Electrónica, Tecnología de Computadores y Proyectos
Departament
University College London
Londres, Reino UnidoPublicacions en col·laboració amb investigadors/es de University College London (35)
2024
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Euclid preparation XLI. Galaxy power spectrum modelling in real space
Astronomy and Astrophysics, Vol. 687
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Euclid preparation XLVIII. The pre-launch Science Ground Segment simulation framework
Astronomy and Astrophysics, Vol. 690
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Euclid preparation: XLII. A unified catalogue-level reanalysis of weak lensing by galaxy clusters in five imaging surveys
Astronomy and Astrophysics, Vol. 689
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Euclid preparation: XLIV. Modelling spectroscopic clustering on mildly nonlinear scales in beyond-ΛCDM models
Astronomy and Astrophysics, Vol. 689
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Euclid preparation: XLVII. Improving cosmological constraints using a new multi-tracer method with the spectroscopic and photometric samples
Astronomy and Astrophysics, Vol. 690
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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: XXXII. Evaluating the weak-lensing cluster mass biases using the Three Hundred Project hydrodynamical simulations
Astronomy and Astrophysics, Vol. 681
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Euclid preparation: XXXIII. Characterization of convolutional neural networks for the identification of galaxy-galaxy strong-lensing events
Astronomy and Astrophysics, Vol. 681
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Euclid preparation: XXXV. Covariance model validation for the two-point correlation function of galaxy clusters
Astronomy and Astrophysics, Vol. 683
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Euclid: Improving the efficiency of weak lensing shear bias calibration: Pixel noise cancellation and the response method on trial
Astronomy and Astrophysics, Vol. 683
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XXXIV. The effect of linear redshift-space distortions in photometric galaxy clustering and its cross-correlation with cosmic shear
Astronomy and Astrophysics, Vol. 683
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: XXIV. Calibration of the halo mass function in (?)CDM cosmologies
Astronomy and Astrophysics, Vol. 671
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Euclid preparation: XXV. the Euclid Morphology Challenge: Towards model-fitting photometry for billions of galaxies
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: XXVIII. Forecasts for ten different higher-order weak lensing statistics
Astronomy and Astrophysics, Vol. 675
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Euclid: Calibrating photometric redshifts with spectroscopic cross-correlations
Astronomy and Astrophysics, Vol. 670
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Euclid: Forecasts from the void-lensing cross-correlation
Astronomy and Astrophysics, Vol. 670
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The PAU Survey and Euclid: Improving broadband photometric redshifts with multi-task learning
Astronomy and Astrophysics, Vol. 671