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Improving Fisher matrix forecasts for galaxy surveys: window function, bin cross-correlation and bin redshift uncertainty

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The Fisher matrix is a widely used tool to forecast the performance of future experiments and approximate the likelihood of large data sets. Most of the forecasts for cosmological parameters in galaxy clustering studies rely on the Fisher matrix approach for large-scale experiments like DES, Euclid...

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Main Authors: Bailoni, Alberto (Author) , Spurio Mancini, Alessio (Author) , Amendola, Luca (Author)
Format: Article (Journal)
Language:English
Published: 18 May 2017
In: Monthly notices of the Royal Astronomical Society
Year: 2017, Volume: 470, Issue: 1, Pages: 688-705
ISSN:1365-2966
DOI:10.1093/mnras/stx1209
Online Access:Verlag, kostenfrei, Volltext: http://dx.doi.org/10.1093/mnras/stx1209
Verlag, kostenfrei, Volltext: https://academic.oup.com/mnras/article/470/1/688/3833246/Improving-Fisher-matrix-forecasts-for-galaxy
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Author Notes:Alberto Bailoni, Alessio Spurio Mancini and Luca Amendola
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Improving Fisher matrix forecasts for galaxy surveys: window function, bin cross-correlation, and bin redshift uncertainty by Bailoni, Alberto (Author) , Spurio Mancini, Alessio (Author) , Amendola, Luca (Author) ,


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