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Euclid preparation LXIII. Simulations and nonlinearities beyond ΛCDM. 2. Results from non-standard simulations

Title:	Euclid preparation LXIII. Simulations and nonlinearities beyond ΛCDM. 2. Results from non-standard simulations
Authors:	null, null; Rácz, G.; Breton, M. -A.; Fiorini, B.; Le Brun, A. M. C.; Winther, H. -A.; Sakr, Z.; Pizzuti, L.; Ragagnin, A.; Gayoux, T.; Altamura, E.; Carella, E.; Pardede, K.; Verza, G.; Koyama, K.; Baldi, M.; Pourtsidou, A.; Vernizzi, F.; Adame, A. G.; Adamek, J.; Avila, S.; Carbone, C.; Despali, G.; Giocoli, C.; Hernández-Aguayo, C.; Hassani, F.; Kunz, M.; Li, B.; Rasera, Y.; Yepes, G.; Gonzalez-Perez, V.; Corasaniti, P. -S.; García-Bellido, J.; Hamaus, N.; Kiessling, A.; Marinucci, M.; Moretti, C.; Mota, D. F.; Piga, L.; Pisani, A.; Szapudi, I.; Tallada-Crespí, P.; Aghanim, N.; Andreon, S.; Baccigalupi, C.; Bardelli, S.; Bonino, D.; Branchini, E.; Brescia, M.; Brinchmann, J.; Camera, S.; Capobianco, V.; Cardone, V. F.; Carretero, J.; Casas, S.; Castellano, M.; Castignani, G.; Cavuoti, S.; Cimatti, A.; Colodro-Conde, C.; Congedo, G.; Conselice, C. J.; Conversi, L.; Copin, Y.; Courbin, F.; Courtois, H. M.; Da Silva, A.; Degaudenzi, H.; De Lucia, G.; Douspis, M.; Dubath, F.; Duncan, C. A. J.; Dupac, X.; Dusini, S.; Ealet, A.; Farina, M.; Farrens, S.; Ferriol, S.; Fosalba, P.; Frailis, M.; Franceschi, E.; Fumana, M.; Galeotta, S.; Gillis, B.; Gómez-Alvarez, P.; Grazian, A.; Grupp, F.; Haugan, S. V. H.; Holmes, W.; Hormuth, F.; Hornstrup, A.; Ilić, S.; Jahnke, K.; Jhabvala, M.; Joachimi, B.; Keihänen, E.; Kermiche, S.; Kilbinger, M.; Kitching, T.; Kubik, B.; Kurki-Suonio, H.; Lilje, P. B.; Lindholm, V.; Lloro, I.; Mainetti, G.; Maiorano, E.; Mansutti, O.; Marggraf, O.; Markovic, K.; Martinelli, M.; Martinet, N.; Marulli, F.; Massey, R.; Medinaceli, E.; Mei, S.; Mellier, Y.; Meneghetti, M.; Meylan, G.; Moresco, M.; Moscardini, L.; Niemi, S. -M.; Padilla, C.; Paltani, S.; Pasian, F.; Pedersen, K.; Percival, W. J.; Pettorino, V.; Pires, S.; Polenta, G.; Poncet, M.; Popa, L. A.; Raison, F.; Rebolo, R.; Renzi, A.; Rhodes, J.; Riccio, G.; Romelli, E.; Roncarelli, M.; Saglia, R.; Salvignol, J. -C.; Sánchez, A. G.; Sapone, D.; Sartoris, B.; Schirmer, M.; Schrabback, T.; Secroun, A.; Seidel, G.; Serrano, S.; Sirignano, C.; Sirri, G.; Stanco, L.; Steinwagner, J.; Taylor, A. N.; Tereno, I.; Toledo-Moreo, R.; Torradeflot, F.; Tutusaus, I.; Valenziano, L.; Vassallo, T.; Verdoes Kleijn, G.; Wang, Y.; Weller, J.; Zucca, E.; Biviano, A.; Boucaud, A.; Bozzo, E.; Burigana, C.; Calabrese, M.; Di Ferdinando, D.; Escartin Vigo, J. A.; Fabbian, G.; Finelli, F.; Gracia-Carpio, J.; Matthew, S.; Mauri, N.; Pezzotta, A.; Pöntinen, M.; Porciani, C.; Scottez, V.; Tenti, M.; Viel, M.; Wiesmann, M.; Akrami, Y.; Allevato, V.; Anselmi, S.; Archidiacono, M.; Atrio-Barandela, F.; Balaguera-Antolinez, A.; Ballardini, M.; Bertacca, D.; Blot, L.; Borgani, S.; Bruton, S.; Cabanac, R.; Calabro, A.; Camacho Quevedo, B.; Cappi, A.; Caro, F.; Carvalho, C. S.; Castro, T.; Chambers, K. C.; Contarini, S.; Cooray, A. R.; De Caro, B.; de la Torre, S.; Desprez, G.; Díaz-Sánchez, A.; Diaz, J. J.; Di Domizio, S.; Dole, H.; Escoffier, S.; Ferrari, A. G.; Ferreira, P. G.; Ferrero, I.; Fontana, A.; Fornari, F.; Gabarra, L.; Ganga, K.; Gasparetto, T.; Gaztanaga, E.; Giacomini, F.; Gianotti, F.; Gozaliasl, G.; Gutierrez, C. M.; Hall, A.; Hildebrandt, H.; Hjorth, J.; Jimenez Muñoz, A.; Kajava, J. J. E.; Kansal, V.; Karagiannis, D.; Kirkpatrick, C. C.; Lacasa, F.; Le Graet, J.; Legrand, L.; Lesgourgues, J.; Liaudat, T. I.; Loureiro, A.; Macias-Perez, J.; Maggio, G.; Magliocchetti, M.; Mannucci, F.; Maoli, R.; Martins, C. J. A. P.; Maurin, L.; Metcalf, R. B.; Miluzio, M.; Monaco, P.; Montoro, A.; Mora, A.; Morgante, G.; Nadathur, S.; Patrizii, L.; Popa, V.; Potter, D.; Reimberg, P.; Risso, I.; Rocci, P. -F.; Sahlén, M.; Schneider, A.; Sereno, M.; Silvestri, A.; Spurio Mancini, A.; Stadel, J.; Tanidis, K.; Tao, C.; Tessore, N.; Testera, G.; Teyssier, R.; Toft, S.; Tosi, S.; Troja, A.; Tucci, M.; Valieri, C.; Valiviita, J.; Vergani, D.; Vielzeuf, P.; Walton, N. A.
Contributors:	Null, Null; Rácz, G.; Breton, M. -A.; Fiorini, B.; Le Brun, A. M. C.; Winther, H. -A.; Sakr, Z.; Pizzuti, L.; Ragagnin, A.; Gayoux, T.; Altamura, E.; Carella, E.; Pardede, K.; Verza, G.; Koyama, K.; Baldi, M.; Pourtsidou, A.; Vernizzi, F.; Adame, A. G.; Adamek, J.; Avila, S.; Carbone, C.; Despali, G.; Giocoli, C.; Hernández-Aguayo, C.; Hassani, F.; Kunz, M.; Li, B.; Rasera, Y.; Yepes, G.; Gonzalez-Perez, V.; Corasaniti, P. -S.; García-Bellido, J.; Hamaus, N.; Kiessling, A.; Marinucci, M.; Moretti, C.; Mota, D. F.; Piga, L.; Pisani, A.; Szapudi, I.; Tallada-Crespí, P.; Aghanim, N.; Andreon, S.; Baccigalupi, C.; Bardelli, S.; Bonino, D.; Branchini, E.; Brescia, M.; Brinchmann, J.; Camera, S.; Capobianco, V.; Cardone, V. F.; Carretero, J.; Casas, S.; Castellano, M.; Castignani, G.; Cavuoti, S.; Cimatti, A.; Colodro-Conde, C.; Congedo, G.; Conselice, C. J.; Conversi, L.; Copin, Y.; Courbin, F.; Courtois, H. M.; Da Silva, A.; Degaudenzi, H.; De Lucia, G.; Douspis, M.; Dubath, F.; Duncan, C. A. J.; Dupac, X.; Dusini, S.; Ealet, A.; Farina, M.; Farrens, S.; Ferriol, S.; Fosalba, P.; Frailis, M.; Franceschi, E.; Fumana, M.; Galeotta, S.; Gillis, B.; Gómez-Alvarez, P.; Grazian, A.; Grupp, F.; Haugan, S. V. H.; Holmes, W.; Hormuth, F.; Hornstrup, A.; Ilić, S.; Jahnke, K.; Jhabvala, M.; Joachimi, B.; Keihänen, E.; Kermiche, S.; Kilbinger, M.; Kitching, T.; Kubik, B.
Publisher Information:	EDP SCIENCES S A
Publication Year:	2025
Collection:	Padua Research Archive (IRIS - Università degli Studi di Padova)
Subject Terms:	methods: numerical; cosmology: theory; dark matter; dark energy; large-scale structure of Universe
Description:	The Euclid mission will measure cosmological parameters with unprecedented precision. To distinguish between cosmological models, it is essential to generate realistic mock observables from cosmological simulations that were run in both the standard Lambda-cold-dark-matter (Lambda CDM) paradigm and in many non-standard models beyond Lambda CDM. We present the scientific results from a suite of cosmological N-body simulations using non-standard models including dynamical dark energy, k-essence, interacting dark energy, modified gravity, massive neutrinos, and primordial non-Gaussianities. We investigate how these models affect the large-scale-structure formation and evolution in addition to providing synthetic observables that can be used to test and constrain these models with Euclid data. We developed a custom pipeline based on the Rockstar halo finder and the nbodykit large-scale structure toolkit to analyse the particle output of non-standard simulations and generate mock observables such as halo and void catalogues, mass density fields, and power spectra in a consistent way. We compare these observables with those from the standard Lambda CDM model and quantify the deviations. We find that non-standard cosmological models can leave large imprints on the synthetic observables that we have generated. Our results demonstrate that non-standard cosmological N-body simulations provide valuable insights into the physics of dark energy and dark matter, which is essential to maximising the scientific return of Euclid.
Document Type:	article in journal/newspaper
Language:	English
Relation:	info:eu-repo/semantics/altIdentifier/wos/WOS:001489990400001; volume:695; journal:ASTRONOMY & ASTROPHYSICS; https://hdl.handle.net/11577/3556037
DOI:	10.1051/0004-6361/202452185
Availability:	https://hdl.handle.net/11577/3556037; https://doi.org/10.1051/0004-6361/202452185; https://www.aanda.org/articles/aa/full_html/2025/03/aa52185-24/aa52185-24.html
Rights:	info:eu-repo/semantics/openAccess ; license:Creative commons ; license uri:http://creativecommons.org/licenses/by/4.0/
Accession Number:	edsbas.B1C3EC0
Database:	BASE