Precision cosmology with voids: definition, methods, dynamics

Astronomy and Astrophysics – Astrophysics – Cosmology and Extragalactic Astrophysics

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

19 pages, 8 figures, 1 table, accepted by MNRAS

Scientific paper

10.1111/j.1365-2966.2010.16197.x

We propose a new definition of cosmic voids based on methods of Lagrangian orbit reconstruction as well as an algorithm to find them in actual data called DIVA. Our technique is intended to yield results which can be modeled sufficiently accurately to create a new probe of precision cosmology. We then develop an analytical model of the ellipticity of voids found by our method based on Zel'dovich approximation. We measure in N-body simulation that this model is precise at the 0.1% level for the mean ellipticity of voids of size greater than ~4 Mpc/h. We estimate that at this scale, we are able to predict the ellipticity with an accuracy of 0.02. Finally, we compare the distribution of void shapes in N-body simulation for two different equations of state w of the dark energy. We conclude that our method is far more accurate than Eulerian methods and is therefore promising as a precision probe of dark energy phenomenology.

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

Precision cosmology with voids: definition, methods, dynamics 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 Precision cosmology with voids: definition, methods, dynamics, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Precision cosmology with voids: definition, methods, dynamics will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-707498

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