Publication type: Refereed

  • Publication
    Bayesian deep learning for cosmic volumes with modified gravity
    Context. The new generation of galaxy surveys will provide unprecedented data that will allow us to test gravity deviations at cosmological scales at a much...
  • Publication
    Bayesian distances and extinctions for giants observed by Kepler and APOGEE
    We present a first determination of distances and extinctions for individual stars in the first release of the APOKASC catalogue, built from the joint efforts...
  • Publication
    Bayesian Evidence for a Nonlinear Damping Model for Coronal Loop Oscillations
    Recent observational and theoretical studies indicate that the damping of solar coronal loop oscillations depends on the oscillation amplitude. We consider two...
  • Publication
    Bayesian evidence for two slow-wave damping models in hot coronal loops
    We computed the evidence in favour of two models, one based on field-aligned thermal conduction alone and another that includes thermal misbalance as well, to...
  • Publication
    Bayesian inference methodology to characterize the dust emissivity at far-infrared and submillimeter frequencies
    We present a Bayesian inference method to characterize the dust emission properties using the well-known dust-${\rm H\,{\small I}}$ correlation in the diffuse...
  • Publication
    Bayesian Inference of Solar and Stellar Magnetic Fields in the Weak-field Approximation
    The weak-field approximation is one of the simplest models that allows us to relate the observed polarization induced by the Zeeman effect with the magnetic...
  • Publication
    Bayesian inversion of Stokes profiles
    Context: Inversion techniques are the most powerful methods to obtain information about the thermodynamical and magnetic properties of solar and stellar...
  • Publication
    Bayesian least squares deconvolution
    Aims: We develop a fully Bayesian least squares deconvolution (LSD) that can be applied to the reliable detection of magnetic signals in noise-limited stellar...
  • Publication
    Bayesian Magnetohydrodynamic Seismology of Coronal Loops
    We perform a Bayesian parameter inference in the context of resonantly damped transverse coronal loop oscillations. The forward problem is solved in terms of...