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Zhao, Gong-Bo , Yuting Wang, Ashley J Ross, Sarah Shandera, Will J Percival, Kyle S Dawson, Jean-Paul Kneib, et al. 2016. The Extended Baryon Oscillation Spectroscopic Survey: A Cosmological Forecast. \Mnras 457: 2377-2390. doi:10.1093/mnras/stw135.
Casas, S. , J. Lesgourgues, N. Schöneberg, Sabarish M. V., L. Rathmann, M. Doerenkamp, M. Archidiacono, et al.. 2023. Euclid: Validation Of The Montepython Forecasting Tools. Arxiv E-Prints: arXiv:2303.09451. doi:10.48550/arXiv.2303.09451.
Tutusaus, I. , M. Martinelli, V. F Cardone, S. Camera, S. Yahia-Cherif, S. Casas, A. Blanchard, et al. 2020. Euclid: The Importance Of Galaxy Clustering And Weak Lensing Cross-Correlations Within The Photometric Euclid Survey. \Aap 643: A70. doi:10.1051/0004-6361/202038313.
Scaramella, R. , Y. Mellier, J. Amiaux, C. Burigana, C. S Carvalho, J. C Cuillandre, A. Da Silva, et al. 2014. Euclid Space Mission: A Cosmological Challenge For The Next 15 Years. In Statistical Challenges In 21St Century Cosmology, 306:375-378. doi:10.1017/S1743921314011089.
Collaboration, Euclid , L. Gabarra, C. Mancini, Rodriguez L. Munoz, G. Rodighiero, C. Sirignano, M. Scodeggio, et al. 2023. Euclid Preparation. Xxxi. Performance Assessment Of The Nisp Red-Grism Through Spectroscopic Simulations For The Wide And Deep Surveys. Arxiv E-Prints: arXiv:2302.09372. doi:10.48550/arXiv.2302.09372.
Collaboration, Euclid , A. Fumagalli, A. Saro, S. Borgani, T. Castro, M. Costanzi, P. Monaco, et al. 2022. Euclid Preparation. Xxvii. Covariance Model Validation For The 2-Point Correlation Function Of Galaxy Clusters. Arxiv E-Prints: arXiv:2211.12965. doi:10.48550/arXiv.2211.12965.
Collaboration, Euclid , K. Paterson, M. Schirmer, Y. Copin, J. -C Cuillandre, W. Gillard, L. AGutiér Soto, et al.. 2023. Euclid Preparation. Xxvii. A Uv-Nir Spectral Atlas Of Compact Planetary Nebulae For Wavelength Calibration. \Aap 674: A172. doi:10.1051/0004-6361/202346252.
Collaboration, Euclid , H. Bretonnière, U. Kuchner, M. Huertas-Company, E. Merlin, M. Castellano, D. Tuccillo, et al.. 2023. Euclid Preparation. Xxvi. The Euclid Morphology Challenge: Towards Structural Parameters For Billions Of Galaxies. \Aap 671: A102. doi:10.1051/0004-6361/202245042.
Collaboration, Euclid , E. Merlin, M. Castellano, H. Bretonnière, M. Huertas-Company, U. Kuchner, D. Tuccillo, et al.. 2023. Euclid Preparation. Xxv. The Euclid Morphology Challenge: Towards Model-Fitting Photometry For Billions Of Galaxies. \Aap 671: A101. doi:10.1051/0004-6361/202245041.
Collaboration, Euclid , R. Saglia, S. De Nicola, M. Fabricius, V. Guglielmo, J. Snigula, R. Zöller, et al.. 2022. Euclid Preparation. Xx. The Complete Calibration Of The Color-Redshift Relation Survey: Lbt Observations And Data Release. \Aap 664: A196. doi:10.1051/0004-6361/202243604.
Collaboration, Euclid , M. Schirmer, K. Jahnke, G. Seidel, H. Aussel, C. Bodendorf, F. Grupp, et al. 2022. Euclid Preparation. Xviii. The Nisp Photometric System. \Aap 662: A92. doi:10.1051/0004-6361/202142897.
Collaboration, Euclid , A. S Borlaff, P. Gómez-Alvarez, B. Altieri, P. M Marcum, R. Vavrek, R. Laureijs, et al.. 2022. Euclid Preparation. Xvi. Exploring The Ultra-Low Surface Brightness Universe With Euclid/Vis. \Aap 657: A92. doi:10.1051/0004-6361/202141935.
Collaboration, Euclid , S. Ilić, N. Aghanim, C. Baccigalupi, J. R Bermejo-Climent, G. Fabbian, L. Legrand, et al.. 2022. Euclid Preparation. Xv. Forecasting Cosmological Constraints For The Euclid And Cmb Joint Analysis. \Aap 657: A91. doi:10.1051/0004-6361/202141556.
Collaboration, Euclid , F. Lepori, I. Tutusaus, C. Viglione, C. Bonvin, S. Camera, F. J Castander, et al. 2022. Euclid Preparation. Xix. Impact Of Magnification On Photometric Galaxy Clustering. \Aap 662: A93. doi:10.1051/0004-6361/202142419.
Collaboration, Euclid , A. Pocino, I. Tutusaus, F. J Castander, P. Fosalba, M. Crocce, A. Porredon, et al. 2021. Euclid Preparation. Xii. Optimizing The Photometric Sample Of The Euclid Survey For Galaxy Clustering And Galaxy-Galaxy Lensing Analyses. \Aap 655: A44. doi:10.1051/0004-6361/202141061.
Collaboration, Euclid , A. Blanchard, S. Camera, C. Carbone, V. F Cardone, S. Casas, S. Clesse, et al. 2020. Euclid Preparation. Vii. Forecast Validation For Euclid Cosmological Probes. \Aap 642: A191. doi:10.1051/0004-6361/202038071.
Collaboration, Euclid , R. Barnett, S. J Warren, D. J Mortlock, J. -G Cuby, C. Conselice, P. C Hewett, et al. 2019. Euclid Preparation. V. Predicted Yield Of Redshift 7 < Z < 9 Quasars From The Wide Survey. \Aap 631: A85. doi:10.1051/0004-6361/201936427.
Collaboration, Euclid , R. Scaramella, J. Amiaux, Y. Mellier, C. Burigana, C. S Carvalho, J. -C Cuillandre, et al. 2022. Euclid Preparation. I. The Euclid Wide Survey. \Aap 662: A112. doi:10.1051/0004-6361/202141938.
Adamek, J. , R. E Angulo, C. Arnold, M. Baldi, M. Biagetti, B. Bose, C. Carbone, et al. 2022. Euclid: Modelling Massive Neutrinos In Cosmology – A Code Comparison. Arxiv E-Prints: arXiv:2211.12457. doi:10.48550/arXiv.2211.12457.
Laureijs, R. , G. D Racca, Y. Mellier, P. Musi, L. Brouard, T. Boenke, Gaspar L. Venancio, et al. 2020. Euclid Mission Status After Mission Critical Design. In Space Telescopes And Instrumentation 2020: Optical, Infrared, And Millimeter Wave, 11443:114430F. doi:10.1117/12.2563145.

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