Who Ordered That? Unequal-mass Binary Black Hole Mergers Have Larger Effective Spins

被引:83
作者
Callister, Thomas A. [1 ]
Haster, Carl-Johan [2 ,3 ,4 ]
Ng, Ken K. Y. [2 ,3 ,4 ]
Vitale, Salvatore [2 ,3 ,4 ]
Farr, Will M. [1 ,5 ]
机构
[1] Flatiron Inst, Ctr Computat Astrophys, 162 Fifth Ave, New York, NY 10010 USA
[2] MIT, LIGO Lab, 185 Albany St, Cambridge, MA 02139 USA
[3] MIT, Dept Phys, 77 Massachusetts Ave, Cambridge, MA 02139 USA
[4] MIT, Kavli Inst Astrophys & Space Res, 77 Massachusetts Ave, Cambridge, MA 02139 USA
[5] SUNY Stony Brook, Dept Phys & Astron, Stony Brook, NY 11794 USA
基金
美国国家科学基金会; 澳大利亚研究理事会; 英国科学技术设施理事会;
关键词
AGN DISCS; POPULATION PROPERTIES; GRAVITATIONAL-WAVES; COMPACT BINARIES; LIGO; PARAMETERS; ASTROPY; 1ST;
D O I
10.3847/2041-8213/ac2ccc
中图分类号
P1 [天文学];
学科分类号
0704 ;
摘要
Hierarchical analysis of binary black hole (BBH) detections by the Advanced LIGO and Virgo detectors has offered an increasingly clear picture of their mass, spin, and redshift distributions. Fully understanding the formation and evolution of BBH mergers will require not just the characterization of these marginal distributions, but the discovery of any correlations that exist between the properties of BBHs. Here, we hierarchically analyze the ensemble of BBHs discovered by LIGO and Virgo with a model that allows for intrinsic correlations between their mass ratios q and effective inspiral spins chi (eff). At 98.7% credibility, we find that the mean of the chi (eff) distribution varies as a function of q, such that more unequa-mass BBHs exhibit systematically larger chi (eff). We find a Bayesian odds ratio of 10.5 in favor of a model that allows for such a correlation over one that does not. Finally, we use simulated signals to verify that our results are robust against degeneracies in the measurements of q and chi (eff) for individual events. While many proposed astrophysical formation channels predict some degree correlation between spins and mass ratio, these predicted correlations typically act in an opposite sense to the trend we observationally identify in the data.
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收藏
页数:18
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