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Issue Date	Title	Author(s)	Fulltext
2016	CLASH-VLT: A highly precise strong lensing model of the galaxy cluster RXC J2248.7-4431 (Abell S1063) and prospects for cosmography	Caminha, G. B.; Grillo, C.; Rosati, P.; Balestra, I.; Karman, W.; Lombardi, M.; MERCURIO, AMATA ; NONINO, Mario ; TOZZI, Paolo ; Zitrin, A., et al	open
2015	CLASH-VLT: Insights on the Mass Substructures in the Frontier Fields Cluster MACS J0416.1-2403 through Accurate Strong Lens Modeling	Grillo, C.; Suyu, S. H.; Rosati, P.; MERCURIO, AMATA ; Balestra, I.; Munari, Emiliano ; NONINO, Mario ; Caminha, G. B.; Lombardi, M.; DE LUCIA, GABRIELLA , et al	open
2015	CLASH-VLT: Substructure in the galaxy cluster MACS J1206.2-0847 from kinematics of galaxy populations	Girardi, M.; MERCURIO, AMATA ; Balestra, I.; NONINO, Mario ; BIVIANO, ANDREA ; Grillo, C.; Rosati, P.; Annunziatella, M.; Demarco, R.; Fritz, A., et al	open
2018	Dissection of the Collisional and Collisionless Mass Components in a Mini Sample of CLASH and HFF Massive Galaxy Clusters at z ≈ 0.4	Bonamigo, M.; Grillo, C.; ETTORI, STEFANO ; Caminha, G. B.; Rosati, P.; MERCURIO, AMATA ; Munari, Emiliano ; Annunziatella, M.; Balestra, I.; Lombardi, M.	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. III. Galaxy cluster detection in the wide photometric survey, performance and algorithm selection	Euclid Collaboration; Adam, R.; Vannier, M.; Maurogordato, S.; BIVIANO, ANDREA ; Adami, C.; Ascaso, B.; Bellagamba, F.; Benoist, C.; CAPPI, Alberto , 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	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
2021	Euclid preparation. XII. Optimizing the photometric sample of the Euclid survey for galaxy clustering and galaxy-galaxy lensing analyses	Euclid Collaboration; Pocino, A.; Tutusaus, I.; Castander, F. J.; Fosalba, P.; Crocce, M.; Porredon, A.; Camera, S.; CARDONE, Vincenzo Fabrizio ; Casas, S., 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
2022	Euclid preparation. XVII. Cosmic Dawn Survey: Spitzer Space Telescope observations of the Euclid deep fields and calibration fields	Euclid Collaboration; Moneti, A.; McCracken, H. J.; Shuntov, M.; Kauffmann, O. B.; Capak, P.; Davidzon, I.; Ilbert, O.; Scarlata, C.; Toft, S., et al	open
2021	Euclid preparation: IX. EuclidEmulator2 - power spectrum emulation with massive neutrinos and self-consistent dark energy perturbations	Euclid Collaboration; Knabenhans, M.; Stadel, J.; Potter, D.; Dakin, J.; Hannestad, S.; Tram, T.; Marelli, S.; Schneider, A.; Teyssier, R., et al	open
2022	Euclid: Forecasts from redshift-space distortions and the Alcock-Paczynski test with cosmic voids	Hamaus, N.; Aubert, M.; Pisani, A.; Contarini, S.; Verza, G.; Cousinou, M. -C.; Escoffier, S.; Hawken, A.; Lavaux, G.; Pollina, G., et al	open
2021	The GOGREEN survey: Internal dynamics of clusters of galaxies at redshift 0.9-1.4	BIVIANO, ANDREA ; van der Burg, R. F. J.; Balogh, M. L.; Munari, Emiliano ; Cooper, M. C.; DE LUCIA, GABRIELLA ; Demarco, R.; Jablonka, P.; Muzzin, A.; Nantais, J., et al	open

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