Self-Calibrated Cluster Counts as a Probe of Primordial Non-Gaussianity

Astronomy and Astrophysics – Astrophysics – Cosmology and Extragalactic Astrophysics

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

4 pages, 3 figures, accepted for publication in PRL

Scientific paper

10.1103/PhysRevLett.102.211301

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 \sigma(f_NL) \sim 8, which is competitive with forecasted constraints from next-generation cosmic microwave background experiments.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Self-Calibrated Cluster Counts as a Probe of Primordial Non-Gaussianity does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Self-Calibrated Cluster Counts as a Probe of Primordial Non-Gaussianity, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Self-Calibrated Cluster Counts as a Probe of Primordial Non-Gaussianity will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-455054

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.