Cosmology and statistics

Cosmology: non-standard models

We study the possible deviations from the standard cosmological model: possible interaction between dark matter and dark energy and anisotropic expansion of the Universe... But we find no significance (<3 sigma) of deviation. We also calibrate Gamma-ray bursts using SNe Ia data to study the high-redshift cosmology.

Ref: Wang & Wang, 2014, A&A, http://www.aanda.org/10.1051/0004-6361/201322606

Wang & Wang, 2014, MNRAS, https://academic.oup.com/mnras/article/443/2/1680/1071190

Wang et al. 2016, A&A, http://www.aanda.org/10.1051/0004-6361/201526485

Statistics: self-organized criticality

Type I X-ray bursts in a low-mass X-ray binary are caused by unstable nuclear burning of accreted materials. We ﬁnd that the probability distributions of ﬂuence, peak count, rise time, duration and waiting time can be described as power-law-like distributions. This indicates that type I X-ray bursts may be governed by a self-organized criticality (SOC) process. The power-law index of the waiting time distribution (WTD) is around −1. This is not predicted by any current waiting time model. We find this can be well explained if the mean occurrence rate is inversely proportional to time: λ ∝ t^−1.

Ref: Wang et al. 2017, MNRAS, https://ui.adsabs.harvard.edu/abs/2017MNRAS.471.2517W/abstract

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