Fisher Matrix Decomposition for Dark Energy Prediction

Astronomy and Astrophysics – Astrophysics – Cosmology and Extragalactic Astrophysics

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

10 pages, 7 figures

Scientific paper

10.1111/j.1365-2966.2009.15263.x

Within the context of constraining an expansion of the dark energy equation of state w(z) we show that the eigendecomposition of Fisher matrices is sensitive to both the maximum order of the expansion and the basis set choice. We investigate the Fisher matrix formalism in the case that a particular function is expanded in some basis set. As an example we show results for an all sky weak lensing tomographic experiment. We show that the set of eigenfunctions is not unique and that the best constrained functions are only reproduced accurately at very higher order N > 100, a tophat basis set requires an even higher order. We show that the common approach used for finding the marginalised eigenfunction errors is sensitive to the choice of non-w(z) parameters and priors. The eigendecomposition of Fisher matrices is a potentially useful tool that can be used to determine the predicted accuracy with which an experiment could constrain w(z). It also allows for the reconstruction of the redshift sensitivity of the experiment to changes in w(z). However the technique is sensitive to both the order and the basis set choice. Publicly available code is available as part of iCosmo at http://www.icosmo.org .

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

Fisher Matrix Decomposition for Dark Energy Prediction 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 Fisher Matrix Decomposition for Dark Energy Prediction, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Fisher Matrix Decomposition for Dark Energy Prediction will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-444252

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