Shankar, F.

A CATALOG OF VISUAL-LIKE MORPHOLOGIES IN THE 5 CANDELS FIELDS USING DEEP LEARNING

Huertas-Company, M., Gravet, R., Cabrera-Vives, G., Pérez-González, P. G., Kartaltepe, J. S., Barro, G., Bernardi, M., Mei, S., Shankar, F., Dimauro, P., et al. (2015) · The Astrophysical Journal Supplement Series

Galaxies: Formation, Evolution, PhenomenaAdvanced Neural Network Applications

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Selection bias in dynamically measured supermassive black hole samples: its consequences and the quest for the most fundamental relation

Shankar, F., Bernardi, M., Sheth, R. K., Ferrarese, L., Graham, A. W., Savorgnan, G., Allevato, V., Marconi, A., Läsker, R., & Lapi, A. (2016) · Monthly Notices of the Royal Astronomical Society

Galaxies: Formation, Evolution, PhenomenaAstrophysical Phenomena and Observations

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A deep learning approach to test the small-scale galaxy morphology and its relationship with star formation activity in hydrodynamical simulations

Zanisi, L., Huertas-Company, M., Lanusse, F., Bottrell, C., Pillepich, A., Nelson, D., Rodriguez-Gomez, V., Shankar, F., Hernquist, L., Dekel, A., et al. (2021) · Monthly Notices of the Royal Astronomical Society

Galaxies: Formation, Evolution, PhenomenaAstrophysics and Star Formation Studies

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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

Galaxies: Formation, Evolution, PhenomenaAstronomy and Astrophysical Research

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