Astronomy and Astrophysics – Astrophysics
Scientific paper
2002-10-09
Mon.Not.Roy.Astron.Soc.341:100,2003
Astronomy and Astrophysics
Astrophysics
Matches version to appear in 1st May edition of MNRAS (vol. 341, pp.100-118)
Scientific paper
10.1046/j.1365-8711.2003.06237.x
We perform a cosmic shear analysis of the COMBO-17 survey -- a unique dataset with shear quality R-band imaging and accurate photometric redshift estimates (dz=0.05) for ~90% of galaxies to R=24.0. We undertake a full maximum likelihood analysis to measure the weak lensing power spectra, Cl^kk, Cl^bb & Cl^kb from l=400 to l=10^4. We find a strong measurement of the convergence power over five fields. The b-field has a much lower significance, indicating our data is free of major systematics, while the cross-correlation of k & b is consistent with zero. We have also calculated the shear correlation functions and variance over a range of scales between 0.5 and 20 arcmin. In addition, we have used our results to measure cosmological parameters, constraining the normalisation of the matter power spectrum to be sigma_8=(0.72 \pm 0.09)(Omega_m/0.3)^-0.49, where the errors quoted are 1-sigma due to the intrinsic dispersion in galaxy ellipticities, cosmic and sampling variance. We have significantly reduced the usual additional uncertainty in the median redshift (z_m) of the survey by estimating z_m directly from the data. To demonstrate the power of accurate redshift information, we have also measured parameters from a shear analysis of only those galaxies with accurate redshifts. In this case, we have eliminated the uncertainty in the redshift distribution of sources and we show that the uncertainty in the resulting parameter constraints are reduced by more than a factor of 2 compared to the typical uncertainties found in cosmic shear surveys to date. Finally, we combine our parameter measurements with constraints from the 2dFGRS and from the CMB. With these additional constraints, we measure sigma_8=0.73 +0.05/-0.03 and Omega_m=0.27 +/- 0.02.
Bacon David J.
Brown Mark L.
Dye Simon
Gray Meghan E.
Meisenheimer Klaus
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