Listar GI-LIA2 - Artigos por título

Mostrando ítems 21-40 de 40

    • Gaia DR2 Distances to Planetary Nebulae 

      González Santamaría, I.; Manteiga, Minia; Manchado, Arturo; Ulla, Ana; Dafonte, Carlos (MDPI AG, 2020-04-01)
      [Abstract] The aim of this work is to examine distances to planetary nebulae (PNe) together with other properties that were derived from them, using the astrometry of Gaia Data Release 2 (DR2). We were able to identify ...

    • Gaia Early Data Release 3: Acceleration of the Solar System from Gaia Astrometry 

      Manteiga, Minia; Álvarez, M. A.; Dafonte, Carlos; Garabato, D.; Gómez García, Ángel; González Santamaría, I.; Santoveña, Raúl (EDP Sciences, 2021)
      [Abstract] Context. Gaia Early Data Release 3 (Gaia EDR3) provides accurate astrometry for about 1.6 million compact (QSO-like) extragalactic sources, 1.2 million of which have the best-quality five-parameter astrometric ...

    • Gaia Early Data Release 3: Structure and Properties of the Magellanic Clouds 

      Manteiga, Minia; Álvarez, M. A.; Dafonte, Carlos; Garabato, D.; Gómez García, Ángel; González Santamaría, I.; Santoveña, Raúl (EDP Sciences, 2021)
      [Abstract] Context. This work is part of the Gaia Data Processing and Analysis Consortium papers published with the Gaia Early Data Release 3 (EDR3). It is one of the demonstration papers aiming to highlight the improvements ...

    • Gaia Early Data Release 3: Summary of the Contents and Survey Properties 

      Manteiga, Minia; Álvarez, M. A.; Dafonte, Carlos; Garabato, D.; Gómez García, Ángel; González Santamaría, I.; Santoveña, Raúl (EDP Sciences, 2021)
      [Abstract] Context. We present the early installment of the third Gaia data release, Gaia EDR3, consisting of astrometry and photometry for 1.8 billion sources brighter than magnitude 21, complemented with the list of ...

    • Gaia Early Data Release 3: The celestial reference frame (Gaia-CRF3) 

      Klioner, Sergei; Lindegren, Lennart; Mignard, François; Hernández, J.; Ramos-Lerate, M.; Bastian, U.; Biermann, M.; Bombrun, A.; Torres, A. de; Gerlach, E.; Geyer, R.; Hilger, T.; Hobbs, D.; Lammers, U. L.; McMillan, P. J.; Steidelmüller, H.; Teyssier, D.; Raiteri, C. M.; Bartolomé, S.; Bernet, M.; Castañeda, J.; Clotet, M.; Davidson, M.; Fabricius, C.; Garralda Torres, N.; González-Vidal, J. J.; Portell, J.; Rowell, N.; Torra, F.; Torra, J.; Brown, A. G. A.; Vallenari, A.; Prusti1, T.; de Bruijne, J. H. J.; Arenou, F.; Babusiaux, C.; Creevey, O. L.; Ducourant, C.; Evans, D. W.; Eyer, L.; Guerra, R.; Hutton, A.; Jordi, C.; Luri, X.; Panem, C.; Pourbaix, D.; Randich, S.; Sartoretti, P.; Soubiran, C.; Tanga, P.; Walton, N. A.; Bailer-Jones, C. A. L.; Drimmel, R.; Jansen, F.; Katz, D.; Lattanzi, M. G.; van Leeuwen, F.; Bakker, J.; Cacciari, C.; De Angeli, F.; Fouesneau, M.; Frémat, Y.; Galluccio, L.; Guerrier, A.; Heiter, U.; Masana, E.; Messineo, R.; Mowlavi, N.; Nicolas, C.; Nienartowicz, K.; Pailler, F.; Panuzzo, P.; Riclet, F.; Roux, W.; Seabroke, G. M.; Sordo, R.; Thévenin, F.; Gracia-Abril, G.; Altmann, M.; Andrae, R.; Audard, M.; Bellas-Velidis, I.; Benson, K.; Berthier, J.; Blomme, R.; Burgess, P. W.; Busonero, D.; Busso, G.; Cánovas, H.; Carry, B.; Cellino, A.; Cheek, N.; Clementini, G.; Damerdji, Y.; de Teodoro, P.; Núñez Campos, M.; Delchambre, L.; Dell’Oro, A.; Esquej, P.; Fernández-Hernández, J.; Fraile, E.; Garabato, D.; García-Lario, P.; Gosset, E.; Haigron, R.; Halbwachs, J.-L.; Hambly, N. C.; Harrison, D. L.; Hestroffer, D.; Hodgkin, S. T.; Holl, B.; Janßen, K.; Jevardat de Fombelle, G.; Jordan, S.; Krone-Martins, A.; Lanzafame, A. C.; Löffler, W.; Marchal, O.; Marrese, P. M.; Moitinho, A.; Muinonen, K.; Osborne, P.; Pancino, E.; Pauwels, T.; Recio-Blanco, A.; Reylé, C.; Riello, M.; Rimoldini, L.; Roegiers, T.; Rybizki, J.; Sarro, L. M.; Siopis, C.; Smith, M.; Sozzetti, A.; Utrilla, E.; van Leeuwen, M.; Abbas, U.; Ábrahám, P.; Abreu Aramburu, A.; Aerts, C.; Aguado, J. J.; Ajaj, M.; Aldea-Montero, F.; Altavilla, G.; Álvarez, M. A.; Alves, J.; Anderson, R. I.; Anglada Varela, E.; Antoja, T.; Baines, D.; Baker, Steven; Balaguer-Núñez, L.; Balbinot, E.; Balog, Z.; Barache, C.; Barbato, D.; Barros, M.; Barstow, M. A.; Bassilana, J.-L.; Bauchet, N.; Becciani, U.; Bellazzini, M.; Berihuete, A.; Bertone, S.; Bianchi, L.; Binnenfeld, A.; Blanco-Cuaresma, S.; Boch, T.; Bossini, D.; Bouquillon, S.; Bragaglia, A.; Bramante, L.; Breedt, E.; Bressan, A.; Brouillet, N.; Brugaletta, E.; Bucciarelli, B.; Burlacu, A.; Butkevich, A. G.; Buzzi, R.; Caffau, E.; Cancelliere, R.; Cantat-Gaudin, T.; Carballo, R.; Carlucci, T.; Carnerero, M. I.; Carrasco, J. M.; Casamiquela, L.; Castellani, M.; Castro-Ginard, A.; Chaoul, L.; Charlot, P.; Chemin, L.; Chiaramida, V.; Chiavassa, A.; Chornay, N.; Comoretto, G.; Contursi, G.; Cooper, W. J.; Cornez, T.; Cowell, S.; Crifo, F.; Cropper, M.; Crosta, M.; Crowley, C.; Dafonte, Carlos; Dapergolas, A.; David, P.; Laverny, P. de; De Luise, F.; De March, R.; De Ridder, J.; de Souza, R.; Peloso, E. F. del; Pozo, E. del; Delbo, M.; Delgado, A.; Delisle, J.-B.; Demouchy, C.; Dharmawardena, T. E.; Diakite, S.; Diener, C.; Distefano, E.; Dolding, C.; Enke, H.; Fabre, C.; Fabrizio, M.; Faigler, S.; Fedorets, G.; Fernique, P.; Fienga, A.; Figueras, F.; Fournier, Y.; Fouron, C.; Fragkoudi, F.; Gai, M.; García-Gutiérrez, A.; García-Reinaldos, M.; García-Torres, M.; Garofalo, A.; Gavel, A.; Gavras, P.; Giacobbe, P.; Gilmore, G.; Girona, S.; Giuffrida, G.; Gomel, R.; Gómez, Ángel; González-Núñez, J.; González Santamaría, I.; Granvik, M.; Guillout, P.; Guiraud, J.; Gutiérrez-Sánchez, R.; Guy, L. P.; Hatzidimitriou, D.; Hauser, M.; Haywood, M.; Helmer, A.; Helmi, A.; Sarmiento, M. H.; Hidalgo, S. L.; Hładczuk, N.; Holland, G.; Huckle, H. E.; Jardine, K.; Jasniewicz, G.; Jean-Antoine Piccolo, A.; Jiménez-Arranz, Ó.; Juaristi Campillo, J.; Julbe, F.; Karbevska, L.; Kervella, P.; Khanna, S.; Kordopatis, G.; Korn, A. J.; Kóspál, Á.; Kostrzewa-Rutkowska, Z.; Kruszynska, K.; Kun, M.; Laizeau, P.; Lambert, S.; Lanza, A. F.; Lasne, Y.; Le Campion, J.-F.; Lebreton, Y.; Lebzelter, T.; Leccia, S.; Leclerc, N.; Lecoeur-Taibi, I.; Liao, S.; Licata, E. L.; Lindstrøm, H. E. P.; Lister, T. A.; Livanou, E; Lobel, A.; Lorca, A.; Loup, C.; Madrero Pardo, P.; Magdaleno Romeo, A.; Managau, S.; Mann, R. G.; Manteiga, Minia; Marchant, J. M.; Marconi, M.; Marcos, J.; Marcos Santos, M. M. S.; Marín Pina, D.; Marinoni, S.; Marocco, F.; Marshall, D. J.; Martin Polo, L.; Martín-Fleitas, J. M.; Marton, G.; Mary, N.; Masip, A.; Massari, D.; Mastrobuono-Battisti, A.; Mazeh, T.; Messina, S.; Michalik, D.; Millar, N. R.; Mints, A.; Molina, D.; Molinaro, R.; Molnár, L.; Monari, G.; Monguió, M.; Montegriffo, P.; Montero, A.; Mor, R.; Mora, A.; Morbidelli, R.; Morel, T.; Morris, D.; Muraveva, T.; Murphy, C. P.; Musella, I.; Nagy, Z.; Noval, L.; Ocaña, F.; Ogden, A.; Ordenovic, C.; Osinde, J. O.; Pagani, C.; Pagano, I.; Palaversa, L.; Palicio, P. A.; Pallas-Quintela, Lara; Panahi, A.; Payne-Wardenaar, S.; Peñalosa Esteller, X.; Penttilä, A.; Pichon, B.; Piersimoni, A. M.; Pineau, F.-X.; Plachy, E.; Plum, G.; Poggio, E.; Prš, A.; Pulone, L.; Racero, E.; Ragaini, S.; Rainer, M.; Rambaux, N.; Ramos, P.; Re Fiorentin, P.; Regibo, S.; Richards, P. J.; Rios Diaz, C.; Ripepi, V.; Riva, A.; Rix, H.-W.; Rixon, G.; Robichon, N.; Robin, A. C.; Robin, C.; Roelens, M.; Rogues, H. R. O.; Rohrbasser, L.; Romero-Gómez, M.; Royer, F.; Ruz Mieres, D.; Rybicki, K. A.; Sadowski, G.; Sáez Núñez, A.; Sagristà Sellés, A.; Sahlmann, J.; Salguero, E.; Samaras, N.; Sánchez Giménez, V.; Sanna, N.; Santoveña, Raúl; Sarasso, M.; Schultheis, M.; Sciacca, E.; Segol, M.; Segovia, J. C.; Ségransan, D.; Semeux, D.; Shahaf, S.; Siddiqui, H. I.; Siebert, A.; Siltala, L.; Slezak, E.; Slezak, I.; Smart, R. L.; Snaith, O. N.; Solano, E.; Solitro, F.; Souami, D.; Souchay, J.; Spagna, A.; Spina, L.; Spoto, F.; Steele, I. A.; Stephenson, C. A.; Süveges, M.; Surdej, J.; Szabados, L.; Szegedi-Elek, E.; Taris, F.; Taylor, M. B.; Teixeira, R.; Tolomei, L.; Tonello, N.; Torralba Elipe, Guillermo; Silvelo, Arturo; Trabucchi, M.; Tsounis, A. T.; Turon, C.; Ulla, A.; Unger, N.; Vaillant, M. V.; van Dillen, E.; van Reeven, W.; Vanel, O.; Vecchiato, A.; Viala, Y.; Vicente, D.; Voutsinas, S.; Weiler, M.; Wevers, T.; Wyrzykowski, L.; Yoldas, A.; Yvard, P.; Zhao, H.; Zorec, J.; Zucker, S.; Zwitter, T. (EDP Sciences, 2022-11-23)
      [Abstract]: Context. Gaia-CRF3 is the celestial reference frame for positions and proper motions in the third release of data from the Gaia mission, Gaia DR3 (and for the early third release, Gaia EDR3, which contains ...

    • Gaia Early Data Release 3: The Gaia Catalogue of Nearby Stars 

      Manteiga, Minia; Álvarez, M. A.; Dafonte, Carlos; Garabato, D.; Gómez García, Ángel; González Santamaría, I.; Santoveña, Raúl (EDP Sciences, 2021)
      [Abstract] Aims. We produce a clean and well-characterised catalogue of objects within 100 pc of the Sun from the Gaia Early Data Release 3. We characterise the catalogue through comparisons to the full data release, ...

    • 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 ...

    • 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. ...

    • 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 ...

    • Personalized Virtual Reality Environments for Intervention with People with Disability 

      Lagos Rodríguez, Manuel; Gómez García, Ángel; Pereira-Loureiro, Javier; Pousada, Thais (MDPI, 2022)
      [Abstract] Background: Virtual reality (VR) is a technological resource that allows the generation of an environment of great realism while achieving user immersion. The purpose of this project is to use VR as a complementary ...

    • Phosphorus-Rich Stars With Unusual Abundances Are Challenging Theoretical Predictions 

      Masseron, Thomas; García-Hernández, D. A.; Santoveña, Raúl; Manchado, Arturo; Zamora, Olga; Manteiga, Minia; Dafonte, Carlos (Nature Publishing Group, 2020-08-04)
      [Abstract] Almost all chemical elements have been made by nucleosynthetic reactions in various kind of stars and have been accumulated along our cosmic history. Among those elements, the origin of phosphorus is of extreme ...

    • Planetary Nebulae in Gaia EDR3: Central Star Identification, Properties, and Binarity 

      González Santamaría, I.; Manteiga, Minia; Manchado, Arturo; Ulla, Ana; Dafonte, Carlos; López-Varela, Pablo (EDP Science, 2021)
      [Abstract] Context. The Gaia Early Data Release 3 (EDR3), published in December 2020, features improved photometry and astrometry compared to that published in the previous DR2 file and includes a substantially larger ...

    • QKDNetSim+: Improvement of the quantum network simulator for NS-3 

      Soler, David; Cillero Seijas, Iván; Dafonte, Carlos; Fernández Veiga, Manuel; Fernández Vilas, Ana; Nóvoa, Francisco (Elsevier, 2024)
      [Abstract]: The first Quantum Key Distribution (QKD) networks are currently being deployed, but the implementation cost is still prohibitive for most researchers. As such, there is a need for realistic QKD network simulators. ...

    • Safety and Traceability in Patient Healthcare through the Integration of RFID Technology for Intravenous Mixtures in the Prescription-Validation-Elaboration-Dispensation-Administration Circuit to Day Hospital Patients 

      Martínez Pérez, María; Vázquez González, Guillermo; Dafonte, Carlos
      This work presents the integration of the RFID technology with the aim of ensuring the traceability of patients and minimization of adverse events during the process of prescription-validation-elaboration-dispensation-ad ...

    • 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 Development of an RFID Solution to Facilitate the Traceability of Patient and Pharmaceutical Data 

      Martínez Pérez, María; Vázquez González, Guillermo; Dafonte, Carlos (M D P I AG, 2017-09-29)
      [Abstract] One of the principal objectives of hospitals is to increase the quality of care of the patient. This is even more of a priority in Day Hospitals where certain medication requires special attention, from its ...

    • 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 ...

    • Traceability in Patient Healthcare through the Integration of RFID Technology in an ICU in a Hospital 

      Martínez Pérez, María; Dafonte, Carlos; Gómez García, Ángel (M D P I AG, 2018-05-19)
      [Abstract] Patient safety is a principal concern for health professionals in the care process and it is, therefore, necessary to provide information management systems to each unit of the hospital, capable of tracking ...