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**Jee, M. James; Tyson, J. Anthony; Hilbert, Stefan; Schneider, Michael D.; Schmidt, Samuel and Wittman, David (2016): Cosmic shear results from the deep lens survey. II. Full cosmological parameter constraints from tomography. In: Astrophysical Journal, Vol. 824, No. 2, 77**

**Full text not available from 'Open Access LMU'.**

## Abstract

We present a tomographic cosmic shear study from the Deep Lens Survey (DLS), which, providing a limiting magnitude r(lim) similar to 27 (5 sigma), is designed as a precursor Large Synoptic Survey Telescope (LSST) survey with an emphasis on depth. Using five tomographic redshift bins, we study their auto- and cross-correlations to constrain cosmological parameters. We use a luminosity-dependent nonlinear model to account for the astrophysical systematics originating from intrinsic alignments of galaxy shapes. We find that the cosmological leverage of the DLS is among the highest among existing > 10 deg(2) cosmic shear surveys. Combining the DLS tomography with the 9 yr results of the Wilkinson Microwave Anisotropy Probe (WMAP9) gives Omega(m) = 0.293(-0.014)(+0.012), sigma(8) = 0.833(-0.018)(+0.011), H-0 = 68.6(-1.2)(+1.4) km s(-1) Mpc(-1).4 1 1, and Omega(b) = 0.0475 +/- 0.0012 for Lambda CDM, reducing the uncertainties of the WMAP9-only constraints by similar to 50%. When we do not assume flatness for Lambda CDM, we obtain the curvature constraint Omega(k) = -0.010(-0.015)(+0.013) from the DLS+WMAP9 combination, which, however, is not well constrained when WMAP9 is used alone. The dark energy equation-of-state parameter w is tightly constrained when baryonic acoustic oscillation (BAO) data are added, yielding = - w -1.02(-0.09)(+0.10) with the DLS+WMAP9+BAO joint probe. The addition of supernova constraints further tightens the parameter to w = -1.03 +/- 0.03. Our joint constraints are fully consistent with the final Planck results and also with the predictions of a Lambda CDM universe.

Item Type: | Journal article |
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Faculties: | Physics |

Subjects: | 500 Science > 530 Physics |

ISSN: | 0004-637X |

Language: | English |

Item ID: | 47825 |

Date Deposited: | 27. Apr 2018, 08:14 |

Last Modified: | 04. Nov 2020, 13:25 |