Minimal model dependent constraints on cosmological nuisance parameters and cosmic curvature from combinations of cosmological data

Abstract

The study of cosmic expansion history and the late time cosmic acceleration from observational data depends on the nuisance parameters associated with the data. For example, the absolute peak magnitude of type Ia supernova associated with the type Ia supernova observations and the comoving sound horizon at the baryon drag epoch associated with baryon acoustic oscillation observations are two nuisance parameters. The nuisance parameters associated with the the gamma-ray bursts data are also considered. These nuisance parameters are constrained by combining the cosmological observations using the Gaussian process regression method with minimal model dependence. The bounds obtained in this method can be used as the prior for the data analysis while considering the observational data accordingly. Along with these nuisance parameters, the cosmic curvature density parameter is also constrained simultaneously. We find that the constraints on the cosmic curvature density parameter show no significant deviations from a flat Universe.

18 pages, 3 figures, 5 tables

References in corpus (16)

• Dynamics of dark energy
• Challenges for $\Lambda$CDM: An update
• Cosmic Distances Calibrated to 1% Precision with Gaia EDR3 Parallaxes and Hubble Space Telescope Photometry of 75 Milky Way Cepheids Confirm Tension with LambdaCDM
• Aspects of the cosmological "coincidence problem"
• Gaussian Process Cosmography
• Modified gravity models of dark energy
• To H0 or not to H0?
• A parametric model for dark energy
• Theoretical Models of Dark Energy
• Does Hubble Tension Signal a Breakdown in FLRW Cosmology?
• Do gamma-ray burst measurements provide a useful test of cosmological models?
• Reconstructing the Cosmic Expansion History up to Redshift z=6.29 with the Calibrated Gamma-Ray Bursts
• Model-independent constraints on cosmic curvature: implication from updated Hubble diagram of high-redshift standard candles
• Cosmic expansion parametrization: Implication for curvature and ${\text{H}}_0$ tension
• Measuring the sound horizon and absolute magnitude of SNIa by maximizing the consistency between low-redshift data sets
• Model-independent constraints on cosmic curvature: implication from the future gravitational wave observation DECIGO

Cited by in corpus (9)

• Model-agnostic assessment of dark energy after DESI DR1 BAO
• Non-parametric reconstruction of cosmological observables using Gaussian Processes Regression
• LADDER: Revisiting the Cosmic Distance Ladder with Deep Learning Approaches and Exploring its Applications
• Analytical Gaussian Process Cosmography: Unveiling Insights into Matter-Energy Density Parameter at Present
• Checking the second law at cosmic scales
• A possible late-time transition of $M_B$ inferred via neural networks
• Calibration-independent consistency test of DESI DR2 BAO and SNIa
• Model-independent Gamma-Ray Bursts Constraints on Cosmological Models Using Machine Learning
• A comprehensive data-driven odyssey to explore the equation of state of dark energy