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Journal Articles Astronomy and Astrophysics - A&A Year : 2020

Euclid preparation. VII. Forecast validation for Euclid cosmological probes

A. Blanchard (1) , S. Camera , C. Carbone , V. F. Cardone , S. Casas (2) , S. Clesse , S. Ilić (3) , M. Kilbinger (4, 5) , T. Kitching , M. Kunz (6) , F. Lacasa (6) , E. Linder , E. Majerotto , K. Markovič , M. Martinelli , V. Pettorino (7) , A. Pourtsidou , Z. Sakr (1) , A. G. Sánchez (8) , D. Sapone , I. Tutusaus , S. Yahia-Cherif (1) , V. Yankelevich , S. Andreon (9) , H. Aussel (7) , A. Balaguera-Antolínez , M. Baldi , S. Bardelli , R. Bender (10, 11) , A. Biviano , D. Bonino , A. Boucaud (12) , E. Bozzo , E. Branchini , S. Brau-Nogue (1) , M. Brescia , J. Brinchmann , C. Burigana , R. Cabanac (1) , V. Capobianco , A. Cappi (13) , J. Carretero , C. S. Carvalho , R. Casas (14) , F. J. Castander , M. Castellano , S. Cavuoti , A. Cimatti , R. Cledassou (15) , C. Colodro-Conde , G. Congedo , C. J. Conselice , L. Conversi , Y. Copin (16) , L. Corcione , J. Coupon , H. M. Courtois (16) , M. Cropper , A. da Silva , S. de La Torre (17) , D. Di Ferdinando , F. Dubath , F. Ducret (17) , C. A. J. Duncan , X. Dupac , S. Dusini , G. Fabbian , M. Fabricius , S. Farrens (18) , P. Fosalba , S. Fotopoulou (19, 20) , N. Fourmanoit (21) , M. Frailis , E. Franceschi , P. Franzetti , M. Fumana , S. Galeotta , W. Gillard (21) , B. Gillis , C. Giocoli , P. Gómez-Alvarez , J. Graciá-Carpio (10) , F. Grupp , L. Guzzo (22) , H. Hoekstra (23) , F. Hormuth , H. Israel , K. Jahnke , E. Keihanen , S. Kermiche (21) , C. C. Kirkpatrick , R. Kohley , B. Kubik (16) , H. Kurki-Suonio , S. Ligori , P. B. Lilje , I. Lloro , D. Maino , E. Maiorano , O. Marggraf , N. Martinet (17) , F. Marulli , R. Massey , E. Medinaceli , S. Mei (24) , Y. Mellier , B. Metcalf , J. J. Metge (25) , G. Meylan , M. Moresco , L. Moscardini , E. Munari , R. C. Nichol , S. Niemi , A. A. Nucita , C. Padilla (26) , S. Paltani , F. Pasian , W. J. Percival , S. Pires (7) , G. Polenta , M. Poncet (15) , L. Pozzetti , G. D. Racca , F. Raison , A. Renzi , J. Rhodes , E. Romelli , M. Roncarelli , E. Rossetti , R. Saglia , P. Schneider , V. Scottez (5) , A. Secroun (21) , G. Sirri , L. Stanco , J.-L. Starck (18) , F. Sureau (18) , P. Tallada-Crespí , D. Tavagnacco , A. N. Taylor , M. Tenti , I. Tereno , R. Toledo-Moreo , F. Torradeflot , L. Valenziano , T. Vassallo , G. A. Verdoes Kleijn , M. Viel , Y. Wang (27, 28) , A. Zacchei , J. Zoubian (21) , E. Zucca
1 IRAP - Institut de recherche en astrophysique et planétologie
2 Eurecat, Ctr Tecnol Catalunya, Placa Ciencia 2, Manresa 08242, Spain
3 Corporate technology Siemens
4 DAP - Département d'Astrophysique (ex SAP)
5 IAP - Institut d'Astrophysique de Paris
6 IAS - Institut d'astrophysique spatiale
7 AIM (UMR7158 / UMR_E_9005 / UM_112) - Astrophysique Interprétation Modélisation
8 UNICANCER/CJP - Centre Jean Perrin [Clermont-Ferrand]
9 OAB - INAF - Osservatorio Astronomico di Brera
10 MPE - Max Planck Institute for Extraterrestrial Physics
11 LMU - Ludwig Maximilian University [Munich] = Ludwig Maximilians Universität München
12 APC (UMR_7164) - AstroParticule et Cosmologie
13 OAC - INAF - Osservatorio Astronomico di Capodimonte
14 ICE-CSIC - Institut de Ciencies de l'Espai [Barcelona]
15 CNES - Centre National d'Études Spatiales [Toulouse]
16 IPNL - Institut de Physique Nucléaire de Lyon
17 LAM - Laboratoire d'Astrophysique de Marseille
18 AIM (UMR_7158 / UMR_E_9005 / UM_112) - Astrophysique Interprétation Modélisation
19 Durham University
20 UNIGE - Université de Genève = University of Geneva
21 CPPM - Centre de Physique des Particules de Marseille
22 Dipartimento di Fisica (Milano)
23 Department of Surgical Oncology
24 LERMA - Laboratoire d'Etude du Rayonnement et de la Matière en Astrophysique et Atmosphères = Laboratory for Studies of Radiation and Matter in Astrophysics and Atmospheres
25 UR MALY - Milieux aquatiques, écologie et pollutions
26 CIRMF - Centre International de Recherches Médicales de Franceville
27 CSIRO - Commonwealth Scientific and Industrial Research Organisation [Canberra]
28 Department of Biogeochemical Integration [Jena]
S. Camera
C. Carbone
  • Function : Author
V. F. Cardone
  • Function : Author
S. Clesse
  • Function : Author
T. Kitching
  • Function : Author
E. Linder
  • Function : Author
E. Majerotto
  • Function : Author
K. Markovič
  • Function : Author
M. Martinelli
  • Function : Author
A. Pourtsidou
  • Function : Author
D. Sapone
  • Function : Author
I. Tutusaus
  • Function : Author
V. Yankelevich
  • Function : Author
H. Aussel
A. Balaguera-Antolínez
M. Baldi
S. Bardelli
A. Biviano
D. Bonino
  • Function : Author
A. Boucaud
E. Bozzo
E. Branchini
M. Brescia
  • Function : Author
J. Brinchmann
C. Burigana
  • Function : Author
V. Capobianco
  • Function : Author
J. Carretero
  • Function : Author
C. S. Carvalho
  • Function : Author
F. J. Castander
M. Castellano
S. Cavuoti
  • Function : Author
A. Cimatti
C. Colodro-Conde
  • Function : Author
G. Congedo
C. J. Conselice
  • Function : Author
L. Conversi
  • Function : Author
Y. Copin
L. Corcione
  • Function : Author
J. Coupon
  • Function : Author
M. Cropper
  • Function : Author
A. da Silva
  • Function : Author
D. Di Ferdinando
  • Function : Author
F. Dubath
  • Function : Author
C. A. J. Duncan
  • Function : Author
X. Dupac
  • Function : Author
S. Dusini
  • Function : Author
G. Fabbian
  • Function : Author
M. Fabricius
  • Function : Author
S. Farrens
P. Fosalba
M. Frailis
  • Function : Author
E. Franceschi
  • Function : Author
P. Franzetti
  • Function : Author
M. Fumana
  • Function : Author
S. Galeotta
  • Function : Author
W. Gillard
B. Gillis
  • Function : Author
C. Giocoli
P. Gómez-Alvarez
F. Grupp
  • Function : Author
H. Hoekstra
F. Hormuth
  • Function : Author
H. Israel
  • Function : Author
K. Jahnke
E. Keihanen
  • Function : Author
C. C. Kirkpatrick
  • Function : Author
R. Kohley
  • Function : Author
H. Kurki-Suonio
  • Function : Author
S. Ligori
  • Function : Author
P. B. Lilje
  • Function : Author
I. Lloro
  • Function : Author
D. Maino
  • Function : Author
E. Maiorano
  • Function : Author
O. Marggraf
  • Function : Author
F. Marulli
R. Massey
  • Function : Author
E. Medinaceli
  • Function : Author
Y. Mellier
  • Function : Author
B. Metcalf
  • Function : Author
G. Meylan
  • Function : Author
M. Moresco
L. Moscardini
  • Function : Author
E. Munari
  • Function : Author
R. C. Nichol
  • Function : Author
S. Niemi
  • Function : Author
A. A. Nucita
  • Function : Author
S. Paltani
F. Pasian
  • Function : Author
W. J. Percival
  • Function : Author
G. Polenta
  • Function : Author
L. Pozzetti
  • Function : Author
G. D. Racca
  • Function : Author
F. Raison
  • Function : Author
A. Renzi
  • Function : Author
J. Rhodes
E. Romelli
  • Function : Author
M. Roncarelli
  • Function : Author
E. Rossetti
  • Function : Author
R. Saglia
P. Schneider
G. Sirri
  • Function : Author
L. Stanco
  • Function : Author
P. Tallada-Crespí
  • Function : Author
D. Tavagnacco
  • Function : Author
A. N. Taylor
  • Function : Author
M. Tenti
  • Function : Author
I. Tereno
  • Function : Author
R. Toledo-Moreo
  • Function : Author
F. Torradeflot
  • Function : Author
L. Valenziano
  • Function : Author
T. Vassallo
  • Function : Author
G. A. Verdoes Kleijn
  • Function : Author
M. Viel
  • Function : Author
A. Zacchei
  • Function : Author
J. Zoubian
E. Zucca

Abstract

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.
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Dates and versions

hal-02976446 , version 1 (23-10-2020)

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Cite

A. Blanchard, S. Camera, C. Carbone, V. F. Cardone, S. Casas, et al.. Euclid preparation. VII. Forecast validation for Euclid cosmological probes: VII. Forecast validation for Euclid cosmological probes. Astronomy and Astrophysics - A&A, 2020, 642, pp.A191. ⟨10.1051/0004-6361/202038071⟩. ⟨hal-02976446⟩
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