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We introduce genetic algorithms as a means to analyze supernovae type Ia data and extract model-independent constraints on the evolution of the Dark Energy equation of state. Specifically, we will give a brief introduction to the genetic…

宇宙学与河外天体物理 · 物理学 2010-01-15 C. Bogdanos , Savvas Nesseris

To determine the nature of dark energy from observational data, it is important that we use model-independent and optimal methods. We should probe dark energy using its density (allowed to be a free function of cosmic time) instead of its…

天体物理学 · 物理学 2009-11-10 Yun Wang

We compare four different methods that can be used to analyze the type Ia supernovae (SnIa) data, ie to use piecewise-constant functions in terms of: the dark energy equation of state $w(z)$, the deceleration parameter $q(z)$, the Hubble…

宇宙学与河外天体物理 · 物理学 2014-09-24 Savvas Nesseris , Domenico Sapone

This work uses a combination of a variational auto-encoder and generative adversarial network to compare different dark energy models in light of observations, e.g., the distance modulus from type Ia supernovae. The network finds an…

宇宙学与河外天体物理 · 物理学 2019-10-15 Shi-Yu Li , Yun-Long Li , Tong-Jie Zhang

Since the number of dark energy models have rapidly increased over the last years, some model-independent methods have been developed in order to analyse the cosmological evolution in a phenomenological way. In this manuscript, we analyse…

广义相对论与量子宇宙学 · 物理学 2016-04-28 Diego Saez-Gomez

Detecting dark energy dynamics is the main quest of current dark energy research. Addressing the issue demands a fully consistent analysis of CMB, large scale structure and SN-Ia data with multi-parameter freedom valid for all redshifts.…

天体物理学 · 物理学 2008-11-26 P. S. Corasaniti , M. Kunz , D. Parkinson , E. J. Copeland , B. A. Bassett

Observing dark energy dynamics is the most important aspect of the dark energy research. In this paper we perform an analysis of the constraints on the property of dark energy from the current astronomical observations. We pay particular…

天体物理学 · 物理学 2009-11-13 Jun-Qing Xia , Gong-Bo Zhao , Bo Feng , Hong Li , Xinmin Zhang

A major quest in cosmology is the understanding of the nature of dark energy. It is now well known that a combination of cosmological probes is required to break the underlying degeneracies on cosmological parameters. In this paper, we…

天体物理学 · 物理学 2009-11-11 Ch. Yeche , A. Ealet , A. Refregier , C. Tao , A. Tilquin , J. -M. Virey , D. Yvon

Weak lensing convergence statistics is a powerful tool to probe dark energy. Dark energy plays an important role to the structure formation and the effects can be detected through the convergence power spectrum, bi-spectrum etc. One of the…

宇宙学与河外天体物理 · 物理学 2017-09-26 Bikash R. Dinda

Model independent reconstructions of dark energy have received some attention. The approach that addresses the reconstruction of the dimensionless coordinate distance and its two first derivatives using a polynomial fit in different…

宇宙学与河外天体物理 · 物理学 2012-10-16 Ruth Lazkoz , Vincenzo Salzano , Irene Sendra

We use a principal component approach to contrast different kinds of probes of dark energy, and to emphasize how an array of probes can work together to constrain an arbitrary equation of state history w(z). We pay particular attention to…

天体物理学 · 物理学 2010-01-06 Robert G. Crittenden , Levon Pogosian , Gong-Bo Zhao

In the proposed model with interaction between dark energy and dark matter, we consider cosmological scenarios with different equations of state ($w_d$) for dark energy. For both constant and variable equation of state, we analyze solutions…

广义相对论与量子宇宙学 · 物理学 2017-10-18 Supriya Pan , German S. Sharov

Using various latest cosmological datasets including Type-Ia supernovae, cosmic microwave background radiation, baryon acoustic oscillations, and estimations of the Hubble parameter, we test some dark energy models with parameterized…

宇宙学与河外天体物理 · 物理学 2022-12-28 Jing Yang , Xin-Yan Fan , Chao-Jun Feng , Xiang-Hua Zhai

The accelerated expansion of the Universe is one of the main discoveries of the past decades, indicating the presence of an unknown component: the dark energy. Evidence of its presence is being gathered by a succession of observational…

宇宙学与河外天体物理 · 物理学 2021-04-13 V. Motta , Miguel A. García-Aspeitia , A. Hernández-Almada , J. Magaña , Tomás Verdugo

A model-independent method to study the possible evolution of dark energy is presented. Optimal estimates of the dark energy equation of state w are obtained from current supernovae data from Riess et al. (2004) following a principal…

天体物理学 · 物理学 2007-05-23 Christian Stephan-Otto

An important issue in cosmology is reconstructing the effective dark energy equation of state directly from observations. With so few physically motivated models, future dark energy studies cannot only be based on constraining a dark energy…

宇宙学与河外天体物理 · 物理学 2014-11-20 Chris Clarkson , Caroline Zunckel

Observation of thousands of type Ia supernovae should offer the most direct approach to probe the dark energy content of the universe. This will be undertaken by future large ground-based surveys followed by a space mission (SNAP/JDEM). We…

天体物理学 · 物理学 2009-11-10 J. -M. Virey , P. Taxil , A. Tilquin , A. Ealet , D. Fouchez , C. Tao

In this paper, we compare some popular dark energy models under the assumption of a flat universe by using the latest observational data including the type Ia supernovae Constitution compilation, the baryon acoustic oscillation measurement…

宇宙学与河外天体物理 · 物理学 2015-03-13 Miao Li , Xiao-Dong Li , Xin Zhang

A data-driven approach to elucidating the nature of the dark energy, in the form of a joint analysis of a full set of cosmological parameters, utilizing all available observational data is proposed. A parameterization of a generalized dark…

天体物理学 · 物理学 2007-05-23 Greg Huey

The accelerating expansion of the universe suggests that an unknown component with strongly negative pressure, called dark energy, currently dominates the dynamics of the universe. Such a component makes up ~70% of the energy density of the…

天体物理学 · 物理学 2009-11-07 Eric V. Linder , Dragan Huterer
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