Targeted Modeling of GW150914's Binary Black Hole Source with Dart_board

Targeted Modeling of GW150914's Binary Black Hole Source with Dart_board
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DOI:
10.3847/2041-8213/ac00a6
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发表时间:
2020-11
期刊:
The Astrophysical Journal Letters
影响因子:
--
通讯作者:
J. Andrews;J. Cronin;V. Kalogera;C. Berry;A. Zezas
J. Andrews;J. Cronin;V. Kalogera;C. Berry;A. Zezas
中科院分区:
其他
文献类型:
--
作者:
J. Andrews;J. Cronin;V. Kalogera;C. Berry;A. Zezas

文献摘要

相似文献

我们提出了一种新的方法来提取统计约束的祖属性和形成渠道的个别引力波源。虽然已经提出了许多不同的模型来解释LIGO科学和处女座合作组织(LVC)检测到的双黑洞,但通过孤立的双演化形成仍然是最好的探索渠道。在通过二进制演化形成的假设下,我们使用统计包装器Dart_board结合快速二进制演化代码COSMIC来模拟LVC检测到的第一个引力波信号GW 150914的祖先。我们的贝叶斯方法结合了引力波信号产生的可能性与描述恒星双星和宇宙的星星形成和金属丰度演化的人口之前。我们发现,GW 150914的主要演化通道不涉及共包络相,而是系统最有可能(约70%-90%)通过稳定的传质形成。这一结果是强大的各种模型参数的变化,只有当二进制的动态不稳定性变得更有可能时,有利于共同的信封采用严格的条件,它是相反的。我们的分析还提供了与每个通道相关的祖细胞的定量描述。
We present a new method to extract statistical constraints on the progenitor properties and formation channels of individual gravitational-wave sources. Although many different models have been proposed to explain the binary black holes detected by the LIGO Scientific and Virgo Collaboration (LVC), formation through isolated binary evolution remains the best-explored channel. Under the assumption of formation through binary evolution, we use the statistical wrapper Dart_board coupled with the rapid binary evolution code COSMIC to model the progenitor of GW150914, the first gravitational-wave signal detected by the LVC. Our Bayesian method combines the likelihood generated from the gravitational-wave signal with a prior describing the population of stellar binaries and the universe’s star formation and metallicity evolution. We find that the dominant evolutionary channel for GW150914 did not involve a common-envelope phase, but instead the system most probably (≃70%–90%) formed through stable mass transfer. This result is robust against variations of various model parameters, and it is reversed only when dynamical instability in binaries becomes more likely when a strict condition favoring common envelopes is adopted. Our analysis additionally provides a quantitative description of the progenitors relevant to each channel.