A parametric reconstruction of the deceleration parameter
Abstract The present work is based on a parametric reconstruction of the deceleration parameter q(z) in a model for the spatially flat FRW universe filled with dark energy and non-relativistic matter. In cosmology, the parametric reconstruction technique deals with an attempt to build up a model by...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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SpringerOpen
2017-07-01
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| Series: | European Physical Journal C: Particles and Fields |
| Online Access: | http://link.springer.com/article/10.1140/epjc/s10052-017-5066-4 |
| _version_ | 1819211427547709440 |
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| author | Abdulla Al Mamon Sudipta Das |
| author_facet | Abdulla Al Mamon Sudipta Das |
| author_sort | Abdulla Al Mamon |
| collection | DOAJ |
| description | Abstract The present work is based on a parametric reconstruction of the deceleration parameter q(z) in a model for the spatially flat FRW universe filled with dark energy and non-relativistic matter. In cosmology, the parametric reconstruction technique deals with an attempt to build up a model by choosing some specific evolution scenario for a cosmological parameter and then estimate the values of the parameters with the help of different observational datasets. In this paper, we have proposed a logarithmic parametrization of q(z) to probe the evolution history of the universe. Using the type Ia supernova, baryon acoustic oscillation and the cosmic microwave background datasets, the constraints on the arbitrary model parameters $$q_{0}$$ q 0 and $$q_{1}$$ q 1 are obtained (within $$1\sigma $$ 1 σ and $$2\sigma $$ 2 σ confidence limits) by $$\chi ^{2}$$ χ 2 -minimization technique. We have then reconstructed the deceleration parameter, the total EoS parameter $$\omega _\mathrm{tot}$$ ω tot , the jerk parameter and have compared the reconstructed results of q(z) with other well-known parametrizations of q(z). We have also shown that two model selection criteria (namely, the Akaike information criterion and Bayesian information criterion) provide a clear indication that our reconstructed model is well consistent with other popular models. |
| first_indexed | 2024-12-23T06:26:54Z |
| format | Article |
| id | doaj.art-9513e1b3c8b6415bb8b75b6f5e766a67 |
| institution | Directory Open Access Journal |
| issn | 1434-6044 1434-6052 |
| language | English |
| last_indexed | 2024-12-23T06:26:54Z |
| publishDate | 2017-07-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | European Physical Journal C: Particles and Fields |
| spelling | doaj.art-9513e1b3c8b6415bb8b75b6f5e766a672022-12-21T17:57:02ZengSpringerOpenEuropean Physical Journal C: Particles and Fields1434-60441434-60522017-07-017771910.1140/epjc/s10052-017-5066-4A parametric reconstruction of the deceleration parameterAbdulla Al Mamon0Sudipta Das1Manipal Centre for Natural Sciences, Manipal UniversityDepartment of Physics, Visva-BharatiAbstract The present work is based on a parametric reconstruction of the deceleration parameter q(z) in a model for the spatially flat FRW universe filled with dark energy and non-relativistic matter. In cosmology, the parametric reconstruction technique deals with an attempt to build up a model by choosing some specific evolution scenario for a cosmological parameter and then estimate the values of the parameters with the help of different observational datasets. In this paper, we have proposed a logarithmic parametrization of q(z) to probe the evolution history of the universe. Using the type Ia supernova, baryon acoustic oscillation and the cosmic microwave background datasets, the constraints on the arbitrary model parameters $$q_{0}$$ q 0 and $$q_{1}$$ q 1 are obtained (within $$1\sigma $$ 1 σ and $$2\sigma $$ 2 σ confidence limits) by $$\chi ^{2}$$ χ 2 -minimization technique. We have then reconstructed the deceleration parameter, the total EoS parameter $$\omega _\mathrm{tot}$$ ω tot , the jerk parameter and have compared the reconstructed results of q(z) with other well-known parametrizations of q(z). We have also shown that two model selection criteria (namely, the Akaike information criterion and Bayesian information criterion) provide a clear indication that our reconstructed model is well consistent with other popular models.http://link.springer.com/article/10.1140/epjc/s10052-017-5066-4 |
| spellingShingle | Abdulla Al Mamon Sudipta Das A parametric reconstruction of the deceleration parameter European Physical Journal C: Particles and Fields |
| title | A parametric reconstruction of the deceleration parameter |
| title_full | A parametric reconstruction of the deceleration parameter |
| title_fullStr | A parametric reconstruction of the deceleration parameter |
| title_full_unstemmed | A parametric reconstruction of the deceleration parameter |
| title_short | A parametric reconstruction of the deceleration parameter |
| title_sort | parametric reconstruction of the deceleration parameter |
| url | http://link.springer.com/article/10.1140/epjc/s10052-017-5066-4 |
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