Amara, A.

Dark Energy Survey year 1 results: Cosmological constraints from galaxy clustering and weak lensing

Abbott, T. M. C., Abdalla, F. B., Alarcon, A., Aleksić, J., Allam, S., Allen, S., Amara, A., Annis, J., Asorey, J., Avila, S., et al. (2018) · Physical Review D

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lenstronomy: Multi-purpose gravitational lens modelling software package

Birrer, S., & Amara, A. (2018) · Physics of the Dark Universe

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Cosmological constraints with deep learning from KiDS-450 weak lensing maps

Fluri, J., Kacprzak, T., Lucchi, A., Refregier, A., Amara, A., Hofmann, T., & Schneider, A. (2019) · Physical Review D

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Cosmological constraints from noisy convergence maps through deep learning

Fluri, J., Kacprzak, T., Refregier, A., Amara, A., Lucchi, A., & Hofmann, T. (2018) · Physical Review D

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Euclid : The Early Release Observations Lens Search Experiment

Acevedo Barroso, J. A., O’Riordan, C. M., Clément, B., Tortora, C., Collett, T. E., Courbin, F., Gavazzi, R., Metcalf, R. B., Busillo, V., Andika, I. T., et al. (2025) · Astronomy & Astrophysics

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Euclid : Searches for strong gravitational lenses using convolutional neural nets in Early Release Observations of the Perseus field

Pearce-Casey, R., Nagam, B. C., Wilde, J., Busillo, V., Ulivi, L., Andika, I. T., Manjón-García, A., Leuzzi, L., Matavulj, P., Serjeant, S., et al. (2025) · Astronomy & Astrophysics

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The PAU survey: estimating galaxy photometry with deep learning

Cabayol, L., Eriksen, M., Amara, A., Carretero, J., Casas, R., Castander, F. J., De Vicente, J., Fernández, E., García-Bellido, J., Gaztanaga, E., et al. (2021) · Monthly Notices of the Royal Astronomical Society

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Euclid : A complete Einstein ring in NGC 6505

O’Riordan, C. M., Oldham, L. J., Nersesian, A., Li, T., Collett, T. E., Sluse, D., Altieri, B., Clément, B., Vasan, K. G. C., Rhoades, S., et al. (2025) · Astronomy & Astrophysics

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Euclid Quick Data Release (Q1): XXVIII. The Strong Lensing Discovery Engine C – Finding lenses with machine learning

Euclid Collaboration, Lines, N. E. P., Collett, T. E., Walmsley, M., Rojas, K., Li, T., Leuzzi, L., Manjón-García, A., Vincken, S. H., Wilde, J., et al. (2026) · Astronomy & Astrophysics

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The PAU Survey: background light estimation with deep learning techniques

Cabayol-Garcia, L., Eriksen, M., Alarcón, A., Amara, A., Carretero, J., Casas, R., Castander, F. J., Fernández, E., García-Bellido, J., Gaztanaga, E., et al. (2020) · Monthly Notices of the Royal Astronomical Society

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Euclid : Finding strong gravitational lenses in the early release observations using convolutional neural networks

Nagam, B. C., Acevedo Barroso, J. A., Wilde, J., Andika, I. T., Manjón-García, A., Pearce-Casey, R., Stern, D., Nightingale, J. W., Moustakas, L. A., McCarthy, K., et al. (2025) · Astronomy & Astrophysics

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Euclid Quick Data Release (Q1) -- Data release overview

Euclid Collaboration, Aussel, H., Tereno, I., Schirmer, M., Alguero, G., Altieri, B., Balbinot, E., de Boer, T., Casenove, P., Corcho-Caballero, P., et al. (2025) · arXiv

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