Astrofísicas: Métodos

  • Publicación
    Automatic Detection of CMEs Using Synthetically-Trained Mask R-CNN
    Coronal mass ejections (CMEs) are a major driver of space weather. To assess CME geoeffectiveness, among other scientific goals, it is necessary to reliably...
  • Publicación
    Automatic model-based telluric correction for the ESPRESSO data reduction software. Model description and application to radial velocity computation
    Context. Ground-based high-resolution spectrographs are key instruments for several astrophysical domains, such as exoplanet studies. Unfortunately, the...
  • Publicación
    Automatic spectral classification of stellar spectra with low signal-to-noise ratio using artificial neural networks
    Context. As part of a project aimed at deriving extinction-distances for thirty-five planetary nebulae, spectra of a few thousand stars were analyzed to...
  • Publicación
    Automatic Unsupervised Classification of All Sloan Digital Sky Survey Data Release 7 Galaxy Spectra
    Using the k-means cluster analysis algorithm, we carry out an unsupervised classification of all galaxy spectra in the seventh and final Sloan Digital Sky...
  • Publicación
    Bar properties as a function of wavelength: a local baseline with S<SUP>4</SUP>G for high-redshift studies
    The redshift evolution of bars is an important signpost of the dynamic maturity of disc galaxies. To characterize the intrinsic evolution safe from band...
  • Publicación
    Bar properties as a function of wavelength: a local baseline with S<SUP>4</SUP>G for high-redshift studies
    The redshift evolution of bars is an important signpost of the dynamic maturity of disc galaxies. To characterize the intrinsic evolution safe from band...
  • Publicación
    Basaltic quasi-mini-moon: Characterizing 2024 PT<SUB>5</SUB> with the 10.4 m Gran Telescopio Canarias and the Two-meter Twin Telescope
    Context. Small bodies in Earth-like orbits, the Arjunas, are good targets for scientific exploration, and space mining or in situ resource utilization (ISRU)...
  • Publicación
    BAYES-LOSVD: A Bayesian framework for non-parametric extraction of the line-of-sight velocity distribution of galaxies
    We introduce BAYES-LOSVD, a novel implementation of the non-parametric extraction of line-of-sight velocity distributions (LOSVDs) in galaxies. We employed...
  • Publicación
    Bayesclumpy: Bayesian Inference with Clumpy Dusty Torus Models
    Our aim is to present a fast and general Bayesian inference framework based on the synergy between machine learning techniques and standard sampling methods and...