期刊
ASTRONOMY & ASTROPHYSICS
卷 642, 期 -, 页码 -出版社
EDP SCIENCES S A
DOI: 10.1051/0004-6361/202038071
关键词
cosmology: observations; cosmological parameters; cosmology: theory
资金
- Academy of Finland
- Agenzia Spaziale Italiana
- Belgian Science Policy
- Canadian Euclid Consortium
- Centre National d'Etudes Spatiales
- Deutsches Zentrum fur Luft-and Raumfahrt
- Danish Space Research Institute
- Fundacao para a Cienca e a Tecnologia
- Ministerio de Economia y Competitividad
- National Aeronautics and Space Administration [80NM0018D0004]
- Netherlandse Onderzoekschool Voor Astronomie
- Norvegian Space Center
- Romanian Space Agency
- State Secretariat for Education, Research and Innovation (SERI) at the Swiss Space O ffice (SSO)
- United Kingdom Space Agency
- Italian Ministry of Education, University and Research (MIUR)
- Departments of Excellence 2018-2022 Grant - MIUR [L. 232/2016]
- European Research Council through the Darklight Advanced Research Grant [291521]
- MIUR PRIN 2015 Cosmology and Fundamental Physics: illuminating the Dark Universe with Euclid
- french space agency CNES
- Belgian Fund for Research F.R.S-FNRS
- Swiss National Science Foundation
- NASA ROSES grant [12-EUCLID12-0004]
- UK Science & Technology Facilities Council [ST/N000668/1, ST/S000437/1]
- UK Space Agency [ST/N00180X/1]
- D-ITP consortium, a program of the NWO - the OCW
- Fondecyt [1200171]
- Spanish Ministry of Science, Innovation and Universities [ESP2017-89838-C3-1-R]
- H2020 programme of the European Commission [776247]
- Deutsche Forschungsgemeinschaft [Transregio 33]
- International Max Planck Research School for Astronomy and Astrophysics at the University of Bonn
- International Max Planck Research School for Astronomy and Astrophysics at the University of Cologne
- Bonn-Cologne Graduate School for Physics and Astronomy
- Royal Society University Research Fellowship
- European Research Council under the European Union's Seventh Framework Programme (FP7/2007-2013)/ERC [617656]
Aims. The Euclid space telescope will measure the shapes and redshifts of galaxies to reconstruct the expansion history of the Universe and the growth of cosmic structures. The estimation of the expected performance of the experiment, in terms of predicted constraints on cosmological parameters, has so far relied on various individual methodologies and numerical implementations, which were developed for different observational probes and for the combination thereof. In this paper we present validated forecasts, which combine both theoretical and observational ingredients for different cosmological probes. This work is presented to provide the community with reliable numerical codes and methods for Euclid cosmological forecasts.Methods. We describe in detail the methods adopted for Fisher matrix forecasts, which were applied to galaxy clustering, weak lensing, and the combination thereof. We estimated the required accuracy for Euclid forecasts and outline a methodology for their development. We then compare and improve different numerical implementations, reaching uncertainties on the errors of cosmological parameters that are less than the required precision in all cases. Furthermore, we provide details on the validated implementations, some of which are made publicly available, in different programming languages, together with a reference training-set of input and output matrices for a set of specific models. These can be used by the reader to validate their own implementations if required.Results. We present new cosmological forecasts for Euclid. We find that results depend on the specific cosmological model and remaining freedom in each setting, for example flat or non-flat spatial cosmologies, or different cuts at non-linear scales. The numerical implementations are now reliable for these settings. We present the results for an optimistic and a pessimistic choice for these types of settings. We demonstrate that the impact of cross-correlations is particularly relevant for models beyond a cosmological constant and may allow us to increase the dark energy figure of merit by at least a factor of three.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据