Detecting Features in the Dark Energy Equation of State: A Wavelet Approach

Details Detecting Features in the Dark Energy Equation of State: A Wavelet Approach Detecting Features in the Dark Energy Equation of State: A Wavelet Approach

2009-12-24

arxiv.org/abs/0912.4843v2

JCAP04(2010)007

Astronomy and Astrophysics

Astrophysics

Cosmology and Extragalactic Astrophysics

8 pages, 6 figures. Minor changes from v1, matches the version published in JCAP.

Scientific paper

10.1088/1475-7516/2010/04/007

We study the utility of wavelets for detecting the redshift evolution of the dark energy equation of state w(z) from the combination of supernovae, CMB and BAO data. We show that local features in w, such as bumps, can be detected efficiently using wavelets. To demonstrate, we first generate a mock supernovae (SNe) data sample for a SNAP-like survey with a bump feature in w(z) hidden in, then successfully discover it by performing a blind wavelet analysis. We also apply our method to analyze the recently released "Constitution" SNe data, combined with WMAP and BAO from SDSS, and find weak hints of dark energy dynamics. Namely, we find that models with w(z) < -1 for 0.2 < z < 0.5, and w(z)> -1 for 0.5 < z <1, are mildly favored at 95% confidence level. This is in good agreement with several recent studies using other methods, such as redshift binning with principal component analysis (PCA) (e.g. Zhao and Zhang, arXiv:0908.1568)

Affiliated with

Also associated with

No associations

Rating

Detecting Features in the Dark Energy Equation of State: A Wavelet Approach 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 Detecting Features in the Dark Energy Equation of State: A Wavelet Approach, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Detecting Features in the Dark Energy Equation of State: A Wavelet Approach will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-555563