The correlation function of galaxy clusters.Measuring the equation of state w and the scatter in the mass richness relation

Astronomy and Astrophysics – Astrophysics

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

Scientific paper

Cluster of galaxies are becoming a powerful tool for constraining the cosmological parameters. The measurement of cosmological parameters by counting the numbers of clusters as a function of redshift is a key project of the Dark Energy Survey. The use of clusters as a cosmological probe depends on our understanding of the mass of the clusters. We present a method to constrain the equation of the state w and the scatter in the mass richness relation by making use of the bias measured in the correlation function. First we use this method to constrain only the scatter for the maxBCG sample of optically selected clusters in the SDSS data. Finally, we also present the potential to measure both parameters with this method using the dark matter halos cosmological simulations with a DES volumen.

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

The correlation function of galaxy clusters.Measuring the equation of state w and the scatter in the mass richness relation 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 The correlation function of galaxy clusters.Measuring the equation of state w and the scatter in the mass richness relation, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and The correlation function of galaxy clusters.Measuring the equation of state w and the scatter in the mass richness relation will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-740453

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