_0 = {71.9}_{-7.5}^{+9.1}$ km s$^{-1}$ Mpc$^{-1}$ (median and 68% symmetric credible interval). This innovative new method opens the door to solving several of the biggest challenges currently facing the field of dark siren cosmology.
发表机构
- SUPA, School of Physics and Astronomy, University of Glasgow(苏格兰大学物理与天文学超级学院,格拉斯哥大学)
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