Constraining Dark Energy From Splitting Angle Statistic of Strong Gravitational Lenses

TL;DR

This study uses the splitting angle statistics of strong gravitational lenses from the CLASS sample to constrain dark energy's equation-of-state parameter, finding results consistent with the standard cosmological model.

Contribution

It introduces a combined model of dark halo density profiles to constrain both constant and time-varying dark energy parameters using lensing data.

Findings

Model parameter M_c is about 1.4, larger than previous estimates.

Constraints on w are consistent with ΛCDM at 95% confidence level.

Time-varying w(z) parameters suggest a dynamic dark energy component.

Abstract

Utilizing the CLASS statistical sample, we investigate the constraint of the splitting angle statistic of strong gravitational lenses(SGL) on the equation-of-state parameter $w=p/\rho$ of the dark energy in the flat cold dark matter cosmology. Through the comoving number density of dark halos described by Press-Schechter theory, dark energy affects the efficiency with which dark-matter concentrations produce strong lensing signals. The constraints on both constant $w$ and time-varying $w(z)=w_0+w_az/(1+z)$ from the SGL splitting angle statistic are consistently obtained by adopting a two model combined mechanism of dark halo density profile matched at the mass scale $M_c$. Our main observations are: (a) the resulting model parameter $M_c$ is found to be $M_c \sim 1.4$ for both constant $w$ and time-varying $w(z)$, which is larger than $M_c \sim 1$ obtained in literatures; (b) the fitting results for the constant $w$ are found to be $w =-0.89^{+0.49}_{-0.26}$ and $w =-0.94^{+0.57}_{-0.16}$ for the source redshift distributions of the Gaussian models $g(z_s)$ and $g^c(z_s)$ respectively, which are consistent with the $\Lambda \rm CDM$ at 95% C.L; (c) the time-varying $w(z)$ is found to be for $\sigma_8 = 0.74$: $(M_c; w_0, w_a)=(1.36; -0.92, -1.31)$ and $(M_c; w_0, w_a)=(1.38; -0.89, -1.21)$ for $g(z_s)$ and $g^c(z_s)$ respectively.