KiDS and Euclid: Cosmological implications of a pseudo angular power spectrum analysis of KiDS-1000 cosmic shear tomography

Loureiro, A.; Whittaker, L.; Spurio Mancini, A.; Joachimi, B.; Cuceu, A.; Asgari, M.; Stölzner, B.; Tröster, T.; Wright, A. H.; Bilicki, M.; Dvornik, A.; Giblin, B.; Heymans, C.; Hildebrandt, H.; Shan, H.; Amara, A.; Auricchio, N.; Bodendorf, C.; Bonino, D.; Branchini, E.; Brescia, M.; Capobianco, V.; Carbone, C.; Carretero, J.; Castellano, M.; Cavuoti, S.; Cimatti, A.; Cledassou, R.; Congedo, G.; Conversi, L.; Copin, Y.; Corcione, L.; Cropper, M.; Da Silva, A.; Douspis, M.; Dubath, F.; Duncan, C. A. J.; Dupac, X.; Dusini, S.; Farrens, S.; Ferriol, S.; Fosalba, P.; Frailis, M.; Franceschi, E.; Fumana, M.; Garilli, B.; Gillis, B.; Giocoli, C.; Grazian, A.; Grupp, F.; Haugan, S. V. H.; Holmes, W.; Hormuth, F.; Jahnke, K.; Kümmel, M.; Kermiche, S.; Kiessling, A.; Kilbinger, M.; Kitching, T.; Kuijken, K.; Kunz, M.; Kurki-Suonio, H.; Ligori, S.; Lilje, P.B.; Lloro, I.; Mansutti, O.; Marggraf, O.; Markovic, K.; Marulli, F.; Massey, R.; Meneghetti, M.; Meylan, G.; Moresco, M.; Morin, B.; Moscardini, L.; Munari, E.; Niemi, S. M.; Padilla, C.; Paltani, S.; Pasian, F.; Pedersen, K.; Pettorino, V.; Pires, S.; Poncet, M.; Popa, L.; Raison, F.; Rhodes, J.; Rix, H.; Roncarelli, M.; Saglia, R.; Schneider, P.; Secroun, A.; Serrano, S.; Sirignano, C.; Sirri, G.; Stanco, L.; Starck, J. L.; Tallada-Crespí, P.; Taylor, A. N.; Tereno, I.; Toledo-Moreo, R.; Torradeflot, F.; Valentijn, E. A.; Wang, Y.; Welikala, N.; Weller, J.; Zamorani, G.; Zoubian, J.; Andreon, S.; Baldi, M.; Camera, S.; Farinelli, R.; Polenta, G.; Tessore, N.

doi:10.1051/0004-6361/202142481

Published September 2022 | Version public

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KiDS and Euclid: Cosmological implications of a pseudo angular power spectrum analysis of KiDS-1000 cosmic shear tomography

1. University College London
2. Imperial College London
3. University of Edinburgh
4. University of Manchester
5. University of Hull
6. Ruhr University Bochum
7. Center for Theoretical Physics
8. Shanghai Astronomical Observatory
9. University of Chinese Academy of Sciences
10. University of Portsmouth
11. Max Planck Institute for Extraterrestrial Physics
12. Osservatorio Astrofisico di Torino
13. Roma Tre University
14. INFN Sezione di Roma III
15. Astronomical Observatory of Capodimonte
16. Istituto di Astrofisica Spaziale e Fisica Cosmica di Milano
17. Institute for High Energy Physics
18. Port d'Informació Científica
19. University of Naples Federico II
20. INFN Sezione di Napoli
21. University of Bologna
22. Arcetri Astrophysical Observatory
23. Centre National d'Études Spatiales
24. Institut National de Physique Nucléaire et de Physique des Particules
25. European Space Research Institute
26. European Space Astronomy Centre
27. University of Lyon System
28. University of Lisbon
29. Institut d'Astrophysique Spatiale
30. University of Geneva
31. University of Oxford
32. INFN Sezione di Padova
33. Astrophysique, Instrumentation et Modélisation
34. Institut d'Estudis Espacials de Catalunya
35. Institute of Space Sciences
36. Trieste Astronomical Observatory
37. National Institute for Astrophysics
38. INFN Sezione di Bologna
39. Osservatorio Astronomico di Padova
40. Ludwig-Maximilians-Universität München
41. University of Oslo
42. Jet Propulsion Lab
43. von Hoerner & Sulger (Germany)
44. Max Planck Institute for Astronomy
45. Center for Particle Physics of Marseilles
46. Leiden University
47. University of Helsinki
48. Netherlands Institute for Radio Astronomy
49. University of Bonn
50. Durham University
51. École Polytechnique Fédérale de Lausanne
52. European Space Research and Technology Centre
53. Aarhus University
54. Institute of Space Science
55. University of Padua
56. Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas
57. Polytechnic University of Cartagena
58. University of Groningen
59. Infrared Processing and Analysis Center
60. Brera Astronomical Observatory
61. University of Turin
62. INFN Sezione di Torino
63. Agenzia Spaziale Italiana

We present a tomographic weak lensing analysis of the Kilo Degree Survey Data Release 4 (KiDS-1000), using a new pseudo angular power spectrum estimator (pseudo-C_ℓ) under development for the ESA Euclid mission. Over 21 million galaxies with shape information are divided into five tomographic redshift bins, ranging from 0.1 to 1.2 in photometric redshift. We measured pseudo-C_ℓ using eight bands in the multipole range 76 < ℓ < 1500 for auto- and cross-power spectra between the tomographic bins. A series of tests were carried out to check for systematic contamination from a variety of observational sources including stellar number density, variations in survey depth, and point spread function properties. While some marginal correlations with these systematic tracers were observed, there is no evidence of bias in the cosmological inference. B-mode power spectra are consistent with zero signal, with no significant residual contamination from E/B-mode leakage. We performed a Bayesian analysis of the pseudo-C_ℓ estimates by forward modelling the effects of the mask. Assuming a spatially flat ΛCDM cosmology, we constrained the structure growth parameter S₈ = σ₈(Ωₘ/0.3)^(1/2) = 0.754_(−0.029)^(+0.027). When combining cosmic shear from KiDS-1000 with baryon acoustic oscillation and redshift space distortion data from recent Sloan Digital Sky Survey (SDSS) measurements of luminous red galaxies, as well as the Lyman-α forest and its cross-correlation with quasars, we tightened these constraints to S₈ = 0.771_(−0.032)^(+0.006). These results are in very good agreement with previous KiDS-1000 and SDSS analyses and confirm a ∼3σ tension with early-Universe constraints from cosmic microwave background experiments.

Additional Information

The authors would like to thank Dr Lorne Whiteway for useful comments and discussions. We would also like to thank the reviewer for their helpful comments that helped enrich this work. The mixing matrix calculation used a publicly available Wigner 3-j symbol code developed by Dr Whiteway and it can be found in https://github.com/LorneWhiteway/UCLWig3j. The K-Means code used for the jackknife covariances for systematics was built on top of a code developed by Dr Erin Sheldon, publicly available in https://github.com/esheldon/kmeans_radec. The analysis performed in this work also made use of the following packages and software: NumPy (Harris et al. 2020), SciPy (Virtanen et al. 2020), Matplotlib (Hunter 2007), GetDist (Lewis 2019), Pandas (Wes McKinney 2010), AstroPy (Astropy Collaboration 2018) and Jupyter Lab (Kluyver et al. 2016). The Flask + Salmo mocks were generated and provided by Dr Chieh-An Lin. We thank Dr Edd Edmonson for technical support at the UCL HPC facilities. This work used computing equipment funded by the Research Capital Investment Fund (RCIF) provided by UKRI, and is partially funded by the UCL Cosmoparticle Initiative. M.A. and T.T. acknowledge support from the European Research Council under grant number 647112. A.H.W. and A.D. acknowledge support from the European Research Council Consolidator Grant (No. 770935). M.B. is supported by the Polish National Science Center through grants no. 2020/38/E/ST9/00395, 2018/30/E/ST9/00698 and 2018/31/G/ST9/03388, and by the Polish Ministry of Science and Higher Education through grant DIR/WK/2018/12. B.G. acknowledges support from the European Research Council under grant number 647112 and from the Royal Society through an Enhancement Award (RGF/EA/181006). C.H. acknowledges support from the European Research Council under grant number 647112, and support from the Max Planck Society and the Alexander von Humboldt Foundation in the framework of the Max Planck-Humboldt Research Award endowed by the Federal Ministry of Education and Research. H. Hildebrandt is supported by a Heisenberg grant of the Deutsche Forschungsgemeinschaft (Hi 1495/5-1) as well as an ERC Consolidator Grant (No. 770935). H.Y.S. acknowledges the support from NSFC of China under grant 11973070, the Shanghai Committee of Science and Technology grant No. 19ZR1466600 and Key Research Program of Frontier Sciences, CAS, Grant No. ZDBS-LY-7013. The KiDS-1000 data products in this paper are based on observations made with ESO Telescopes at the La Silla Paranal Observatory under programme IDs 177.A-3016, 177.A-3017 and 177.A-3018, and on data products produced by Target/OmegaCEN, INAF-OACN, INAF-OAPD and the KiDS production team, on behalf of the KiDS consortium. The authors acknowledge the Euclid Consortium, the European Space Agency, and a number of agencies and institutes that have supported the development of Euclid, in particular the Academy of Finland, the Agenzia Spaziale Italiana, the Belgian Science Policy, the Canadian Euclid Consortium, the French Centre National d'Etudes Spatiales, the Deutsches Zentrum für Luft- und Raumfahrt, the Danish Space Research Institute, the Fundação para a Ciência e a Tecnologia, the Ministerio de Economia y Competitividad, the National Aeronautics and Space Administration, the National Astronomical Observatory of Japan, the Netherlandse Onderzoekschool Voor Astronomie, the Norwegian Space Agency, the Romanian Space Agency, the State Secretariat for Education, Research and Innovation (SERI) at the Swiss Space Office (SSO), and the United Kingdom Space Agency. A complete and detailed list is available on the Euclid web site (http://www.euclid-ec.org). Author Contributions: All authors contributed to the development and writing of this paper. The authorship list is given in several groups: the lead authors (A.L., L.W., A.S.M., B.J., A.C.), followed by an alphabetical group that includes those who are key contributors to both the scientific analysis and the KiDS data products, and a further alphabetical group covering those who have either made a significant contribution to the KiDS data products or to the scientific analysis. Additional alphabetical groups correspond to different authorship levels of the Euclid Consortium.

Additional details

Eprint ID: 117172
Resolver ID: CaltechAUTHORS:20220928-285212100.19

United Kingdom Research and Innovation (UKRI)
University College London
European Research Council (ERC)
647112
European Research Council (ERC)
770935
National Science Centre (Poland)
2020/38/E/ST9/00395
National Science Centre (Poland)
2018/30/E/ST9/00698
National Science Centre (Poland)
2018/31/G/ST9/03388
Ministerstwo Nauki i Szkolnictwa Wyższego (MNiSW)
DIR/WK/2018/12
European Research Council (ERC)
647112
Royal Society
RGF/EA/181006
European Research Council (ERC)
647112
Max Planck Society
Alexander von Humboldt Foundation
Bundesministerium für Bildung und Forschung (BMBF)
Deutsche Forschungsgemeinschaft (DFG)
Hi 1495/5-1
European Research Council (ERC)
770935
National Natural Science Foundation of China
11973070
Shanghai Committee of Science and Technology
19ZR1466600
Chinese Academy of Sciences
ZDBS-LY-7013

Created: 2022-10-04

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Updated: 2022-10-04

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Caltech groups: Infrared Processing and Analysis Center (IPAC)

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KiDS and Euclid: Cosmological implications of a pseudo angular power spectrum analysis of KiDS-1000 cosmic shear tomography

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