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Euclid: Forecast constraints on the cosmic distance duality relation with complementary external probes

Martinelli, M. and Martins, C. J. A. P. and Nesseris, S. and Sapone, D. and Tutusaus, I. and Avgoustidis, A. and Camera, S. and Carbone, C. and Casas, S. and Ilić, S. and Sakr, Z. and Yankelevich, V. and Auricchio, N. and Balestra, A. and Bodendorf, C. and Bonino, D. and Branchini, E. and Brescia, M. and Brinchmann, J. and Capobianco, V. and Carretero, J. and Castellano, M. and Cavuoti, S. and Cledassou, R. and Congedo, G. and Conversi, L. and Corcione, L. and Dubath, F. and Ealet, A. and Frailis, M. and Franceschi, E. and Fumana, M. and Garilli, B. and Gillis, B. and Giocoli, C. and Grupp, F. and Haugan, S. V. H. and Holmes, W. and Hormuth, F. and Jahnke, K. and Kermiche, S. and Kilbinger, M. and Kitching, T. D. and Kubik, B. and Kunz, M. and Kurki-Suonio, H. and Ligori, S. and Lilje, P. B. and Lloro, I. and Marggraf, O. and Markovic, K. and Massey, R. and Mei, S. and Meneghetti, M. and Meylan, G. and Moscardini, L. and Niemi, S. and Padilla, C. and Paltani, S. and Pasian, F. and Pettorino, V. and Pires, S. and Polenta, G. and Poncet, M. and Popa, L. and Pozzetti, L. and Raison, F. and Rhodes, J. and Roncarelli, M. and Saglia, R. and Schneider, P. and Secroun, A. and Serrano, S. and Sirignano, C. and Sirri, G. and Sureau, F. and Taylor, A. N. and Tereno, I. and Toledo-Moreo, R. and Valenziano, L. and Vassallo, T. and Wang, Y. and Welikala, N. and Weller, J. and Zacchei, A. (2020) Euclid: Forecast constraints on the cosmic distance duality relation with complementary external probes. Astronomy and Astrophysics, 644 . Art. No. A80. ISSN 0004-6361. https://resolver.caltech.edu/CaltechAUTHORS:20201210-145907358

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Abstract

Context. In metric theories of gravity with photon number conservation, the luminosity and angular diameter distances are related via the Etherington relation, also known as the distance duality relation (DDR). A violation of this relation would rule out the standard cosmological paradigm and point to the presence of new physics. Aims. We quantify the ability of Euclid, in combination with contemporary surveys, to improve the current constraints on deviations from the DDR in the redshift range 0 <  z <  1.6. Methods. We start with an analysis of the latest available data, improving previously reported constraints by a factor of 2.5. We then present a detailed analysis of simulated Euclid and external data products, using both standard parametric methods (relying on phenomenological descriptions of possible DDR violations) and a machine learning reconstruction using genetic algorithms. Results. We find that for parametric methods Euclid can (in combination with external probes) improve current constraints by approximately a factor of six, while for non-parametric methods Euclid can improve current constraints by a factor of three. Conclusions. Our results highlight the importance of surveys like Euclid in accurately testing the pillars of the current cosmological paradigm and constraining physics beyond the standard cosmological model.


Item Type:Article
Related URLs:
URLURL TypeDescription
https://doi.org/10.1051/0004-6361/202039078DOIArticle
https://arxiv.org/abs/2007.16153arXivDiscussion Paper
ORCID:
AuthorORCID
Rhodes, J.0000-0002-4485-8549
Additional Information:© 2020 ESO. Article published by EDP Sciences. Received 31 July 2020; Accepted 5 October 2020; Published online 02 December 2020. This paper is published on behalf of the Euclid Consortium. We are grateful to P. Astier for useful discussions and to T. Baker, G. Castignani and P. Ntelis for comments on the manuscript. MM has received the support of a fellowship from “la Caixa” Foundation (ID 100010434), with fellowship code LCF/BQ/PI19/11690015, and the support of the Spanish Agencia Estatal de Investigacion through the grant “IFT Centro de Excelencia Severo Ochoa SEV-2016-0597”. The work of CJM was financed by FEDER – Fundo Europeu de Desenvolvimento Regional funds through the COMPETE 2020 – Operational Programme for Competitiveness and Internationalisation (POCI), and by Portuguese funds through FCT - Fundação para a Ciência e a Tecnologia in the framework of the project POCI-01-0145-FEDER-028987. S.N. acknowledges support from the research project PGC2018-094773-B-C32, the Centro de Excelencia Severo Ochoa Program SEV-2016-059 and the Ramón y Cajal program through Grant No. RYC-2014-15843. D.S. acknowledges financial support from the Fondecyt Regular project number 1200171. I.T. acknowledges support from the Spanish Ministry of Science, Innovation and Universities through grant ESP2017-89838-C3-1-R, and the H2020 programme of the European Commission through grant 776247. A.A. acknowledges support from the Science and Technology Facilities Council (STFC) grant ST/P000703/1. V.Y. acknowledges funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No. 769130) The Euclid Consortium acknowledges 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 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 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).
Group:Infrared Processing and Analysis Center (IPAC)
Funders:
Funding AgencyGrant Number
La Caixa Foundation100010434
La Caixa FoundationLCF/BQ/PI19/11690015
Centro de Excelencia Severo OchoaSEV-2016-0597
Fondo Europeo de Desarrollo Regional (FEDER)COMPETE 2020
Fundação para a Ciência e a Tecnologia (FCT)POCI-01-0145-FEDER-028987
Fondo Europeo de Desarrollo Regional (FEDER)PGC2018-094773-B-C32
Ramón y Cajal ProgrammeRYC-2014-15843
Fondo Nacional de Desarrollo Científico y Tecnológico (FONDECYT)1200171
Ministerio de Ciencia, Innovación y Universidades (MICIU)ESP2017-89838-C3-1-R
European Research Council (ERC)776247
Science and Technology Facilities Council (STFC)ST/P000703/1
European Research Council (ERC)769130
European Space Agency (ESA)UNSPECIFIED
Academy of FinlandUNSPECIFIED
Agenzia Spaziale Italiana (ASI)UNSPECIFIED
Belgian Federal Science Policy Office (BELSPO)UNSPECIFIED
Canadian Euclid ConsortiumUNSPECIFIED
Centre National de la Recherche Scientifique (CNRS)UNSPECIFIED
Deutsches Zentrum für Luft- und Raumfahrt (DLR)UNSPECIFIED
Danish Space Research InstituteUNSPECIFIED
Ministerio de Economía y Competitividad (MINECO)UNSPECIFIED
NASAUNSPECIFIED
Nederlandse Organisatie voor Wetenschappelijk Onderzoek (NWO)UNSPECIFIED
Norwegian Space AgencyUNSPECIFIED
Romanian Space AgencyUNSPECIFIED
State Secretariat for Education, Research and Innovation (SER)UNSPECIFIED
Swiss Space Office (SSO)UNSPECIFIED
United Kingdom Space Agency (UKSA)UNSPECIFIED
Subject Keywords:cosmology: observations – cosmological parameters – surveys – methods: data analysis – methods: statistical – space vehicles: instruments
Record Number:CaltechAUTHORS:20201210-145907358
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20201210-145907358
Official Citation:Euclid: Forecast constraints on the cosmic distance duality relation with complementary external probes. M. Martinelli, C. J. A. P. Martins, S. Nesseris, D. Sapone, I. Tutusaus, A. Avgoustidis, S. Camera, C. Carbone, S. Casas, S. Ilić, Z. Sakr, V. Yankelevich, N. Auricchio, A. Balestra, C. Bodendorf, D. Bonino, E. Branchini, M. Brescia, J. Brinchmann, V. Capobianco, J. Carretero, M. Castellano, S. Cavuoti, R. Cledassou, G. Congedo, L. Conversi, L. Corcione, F. Dubath, A. Ealet, M. Frailis, E. Franceschi, M. Fumana, B. Garilli, B. Gillis, C. Giocoli, F. Grupp, S. V. H. Haugan, W. Holmes, F. Hormuth, K. Jahnke, S. Kermiche, M. Kilbinger, T. D. Kitching, B. Kubik, M. Kunz, H. Kurki-Suonio, S. Ligori, P. B. Lilje, I. Lloro, O. Marggraf, K. Markovic, R. Massey, S. Mei, M. Meneghetti, G. Meylan, L. Moscardini, S. Niemi, C. Padilla, S. Paltani, F. Pasian, V. Pettorino, S. Pires, G. Polenta, M. Poncet, L. Popa, L. Pozzetti, F. Raison, J. Rhodes, M. Roncarelli, R. Saglia, P. Schneider, A. Secroun, S. Serrano, C. Sirignano, G. Sirri, F. Sureau, A. N. Taylor, I. Tereno, R. Toledo-Moreo, L. Valenziano, T. Vassallo, Y. Wang, N. Welikala, J. Weller and A. Zacchei. A&A, 644 (2020) A80; DOI: https://doi.org/10.1051/0004-6361/202039078
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:107018
Collection:CaltechAUTHORS
Deposited By: Tony Diaz
Deposited On:10 Dec 2020 23:20
Last Modified:10 Dec 2020 23:20

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