Self-Calibrated Cluster Counts as a Probe of Primordial Non-Gaussianity
arXiv:0905.0920 · doi:10.1103/PhysRevLett.102.211301
Abstract
We show that the ability to probe primordial non-Gaussianity with cluster counts is drastically improved by adding the excess variance of counts which contains information on the clustering. The conflicting dependences of changing the mass threshold and including primordial non-Gaussianity on the mass function and biasing indicate that the self-calibrated cluster counts well break the degeneracy between primordial non-Gaussianity and the observable-mass relation. Based on the Fisher matrix analysis, we show that the count variance improves constraints on f_NL by more than an order of magnitude. It exhibits little degeneracy with dark energy equation of state. We forecast that upcoming Hyper Suprime-cam cluster surveys and Dark Energy Survey will constrain primordial non-Gaussianity at the level σ(f_NL) \sim 8, which is competitive with forecasted constraints from next-generation cosmic microwave background experiments.
4 pages, 3 figures, accepted for publication in PRL
References in corpus (10)
- Five-Year Wilkinson Microwave Anisotropy Probe (WMAP) Observations: Cosmological Interpretation
- Five-Year Wilkinson Microwave Anisotropy Probe (WMAP) Observations: Likelihoods and Parameters from the WMAP data
- The imprints of primordial non-gaussianities on large-scale structure: scale dependent bias and abundance of virialized objects
- Effects of Scale-Dependent Non-Gaussianity on Cosmological Structures
- Detection of primordial non-Gaussianity (fNL) in the WMAP 3-year data at above 99.5% confidence
- Primordial non-gaussianity, statistics of collapsed objects, and the Integrated Sachs-Wolfe effect
- Limits on Primordial Non-Gaussianity from Minkowski Functionals of the WMAP Temperature Anisotropies
- Impact of Secondary non-Gaussianities on the Search for Primordial Non-Gaussianity with CMB Maps
- Photometric Redshift Requirements for Self-Calibration of Cluster Dark Energy Studies
- The Effects of Halo Assembly Bias on Self-Calibration in Galaxy Cluster Surveys
Cited by in corpus (27)
- Cosmological Parameters from Observations of Galaxy Clusters
- The Large Scale Bias of Dark Matter Halos: Numerical Calibration and Model Tests
- Primordial non-Gaussianity and Bispectrum Measurements in the Cosmic Microwave Background and Large-Scale Structure
- The X-ray cluster survey with eROSITA: forecasts for cosmology, cluster physics and primordial non-Gaussianity
- Mass Function Predictions Beyond LCDM
- Combining cluster observables and stacked weak lensing to probe dark energy: Self-calibration of systematic uncertainties
- Constraining Running Non-Gaussianity
- The impact of massive neutrinos on the abundance of massive clusters
- 1-loop Perturbative Corrections to the Matter and Galaxy Bispectrum with non-Gaussian Initial Conditions
- The Non-Gaussian Halo Mass Function with fNL, gNL and tauNL
- Combining clustering and abundances of galaxy clusters to test cosmology and primordial non-Gaussianity
- Primordial non-Gaussianity from the covariance of galaxy cluster counts
- Primordial non-Gaussianity in the large scale structure of the Universe
- The potential of X-ray cluster surveys to constrain primordial non-Gaussianity
- Constraining primordial non-Gaussianity via a multitracer technique with surveys by Euclid and Square Kilometre Array
- A Study of High-Order Non-Gaussianity with Applications to Massive Clusters and Large Voids
- The mass-concentration relationship of virialized halos and its impact on cosmological observables
- X-ray Cluster Constraints on Non-Gaussianity
- Imprints of primordial non-Gaussianities in X-ray and SZ signals from galaxy clusters
- What do cluster counts really tell us about the Universe?
- Constraints on primordial non-Gaussianity from Galaxy-CMB lensing cross-correlation
- Constraining the mass-concentration relation through weak lensing peak function
- X-ray cluster cosmology
- Constraints on Non-Gaussianity from Sunyaev--Zeldovich Cluster Surveys
- Toward optimal cluster power spectrum analysis
- Higher moments of primordial non-Gaussianity and N-body simulations
- Built-in precision: Improving cluster cosmology through the self-calibration of a galaxy cluster sample