Publicaciones en colaboración con investigadores/as de University of Milan (46)

2024

  1. Euclid preparation XLI. Galaxy power spectrum modelling in real space

    Astronomy and Astrophysics, Vol. 687

  2. Euclid preparation: XLII. A unified catalogue-level reanalysis of weak lensing by galaxy clusters in five imaging surveys

    Astronomy and Astrophysics, Vol. 689

  3. Euclid preparation: XLIV. Modelling spectroscopic clustering on mildly nonlinear scales in beyond-ΛCDM models

    Astronomy and Astrophysics, Vol. 689

  4. Euclid preparation: XLVII. Improving cosmological constraints using a new multi-tracer method with the spectroscopic and photometric samples

    Astronomy and Astrophysics, Vol. 690

  5. Euclid preparation: XXXI. The effect of the variations in photometric passbands on photometric-redshift accuracy

    Astronomy and Astrophysics, Vol. 681

  6. Euclid preparation: XXXII. Evaluating the weak-lensing cluster mass biases using the Three Hundred Project hydrodynamical simulations

    Astronomy and Astrophysics, Vol. 681

  7. Euclid preparation: XXXIII. Characterization of convolutional neural networks for the identification of galaxy-galaxy strong-lensing events

    Astronomy and Astrophysics, Vol. 681

  8. Euclid preparation: XXXV. Covariance model validation for the two-point correlation function of galaxy clusters

    Astronomy and Astrophysics, Vol. 683

  9. Euclid: Identifying the reddest high-redshift galaxies in the Euclid Deep Fields with gradient-boosted trees

    Astronomy and Astrophysics, Vol. 685

  10. Euclid: Testing photometric selection of emission-line galaxy targets?

    Astronomy and Astrophysics, Vol. 689

  11. Euclid: Validation of the MontePython forecasting tools

    Astronomy and Astrophysics, Vol. 682

  12. 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

  1. 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

  2. Euclid preparation: XXII. Selection of quiescent galaxies from mock photometry using machine learning

    Astronomy and Astrophysics, Vol. 671

  3. Euclid preparation: XXIX. Water ice in spacecraft Part I: The physics of ice formation and contamination

    Astronomy and Astrophysics, Vol. 675

  4. Euclid preparation: XXVII. A UV-NIR spectral atlas of compact planetary nebulae for wavelength calibration

    Astronomy and Astrophysics, Vol. 674

  5. Euclid preparation: XXVIII. Forecasts for ten different higher-order weak lensing statistics

    Astronomy and Astrophysics, Vol. 675

  6. Euclid preparation: XXX. Performance assessment of the NISP red grism through spectroscopic simulations for the wide and deep surveys

    Astronomy and Astrophysics, Vol. 676

  7. Euclid: Calibrating photometric redshifts with spectroscopic cross-correlations

    Astronomy and Astrophysics, Vol. 670

  8. Euclid: Forecasts from the void-lensing cross-correlation

    Astronomy and Astrophysics, Vol. 670