An optimal basis system for cosmology: data analysis and new parameterisation

Astronomy and Astrophysics – Astrophysics – Cosmology and Extragalactic Astrophysics

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

7 pages, 5 figures, 1 table, replaced to match version accepted by A&A

Scientific paper

10.1051/0004-6361/200912451

We define an optimal basis system into which cosmological observables can be decomposed. The basis system can be optimised for a specific cosmological model or for an ensemble of models, even if based on drastically different physical assumptions. The projection coefficients derived from this basis system, the so-called features, provide a common parameterisation for studying and comparing different cosmological models independently of their physical construction. They can be used to directly compare different cosmologies and study their degeneracies in terms of a simple metric separation. This is a very convenient approach, since only very few realisations have to be computed, in contrast to Markov-Chain Monte Carlo methods. Finally, the proposed basis system can be applied to reconstruct the Hubble expansion rate from supernova luminosity distance data with the advantage of being sensitive to possible unexpected features in the data set. We test the method both on mock catalogues and on the SuperNova Legacy Survey data set.

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

An optimal basis system for cosmology: data analysis and new parameterisation 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 An optimal basis system for cosmology: data analysis and new parameterisation, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and An optimal basis system for cosmology: data analysis and new parameterisation will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-701209

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