Astrofísicas: Métodos

  • Publicación
    Stellar occultation by (119951) 2002 KX14 on April 26, 2012
    Context. Trans-Neptunian objects (TNOs) are important bodies, but very little is known about their basic physical properties such as size, density, and albedo...
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    Stellar population models in the UV. I. Characterisation of the New Generation Stellar Library
    Context. The spectral predictions of stellar population models are not as accurate in the ultra-violet (UV) as in the optical wavelength domain. One of the...
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    Stellar splashback: the edge of the intracluster light
    We examine the outskirts of galaxy clusters in the C-EAGLE simulations to quantify the 'edges' of the stellar and dark matter distribution. The radius of the...
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    STEPAR: an automatic code to infer stellar atmospheric parameters
    Context. STEPAR is an automatic code written in Python 3.X designed to compute the stellar atmospheric parameters Teff, log g, [Fe/H], and ξ of FGK-type stars...
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    STEPARSYN: A Bayesian code to infer stellar atmospheric parameters using spectral synthesis
    Context. STEPARSYN is an automatic code written in Python 3.X designed to infer the stellar atmospheric parameters T eff, log g, and [Fe/H] of FGKM-type stars...
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    Stokes inversion based on convolutional neural networks
    Context. Spectropolarimetric inversions are routinely used in the field of solar physics for the extraction of physical information from observations. The...
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    Strategies for Imaging Faint Extended Sources in the Near-Infrared
    Quantitative information about variations in the background at J and K' are presented and used to develop guidelines for the acquisition and reduction of ground...
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    Strategies for optimal sky subtraction in the low surface brightness regime
    The low surface brightness (LSB) regime (μ g ≳ 26 mag arcsec -2) comprises a vast, mostly unexplored discovery space, from dwarf galaxies to the diffuse...
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    Strategies for Spectral Profile Inversion Using Artificial Neural Networks
    This paper explores three different strategies for the inversion of spectral lines (and their Stokes profiles) using artificial neural networks. It is shown...