论文标题
与Pantheon和Eboss DR16类星体样品的宇宙距离双重性关系的模型无关测试
Model-independent test for the cosmic distance duality relation with Pantheon and eBOSS DR16 quasar sample
论文作者
论文摘要
在本文中，我们通过结合最新的五个baryon声学振荡（BAO）测量结果和Pantheon型IA Supernova（SNIA）样本，对宇宙距离双重关系〜（CDDR）进行了新的独立于模型的宇宙学测试。特别是，使用了扩展的Baryon振荡光谱调查〜（EBOSS）数据释放〜（DR）16个Quasar样品的BAO测量，使用了有效的红移$ z = 1.48 $，两种方法，即，一种压缩形式的万神殿样本和人工神经网络〜（ANN）结合了binia snia snia sneia senia spect spepl sepper conspers conspers consplif consplif conscome。我们的结果表明，CDDR与观测值兼容，高降射BAO和SNIA数据可以有效地增强CDDR违规参数的约束，而置信区间降低了20％以上。此外，我们发现观察数据的压缩形式可以对CDDR提供更严格的约束，因此可以将其推广到其他实际观察数据的应用，在CDDR测试中样本量有限。
In this paper, we carry out a new model-independent cosmological test for the cosmic distance duality relation~(CDDR) by combining the latest five baryon acoustic oscillations (BAO) measurements and the Pantheon type Ia supernova (SNIa) sample. Particularly, the BAO measurement from extended Baryon Oscillation Spectroscopic Survey~(eBOSS) data release~(DR) 16 quasar sample at effective redshift $z=1.48$ is used, and two methods, i.e. a compressed form of Pantheon sample and the Artificial Neural Network~(ANN) combined with the binning SNIa method, are applied to overcome the redshift-matching problem. Our results suggest that the CDDR is compatible with the observations, and the high-redshift BAO and SNIa data can effectively strengthen the constraints on the violation parameters of CDDR with the confidence interval decreasing by more than 20 percent. In addition, we find that the compressed form of observational data can provide a more rigorous constraint on the CDDR, and thus can be generalized to the applications of other actual observational data with limited sample size in the test for CDDR.
