Astrophysical: Methods

  • Publication
    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...
  • Publication
    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...
  • Publication
    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...
  • Publication
    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...
  • Publication
    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...
  • Publication
    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...
  • Publication
    Bayesian Analysis of Multiple Harmonic Oscillations in the Solar Corona
    The detection of multiple mode harmonic kink oscillations in coronal loops enables us to obtain information on coronal density stratification and magnetic field...
  • Publication
    Bayesian bulge-disc decomposition of galaxy images
    We introduce PHI, a fully Bayesian Markov chain Monte Carlo algorithm designed for the structural decomposition of galaxy images. PHI uses a triple layer...
  • Publication
    Bayesian coronal seismology
    In contrast to the situation in a laboratory, the study of the solar atmosphere has to be pursued without direct access to the physical conditions of interest...