论文标题

使用应用于Xiao等人的贝叶斯模型比较搜索lorentz违反不变性。 GRB光谱滞后目录

Search for Lorentz Invariance Violation using Bayesian model comparison applied to Xiao et al. GRB spectral lag catalog

论文作者

Desai, Shantanu, Agrawal, Rajdeep, Singirikonda, Haveesh

论文摘要

我们使用Xiao等人(2022)汇总的46个短GRB的光谱滞后目录,对Lorentz违规(LIV)进行独立搜索。为此,我们将幂律模型用作能量的函数,用于内在的天体物理诱导的光谱滞后。使用宇宙天文组织以非参数方法获得了约束LIV所需的宇宙的扩展历史。我们使用贝叶斯模型比较来确定上述光谱滞后是否显示出与天体物理诱导的滞后相比的证据。我们找不到LIV的任何证据,并获得95 \%C.L.对于线性和二次liv模型的相应能量尺度的下限为$ 4 \ times 10^{15} $ GEV和$ 6.8 \ times 10^{9} $ GEV。我们通过使用Flat $λ$ CDM模型来表征宇宙膨胀历史而获得的结果与使用计时仪获得的结果一致。

We use the spectral lag catalog of 46 short GRBs aggregated by Xiao et al (2022), to carry out an independent search for Lorentz Invariance violation (LIV). For this purpose, we use a power-law model as a function of energy for the intrinsic astrophysical induced spectral lags. The expansion history of the universe needed for constraining LIV was obtained in a non-parametric method using cosmic chronometers. We use Bayesian model comparison to determine if the aforementioned spectral lags show evidence for LIV as compared to only astrophysically induced lags. We do not find any evidence for LIV, and obtain 95\% c.l. lower limits on the corresponding energy scale to be $4 \times 10^{15}$ GeV and $6.8 \times 10^{9}$ GeV for the linear and quadratic LIV models respectively. Our results obtained by using the flat $Λ$CDM model for characterizing the cosmic expansion history are consistent with those obtained using chronometers.

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