Improving Fisher matrix forecasts for galaxy surveys: window function, bin cross-correlation and bin redshift uncertainty
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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| Hauptverfasser: | , , |
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| Dokumenttyp: | Article (Journal) |
| Sprache: | Englisch |
| Veröffentlicht: |
18 May 2017
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| In: |
Monthly notices of the Royal Astronomical Society
Year: 2017, Jahrgang: 470, Heft: 1, Pages: 688-705 |
| ISSN: | 1365-2966 |
| DOI: | 10.1093/mnras/stx1209 |
| Online-Zugang: | 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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| Verfasserangaben: | 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
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