AI 中文总结
基于仪器灵敏度提高带来的双黑洞数据，构建多成分混合模型，恢复了合并率与质量、红移及自旋的趋势，结果与此前部分一致，但发现除最低质量外各成分与各向同性一致，且无预期的自旋与质量关联。
AI 中文摘要
随着仪器灵敏度提高，当前引力波普查包含259个双黑洞，足以揭示趋势、子结构和亚群，为形成机制提供线索。本文受多种形成通道证据启发，构建多成分混合模型，各成分有独立的合并率、质量、自旋和自旋失准模型。用精心调整避免参数简并的幂律模型加五个更高质量高斯模型，恢复的合并率与质量及红移趋势与此前结果一致。还恢复了自旋趋势。关键是，多成分模型与此前结果不同，发现除最低质量外所有成分与各向同性一致，且高斯质量峰大致呈层次谱，但无预期的自旋与质量关联。
英文摘要
Enabled by improved instruments with increasing sensitivity, the ongoing gravitational wave census now contains 259 binary black holes, numerous enough to unveil trends, substructure, and subpopulations which may provide key clues to their underlying formation mechanisms. In this work, motivated by evidence for multiple formation channels including hierarchical formation, we build a natively multi component mixture model for the binary black hole population, in which each component has an independently recovered rate, mass, spin, and spin misalignment model. (The components share a common redshift distribution.) Using a model carefully tuned to avoid parameter degeneracies, a powerlaw model plus five successively higher mass gaussians, we recover overall merger rates versus mass and trends versus redshift which are consistent with previously published results. Too, we recover previously identified overall trends versus spin: preferential alignment and low spin at low mass; large spin and isotropic spins at high mass. Critically, however, our multi-component model disagrees with previously published results, finding all components except the lowest mass are consistent with isotropy. Too, our multi-component model has a roughly hierarchical spectrum of gaussian mass peaks, but without the expected correlations between spin and mass expected from naked hierarchical formation
