Descriptions of eleven aurorae observed in the Canary Islands during the period 1770 - 2010 have been found in different documents. Most of them are coincident...
Automated Detection of Accelerating Solar Eruptions Using Parabolic Hough Transform
Solar eruptions such as coronal mass ejections (CMEs) observed in the inner solar corona (up to 4 R ⊙) show acceleration profiles that appear as parabolic...
The overall reflectance of sunlight from Earth is a fundamental parameter for climate studies. We have designed and implemented small aperture, remote control...
The Gaia mission will have a profound impact on our understanding of the structure and dynamics of the Milky Way. Gaia is providing an exhaustive census of...
Automated Unsupervised Classification of the Sloan Digital Sky Survey Stellar Spectra using k-means Clustering
Large spectroscopic surveys require automated methods of analysis. This paper explores the use of k-means clustering as a tool for automated unsupervised...
Automatic log spectrum restoration of atmospheric seeing
This paper presents an automatic method for (1) digital estimation of the width of the atmospherical seeing in astronomical images of extended objects and (2)...
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...
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...
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...