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arXiv 2408.01048astro-ph.HEastro-ph.GA
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涉及中子星双星并合的伽马射线暴宿主星系性质及其对千新星发生率的影响

Host Galaxy Properties of Gamma-ray Bursts Involving Neutron Star Binary Mergers and Its Impact on Kilonovae Rates

Mankeun Jeong, Myungshin Im

AI总结:

本文通过汇编并拟合76个短暴和4个混合暴宿主星系的测光数据,发现其恒星质量分布低于质量加权预期,并提出一个依赖恒星质量与比恒星形成率的双中子星并合率经验公式,为引力波事件宿主星系识别提供新策略。

摘要:

在即将到来的引力波(GW)观测运行中,识别宿主星系至关重要,因为它能提供必要的红移信息,并使引力波事件能够作为标准汽笛使用。然而,由于定位不确定性较大以及其光学对应体迅速衰减的特性,精确定位宿主星系仍然具有挑战性。分析短伽马射线暴(sGRBs)的宿主星系为深入理解双中子星(BNS)主要并合的环境提供了一种替代途径。本研究汇编了76个短伽马射线暴和4个混合型伽马射线暴(即伴随类千新星信号的长伽马射线暴)宿主星系的档案测光数据。我们利用这些数据通过光谱能量分布(SED)拟合来评估它们的物理性质。为了评估宿主星系的特征,我们采用了来自COSMOS天区的体积限定样本($z<0.5$)作为对照组。与双中子星并合率与宿主恒星质量成正比的预期相反,短暴和混合暴群体看起来比对照样本的质量加权分布质量更小。取而代之,我们提出了一个星系预期双中子星并合率的公式:$\log(n_{\mathrm{BNS}}/\mathrm{Gyr}) = 0.86 \times \log(M_*/M_{\odot}) + 0.44 \times \log(\mathrm{sSFR}/\mathrm{yr}) + 0.857$,该公式最优地解释了伽马射线暴宿主星系与对照样本之间恒星质量分布的偏差。这些见解为有针对性的引力波后续观测提供了战略框架,并增强了我们为未来引力波事件识别潜在宿主星系的能力。

英文摘要:

In the upcoming gravitational wave (GW) observing runs, identifying host galaxies is crucial as it provides essential redshift information and enables the use of GW events as standard sirens. However, pinpointing host galaxies remains challenging due to the large localization uncertainties and the rapidly fading nature of their optical counterparts. Analyzing the host galaxies of short gamma-ray bursts (sGRBs) offers an alternative approach to deepen our understanding of the environments where binary neutron stars (BNS) primarily merge. This study compiles archival photometric data for the host galaxies of 76 sGRBs and 4 hybrid GRBs that are long GRBs accompanied by kilonova-like signals. We use this data to evaluate their physical properties through spectral energy distribution (SED) fitting. To assess the characteristics of the host galaxies, we utilized a volume-limited sample ($z<0.5$) from the COSMOS field as a control group. Contrary to expectations that the BNS merger rate is proportional to host stellar mass, the short and hybrid GRB population appears less massive than the mass-weighted distribution of the control sample. Instead, we propose a formulation for the expected BNS merger rate from a galaxy as $\log(n_{\mathrm{BNS}}/\mathrm{Gyr}) = 0.86 \times \log(M_*/M_{\odot}) + 0.44 \times \log(\mathrm{sSFR}/\mathrm{yr}) + 0.857$, which optimally explains the deviation between the stellar mass distributions of the GRB host galaxies and the control sample. These insights provide a strategic framework for targeted GW follow-ups and enhance our ability to identify potential host galaxies for future GW events.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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