Model Independent Reconstruction of the Expansion History of the Universe and the Properties of Dark Energy
arXiv:astro-ph/0703034 · doi:10.1111/j.1365-2966.2007.12175.x
Abstract
We have improved upon the method of smoothing supernovae data to reconstruct the expansion history of the universe, h(z), using two latest datasets, Gold and SNLS. The reconstruction process does not employ any parameterization and is independent of any dark energy model. The reconstructed h(z) is used to derive the distance factor "A" up to redshift 0.35 and the results are compared with the given value of "A" from detection of baryon acoustic oscillation peak (BAO). We find very good agreement between supernovae observations and the results from BAO for Ω_{0m} \approx 0.276 \pm 0.023. The estimated values of Ω_{0m} are completely model-independent and are only based on observational data. The derived values of Ω_{0m} are then used to reconstruct the equation of state of dark energy, w(z). Using our smoothing method we can demonstrate that while SNLS data are in very good agreement with LCDM, the Gold sample slightly prefers evolving dark energy. We also show that proper estimation of the equation of state of dark energy at the high redshifts would be impossible at the current status of observations.
9 pages, 9 figures, references added, matches MNRAS published version
References in corpus (7)
- Wilkinson Microwave Anisotropy Probe (WMAP) Three Year Results: Implications for Cosmology
- Dynamics of dark energy
- Reconstructing Dark Energy
- Reconstruction of the deceleration parameter and the equation of state of dark energy
- Dipole of the luminosity distance: a direct measure of H(z)
- Dynamical behavior of generic quintessence potentials: constraints on key dark energy observables
- A model-independent dark energy reconstruction scheme using the geometrical form of the luminosity-distance relation
Cited by in corpus (45)
- Two new diagnostics of dark energy
- The CosmoVerse White Paper: Addressing observational tensions in cosmology with systematics and fundamental physics
- Gaussian Process Cosmography
- DESI 2024: Reconstructing Dark Energy using Crossing Statistics with DESI DR1 BAO data
- Strong Lens Time Delay Challenge: II. Results of TDC1
- Reconstructing the interaction between dark energy and dark matter using Gaussian Processes
- A new null diagnostic customized for reconstructing the properties of dark energy from BAO data
- Estimation of Primordial Spectrum with post-WMAP 3 year data
- How to use GP: Effects of the mean function and hyperparameter selection on Gaussian Process regression
- Reconstructing the Cosmic Expansion History up to Redshift z=6.29 with the Calibrated Gamma-Ray Bursts
- Hubble diagram at higher redshifts: Model independent calibration of quasars
- Crossing Statistic: Reconstructing the Expansion History of the Universe
- Testing cosmic opacity from SNe Ia and Hubble parameter through three cosmological-model-independent methods
- Cosmology Intertwined: A Review of the Particle Physics, Astrophysics, and Cosmology Associated with the Cosmological Tensions and Anomalies
- Can high-redshift Hubble diagrams rule out the standard model of cosmology in the context of cosmographic method?
- FLRW cosmology with EDSFD parametrization
- Searching for the Evidence of Dynamical Dark Energy
- Model-independent determination of the cosmic expansion rate. I. Application to type-Ia supernovae
- Phenomenological Reconstruction of Teleparallel Gravity
- Constraining the dark energy and smoothness-parameter with supernovae
- Be It Unresolved: Measuring Time Delays from Lensed Supernovae
- Model-independent constraints on Type Ia supernova light-curve hyper-parameters and reconstructions of the expansion history of the Universe
- Dark energy reconstructions combining BAO data with galaxy clusters and intermediate redshift catalogs
- Fast and Reliable Time Delay Estimation of Strong Lens Systems Using Method of Smoothing and Cross-Correlation
- Constraints on dark energy from baryon acoustic peak and galaxy cluster gas mass measurements
- Identifying lensed quasars and measuring their time-delays from unresolved light curves
- Model-independent estimation of the cosmography parameters using cosmic chronometers
- Reconstruction of cosmological matter perturbations in Modified Gravity
- Probing the cosmic acceleration history and the properties of dark energy from the ESSENCE supernova data with a model independent method
- A possible late-time transition of inferred via neural networks
- On The Distribution of Bayesian Evidences
- Revisiting dark energy models using differential ages of galaxies
- Dark energy reconstruction analysis with artificial neural networks: Application on simulated Supernova Ia data from Rubin Observatory
- Breaking the baryon-dark matter degeneracy in a model-independent way through the Sunyaev-Zeldovich effect
- Non-parametric modeling of the cosmological data, base on the distribution
- Litmus tests of the flat CDM model and model-independent measurement of with LSST and DESI
- An Analysis of Variance of the Pantheon+ Dataset: Systematics in the Covariance Matrix?
- Parameterized Deceleration in Gravity: A Logarithmic Approach
- Genetic algorithms and the analysis of SnIa data
- Star-Crossed Labours: Checking Consistency Between Current Supernovae Compilations
- A novel approach for calculating galaxy rotation curves using spaxel cross-correlation and iterative smoothing
- Results from Hubble parameter data: oscillating dark energy?
- Bayesian vs Frequentist: Comparing Bayesian model selection with a frequentist approach using the iterative smoothing method
- EFT of Dark Energy with Cosmic Chronometers: Reconstructing Background EFT Functions
- Model independent approach for calculating galaxy rotation curves for low MaNGA galaxies