### Abstract

We introduce newFourier band-power estimators for cosmic shear data analysis and E/B-mode separation. We consider both the case where one performs E/B-mode separation and the case where one does not. The resulting estimators have several nice properties which make them ideal for cosmic shear data analysis. First, they can be written as linear combinations of the binned cosmic shear correlation functions. Secondly, they account for the survey window function in real-space. Thirdly, they are unbiased by shape noise since they do not use correlation function data at zero separation. Fourthly, the band-power window functions in Fourier space are compact and largely non-oscillatory. Fifthly, they can be used to construct band-power estimators with very efficient data compression properties. In particular, we find that all of the information on the parameters Ωm, σ_{8} and n_{s} in the shear correlation functions in the range of ~10-400 arcmin for single tomographic bin can be compressed into only three band-power estimates. Finally, we can achieve these rates of data compression while excluding small-scale information where the modelling of the shear correlation functions and power spectra is very difficult. Given these desirable properties, these estimators will be very useful for cosmic shear data analysis.

Original language | English (US) |
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Pages (from-to) | 304-312 |

Number of pages | 9 |

Journal | Monthly Notices of the Royal Astronomical Society |

Volume | 457 |

Issue number | 1 |

DOIs | |

State | Published - Jan 11 2016 |

### Keywords

- Cosmology: theory
- Gravitational lensing: weak
- Methods: data analysis

### ASJC Scopus subject areas

- Astronomy and Astrophysics
- Space and Planetary Science

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## Cite this

*Monthly Notices of the Royal Astronomical Society*,

*457*(1), 304-312. https://doi.org/10.1093/mnras/stv3018