Publicaciones en colaboración con investigadores/as de Università de Roma La Sapienza (15)

2024

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

    Astronomy and Astrophysics, Vol. 687

  2. Euclid preparation XLIII. Measuring detailed galaxy morphologies for Euclid with machine learning

    Astronomy and Astrophysics, Vol. 689

  3. Euclid preparation XLVI. The near-infrared background dipole experiment with Euclid

    Astronomy and Astrophysics, Vol. 689

  4. Euclid preparation XLVIII. The pre-launch Science Ground Segment simulation framework

    Astronomy and Astrophysics, Vol. 690

  5. Euclid preparation XXXVII. Galaxy colour selections with Euclid and ground photometry for cluster weak-lensing analyses

    Astronomy and Astrophysics, Vol. 684

  6. Euclid preparation: XL. Impact of magnification on spectroscopic galaxy clustering

    Astronomy and Astrophysics, Vol. 685

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

    Astronomy and Astrophysics, Vol. 689

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

    Astronomy and Astrophysics, Vol. 690

  9. Euclid preparation: XXXIX. The effect of baryons on the halo mass function

    Astronomy and Astrophysics, Vol. 685

  10. Euclid preparation: XXXVIII. Spectroscopy of active galactic nuclei with NISP

    Astronomy and Astrophysics, Vol. 685

  11. XXXIV. The effect of linear redshift-space distortions in photometric galaxy clustering and its cross-correlation with cosmic shear

    Astronomy and Astrophysics, Vol. 683

2022

  1. Erratum: Euclid preparation: XXI. Intermediate-redshift contaminants in the search for z > 6 galaxies within the Euclid Deep Survey (A&A (2022) 666 (A200) DOI: 10.1051/0004-6361/202243950

    Astronomy and Astrophysics

  2. Euclid preparation: XXI. Intermediate-redshift contaminants in the search for z > 6 galaxies within the Euclid Deep Survey

    Astronomy and Astrophysics, Vol. 666

  3. Numerical evaluation of thermal and hydrodynamic effects caused by heat production well on geothermal Phlegraean Fields

    Frontiers in Energy Research, Vol. 10

2009

  1. Stochastic comparisons of multivariate mixture models

    Journal of Multivariate Analysis, Vol. 100, Núm. 8, pp. 1657-1669