SearcharxivSearch

arXiv subjects

Soroush Amirhashchi

Publications and source records attributed to Soroush Amirhashchi.

3 recordsLinked to original sources

Recovering $Λ$CDM Model From a Cosmographic Study

Using the mathematical definitions of deceleration and jerk parameters we obtain a general differential equation for squared Hubble parameter. For a constant jerk, this differential equation leads to an exact function for Hubble parameter. By the aid of this exact Hubble function we can exactly reconstruct any other cosmographic parameters. We also obtained a general function for transition redshift as well as spacetime curvature. Our derived functions clearly impose a lower limit on the jerk parameter which is $j_{min}\geq-0.125$. Moreover, we found that the jerk parameter indicates the geometry of the spacetime i.e any deviation from $j=1$ imply to a non-flat spacetime. In other word $j\neq 1$ reefers to a dynamical, time varying, dark energy. From obtained Hubble function we recover the analogue of $Λ$CDM model. To constrain cosmographic parameters as well as transition redshift and spacetime curvature of the recovered $Λ$CDM model, we used Metropolis-Hasting algorithm to perform Monte Carlo Markov Chain analysis by using observational Hubble data obtained from cosmic chronometric (CC) technique, BAO data, Pantheon compilation of Supernovae type Ia, and their joint combination. The only free parameters are $H$, $A(Ω_{m})$ and $j$. From joint analysis we obtained $H_{0}=69.9\pm 1.7$, $A(\simΩ_{0m})=0.279^{+0.013}_{-0.017}$, $B(\simΩ_{0X})=0.721^{+0.017}_{-0.013}$, $j_{0}=1.038^{+0.061}_{-0.023}$ and $z_{t}=0.706^{+0.031}_{-0.034}$.

astro-ph.CO

Current Constraints on Anisotropic and Isotropic Dark Energy Models

We use Gaussian processes in combination with MCMC method to place constraints on cosmological parameters of three dark energy models including flat and curved FRW and Bianchi type I spacetimes. To do so, we use recently compiled 36 measurements of the Hubble parameter $H(z)$ in the redshifts intermediate $0.07\leqslant z \leqslant 2.36$. Moreover, we use these models to estimate the redshift of the deceleration-acceleration transition. We consider two Gaussian priors for current value of the Hubble constant i.e $H_{0}=73\pm1.74 (68\pm 2.8)$ km/s/Mpc to investigate the effect of the assumed $H_{0}$ on our parameters estimations. For statistical analysis we use NUTS sampler which is an extension of Hamiltonian Monte Carlo algorithm to generate MCMC chains for parameters of dark energy models. To compare the considered cosmologies, we perform Akaike information criterion (AIC) and Bayes factor ($Ψ$). In general, when we compared our results with 9 years WMAP as well as Planck 2015 Collaboration, we found that Bianchi type I model is slightly fits better to the observational Hubble data with respect to the non-flat FRW model.

astro-ph.CO

Modelling Joint Lifetimes of Couples by Using Bivariate Phase-type Distributions

Many insurance products and pension plans provide benefits which are related to couples, and thus under influence of the survival status of two lives. Some studies show the future lifetime of couples is correlated. Three reasons are available to confirm this fact: (1) catastrophe events that affect both lives, (2) the impact of spousal death and (3) the long-term association due to common life style. Dependence between lifetimes of couples could have a financial impact on insurance companies and pension plans providers. In this paper, we use a health index called physiological age in a Markov process context by that we model aging process of joint and last survivor statuses. Under this model, future joint lifetime of couples follows a bivariate phase-type distribution. The model has physical interpretation and closed-form expressions for actuarial quantities and owns tractable computation for the other ones. We use the model to pricing products relevant to couples annuities and life insurances.

stat.AP