Rafael
Toledo Moreo
Profesor Titular de Universidad


University of Bristol
Brístol, Reino UnidoPublications in collaboration with researchers from University of Bristol (25)
2025
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Euclid preparation: LVII. Observational expectations for redshift z < 7 active galactic nuclei in the Euclid Wide and Deep surveys
Astronomy and Astrophysics, Vol. 693
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Euclid preparation: LVIII. Detecting extragalactic globular clusters in the Euclid survey
Astronomy and Astrophysics, Vol. 693
2024
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Euclid preparation LI. Forecasting the recovery of galaxy physical properties and their relations with template-fitting and machine-learning methods
Astronomy and Astrophysics, Vol. 691
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Euclid preparation XLIII. Measuring detailed galaxy morphologies for Euclid with machine learning
Astronomy and Astrophysics, Vol. 689
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Euclid preparation XXXVII. Galaxy colour selections with Euclid and ground photometry for cluster weak-lensing analyses
Astronomy and Astrophysics, Vol. 684
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Euclid preparation: XLIX. Selecting active galactic nuclei using observed colours
Astronomy and Astrophysics, Vol. 691
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Euclid preparation: XLV. Optical emission-line predictions of intermediate-z galaxy populations in GAEA for the Euclid Deep and Wide Surveys
Astronomy and Astrophysics, Vol. 689
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Euclid preparation: XXXI. The effect of the variations in photometric passbands on photometric-redshift accuracy
Astronomy and Astrophysics, Vol. 681
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Euclid preparation: XXXVIII. Spectroscopy of active galactic nuclei with NISP
Astronomy and Astrophysics, Vol. 685
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Euclid: Identifying the reddest high-redshift galaxies in the Euclid Deep Fields with gradient-boosted trees
Astronomy and Astrophysics, Vol. 685
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Euclid: Testing photometric selection of emission-line galaxy targets?
Astronomy and Astrophysics, Vol. 689
2023
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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, Vol. 520, Núm. 3, pp. 3529-3548
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Euclid preparation: XXII. Selection of quiescent galaxies from mock photometry using machine learning
Astronomy and Astrophysics, Vol. 671
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Euclid preparation: XXVI. the Euclid Morphology Challenge: Towards structural parameters for billions of galaxies
Astronomy and Astrophysics, Vol. 671
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Euclid preparation: XXX. Performance assessment of the NISP red grism through spectroscopic simulations for the wide and deep surveys
Astronomy and Astrophysics, Vol. 676
2022
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Euclid preparation XVIII. The NISP photometric system
Astronomy and Astrophysics, Vol. 662
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Euclid preparation XX. the Complete Calibration of the Color-Redshift Relation survey: LBT observations and data release
Astronomy and Astrophysics, Vol. 664
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Euclid preparation: I. the Euclid Wide Survey
Astronomy and Astrophysics, Vol. 662
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Euclid preparation: XIII. Forecasts for galaxy morphology with the Euclid Survey using deep generative models
Astronomy and Astrophysics, Vol. 657
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Euclid preparation: XVII. Cosmic Dawn Survey: Spitzer Space Telescope observations of the Euclid deep fields and calibration fields
Astronomy and Astrophysics, Vol. 658