Astrophysical: Methods

  • Publication
    Returning magnetic flux in sunspot penumbrae
    Aims: We study the presence of reversed polarity magnetic flux in sunspot penumbra. Methods: We applied a new regularized method to deconvolve...
  • Publication
    Revisiting the hypothesis of purely stochastic excitation of global p modes in the Sun
    Context. In solar-like oscillators, acoustic waves are excited by turbulent motion in the convective envelope and propagate inward, generating a variety of...
  • Publication
    Revisiting the transits of CoRoT-7b at a lower activity level
    The first super-Earth with measured radius discovered was CoRoT-7b and it has opened the new field of rocky exoplanet characterisation. To better understand...
  • Publication
    RoadRunner: a fast and flexible exoplanet transit model
    I present RoadRunner, a fast exoplanet transit model that can use any radially symmetric function to model stellar limb darkening (LD) while still being faster...
  • Publication
    Robust machine learning model of inferring the ex situ stellar fraction of galaxies from photometric data
    We searched for the parameters defined from photometric images to quantify the ex situ stellar mass fraction of galaxies. We created mock images using galaxies...
  • Publication
    Robust sampling for weak lensing and clustering analyses with the Dark Energy Survey
    Recent cosmological analyses rely on the ability to accurately sample from high-dimensional posterior distributions. A variety of algorithms have been applied...
  • Publication
    Robust, open-source removal of systematics in Kepler data
    We present ARC2 (Astrophysically Robust Correction 2), an open-source python-based systematics-correction pipeline, to correct for the Kepler prime mission long...
  • Publication
    Role of magnetic shear distribution in the formation of eruptive flux ropes
    Context. Erupting flux ropes play a crucial role in powering a wide range of solar transients, including flares, jets, and coronal mass ejections. These events...
  • Publication
    ROOSTER: a machine-learning analysis tool for Kepler stellar rotation periods
    In order to understand stellar evolution, it is crucial to efficiently determine stellar surface rotation periods. Indeed, while they are of great importance in...