Listar por autor "Manteiga, Minia"
Mostrando ítems 1-20 de 56
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A Blended Artificial Intelligence Approach for Spectral Classification of Stars in Massive Astronomical Surveys
Dafonte, Carlos; Rodríguez, Alejandra; Manteiga, Minia; Gómez García, Ángel; Arcay, Bernardino (MDPI AG, 2020-05-01)[Abstract] This paper analyzes and compares the sensitivity and suitability of several artificial intelligence techniques applied to the Morgan–Keenan (MK) system for the classification of stars. The MK system is based ... -
A method based on Generative Adversarial Networks for disentangling physical and chemical properties of stars in astronomical spectra
Santoveña, Raúl; Dafonte, Carlos; Manteiga, Minia (Elsevier, 2025)[Abstract] This work presents the design of an autoencoder architecture that uses adversarial training in the context of astrophysical spectral analysis. We aim to develop a middle representation of stellar spectra in which ... -
A search for Galactic post-asymptotic giant branch stars in Gaia DR3
Manteiga, Minia; González Santamaría, I.; Dafonte, Carlos; Villaver, Eva; Ulla, Ana; Machado, A. (EDP Sciences, 2024)[Abstract] Context. When low- and intermediate-mass stars leave the asymptotic giant branch (AGB) phase, and before they reach the planetary nebula stage, they enter a very brief and rather puzzling stellar evolutionary ... -
Advanced classification of hot subdwarf binaries using artificial intelligence techniques and Gaia DR3 data
Manteiga, Minia; Álvarez, M. A.; Santoveña, Raúl; Dafonte, Carlos; Solan, E.; Ulla, Ana; Viscasillas Vázquez, Carlos; Ambrosch, Markus; Magrini, Laura; Pérez-Fernández, Esther; Aller, Alba; Drazdauskas, Arnas; Mikolaitis, Šarūnas; Rodrigo Blanco, Carlos (EDP Sciences, 2024)[Abstract] Context. Hot subdwarf stars are compact blue evolved objects, burning helium in their cores surrounded by a tiny hydrogen envelope. In the Hertzsprung-Russell Diagram they are located by the blue end of the ... -
AI-based user authentication reinforcement by continuous extraction of behavioral interaction features
Garabato, D.; Dafonte, Carlos; Santovena, Raul; Silvelo, Arturo; Nóvoa, Francisco; Manteiga, Minia (Springer, 2022-07)[Abstract]: In this work, we conduct an experiment to analyze the feasibility of a continuous authentication method based on the monitorization of the users' activity to verify their identities through specific user profiles ... -
Analysis and Knowledge Discovery by Means of Self-Organizing Maps for Gaia Data Releases
Álvarez, M. A.; Dafonte, Carlos; Garabato, D.; Manteiga, Minia (Springer, 2016)[Abstract]: A billion stars: this is the approximate amount of visible objects estimated to be observed by the Gaia satellite, representing roughly 1 % of the objects in the Galaxy. It constitutes the biggest amount of ... -
Analyzing Supervised Machine Learning Models for Classifying Astronomical Objects Using Gaia DR3 Spectral Features
Manteiga, Minia; Pérez Cruz, Orestes Javier; Martínez-Pinto, Cynthia Alejandra; Navarro Jiménez, Silvana Guadalupe; Corral, Luis (MDPI, 2024)[Abstract] In this paper, we present an analysis of the effectiveness of various machine learning algorithms in classifying astronomical objects using data from the third release (DR3) of the Gaia space mission. The dataset ... -
Close Binary Stars in Planetary Nebulae through Gaia EDR3
González Santamaría, I.; Manteiga, Minia; Dafonte, Carlos (MDPI, 2021)[Abstract] The aim of this work is to search for evidence of close binary stars associated with planetary nebulae (ionized stellar envelopes in expansion) by mining the astronomical archive of Gaia EDR3. For this task, ... -
Discovery of a dormant 33 solar-mass black hole in pre-release Gaia astrometry
Manteiga, Minia; Álvarez, M. A.; Santoveña, Raúl; Panuzzo, P.; Pallas-Quintela, Lara; Garabato, D.; Gómez García, Ángel; Dafonte, Carlos; González Santamaría, I.; Torralba Elipe, Guillermo; Župić, Andrija (EDP Sciences, 2024)[Abstract] Context. Gravitational waves from black-hole (BH) merging events have revealed a population of extra-galactic BHs residing in short-period binaries with masses that are higher than expected based on most stellar ... -
Disentangling stellar atmospheric parameters in astronomical spectra using generative adversarial neural networks. Application to Gaia/RVS parameterisation
Manteiga, Minia; Santoveña, Raúl; Álvarez, M. A.; Dafonte, Carlos; Navarro Jiménez, Silvana Guadalupe; Corral, Luis; Penedo, Manuel (EDP Sciences, 2025)[Abstract] Context. The rapid expansion of large-scale spectroscopic surveys has highlighted the need to use automatic methods to extract information about the properties of stars with the greatest efficiency and accuracy, ... -
Distributed Fast Self-Organized Maps for Massive Spectrophotometric Data Analysis
Dafonte, Carlos; Garabato, D.; Álvarez, M. A.; Manteiga, Minia (MDPI AG, 2018-05-03)[Abstract] Analyzing huge amounts of data becomes essential in the era of Big Data, where databases are populated with hundreds of Gigabytes that must be processed to extract knowledge. Hence, classical algorithms must be ... -
Distributed Fast Self-Organized Maps for Massive Spectrophotometric Data Analysis
Dafonte, Carlos; Garabato, D.; Álvarez, M. A.; Manteiga, Minia (MDPI, 2018-11)[Abstract]: Analyzing huge amounts of data becomes essential in the era of Big Data, where databases are populated with hundreds of Gigabytes that must be processed to extract knowledge. Hence, classical algorithms must ... -
Elementos y ventajas del enrutado meteorológico en la era del COVID-19
Manteiga, Minia; López-Varela, Pablo (Instituto Universitario de Estudios Marítimos y Aranzadi, 2022)[Resumen] La pandemia debida a la enfermedad SARS-COV-2 ha puesto en evidencia que los problemas globales han de enfrentarse con herramientas novedosas que integren colaboraciones constructivas de sectores diversos ... -
Gaia Data Release 1: Summary of the astrometric, photometric, and survey properties
Brown, A. G. A.; Vallenari, A.; Prusti, T.; Bruijne, J. H.J. de; Manteiga, Minia; Álvarez, M. A.; Arcay, Bernardino; Dafonte, Carlos; Garabato, D.; Fustes, D. (EDP Sciences, 2016-11)[Abstract]: Context. At about 1000 days after the launch of Gaia we present the first Gaia data release, Gaia DR1, consisting of astrometry and photometry for over 1 billion sources brighter than magnitude 20.7. Aims. A ... -
Gaia Data Release 2: Mapping the Milky Way disc kinematics
Katz, D.; Manteiga, Minia; Álvarez, M. A.; Arcay, Bernardino; Dafonte, Carlos; Garabato, D. (EDP Sciences, 2018)[Abstract] Context. The second Gaia data release (Gaia DR2) contains high-precision positions, parallaxes, and proper motions for 1.3 billion sources as well as line-of-sight velocities for 7.2 million stars brighter than ... -
Gaia Data Release 2: Observational Hertzsprung-Russell diagrams
Babusiaux, C.; Manteiga, Minia; Álvarez, M. A.; Arcay, Bernardino; Dafonte, Carlos; Garabato, D. (EDP Sciences, 2018)[Abstract] Context. Gaia Data Release 2 provides high-precision astrometry and three-band photometry for about 1.3 billion sources over the full sky. The precision, accuracy, and homogeneity of both astrometry and photometry ... -
Gaia Data Release 2: Observations of solar system objects
Manteiga, Minia; Spoto, F.; Álvarez, M. A.; Arcay, Bernardino; Dafonte, Carlos; Garabato, D. (EDP Sciences, 2018)[Abstract] Context. The Gaia spacecraft of the European Space Agency (ESA) has been securing observations of solar system objects (SSOs) since the beginning of its operations. Data Release 2 (DR2) contains the observations ... -
Gaia Data Release 2: Summary of the contents and survey properties
Brown, A. G. A.; Vallenari, A.; Prusti, T.; Bruijne, J. H.J. de; Babusiaux, C.; Manteiga, Minia; Álvarez, M. A.; Arcay, Bernardino; Dafonte, Carlos; Garabato, D. (EDP Sciences, 2018-08)[Abstract]: Context. We present the second Gaia data release, Gaia DR2, consisting of astrometry, photometry, radial velocities, and information on astrophysical parameters and variability, for sources brighter than magnitude ... -
Gaia Data Release 3: A golden sample of astrophysical parameters
Creevey, O. L.; Manteiga, Minia; González Santamaría, I.; Garabato, D.; Álvarez, M. A.; Dafonte, Carlos; Gómez García, Ángel; Pallas-Quintela, Lara; Santoveña, Raúl; Silvelo, Arturo (EDP Sciences, 2023)[Abstract] Context.Gaia Data Release 3 (DR3) provides a wealth of new data products for the astronomical community to exploit, including astrophysical parameters for half a billion stars. In this work, we demonstrate the ... -
Gaia Data Release 3: Analysis of RVS spectra using the General Stellar Parametriser from spectroscopy
Recio-Blanco, A.; Torralba Elipe, Guillermo; Manteiga, Minia; Dafonte, Carlos; Garabato, D.; Gómez García, Ángel; González Santamaría, I.; Pallas-Quintela, Lara; Santoveña, Raúl; Silvelo, Arturo (EDP Sciences, 2023-06)[Abstract] Context. The chemo-physical parametrisation of stellar spectra is essential for understanding the nature and evolution of stars and of Galactic stellar populations. A worldwide observational effort from the ...