Publicaciones en colaboración con investigadores/as de Durham University (33)

2024

  1. Characterization of Herschel-selected strong lens candidates through HST and sub-mm/mm observations

    Monthly Notices of the Royal Astronomical Society, Vol. 528, Núm. 4, pp. 6222-6279

  2. FLASH: Faint Lenses from Associated Selection with Herschel

    Monthly Notices of the Royal Astronomical Society, Vol. 527, Núm. 3, pp. 8865-8885

2023

  1. Bright extragalactic ALMA redshift survey (BEARS) III: detailed study of emission lines from 71 Herschel targets

    Monthly Notices of the Royal Astronomical Society, Vol. 521, Núm. 4, pp. 5508-5535

  2. The bright extragalactic ALMA redshift survey (BEARS) – II. Millimetre photometry of gravitational lens candidates

    Monthly Notices of the Royal Astronomical Society, Vol. 522, Núm. 2, pp. 2995-3017

2022

  1. Deep learning wavefront reconstruction for collimated beams with experimental data

    Optics InfoBase Conference Papers

  2. Modelling high-resolution ALMA observations of strongly lensed dusty star-forming galaxies detected by Herschel

    Monthly Notices of the Royal Astronomical Society, Vol. 512, Núm. 2, pp. 2426-2438

  3. The European Solar Telescope

    Astronomy and Astrophysics, Vol. 666

2020

  1. Atmospheric Tomography Using Convolutional Neural Networks

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  2. Atmospheric Tomography Using Convolutional Neural Networks

    Intelligent Data Engineering and Automated Learning – IDEAL 2020. 21st International Conference: Guimarães, Portugal; November 4–6, 2020. Proceedings

  3. Wavefront prediction using artificial neural networks for open-loop adaptive optics

    Monthly Notices of the Royal Astronomical Society, Vol. 496, Núm. 1, pp. 456-464

2019

  1. Experience with artificial neural networks applied in multi-object adaptive optics

    Publications of the Astronomical Society of the Pacific, Vol. 131, Núm. 1004

  2. Projected Pupil Plane Pattern (PPPP) with artificial neural networks

    Monthly Notices of the Royal Astronomical Society, Vol. 487, Núm. 1, pp. 1480-1487

2018

  1. Improving adaptive optics reconstructions with a deep learning approach

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  2. LGS alternative wave-front sensing: Projected Pupil Plane Pattern (PPPP)

    Proceedings of SPIE - The International Society for Optical Engineering

2017

  1. An approach using deep learning for tomographic reconstruction in solar observation

    Adaptive Optics for Extremely Large Telescopes, 2017 AO4ELT5

  2. Comparative study of neural network frameworks for the next generation of adaptive optics systems

    Sensors (Switzerland), Vol. 17, Núm. 6

  3. The Herschel-ATLAS: A sample of 500 μm-selected lensed galaxies over 600 deg2

    Monthly Notices of the Royal Astronomical Society, Vol. 465, Núm. 3, pp. 3558-3580

2016

  1. Experience with wavefront sensor and deformable mirror interfaces for wide-field adaptive optics systems

    Monthly Notices of the Royal Astronomical Society, Vol. 459, Núm. 2, pp. 1350-1359

  2. THE SPACE DENSITY of LUMINOUS DUSTY STAR-FORMING GALAXIES at z>4: SCUBA-2 and LABOCA IMAGING of ULTRARED GALAXIES from HERSCHEL-ATLAS

    Astrophysical Journal, Vol. 832, Núm. 1

2015

  1. Spitzer imaging of strongly lensed Herschel-selected dusty star-forming galaxies

    Astrophysical Journal, Vol. 814, Núm. 1