M. M. Cueli

发表

Quasi-stellar objects and galaxy mass density profiles derived using the submillimetre galaxies magnification bias

L. Bonavera, J. González-Nuevo, D. Crespo, 2022, Astronomy & Astrophysics.

Point source detection with fully convolutional networks

Jesús Daniel Santos, L. Bonavera, J. González-Nuevo, 2021, Astronomy & Astrophysics.

Cosmology with the submillimetre galaxies magnification bias: Proof of concept

S. Maddox, L. Bonavera, J. Gonz'alez-Nuevo, 2020, 2006.09185.

Cosmological constraints on the magnification bias on sub-millimetre galaxies after large-scale bias corrections

L. Bonavera, M. Migliaccio, L. Toffolatti, 2021 .

Galaxy cluster mass density profile derived using the submillimetre galaxies magnification bias

L. Bonavera, D. Crespo, A. Lapi, 2021, Astronomy & Astrophysics.

Multi-frequency point source detection with fully convolutional networks: Performance in realistic microwave sky simulations

L. Bonavera, D. Herranz, D. Crespo, 2021, Astronomy & Astrophysics.

CENN: A fully convolutional neural network for CMB recovery in realistic microwave sky simulations

C. Baccigalupi, L. Bonavera, D. Crespo, 2022, Astronomy & Astrophysics.

Cosmological and astrophysical results exploiting magnification bias with high-z sub-millimetre galaxies

L. Bonavera, J. González-Nuevo, M. M. Cueli, 2021, The Sixteenth Marcel Grossmann Meeting.

A direct and robust method to observationally constrain the halo mass function via the submillimeter magnification bias: Proof of concept

L. Bonavera, J. González-Nuevo, A. Lapi, 2020, Astronomy & Astrophysics.