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Issue Date	Title	Author(s)	Fulltext
2014	DAMEWARE: A Web Cyberinfrastructure for Astrophysical Data Mining	BRESCIA, Massimo ; CAVUOTI, STEFANO ; Longo, Giuseppe; Nocella, Alfonso; Garofalo, Mauro; Manna, Francesco; ESPOSITO, Francesco; Albano, Giovanni; Guglielmo, Marisa; D'Angelo, Giovanni, et al	open
2018	Data Deluge in Astrophysics: Photometric Redshifts as a Template Use Case	BRESCIA, Massimo ; CAVUOTI, STEFANO ; Amaro, Valeria; RICCIO, GIUSEPPE ; ANGORA, GIUSEPPE; Vellucci, Civita; Longo, Giuseppe	open
2012	Data mining and knowledge discovery resources for astronomy in the web 2.0 age	CAVUOTI, STEFANO ; BRESCIA, Massimo ; Longo, Giuseppe	open
2012	The detection of globular clusters in galaxies as a data mining problem	BRESCIA, Massimo ; CAVUOTI, STEFANO ; Paolillo, Maurizio ; Longo, Giuseppe; Puzia, Thomas	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
2015	Euclid Consortium SGS Level Work Packages Description	MANSUTTI, Oriana ; Hoar, John; PASIAN, Fabio ; Dabin, Christophe; Sauvage, Marc; GREGORIO, Anna ; VUERLI, Claudio ; BRESCIA, Massimo ; Delouis, Jean-Marc; FRAILIS, Marco , et al	reserved
2017	The Euclid Data Processing Challenges	Dubath, Pierre; Apostolakos, Nikolaos; BONCHI, ANDREA; Belikov, Andrey; BRESCIA, Massimo ; CAVUOTI, STEFANO ; Capak, Peter; Coupon, Jean; Dabin, Christophe; Degaudenzi, Hubert, 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. 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

Showing results 20 to 39 of 104 < previous next >