Recognition: unknown
Euclid preparation. XCVI. Cosmology Likelihood for Observables in Euclid (CLOE). 3. Inference and Forecasts
read the original abstract
The Euclid mission aims to measure the positions, shapes, and redshifts of over a billion galaxies to provide unprecedented constraints on the nature of dark matter and dark energy. Achieving this goal requires a continuous reassessment of the mission's scientific performance, particularly in terms of its ability to constrain cosmological parameters, as our understanding of how to model large-scale structure observables improves. In this study, we present the first scientific forecasts using CLOE (Cosmology Likelihood for Observables in Euclid), a dedicated Euclid cosmological pipeline developed to support this endeavour. Using advanced Bayesian inference techniques applied to synthetic Euclid-like data, we sample the posterior distribution of cosmological and nuisance parameters across a variety of cosmological models and Euclid primary probes: cosmic shear, angular photometric galaxy clustering, galaxy-galaxy lensing, and spectroscopic galaxy clustering. We validate the capability of CLOE to produce reliable cosmological forecasts, showcasing Euclid's potential to achieve a figure of merit for the dark energy parameters $w_0$ and $w_a$ exceeding 400 when combining all primary probes. Furthermore, we illustrate the behaviour of the posterior probability distribution of the parameters of interest given different priors and scale cuts. Finally, we emphasise the importance of addressing computational challenges, proposing further exploration of innovative data science techniques to efficiently navigate the Euclid high-dimensional parameter space in upcoming cosmological data releases.
This paper has not been read by Pith yet.
Forward citations
Cited by 4 Pith papers
-
Euclid preparation. CosmoPostProcess: A simulation calibrated framework for weak lensing selection bias in richness-selected galaxy clusters
CosmoPostProcess delivers simulation-calibrated radial corrections for projection-induced selection bias (20-40% amplitude near 1 h^{-1} Mpc) and baryonic effects in Euclid richness-selected cluster weak lensing profiles.
-
UNIONS-3500 Weak Lensing: III. 2D Cosmological Constraints in Configuration Space
UNIONS-3500 weak lensing data yields S_8 = 0.831^{+0.067}_{-0.078} in flat LCDM from 2D cosmic shear, consistent with Planck within 1 sigma.
-
\textit{Euclid} preparation. Baryon acoustic oscillations extraction techniques: comparison and optimisation
End-to-end validation on Euclid-like mocks shows RecSym and RecIso reconstruction yield unbiased BAO measurements, improving figure of merit for Omega_m and H0 rs by factor of ~3 across 0.9<z<1.8.
-
Euclid preparation. Three-dimensional galaxy clustering in configuration space: Three-point correlation function estimation
Euclid collaboration develops and validates direct and spherical-harmonic estimators plus a random-split optimization for measuring the three-point galaxy correlation function at the scale of the full Euclid survey.
Reference graph
Works this paper leans on
-
[1]
, " * write output.state after.block = add.period write newline
ENTRY address archiveprefix author booktitle chapter edition editor howpublished institution eprint journal key month note number organization pages publisher school series title type volume year label extra.label sort.label short.list INTEGERS output.state before.all mid.sentence after.sentence after.block FUNCTION init.state.consts #0 'before.all := #1 ...
-
[2]
" write newline "" before.all 'output.state := FUNCTION n.dashify 't := "" t empty not t #1 #1 substring "-" = t #1 #2 substring "--" = not "--" * t #2 global.max substring 't := t #1 #1 substring "-" = "-" * t #2 global.max substring 't := while if t #1 #1 substring * t #2 global.max substring 't := if while FUNCTION word.in bbl.in " " * FUNCTION format....
-
[3]
Abbott , T. M. C., Aguena , M., Alarcon , A., et al. 2022, , 105, 023520
work page 2022
- [4]
- [5]
-
[6]
Amon , A., Robertson , N. C., Miyatake , H., et al. 2023, , 518, 477
work page 2023
- [7]
- [8]
-
[9]
Bayes, R. T. 1763, Philosophical Transactions of the Royal Society of London, 53, 370
-
[10]
Bertolini, D., Schutz, K., Solon, M. P., Walsh, J. R., & Zurek, K. M. 2016, , 93, 123505
work page 2016
-
[11]
S., Alimi , J.-M., Reverdy , V., & Rasera , Y
Blot , L., Corasaniti , P. S., Alimi , J.-M., Reverdy , V., & Rasera , Y. 2015, , 446, 1756
work page 2015
-
[12]
S., Amendola , L., & Kitching , T
Blot , L., Corasaniti , P. S., Amendola , L., & Kitching , T. D. 2016, , 458, 4462
work page 2016
- [13]
-
[14]
Bonici, M., Bianchini, F., & Ruiz-Zapatero, J. 2023, arXiv:2307.14339
- [15]
-
[16]
Booth , C. M. & Schaye , J. 2009, , 398, 53
work page 2009
- [17]
-
[18]
Bunn , E. F. 1995, PhD thesis, University of California, Berkeley
work page 1995
-
[19]
Cagliari , M. S., Granett , B. R., Guzzo , L., et al. 2024, , 689, A166
work page 2024
- [20]
-
[21]
Euclid: Constraints on f(R) cosmologies from the spectroscopic and photometric primary probes
Casas , S., Cardone , V. F., Sapone , D., et al. 2023, , submitted, arXiv:2306.11053
work page Pith review arXiv 2023
-
[22]
Casas , S., Lesgourgues , J., Sch \"o neberg , N., et al. 2024, , 682, A90
work page 2024
-
[23]
Chevalier, M. & Polarski, D. 2001, International Journal of Modern Physics D, 10, 213
work page 2001
- [24]
-
[25]
J., Pettini , M., & Steidel , C
Cooke , R. J., Pettini , M., & Steidel , C. C. 2018, , 855, 102
work page 2018
- [26]
-
[27]
DESI Collaboration , Adame , A. G., Aguilar , J., et al. 2025, JCAP, 2025, 021
work page 2025
- [28]
-
[29]
DESI 2024 VI: Cosmological Constraints from the Measurements of Baryon Acoustic Oscillations
DESI Collaboration: Adame , A. G., Aguilar , J., Ahlen , S., et al. 2024 b , arXiv e-prints, arXiv:2404.03002
work page internal anchor Pith review arXiv 2024
- [30]
- [31]
-
[32]
Euclid Collaboration: Blanchard , A., Camera , S., Carbone , C., et al. 2020, , 642, A191
work page 2020
-
[33]
Euclid Collaboration: Cardone , V. F. et al. 2025, A&A, submitted
work page 2025
-
[34]
Euclid Collaboration: Carrilho , P. et al. in prep
-
[35]
Euclid Collaboration: Castander , F., Fosalba , P., Stadel , J., et al. 2025, A&A, 697, A5
work page 2025
-
[36]
Euclid Collaboration: Crocce , M. et al. in prep
-
[37]
Euclid Collaboration: Dournac , F., Blanchard , A., Ili \'c , S., et al. 2024, , 690, A30
work page 2024
-
[38]
Euclid Collaboration: Ili \'c , S., Aghanim , N., Baccigalupi , C., et al. 2022, , 657, A91
work page 2022
-
[39]
Euclid Collaboration: Joudaki , S. et al. 2025, A&A, submitted
work page 2025
-
[40]
Euclid Collaboration: Martinelli , M. et al. 2025, A&A, submitted
work page 2025
-
[41]
Euclid Collaboration: Mellier , Y., Abdurro'uf , Acevedo Barroso , J., et al. 2025, A&A, 697, A1
work page 2025
-
[42]
Euclid Collaboration: Moretti , C. et al. in prep
-
[43]
Euclid preparation: 6x2 pt analysis of Euclid's spectroscopic and photometric data sets
Euclid Collaboration: Paganin , L., Bonici , M., Carbone , C., et al. 2024, A&A, submitted, arXiv:2409.18882
work page Pith review arXiv 2024
-
[44]
Euclid Collaboration: Pezzotta , A., Moretti , C., Zennaro , M., et al. 2024, , 687, A216
work page 2024
-
[45]
The impact of redshift interlopers on the two-point correlation function analysis
Euclid Collaboration: Risso , I., Veropalumbo , A., Branchini , E., et al. 2025, A&A, submitted, arXiv:2505.04688
- [46]
-
[47]
Euclid Collaboration: Sciotti , D. et al. 2025, in preparation
work page 2025
-
[48]
2024, arXiv e-prints, arXiv:2408.16903
Euclid Collaboration: Tessore , N., Joachimi , B., Loureiro , A., et al. 2024, arXiv e-prints, arXiv:2408.16903
-
[49]
Feng, J. L. 2010, Ann. Rev. Astron. Astrophys., 48, 495
work page 2010
- [50]
-
[51]
Franco-Abellán, G., Cañas-Herrera, G., Martinelli, M., et al. 2024, JCAP, 2024, 057
work page 2024
- [52]
-
[53]
Garnavich , P. M., Kirshner , R. P., Challis , P., et al. 1998, , 493, L53
work page 1998
-
[54]
Gouyou Beauchamps , S., Lacasa , F., Tutusaus , I., et al. 2022, , 659, A128
work page 2022
-
[55]
Grieb, J. N., Sánchez, A. G., Salazar-Albornoz, S., & Dalla Vecchia, C. 2016, , 457, 1577
work page 2016
-
[56]
2023, The Open Journal of Astrophysics, 6
Hadzhiyska, B., Wolz, K., Alonso, D., et al. 2023, The Open Journal of Astrophysics, 6
work page 2023
-
[57]
Handley , W. J., Hobson , M. P., & Lasenby , A. N. 2015 a , MNRAS, 450, L61
work page 2015
-
[58]
Handley , W. J., Hobson , M. P., & Lasenby , A. N. 2015 b , MNRAS, 453, 4384
work page 2015
-
[59]
Hastings, W. K. 1970, Biometrika, 57, 97
work page 1970
-
[60]
Heymans , C., Tr \"o ster , T., Asgari , M., et al. 2021, , 646, A140
work page 2021
-
[61]
Hildebrandt , H., Viola , M., Heymans , C., et al. 2017, , 465, 1454
work page 2017
-
[62]
M., Simonovi \'c , M., & Zaldarriaga , M
Ivanov , M. M., Simonovi \'c , M., & Zaldarriaga , M. 2020, JCAP, 05, 042
work page 2020
-
[63]
Ivezic, Z., Connolly, A. J., VanderPlas, J. T., & Gray, A. 2014, Statistics, Data Mining, and Machine Learning in Astronomy: A Practical Python Guide for the Analysis of Survey Data (Princeton, NJ, USA: Princeton University Press)
work page 2014
- [64]
- [65]
-
[66]
Keeton , C. R. 2011, , 414, 1418
work page 2011
- [67]
- [68]
-
[69]
Krause , E., Eifler , T. F., Zuntz , J., et al. 2017, arXiv e-prints, arXiv:1706.09359
- [70]
-
[71]
Lahav , O., Lilje , P. B., Primack , J. R., & Rees , M. J. 1991, , 251, 128
work page 1991
-
[72]
Lange, J. U. 2023, MNRAS, 525, 3181
work page 2023
-
[73]
Euclid Definition Study Report
Laureijs , R., Amiaux , J., Arduini , S., et al. 2011, ESA/SRE(2011)12, arXiv:1110.3193
work page internal anchor Pith review Pith/arXiv arXiv 2011
- [74]
-
[75]
GetDist: a Python package for analysing Monte Carlo samples
Lewis , A. 2019, arXiv e-prints, arXiv:1910.13970
work page internal anchor Pith review arXiv 2019
- [76]
- [77]
-
[78]
Limber , D. N. 1953, , 117, 134
work page 1953
-
[79]
Linder, E. V. 2003, Phys. Rev. Lett., 90, 091301
work page 2003
-
[80]
Linder, E. V. 2005, Phys. Rev. D, 72, 043529
work page 2005
discussion (0)
Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.