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

Pocino, A.; Tutusaus, I.; Castander, F.J.; Fosalba, P.; Crocce, M.; Porredon, A.; Camera, S.; Cardone, V.; Casas, S.; Kitching, T.; Lacasa, F.; Martinelli, M.; Pourtsidou, A.; Sakr, Z.; Andreon, S.; Auricchio, N.; Baccigalupi, C.; Balaguera-Antolínez, A.; Baldi, M.; Balestra, A.; Bardelli, S.; Bender, R.; Biviano, A.; Bodendorf, C.; Bonino, D.; Boucaud, A.; Bozzo, E.; Branchini, E.; Brescia, M.; Brinchmann, J.; Burigana, C.; Cabanac, R.; Capobianco, V.; Cappi, A.; Carvalho, C.S.; Castellano, M.; Castignani, G.; Cavuoti, S.; Cimatti, A.; Cledassou, R.; Colodro-Conde, C.; Congedo, G.; Conselice, C.J.; Conversi, L.; Copin, Y.; Corcione, L.; Costille, A.; Coupon, J.; Courtois, H.M.; Cropper, M.; Cuby, J.-G.; Da Silva, A.; de la Torre, S.; Di Ferdinando, D.; Dubath, F.; Duncan, C.; Dupac, X.; Dusini, S.; Farrens, S.; Ferreira, P.G.; Ferrero, I.; Finelli, F.; Fotopoulou, S.; Frailis, M.; Franceschi, E.; Galeotta, S.; Garilli, B.; Gillard, W.; Gillis, B.; Giocoli, C.; Gozaliasl, G.; Graciá-Carpio, J.; Grupp, F.; Guzzo, L.; Holmes, W.; Hormuth, F.; Jahnke, K.; Keihanen, E.; Kermiche, S.; Kiessling, A.; Kirkpatrick, C.C.; Kunz, M.; Kurki-Suonio, H.; Ligori, S.; Lilje, P.B.; Lloro, I.; Maino, D.; Maiorano, E.; Mansutti, O.; Marggraf, O.; Martinet, N.; Marulli, F.; Massey, R.; Maurogordato, S.; Medinaceli, E.; Mei, S.; Meneghetti, M.; Benton Metcalf, R.; Meylan, G.; Moresco, M.; Morin, B.; Moscardini, L.; Munari, E.; Nakajima, R.; Neissner, C.; Nichol, R.C.; Niemi, S.; Nightingale, J.; Padilla, C.; Paltani, S.; Pasian, F.; Patrizii, L.; Pedersen, K.; Percival, W.J.; Pettorino, V.; Pires, S.; Polenta, G.; Poncet, M.; Popa, L.; Potter, D.; Pozzetti, L.; Raison, F.; Renzi, A.; Rhodes, J.; Riccio, G.; Romelli, E.; Roncarelli, M.; Rossetti, E.; Saglia, R.; Sánchez, A.G.; Sapone, D.; Scaramella, R.; Schneider, P.; Scottez, V.; Secroun, A.; Seidel, G.; Serrano, S.; Sirignano, C.; Sirri, G.; Stanco, L.; Sureau, F.; Taylor, A.N.; Tenti, M.; Tereno, I.; Teyssier, R.; Toledo-Moreo, R.; Tramacere, A.; Valentijn, E.A.; Valenziano, L.; Valiviita, J.; Vassallo, T.; Viel, M.; Wang, Y.; Welikala, N.; Whittaker, L.; Zacchei, A.; Zamorani, G.; Zoubian, J.; Zucca, E.

doi:10.1051/0004-6361/202141061

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

Pocino, A.; Tutusaus, I.; Castander, F.J.; Fosalba, P.; Crocce, M.; Porredon, A.; Camera, S.; Cardone, V.; Casas, S.; Kitching, T.; Lacasa, F.; Martinelli, M.; Pourtsidou, A.; Sakr, Z.; Andreon, S.; Auricchio, N.; Baccigalupi, C.; Balaguera-Antolínez, A.; Baldi, M.; Balestra, A.; Bardelli, S.; Bender, R.; Biviano, A.; Bodendorf, C.; Bonino, D.; Boucaud, A.; Bozzo, E.; Branchini, E.; Brescia, M.; Brinchmann, J.; Burigana, C.; Cabanac, R.; Capobianco, V.; Cappi, A.; Carvalho, C.S.; Castellano, M.; Castignani, G.; Cavuoti, S.; Cimatti, A.; Cledassou, R.; Colodro-Conde, C.; Congedo, G.; Conselice, C.J.; Conversi, L.; Copin, Y.; Corcione, L.; Costille, A.; Coupon, J.; Courtois, H.M.; Cropper, M.; Cuby, J.-G.; Da Silva, A.; de la Torre, S.; Di Ferdinando, D.; Dubath, F.; Duncan, C.; Dupac, X.; Dusini, S.; Farrens, S.; Ferreira, P.G.; Ferrero, I.; Finelli, F.; Fotopoulou, S.; Frailis, M.; Franceschi, E.; Galeotta, S.; Garilli, B.; Gillard, W.; Gillis, B.; Giocoli, C.; Gozaliasl, G.; Graciá-Ca...

Authors

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

Professor Richard Massey r.j.massey@durham.ac.uk
Professor

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

James Nightingale james.w.nightingale@durham.ac.uk
Academic Visitor

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

E. Zucca

Abstract

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 (GCph) 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 GCph 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 GCph and its combination with GGL, respectively. For GCph, 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 GCph 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.

Citation

Pocino, A., Tutusaus, I., Castander, F., Fosalba, P., Crocce, M., Porredon, A., …Zucca, E. (2021). Euclid preparation: XII. Optimizing the photometric sample of the Euclid survey for galaxy clustering and galaxy-galaxy lensing analyses. Astronomy & Astrophysics, 655, Article A44. https://doi.org/10.1051/0004-6361/202141061

Journal Article Type	Article
Acceptance Date	Jul 5, 2021
Online Publication Date	Nov 11, 2021
Publication Date	2021-11
Deposit Date	Dec 6, 2021
Publicly Available Date	Dec 6, 2021
Journal	Astronomy & Astrophysics
Print ISSN	0004-6361
Electronic ISSN	1432-0746
Publisher	EDP Sciences
Peer Reviewed	Peer Reviewed
Volume	655
Article Number	A44
DOI	https://doi.org/10.1051/0004-6361/202141061