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Euclid preparation. XII. Optimizing the photometric sample of the Euclid survey for galaxy clustering and galaxy-galaxy lensing analyses

Pocino, A. and Tutusaus, I. and Castander, F. J. and Fosalba, P. and Crocce, M. and Porredon, A. and Camera, S. and Cardone, V. and Casas, S. and Kitching, T. and Lacasa, F. and Martinelli, M. and Pourtsidou, A. and Sakr, Z. and Andreon, S. and Auricchio, N. and Baccigalupi, C. and Balaguera-Antolínez, A. and Baldi, M. and Balestra, A. and Bardelli, S. and Bender, R. and Biviano, A. and Bodendorf, C. and Bonino, D. and Boucaud, A. and Bozzo, E. and Branchini, E. and Brescia, M. and Brinchmann, J. and Burigana, C. and Cabanac, R. and Capobianco, V. and Cappi, A. and Carvalho, C. S. and Castellano, M. and Castignani, G. and Cavuoti, S. and Cimatti, A. and Cledassou, R. and Colodro-Conde, C. and Congedo, G. and Conselice, C. J. and Conversi, L. and Copin, Y. and Corcione, L. and Costille, A. and Coupon, J. and Courtois, H. M. and Cropper, M. and Cuby, J.-G. and Da Silva, A. and de la Torre, S. and Di Ferdinando, D. and Dubath, F. and Duncan, C. and Dupac, X. and Dusini, S. and Farrens, S. and Ferreira, P. G. and Ferrero, I. and Finelli, F. and Fotopoulou, S. and Frailis, M. and Franceschi, E. and Galeotta, S. and Garilli, B. and Gillard, W. and Gillis, B. and Giocoli, C. and Gozaliasl, G. and Graciá-Carpio, J. and Grupp, F. and Guzzo, L. and Holmes, W. and Hormuth, F. and Jahnke, K. and Keihanen, E. and Kermiche, S. and Kiessling, A. and Kirkpatrick, C. C. and Kunz, M. and Kurki-Suonio, H. and Ligori, S. and Lilje, P. B. and Lloro, I. and Maino, D. and Maiorano, E. and Mansutti, O. and Marggraf, O. and Martinet, N. and Marulli, F. and Massey, R. and Maurogordato, S. and Medinaceli, E. and Mei, S. and Meneghetti, M. and Metcalf, R. Benton and Meylan, G. and Moresco, M. and Morin, B. and Moscardini, L. and Munari, E. and Nakajima, R. and Neissner, C. and Nichol, R. C. and Niemi, S. and Nightingale, J. and Padilla, C. and Paltani, S. and Pasian, F. and Patrizii, L. and Pedersen, K. and Percival, W. J. and Pettorino, V. and Pires, S. and Polenta, G. and Poncet, M. and Popa, L. and Potter, D. and Pozzetti, L. and Raison, F. and Renzini, A. and Rhodes, J. and Riccio, G. and Romelli, E. and Roncarelli, M. and Rossetti, E. and Saglia, R. and Sánchez, A. G. and Sapone, D. and Scaramella, R. and Schneider, P. and Scottez, V. and Secroun, A. and Seidel, G. and Serrano, S. and Sirignano, C. and Sirri, G. and Stanco, L. and Sureau, F. and Taylor, A. N. and Tenti, M. and Tereno, I. and Teyssier, R. and Toledo-Moreo, R. and Tramacere, A. and Valentijn, E. A. and Valenziano, L. and Valiviita, J. and Vassallo, T. and Viel, M. and Wang, Y. and Welikala, N. and Whittaker, L. and Zacchei, A. and Zamorani, G. and Zoubian, J. and Zucca, E. (2021) Euclid preparation. XII. Optimizing the photometric sample of the Euclid survey for galaxy clustering and galaxy-galaxy lensing analyses. Astronomy and Astrophysics, 655 . Art. No. A44. ISSN 0004-6361. doi:10.1051/0004-6361/202141061.

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Photometric redshifts (photo-zs) are one of the main ingredients in the analysis of cosmological probes. Their accuracy particularly affects the results of the analyses of galaxy clustering with photometrically selected galaxies (GC_(ph)) and weak lensing. In the next decade, space missions such as Euclid will collect precise and accurate photometric measurements for millions of galaxies. These data should be complemented with upcoming ground-based observations to derive precise and accurate photo-zs. In this article we explore how the tomographic redshift binning and depth of ground-based observations will affect the cosmological constraints expected from the Euclid mission. We focus on GC_(ph) and extend the study to include galaxy-galaxy lensing (GGL). We add a layer of complexity to the analysis by simulating several realistic photo-z distributions based on the Euclid Consortium Flagship simulation and using a machine learning photo-z algorithm. We then use the Fisher matrix formalism together with these galaxy samples to study the cosmological constraining power as a function of redshift binning, survey depth, and photo-z accuracy. We find that bins with an equal width in redshift provide a higher figure of merit (FoM) than equipopulated bins and that increasing the number of redshift bins from ten to 13 improves the FoM by 35% and 15% for GC_(ph) and its combination with GGL, respectively. For GC_(ph), an increase in the survey depth provides a higher FoM. However, when we include faint galaxies beyond the limit of the spectroscopic training data, the resulting FoM decreases because of the spurious photo-zs. When combining GC_(ph) and GGL, the number density of the sample, which is set by the survey depth, is the main factor driving the variations in the FoM. Adding galaxies at faint magnitudes and high redshift increases the FoM, even when they are beyond the spectroscopic limit, since the number density increase compensates for the photo-z degradation in this case. We conclude that there is more information that can be extracted beyond the nominal ten tomographic redshift bins of Euclid and that we should be cautious when adding faint galaxies into our sample since they can degrade the cosmological constraints.

Item Type:Article
Related URLs:
URLURL TypeDescription Paper
Tutusaus, I.0000-0002-3199-0399
Castander, F. J.0000-0001-7316-4573
Fosalba, P.0000-0002-1510-5214
Porredon, A.0000-0002-2762-2024
Camera, S.0000-0003-3399-3574
Kitching, T.0000-0002-4061-4598
Pourtsidou, A.0000-0001-9110-5550
Andreon, S.0000-0002-2041-8784
Auricchio, N.0000-0003-4444-8651
Baccigalupi, C.0000-0002-8211-1630
Balaguera-Antolínez, A.0000-0001-5028-3035
Baldi, M.0000-0003-4145-1943
Balestra, A.0000-0002-6967-261X
Bardelli, S.0000-0002-8900-0298
Bender, R.0000-0001-7179-0626
Biviano, A.0000-0002-0857-0732
Bonino, D.0000-0002-3336-9977
Boucaud, A.0000-0001-7387-2633
Bozzo, E.0000-0002-7504-7423
Branchini, E.0000-0002-0808-6908
Brescia, M.0000-0001-9506-5680
Brinchmann, J.0000-0003-4359-8797
Burigana, C.0000-0002-3005-5796
Cabanac, R.0000-0001-6679-2600
Capobianco, V.0000-0002-3309-7692
Cappi, A.0000-0002-9200-7167
Castellano, M.0000-0001-9875-8263
Castignani, G.0000-0001-6831-0687
Cavuoti, S.0000-0002-3787-4196
Cimatti, A.0000-0002-4409-5633
Cledassou, R.0000-0002-8313-2230
Congedo, G.0000-0003-2508-0046
Conselice, C. J.0000-0003-1949-7638
Conversi, L.0000-0002-6710-8476
Copin, Y.0000-0002-5317-7518
Corcione, L.0000-0002-6497-5881
Courtois, H. M.0000-0003-0509-1776
Cropper, M.0000-0003-4571-9468
Cuby, J.-G.0000-0002-8767-1442
de la Torre, S.0000-0002-0839-2884
Dusini, S.0000-0002-1128-0664
Farrens, S.0000-0002-9594-9387
Ferrero, I.0000-0002-1295-1132
Finelli, F.0000-0002-6694-3269
Fotopoulou, S.0000-0002-9686-254X
Frailis, M.0000-0002-7400-2135
Franceschi, E.0000-0002-0585-6591
Galeotta, S.0000-0002-3748-5115
Garilli, B.0000-0001-7455-8750
Gillard, W.0000-0003-4744-9748
Gillis, B.0000-0002-4478-1270
Giocoli, C.0000-0002-9590-7961
Gozaliasl, G.0000-0002-0236-919X
Graciá-Carpio, J.0000-0003-4689-3134
Jahnke, K.0000-0003-3804-2137
Keihanen, E.0000-0003-1804-7715
Kermiche, S.0000-0002-0302-5735
Kunz, M.0000-0003-1676-6126
Kurki-Suonio, H.0000-0002-4618-3063
Ligori, S.0000-0003-4172-4606
Lloro, I.0000-0001-5966-1434
Maino, D.0000-0002-4761-1242
Maiorano, E.0000-0003-2593-4355
Mansutti, O.0000-0001-5758-4658
Marggraf, O.0000-0001-7242-3852
Martinet, N.0000-0003-2786-7790
Marulli, F.0000-0002-8850-0303
Massey, R.0000-0002-6085-3780
Medinaceli, E.0000-0002-4040-7783
Meneghetti, M.0000-0003-1225-7084
Metcalf, R. Benton0000-0003-3167-2574
Moresco, M.0000-0002-7616-7136
Moscardini, L.0000-0002-3473-6716
Neissner, C.0000-0001-8524-4968
Nichol, R. C.0000-0003-0939-6518
Nightingale, J.0000-0002-8987-7401
Padilla, C.0000-0001-7951-0166
Paltani, S.0000-0002-8108-9179
Patrizii, L.0000-0002-9712-977X
Percival, W. J.0000-0002-0644-5727
Pettorino, V.0000-0002-4203-9320
Pires, S.0000-0002-0249-2104
Polenta, G.0000-0003-4067-9196
Pozzetti, L.0000-0001-7085-0412
Renzini, A.0000-0002-7093-7355
Rhodes, J.0000-0002-4485-8549
Riccio, G.0000-0001-7020-1172
Romelli, E.0000-0003-3069-9222
Roncarelli, M.0000-0001-9587-7822
Saglia, R.0000-0003-0378-7032
Sánchez, A. G.0000-0003-1198-831X
Sapone, D.0000-0001-7089-4503
Scaramella, R.0000-0003-2229-193X
Schneider, P.0000-0002-5094-2245
Secroun, A.0000-0003-0505-3710
Tenti, M.0000-0002-4254-5901
Tereno, I.0000-0002-4537-6218
Teyssier, R.0000-0001-7689-0933
Toledo-Moreo, R.0000-0002-2997-4859
Tramacere, A.0000-0002-8186-3793
Valentijn, E. A.0000-0003-1032-6680
Valenziano, L.0000-0002-1170-0104
Valiviita, J.0000-0001-6225-3693
Viel, M.0000-0002-2642-5707
Wang, Y.0000-0002-4749-2984
Zacchei, A.0000-0003-0396-1192
Zamorani, G.0000-0002-2318-301X
Zucca, E.0000-0002-5845-8132
Additional Information:© ESO 2021. Article published by EDP Sciences. Received 12 April 2021; Accepted 5 July 2021; Published online 11 November 2021. A. Pocino acknowledges financial support from the Secretaria d’Universitats i Recerca del Departament d’Empresa i Coneixement de la Generalitat de Catalunya with additional funding from the European FEDER/ERF funds, L’FSE inverteix en el teu futur. I. Tutusaus acknowledges support from the Spanish Ministry of Science, Innovation and Universities through grant ESP2017-89838, and the H2020 programme of the European Commission through grant 776247. S. Camera acknowledges support from the ‘Departments of Excellence 2018-2022’ Grant awarded by the Italian Ministry of Education, University and Research (MIUR) L. 232/2016. S. Camera is supported by MIUR through Rita Levi Montalcini project ‘PROMETHEUS – Probing and Relating Observables with Multi-wavelength Experiments To Help Enlightening the Universe’s Structure’. A. Pourtsidou is a UK Research and Innovation Future Leaders Fellow, grant MR/S016066/1. 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 Luftund 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 (
Group:Infrared Processing and Analysis Center (IPAC)
Funding AgencyGrant Number
Generalitat de CatalunyaUNSPECIFIED
Fondo Europeo de Desarrollo Regional (FEDER)UNSPECIFIED
Ministerio de Ciencia, Innovación y Universidades (MICIU)ESP2017-89838-C3-1-R
European Research Council (ERC)776247
Ministero dell'Istruzione, dell'Universita e della Ricerca (MIUR)232/2016
UK Research and InnovationMR/S016066/1
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 d'Études Spatiales (CNES)UNSPECIFIED
Deutsches Zentrum für Luft- und Raumfahrt (DLR)UNSPECIFIED
Danish Space Research InstituteUNSPECIFIED
Fundação para a Ciência e a Tecnologia (FCT)UNSPECIFIED
Ministerio de Economía y Competitividad (MINECO)UNSPECIFIED
Nederlandse Organisatie voor Wetenschappelijk Onderzoek (NWO)UNSPECIFIED
Norwegian Space AgencyUNSPECIFIED
Romanian Space AgencyUNSPECIFIED
State Secretariat for Education, Research and Innovation (SERI)UNSPECIFIED
Swiss Space Office (SSO)UNSPECIFIED
United Kingdom Space Agency (UKSA)UNSPECIFIED
Subject Keywords:galaxies: distances and redshifts – techniques: photometric – cosmological parameters – surveys
Record Number:CaltechAUTHORS:20211123-184609295
Persistent URL:
Official Citation:Euclid preparation - XII. Optimizing the photometric sample of the Euclid survey for galaxy clustering and galaxy-galaxy lensing analyses. Euclid Collaboration, A. Pocino, I. Tutusaus, F. J. Castander, P. Fosalba, M. Crocce, A. Porredon, S. Camera, V. Cardone, S. Casas, T. Kitching, F. Lacasa, M. Martinelli, A. Pourtsidou, Z. Sakr, S. Andreon, N. Auricchio, C. Baccigalupi, A. Balaguera-Antolínez, M. Baldi, A. Balestra, S. Bardelli, R. Bender, A. Biviano, C. Bodendorf, D. Bonino, A. Boucaud, E. Bozzo, E. Branchini, M. Brescia, J. Brinchmann, C. Burigana, R. Cabanac, V. Capobianco, A. Cappi, C. S. Carvalho, M. Castellano, G. Castignani, S. Cavuoti, A. Cimatti, R. Cledassou, C. Colodro-Conde, G. Congedo, C. J. Conselice, L. Conversi, Y. Copin, L. Corcione, A. Costille, J. Coupon, H. M. Courtois, M. Cropper, J.-G. Cuby, A. Da Silva, S. de la Torre, D. Di Ferdinando, F. Dubath, C. Duncan, X. Dupac, S. Dusini, S. Farrens, P. G. Ferreira, I. Ferrero, F. Finelli, S. Fotopoulou, M. Frailis, E. Franceschi, S. Galeotta, B. Garilli, W. Gillard, B. Gillis, C. Giocoli, G. Gozaliasl, J. Graciá-Carpio, F. Grupp, L. Guzzo, W. Holmes, F. Hormuth, K. Jahnke, E. Keihanen, S. Kermiche, A. Kiessling, C. C. Kirkpatrick, M. Kunz, H. Kurki-Suonio, S. Ligori, P. B. Lilje, I. Lloro, D. Maino, E. Maiorano, O. Mansutti, O. Marggraf, N. Martinet, F. Marulli, R. Massey, S. Maurogordato, E. Medinaceli, S. Mei, M. Meneghetti, R. Benton Metcalf, G. Meylan, M. Moresco, B. Morin, L. Moscardini, E. Munari, R. Nakajima, C. Neissner, R. C. Nichol, S. Niemi, J. Nightingale, C. Padilla, S. Paltani, F. Pasian, L. Patrizii, K. Pedersen, W. J. Percival, V. Pettorino, S. Pires, G. Polenta, M. Poncet, L. Popa, D. Potter, L. Pozzetti, F. Raison, A. Renzi, J. Rhodes, G. Riccio, E. Romelli, M. Roncarelli, E. Rossetti, R. Saglia, A. G. Sánchez, D. Sapone, R. Scaramella, P. Schneider, V. Scottez, A. Secroun, G. Seidel, S. Serrano, C. Sirignano, G. Sirri, L. Stanco, F. Sureau, A. N. Taylor, M. Tenti, I. Tereno, R. Teyssier, R. Toledo-Moreo, A. Tramacere, E. A. Valentijn, L. Valenziano, J. Valiviita, T. Vassallo, M. Viel, Y. Wang, N. Welikala, L. Whittaker, A. Zacchei, G. Zamorani, J. Zoubian and E. Zucca. A&A, 655 (2021) A44; DOI:
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ID Code:112011
Deposited By: Tony Diaz
Deposited On:23 Nov 2021 21:13
Last Modified:24 Nov 2021 15:04

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