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Browsing by Author Seidel, G.


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Showing results 1 to 19 of 19
Issue DateTitleAuthor(s)Fulltext
2021Euclid : Effects of sample covariance on the number counts of galaxy clustersFumagalli, A.; SARO, ALEXANDRO ; BORGANI, STEFANO ; Castro, T.; Costanzi, M.; Monaco, Pierluigi ; Munari, Emiliano ; SEFUSATTI, Emiliano ; Amara, A.; AURICCHIO, NATALIA , et alopen
2024Euclid commissioning results: the Near Infrared Spectrometer and Photometer (NISP) signal detection chainCogato, F.; Medinaceli, E.; Barbier, R.; Dusini, S.; Gillard, W.; Jahnke, K.; Prieto, E.; AURICCHIO, NATALIA ; Balbi, E.; BALESTRA, Andrea , et alopen
2023Euclid preparation - XXIII. Derivation of galaxy physical properties with deep machine learning using mock fluxes and H-band imagesEuclid Collaboration; BISIGELLO, Laura ; Conselice, C. J.; Baes, M.; BOLZONELLA, Micol ; BRESCIA, Massimo ; CAVUOTI, STEFANO ; CUCCIATI, Olga ; Humphrey, A.; HUNT, Leslie Kipp , et alopen
2022Euclid preparation. I. The Euclid Wide SurveyEuclid Collaboration; SCARAMELLA, Roberto ; Amiaux, J.; Mellier, Y.; BURIGANA, Carlo ; Carvalho, C. S.; Cuillandre, J. -C.; Da Silva, A.; Derosa, A.; Dinis, J., et alopen
2021Euclid preparation. XI. Mean redshift determination from galaxy redshift probabilities for cosmic shear tomographyEuclid Collaboration; Ilbert, O.; de la Torre, S.; Martinet, N.; Wright, A. H.; Paltani, S.; Laigle, C.; Davidzon, I.; Jullo, E.; Hildebrandt, H., et alopen
2021Euclid preparation. XII. Optimizing the photometric sample of the Euclid survey for galaxy clustering and galaxy-galaxy lensing analysesEuclid Collaboration; Pocino, A.; Tutusaus, I.; Castander, F. J.; Fosalba, P.; Crocce, M.; Porredon, A.; Camera, S.; CARDONE, Vincenzo Fabrizio ; Casas, S., et alopen
2022Euclid preparation. XIII. Forecasts for galaxy morphology with the Euclid Survey using deep generative modelsEuclid Collaboration; Bretonnière, H.; Huertas-Company, M.; Boucaud, A.; Lanusse, F.; Jullo, E.; MERLIN, Emiliano ; Tuccillo, D.; CASTELLANO, MARCO ; Brinchmann, J., et alopen
2021Euclid Preparation. XIV. The Complete Calibration of the Color-Redshift Relation (C3R2) Survey: Data Release 3Stanford, S. A.; Masters, D.; Darvish, B.; Stern, D.; Cohen, J. G.; Capak, P.; Hernitschek, N.; Davidzon, I.; Rhodes, J.; Sanders, D. B., et alopen
2022Euclid preparation. XIX. Impact of magnification on photometric galaxy clusteringEuclid Collaboration; Lepori, F.; Tutusaus, I.; Viglione, C.; Bonvin, C.; Camera, S.; Castander, F. J.; Durrer, R.; Fosalba, P.; Jelic-Cizmek, G., et alopen
2022Euclid preparation. XV. Forecasting cosmological constraints for the Euclid and CMB joint analysisEuclid Collaboration; Ilić, S.; Aghanim, N.; Baccigalupi, C.; BERMEJO CLIMENT, JOSE RAMON ; Fabbian, G.; Legrand, L.; PAOLETTI, DANIELA ; Ballardini, M.; Archidiacono, M., et alopen
2022Euclid preparation. XVI. Exploring the ultra-low surface brightness Universe with Euclid/VISEuclid Collaboration; Borlaff, A. S.; Gómez-Alvarez, P.; Altieri, B.; Marcum, P. M.; Vavrek, R.; Laureijs, R.; Kohley, R.; Buitrago, F.; Cuillandre, J. -C., et alopen
2022Euclid preparation. XVII. Cosmic Dawn Survey: Spitzer Space Telescope observations of the Euclid deep fields and calibration fieldsEuclid Collaboration; Moneti, A.; McCracken, H. J.; Shuntov, M.; Kauffmann, O. B.; Capak, P.; Davidzon, I.; Ilbert, O.; Scarlata, C.; Toft, S., et alopen
2022Euclid preparation. XVIII. The NISP photometric systemEuclid Collaboration; Schirmer, M.; Jahnke, K.; Seidel, G.; Aussel, H.; Bodendorf, C.; Grupp, F.; Hormuth, F.; Wachter, S.; Appleton, P. N., et alopen
2023Euclid preparation. XXVIII. Forecasts for ten different higher-order weak lensing statisticsEuclid Collaboration; Ajani, V.; Baldi, M.; Barthelemy, A.; Boyle, A.; Burger, P.; CARDONE, Vincenzo Fabrizio ; Cheng, S.; Codis, S.; GIOCOLI, Carlo , et alopen
2021Euclid: Constraining dark energy coupled to electromagnetism using astrophysical and laboratory dataMartinelli, M.; Martins, C. J. A. P.; Nesseris, S.; Tutusaus, I.; Blanchard, A.; Camera, S.; CARBONE, Carmelita ; Casas, S.; Pettorino, V.; Sakr, Z., et alopen
2022Euclid: Cosmological forecasts from the void size functionContarini, S.; Verza, G.; Pisani, A.; Hamaus, N.; Sahlén, M.; CARBONE, Carmelita ; Dusini, S.; Marulli, F.; Moscardini, L.; Renzi, A., et alopen
2022Euclid: Forecasts from redshift-space distortions and the Alcock-Paczynski test with cosmic voidsHamaus, N.; Aubert, M.; Pisani, A.; Contarini, S.; Verza, G.; Cousinou, M. -C.; Escoffier, S.; Hawken, A.; Lavaux, G.; Pollina, G., et alopen
2024Euclid: High-precision imaging astrometry and photometry from Early Release Observations: I. Internal kinematics of NGC6397 by combining Euclid and Gaia dataLibralato, M.; BEDIN, Luigi ; Griggio, M.; Massari, D.; Anderson, J.; Cuillandre, J. -C.; Ferguson, A. M. N.; Lançon, A.; Larsen, S. S.; Schirmer, M., et alopen
2024Performance of the image persistence model for Euclid infrared detectorsKubik, B.; Barbier, R.; Smadja, G.; Ferriol, S.; Conseil, Y.; Copin, Y.; Gillard, W.; Dusini, S.; Jahnke, K.; Prieto, E., et alopen
Showing results 1 to 19 of 19

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