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Issue Date	Title	Author(s)	Fulltext
2019	The bias of cosmic voids in the presence of massive neutrinos	Schuster, Nico; Hamaus, Nico; Pisani, Alice; CARBONE, Carmelita ; Kreisch, Christina D.; Pollina, Giorgia; Weller, Jochen	open
2018	CMB weak-lensing beyond the Born approximation: a numerical approach	Fabbian, Giulio; CALABRESE, MATTEO; CARBONE, Carmelita	open
2018	Cosmological constraints from galaxy clustering in the presence of massive neutrinos	Zennaro, M.; Bel, J.; Dossett, J.; CARBONE, Carmelita ; Guzzo, L.	open
2018	Cosmology and fundamental physics with the Euclid satellite	Amendola, Luca; Appleby, Stephen; Avgoustidis, Anastasios; Bacon, David; Baker, Tessa; BALDI, MARCO; Bartolo, Nicola; Blanchard, Alain; Bonvin, Camille; BORGANI, STEFANO , et al	open
2016	DEMNUni: ISW, Rees-Sciama, and weak-lensing in the presence of massive neutrinos	CARBONE, Carmelita ; Petkova, Margarita; Dolag, Klaus	open
2018	DEMNUni: massive neutrinos and the bispectrum of large scale structures	Ruggeri, Rossana; Castorina, Emanuele; CARBONE, Carmelita ; SEFUSATTI, Emiliano	mixedopen
2015	DEMNUni: the clustering of large-scale structures in the presence of massive neutrinos	Castorina, Emanuele; CARBONE, Carmelita ; Bel, Julien; SEFUSATTI, Emiliano ; Dolag, Klaus	open
2021	Detecting Dark Energy Fluctuations with Gravitational Waves	Alice Garoffolo; Marco Raveri; Alessandra Silvestri; Gianmassimo Tasinato; CARBONE, Carmelita ; Daniele Bertacca; MATARRESE, SABINO	open
2015	The effect of massive neutrinos on the Sunyaev-Zel'dovich and X-ray observables of galaxy clusters	Roncarelli, M.; CARBONE, Carmelita ; Moscardini, L.	open
2021	The effects of massive neutrinos on the linear point of the correlation function	Parimbelli, G.; Anselmi, S.; VIEL, MATTEO ; CARBONE, Carmelita ; Villaescusa-Navarro, F.; Corasaniti, P. S.; Rasera, Y.; Sheth, R.; Starkman, G. D.; Zehavi, I.	open
2021	Euclid : Effects of sample covariance on the number counts of galaxy clusters	Fumagalli, A.; SARO, ALEXANDRO ; BORGANI, STEFANO ; Castro, T.; Costanzi, M.; Monaco, Pierluigi ; Munari, Emiliano ; SEFUSATTI, Emiliano ; Amara, A.; AURICCHIO, NATALIA , et al	open
2019	Euclid preparation. V. Predicted yield of redshift 7 < z < 9 quasars from the wide survey	Euclid Collaboration; Barnett, R.; Warren, S. J.; Mortlock, D. J.; Cuby, J. -G.; Conselice, C.; Hewett, P. C.; Willott, C. J.; AURICCHIO, NATALIA ; Balaguera-Antolínez, A., et al	open
2020	Euclid preparation. VI. Verifying the Performance of Cosmic Shear Experiments (Corrigendum)	Euclid Collaboration; Paykari, P.; Kitching, T.; Hoekstra, H.; Azzollini, R.; CARDONE, Vincenzo Fabrizio ; Cropper, M.; Duncan, C. A. J.; Kannawadi, A.; Miller, L., et al	open
2020	Euclid preparation. VIII. The Complete Calibration of the Colour-Redshift Relation survey: VLT/KMOS observations and data release	Euclid Collaboration; Guglielmo, Valentina ; Saglia, R.; Castander, F. J.; Galametz, A.; Paltani, S.; Bender, R.; BOLZONELLA, MICOL ; Capak, P.; Ilbert, O., et al	open
2020	Euclid preparation. X. The Euclid photometric-redshift challenge	Euclid Collaboration; Desprez, G.; Paltani, S.; Coupon, J.; Almosallam, I.; Alvarez-Ayllon, A.; Amaro, V.; BRESCIA, Massimo ; Brodwin, M.; CAVUOTI, STEFANO , et al	open
2021	Euclid preparation. XI. Mean redshift determination from galaxy redshift probabilities for cosmic shear tomography	Euclid Collaboration; Ilbert, O.; de la Torre, S.; Martinet, N.; Wright, A. H.; Paltani, S.; Laigle, C.; Davidzon, I.; Jullo, E.; Hildebrandt, H., et al	open
2022	Euclid preparation. XIII. Forecasts for galaxy morphology with the Euclid Survey using deep generative models	Euclid Collaboration; Bretonnière, H.; Huertas-Company, M.; Boucaud, A.; Lanusse, F.; Jullo, E.; MERLIN, Emiliano ; Tuccillo, D.; CASTELLANO, MARCO ; Brinchmann, J., et al	open
2021	Euclid Preparation. XIV. The Complete Calibration of the Color-Redshift Relation (C3R2) Survey: Data Release 3	Stanford, S. A.; Masters, D.; Darvish, B.; Stern, D.; Cohen, J. G.; Capak, P.; Hernitschek, N.; Davidzon, I.; Rhodes, J.; Sanders, D. B., et al	open
2022	Euclid preparation. XV. Forecasting cosmological constraints for the Euclid and CMB joint analysis	Euclid Collaboration; Ilić, S.; Aghanim, N.; Baccigalupi, C.; BERMEJO CLIMENT, JOSE RAMON ; Fabbian, G.; Legrand, L.; PAOLETTI, DANIELA ; Ballardini, M.; Archidiacono, M., et al	open
2022	Euclid preparation. XVI. Exploring the ultra-low surface brightness Universe with Euclid/VIS	Euclid Collaboration; Borlaff, A. S.; Gómez-Alvarez, P.; Altieri, B.; Marcum, P. M.; Vavrek, R.; Laureijs, R.; Kohley, R.; Buitrago, F.; Cuillandre, J. -C., et al	open

Showing results 3 to 22 of 42 < previous next >