{"title":"On the Formation of Double Neutron Stars in the Milky Way: Influence of Key Parameters","authors":"Zhu-Ling Deng, Xiang-Dong Li, Y. Shao, Kun Xu","doi":"10.3847/1538-4357/ad2357","DOIUrl":null,"url":null,"abstract":"\n The detection of gravitational wave events has stimulated theoretical modeling of the formation and evolution of double compact objects (DCOs). However, even for the most studied isolated binary evolution channel, there exist large uncertainties in the input parameters and treatments of the binary evolution process. So far, double neutron stars (DNSs) are the only DCOs for which direct observations are available through traditional electromagnetic astronomy. In this work, we adopt a population synthesis method to investigate the formation and evolution of Galactic DNSs. We construct 324 models for the formation of Galactic DNSs, taking into account various possible combinations of critical input parameters and processes such as mass transfer efficiency, supernova type, common envelope efficiency, neutron star kick velocity, and pulsar selection effect. We employ Bayesian analysis to evaluate the adopted models by comparing with observations. We also compare the expected DNS merger rate in the galaxy with that inferred from the known Galactic population of pulsar-neutron star systems. Based on these analyses we derive the favorable range of the aforementioned key parameters.","PeriodicalId":504209,"journal":{"name":"The Astrophysical Journal","volume":"19 11","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"The Astrophysical Journal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3847/1538-4357/ad2357","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The detection of gravitational wave events has stimulated theoretical modeling of the formation and evolution of double compact objects (DCOs). However, even for the most studied isolated binary evolution channel, there exist large uncertainties in the input parameters and treatments of the binary evolution process. So far, double neutron stars (DNSs) are the only DCOs for which direct observations are available through traditional electromagnetic astronomy. In this work, we adopt a population synthesis method to investigate the formation and evolution of Galactic DNSs. We construct 324 models for the formation of Galactic DNSs, taking into account various possible combinations of critical input parameters and processes such as mass transfer efficiency, supernova type, common envelope efficiency, neutron star kick velocity, and pulsar selection effect. We employ Bayesian analysis to evaluate the adopted models by comparing with observations. We also compare the expected DNS merger rate in the galaxy with that inferred from the known Galactic population of pulsar-neutron star systems. Based on these analyses we derive the favorable range of the aforementioned key parameters.
引力波事件的探测激发了对双紧凑天体(DCO)形成和演化的理论建模。然而,即使是研究最多的孤立双星演化通道,在输入参数和双星演化过程的处理方面也存在着很大的不确定性。迄今为止,双中子星(DNS)是唯一可以通过传统电磁天文学直接观测到的双紧凑天体。在这项工作中,我们采用种群合成法来研究银河系双中子星的形成和演化过程。我们构建了 324 个银河 DNS 形成模型,考虑了各种可能的关键输入参数和过程组合,如质量转移效率、超新星类型、共包层效率、中子星踢速和脉冲星选择效应。我们采用贝叶斯分析法,通过与观测数据的比较来评估所采用的模型。我们还将星系中的预期DNS合并率与已知的脉冲星-中子星系统星系群推断的合并率进行了比较。根据这些分析,我们得出了上述关键参数的有利范围。