Listar por autor "Álvarez, M. A."

Mostrando ítems 21-30 de 30

    • Gaia Early Data Release 3: The Galactic Anticentre 

      Manteiga, Minia; Álvarez, M. A.; Dafonte, Carlos; Garabato, D.; Gómez García, Ángel; González Santamaría, I.; Santoveña, Raúl (EDP Sciences, 2021)
      [Abstract] Aims. We aim to demonstrate the scientific potential of the Gaia Early Data Release 3 (EDR3) for the study of different aspects of the Milky Way structure and evolution and we provide, at the same time, a ...

    • Gaia Focused Product Release: A catalogue of sources around quasars to search for strongly lensed quasars 

      Krone-Martins, A.; Garabato, D.; Álvarez, M. A.; Dafonte, Carlos; Gómez, Ángel; González Santamaría, I.; Pallas-Quintela, Lara; Santoveña, Raúl Raúl; Torralba Elipe, Guillermo; Manteiga, Minia (EDP Sciences, 2024-05-17)
      [Abstract]: Context. Strongly lensed quasars are fundamental sources for cosmology. The Gaia space mission covers the entire sky with the unprecedented resolution of 0.18″ in the optical, making it an ideal instrument to ...

    • GUASOM: An Adaptive Visualization Tool for Unsupervised Clustering in Spectrophotometric Astronomical Surveys 

      Álvarez, M. A.; Dafonte, Carlos; Manteiga, Minia; Garabato, D.; Santoveña, Raúl (Springer, 2022)
      [Abstract] We present an adaptive visualization tool for unsupervised classification of astronomical objects in a Big Data context such as the one found in the increasingly popular large spectrophotometric sky surveys. ...

    • Minería de datos en la misión Gaia: visualización del catálogo, optimización del procesado y parametrización de estrellas 

      Álvarez, M. A. (2019)
      [Resumen] El trabajo realizado en esta tesis se enmarca dentro del proyecto Gaia, de la Agencia Espacial Europea (ESA), que tiene por objetivo procesar los datos sobre posiciones y brillos pertenecientes a más de mil ...

    • Network Data Flow Clustering based on Unsupervised Learning 

      López-Vizcaíno, Manuel F.; Dafonte, C.; Nóvoa, Francisco; Garabato, D.; Álvarez, M. A.; Fernández, Diego (Institute of Electrical and Electronics Engineers Inc., 2019)
      [Abstract]: Network communication data analysis is crucial in order to provide an adequate security level in computer infrastructures. As the volume of data and the number of features rise, the difficulties associated with ...

    • On the estimation of stellar parameters with uncertainty prediction from Generative Artificial Neural Networks: application to Gaia RVS simulated spectra 

      Dafonte, C.; Fustes, D.; Manteiga, M.; Garabato, D.; Álvarez, M. A.; Ulla, A.; Allende-Prieto, Carlos (EDP Sciences, 2016-10)
      [Abstract]: Aims. We present an innovative artificial neural network (ANN) architecture, called Generative ANN (GANN), that computes the forward model, that is it learns the function that relates the unknown outputs (stellar ...

    • Solid confirmation of the broad DIB around 864.8nm using stacked Gaia–RVS spectra 

      Zhao, H.; Schultheis, Mathias; Zwitter, Tomaž; Bailer-Jones, C. A. L.; Panuzzo, P.; Sartoretti, P.; Seabroke, G. M.; Recio-Blanco, A.; Laverny, Patrick de; Kordopatis, Georges; Creevey, Orlagh; Dharmawardena, Thavisha; Frémat, Yves; Sordo, Rosanna; Drimmel, Ronald; Marshall, D.J.; Alonso Palicio, Pedro; Contursi, G.; Álvarez, M. A.; Baker, Steven; Benson, K.; Cropper, M.; Dolding, C.; Huckle, H. E.; Smith, M.; Marchal, O.; Ordenovic, C.; Pailler, F.; Slezak, I. (EDP Sciences, 2022)
      [Abstract]: Context. Studies of the correlation between different diffuse interstellar bands (DIBs) are important for exploring their origins. However, the Gaia–RVS spectral window between 846 and 870 nm contains few DIBs, ...

    • Stellar ages, masses, extinctions, and orbital parameters based on spectroscopic parameters of Gaia DR3 

      Kordopatis, Georges; Schultheis, Mathias; McMillan, Paul J.; Palicio, Pedro Alonso; de Laverny, Patrick; Recio-Blanco, A.; Creevey, Orlagh; Álvarez, M. A.; Andrae, René; Poggio, Eloisa; Spitoni, Emanuele; Contursi, G.; Zhao, H.; Oreshina-Slezak, I.; Ordenovic, C.; Bijaoui, Albert (EDP Sciences, 2023)
      [Abstract]: Gaia's third data release provides radial velocities for 33 million stars and spectroscopically derived atmospheric parameters for more than 5 million targets. When combined with the astrometric data, these ...

    • The cerium content of the Milky Way as revealed by Gaia DR3 GSP-Spec abundances 

      Contursi, G.; Laverny, Patrick de; Recio-Blanco, A.; Spitoni, Emanuele; Palicio, Pedro Alonso; Poggio, Eloisa; Grisoni, V.; Cescutti, Gabriele; Matteucci, Francesca; Spina, L.; Álvarez, M. A.; Kordopatis, Georges (EDP Sciences, 2023)
      [Abstract]: The recent Gaia third data release contains a homogeneous analysis of millions of high-quality Radial Velocity Spectrometer (RVS) stellar spectra by the GSP-Spec module. This led to the estimation of millions ...

    • The Gaia mission 

      Prusti, T.; Manteiga, M.; Álvarez, M. A.; Arcay, B.; Dafonte, C.; Garabato, D.; Fustes, D.; Liu, C.; Bruijne, J. H. J. de; Brown, A. G. A. (EDP Sciences, 2016-11)
      [Abstract]: Gaia is a cornerstone mission in the science programme of the EuropeanSpace Agency (ESA). The spacecraft construction was approved in 2006, following a study in which the original interferometric concept was ...