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Issue Date	Title	Author(s)	Fulltext
2016	Detailed design and first tests of the application software for the instrument control unit of Euclid-NISP	LIGORI, Sebastiano ; CORCIONE, Leonardo ; Capobianco, Vito ; BONINO, Donata ; Sirri, G.; Fornari, F.; Giacomini, F.; Patrizii, L.; VALENZIANO, LUCA ; Travaglini, R., et al	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
2024	Euclid commissioning results: the Near Infrared Spectrometer and Photometer (NISP) signal detection chain	Cogato, F.; Medinaceli, E.; Barbier, R.; Dusini, S.; Gillard, W.; Jahnke, K.; Prieto, E.; AURICCHIO, NATALIA ; Balbi, E.; BALESTRA, Andrea , et al	open
2016	Euclid Near Infrared Spectrometer and Photometer instrument concept and first test results obtained for different breadboards models at the end of phase C	Maciaszek, Thierry; Ealet, Anne; Jahnke, Knud; Prieto, Eric; Barbier, Rémi; Mellier, Yannick; Beaumont, Florent; Bon, William; Bonnefoi, Anne; Carle, Michael, et al	open
2023	Euclid preparation - XXIII. Derivation of galaxy physical properties with deep machine learning using mock fluxes and H-band images	Euclid Collaboration; BISIGELLO, Laura ; Conselice, C. J.; Baes, M.; BOLZONELLA, Micol ; BRESCIA, Massimo ; CAVUOTI, STEFANO ; CUCCIATI, Olga ; Humphrey, A.; HUNT, Leslie Kipp , et al	open
2022	Euclid preparation. I. The Euclid Wide Survey	Euclid Collaboration; SCARAMELLA, Roberto ; Amiaux, J.; Mellier, Y.; BURIGANA, Carlo ; Carvalho, C. S.; Cuillandre, J. -C.; Da Silva, A.; Derosa, A.; Dinis, J., 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. 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. VII. Forecast validation for Euclid cosmological probes	Euclid Collaboration; Blanchard, A.; Camera, S.; CARBONE, Carmelita ; CARDONE, Vincenzo Fabrizio ; Casas, S.; Clesse, S.; Ilić, S.; Kilbinger, M.; Kitching, T., 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. XIX. Impact of magnification on photometric galaxy clustering	Euclid Collaboration; Lepori, F.; Tutusaus, I.; Viglione, C.; Bonvin, C.; Camera, S.; Castander, F. J.; Durrer, R.; Fosalba, P.; Jelic-Cizmek, G., 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

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