Abstract Details
| Name: Ranbir Sharma Affiliation: IISER Mohali, Mohali Punjab Conference ID: ASI2018_1647 Title : Principal Component Analysis and Reconstruction of Dark Energy Authors and Co-Authors : H K Jassal; IISER Mohali, Mohali Punjab Abstract Type : Poster Abstract Category : General Relativity and Cosmology Abstract : Observation has confirmed that present Universe is accelerating and this acceleration is driven by dark energy. Dark energy can either be a cosmological constant, which is a simple explantion, or it can be a barotropic fluid or canonical or noncanonical scalar fields. The equation of state of dark energy may, in general, vary with time. Typically, a functional form is assumed for a fluid model of dark energy, and the parameters are constrained using different observations. In this work, using the Principal Component Analysis (PCA), we attempt to reconstruct the Equation of state of Dark Energy using different datasets. For this analysis, we use Supernova types Ia data and direct measurements of Hubble constant data-set. We employ two approaches, one is the direct reconstruction of the equation of state and other is the reconstruction of Hubble parameter or distance modulus which indirectly gives the equation of state parameter of dark energy. We test these approaches with the simulated LCDM model. Our initial results for the SNIa, H(z)-z data shows that the deviation from LCDM model is very small. This result is independent of the datasets. |