Diseño Electrónico y Técnicas de Tratamiento de Señales
DIETEC
Imperial College London
Londres, Reino UnidoPublicaciones en colaboración con investigadores/as de Imperial College London (31)
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 XLIII. Measuring detailed galaxy morphologies for Euclid with machine learning
Astronomy and Astrophysics, Vol. 689
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Euclid preparation XLVI. The near-infrared background dipole experiment with Euclid
Astronomy and Astrophysics, Vol. 689
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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 XXXVI. Modelling the weak lensing angular power spectrum
Astronomy and Astrophysics, Vol. 684
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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: XL. Impact of magnification on spectroscopic galaxy clustering
Astronomy and Astrophysics, Vol. 685
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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: XXXIX. The effect of baryons on the halo mass function
Astronomy and Astrophysics, Vol. 685
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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 preparation: XXXVIII. Spectroscopy of active galactic nuclei with NISP
Astronomy and Astrophysics, Vol. 685
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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: XXIV. Calibration of the halo mass function in (?)CDM cosmologies
Astronomy and Astrophysics, Vol. 671
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Euclid preparation: XXIX. Water ice in spacecraft Part I: The physics of ice formation and contamination
Astronomy and Astrophysics, Vol. 675