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Derniers dépôts
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L. Bisigello, C. J. Conselice, M. Baes, M. Bolzonella, M. Brescia, et al.. Euclid preparation: XXIII. Derivation of galaxy physical properties with deep machine learning using mock fluxes and H-band images. Monthly Notices of the Royal Astronomical Society: Letters, 2023, 520 (3), pp.3529-3548. ⟨10.1093/mnras/stac3810⟩. ⟨insu-03947319v2⟩
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Julien Bert, H Perez Ponce, S Jan, Z El Bitar, P Gueth, et al.. Hybrid GATE : A GPU/CPU implementation for imaging and therapy applications. NSS-MIC 2012: IEEE Nuclear Science Symposium and Medical Imaging Conference, Oct 2012, Anaheim, United States. pp.2247-2250, ⟨10.1109/NSSMIC.2012.6551511⟩. ⟨hal-00788144⟩
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L Gabarra, C Mancini, L. Rodriguez Muñoz, G Rodighiero, C Sirignano, et al.. Euclid preparation. XXX. Performance assessment of the NISP Red-Grism through spectroscopic simulations for the Wide and Deep surveys. Astronomy and Astrophysics - A&A, 2023, 676, pp.A34. ⟨10.1051/0004-6361/202346177⟩. ⟨hal-04447271⟩
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L Leuzzi, M Meneghetti, G Angora, R.B Metcalf, L Moscardini, et al.. Euclid Preparation XXXIII. Characterization of convolutional neural networks for the identification of galaxy-galaxy strong lensing events. Astronomy and Astrophysics - A&A, 2024, 681, pp.A68. ⟨10.1051/0004-6361/202347244⟩. ⟨hal-04174681⟩