Biased Cosmology: Pivots, Parameters, and Figures of Merit
arXiv:astro-ph/0604280 · doi:10.1016/j.astropartphys.2006.05.004
Abstract
In the quest for precision cosmology, one must ensure that the cosmology is accurate as well. We discuss figures of merit for determining from observations whether the dark energy is a cosmological constant or dynamical, with special attention to the best determined equation of state value, at the ``pivot'' or decorrelation redshift. We show this is not necessarily the best lever on testing consistency with the cosmological constant, and moreover is subject to bias. The standard parametrization of w(a)=w_0+w_a(1-a) by contrast is quite robust, as tested by extensions to higher order parametrizations and modified gravity. Combination of complementary probes gives strong immunization against inaccurate, but precise, cosmology.
arXiv comment9 pages, 6 figures; minor changes (cooler Fig. 1) to match Astroparticle Physics version
References in corpus (21)
- 4D Gravity on a Brane in 5D Minkowski Space
- Exploring the Expansion History of the Universe
- Accelerated Universe from Gravity Leaking to Extra Dimensions
- Cosmic Growth History and Expansion History
- Probing the dark energy: methods and strategies
- Future Supernovae observations as a probe of dark energy
- Crossing the Phantom Divide: Dark Energy Internal Degrees of Freedom
- Measuring the Equation-of-state of the Universe: Pitfalls and Prospects
- Calibrating the Nonlinear Matter Power Spectrum: Requirements for Future Weak Lensing Surveys
- The Paths of Quintessence
- Safety in numbers: Gravitational Lensing Degradation of the Luminosity Distance-Redshift Relation
- Effects of Systematic Uncertainties on the Supernova Determination of Cosmological Parameters
- Probing Gravitation, Dark Energy, and Acceleration
- Can luminosity distance measurements probe the equation of state of dark energy
- Growth Rate of Large Scale Structure as a Powerful Probe of Dark Energy
- No evidence for Dark Energy Metamorphosis ?
- Strong Gravitational Lensing and Dark Energy Complementarity
- The Redshift Sensitivities of Dark Energy Surveys
- Reconstructing and Deconstructing Dark Energy
- Is Dark Energy Dynamical? Prospects for an Answer
- Studying Dark Energy with Galaxy Cluster Surveys
Cited by in corpus (22)
- Parameterized Beyond-Einstein Growth
- Separating Dark Physics from Physical Darkness: Minimalist Modified Gravity vs. Dark Energy
- The Carnegie Supernova Project: First Near-Infrared Hubble Diagram to z~0.7
- Predicted and observed evolution in the mean properties of Type Ia supernovae with redshift
- Future Constraints on Dynamical Dark-Energy using Gravitational-Wave Standard Sirens
- Constraining neutrino mass and extra relativistic degrees of freedom in dynamical dark energy models using Planck 2015 data in combination with low-redshift cosmological probes: basic extensions to CDM cosmology
- On the Use of Fast Radio Burst Dispersion Measures as Distance Measures
- Comparison of Recent SnIa datasets
- Cosmological parameter extraction and biases from type Ia supernova magnitude evolution
- To Bin or Not To Bin: Decorrelating the Cosmic Equation of State
- Tainted Evidence: Cosmological Model Selection vs. Fitting
- Describing variations of the Fisher-matrix across parameter space
- Photometric Supernovae Redshift Systematics Requirements
- ISiTGR: Testing deviations from GR at cosmological scales including dynamical dark energy, massive neutrinos, functional or binned parametrizations, and spatial curvature
- Probing early structure and model-independent neutrino mass with high-redshift CMB lensing mass maps
- Will Gravitational Wave Sirens Determine the Hubble Constant?
- Stability, dark energy parameterization and swampland aspect of Bianchi Type- cosmological models with f(R, T)-gravity
- Generating and Analyzing Constrained Dark Energy Equations of State and Systematics Functions
- Information geometry in cosmological inference problems
- Optimising tomography for weak gravitational lensing surveys
- Misinterpreting Modified Gravity as Dark Energy: a Quantitative Study
- Optimizing Observational Strategy for Future Fgas Constraints