Physics of the Dark Universe ( IF 5.0 ) Pub Date : 2021-04-10 , DOI: 10.1016/j.dark.2021.100812 Xin Ren , Thomas Hong Tsun Wong , Yi-Fu Cai , Emmanuel N. Saridakis
We use a combination of observational data in order to reconstruct the free function of gravity in a model-independent manner. Starting from the data-driven determined dark-energy equation-of-state parameter we are able to reconstruct the form. The obtained function is consistent with the standard CDM cosmology within confidence level, however the best-fit value experiences oscillatory features. We parametrize it with a sinusoidal function with only one extra parameter comparing to CDM paradigm, which is a small oscillatory deviation from it, close to the best-fit curve, and inside the reconstructed region. Similar oscillatory dark-energy scenarios are known to be in good agreement with observational data, nevertheless this is the first time that such a behavior is proposed for gravity. Finally, since the reconstruction procedure is completely model-independent, the obtained data-driven reconstructed form could release the tensions between CDM estimations and local measurements, such as the and ones.
中文翻译:
数据驱动的后期宇宙加速重建 重力
我们使用观测数据的组合来重构自由的函数 以与模型无关的方式引力。从数据驱动的确定的暗能量状态方程参数开始,我们能够重建形式。所获得的功能与标准一致内的CDM宇宙学 置信水平,但是最适合的值具有振荡特征。我们使用正弦函数对它进行参数化,与CDM范式,与它的振荡偏差很小,接近最佳拟合曲线,并且在 重建区域。已知类似的振荡暗能量情景与观测数据非常吻合,但这是首次提出将这种行为用于重力。最后,由于重建过程完全与模型无关,因此获得的数据驱动重建 形式可以释放之间的紧张关系 CDM估算值和本地测量值,例如 和 那些。