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arXiv 2204.08710astro-ph.COgr-qchep-phhep-th
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伽马射线暴观测数据表明,三参数基平面(Dainotti)关联关系比双参数关联关系更好

Gamma-ray burst data strongly favor the three-parameter fundamental plane (Dainotti) correlation relation over the two-parameter one

Shulei Cao, Maria Dainotti, Bharat Ratra

摘要:

观测到的伽马射线暴(GRB)使$z=9.4$红移,是早期宇宙中大部分未被探索的$z\sim 2.7-9.4$部分的潜在探测器。因此,找到伽玛暴物理性质之间的相关关系是至关重要的。我们发现,铂伽玛暴数据汇编,与50长伽玛暴,在红移范围$0.553 \leq z \leq 5.0$内有95个长伽玛暴(相对平坦的平台,没有耀斑),而LGRB 95数据汇编,在$0.297 \leq z \leq 9.4$内有95个长伽玛暴,以及两者的145个伽玛暴组合,强烈支持三维(3D)基本平面(Dainotti)相关关系(峰值瞬时亮度、平台发射末端的亮度和其静止帧持续时间之间)对二维相关关系(平台发射末端的亮度和其持续时间之间)的影响。三个数据集中的3D Dainotti相关性是可量化的。我们发现,虽然LGRB 95数据有$\sim50$ %更大的内在散射参数值比质量更好的铂数据,他们提供了宇宙模型和GRB相关参数,也许仅仅是由于大量的数据点,95比50更严格的约束。这表明,当编译伽玛射线暴数据的目的是约束宇宙学参数,鉴于目前的伽玛射线暴数据的质量,内在散射参数的减少必须对减少样本量进行平衡。

英文摘要:

Gamma-ray bursts (GRBs), observed to redshift $z=9.4$, are potential probes of the largely unexplored $z\sim 2.7-9.4$ part of the early Universe. Thus, finding relevant relations among GRB physical properties is crucial. We find that the Platinum GRB data compilation, with 50 long GRBs (with relatively flat plateaus and no flares) in the redshift range $0.553 \leq z \leq 5.0$, and the LGRB95 data compilation, with 95 long GRBs in $0.297 \leq z \leq 9.4$, as well as the 145 GRB combination of the two, strongly favor the three-dimensional (3D) fundamental plane (Dainotti) correlation relation (between the peak prompt lumininosity, the luminosity at the end of the plateau emission, and its rest frame duration) over the two-dimensional one (between the luminosity at the end of the plateau emission and its duration). The 3D Dainotti correlations in the three data sets are standardizable. We find that while LGRB95 data have $\sim50$% larger intrinsic scatter parameter values than the better-quality Platinum data, they provide somewhat tighter constraints on cosmological-model and GRB-correlation parameters, perhaps solely due to the larger number of data points, 95 versus 50. This suggests that when compiling GRB data for the purpose of constraining cosmological parameters, given the quality of current GRB data, intrinsic scatter parameter reduction must be balanced against reduced sample size.

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