Persona: Solano, Enrique
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Publicación Restringido A Catalog of Wide Binary and Multiple Systems of Bright Stars from Gaia-DR2 and the Virtual Observatory(The Institute of Physics (IOP), 2019-01-28) Jiménez Esteban, F. M.; Rodrigo, C.; Solano, Enrique; Ministerio de Economía y Competitividad (MINECO); Agencia Estatal de Investigación (AEI); European Research Council (ERC); Unidad de Excelencia Científica María de Maeztu Centro de Astrobiología del Instituto Nacional de Técnica Aeroespacial y CSIC, MDM-2017-0737Binary and multiple stars have long provided an effective empirical method of testing stellar formation and evolution theories. In particular, the existence of wide binary systems (separations >20,000 au) is particularly challenging to binary formation models as their physical separations are beyond the typical size of a collapsing cloud core (~5000–10,000 au). We mined the recently published Gaia-DR2 catalog to identify bright comoving systems in the five-dimensional space (sky position, parallax, and proper motion). We identified 3741 comoving binary and multiple stellar candidate systems, out of which 575 have compatible radial velocities for all the members of the system. The candidate systems have separations between ~400 and 500,000 au. We used the analysis tools of the Virtual Observatory to characterize the comoving system members and to assess their reliability. The comparison with previous comoving systems catalogs obtained from TGAS showed that these catalogs contain a large number of false systems. In addition, we were not able to confirm the ultra-wide binary population presented in these catalogs. The robustness of our methodology is demonstrated by the identification of well known comoving star clusters and by the low contamination rate for comoving binary systems with projected physical separations <50,000 au. These last constitute a reliable sample for further studies. The catalog is available online at the Spanish Virtual Observatory portal (http://svo2.cab.inta-csic.es/vocats/v2/comovingGaiaDR2/).Publicación Restringido Clusterix 2.0: a virtual observatory tool to estimate cluster membership probability.(Oxford Academics: Blackwell Publishing, 2020-02-11) Balaguer Núñez, L.; López del Fresno, M.; Galadí Enríquez, D.; Jordi, C.; Jiménez Esteban, F. M.; Masana, E.; Carbajo Hijarrubia, J.; Paunzen, E.; Solano, Enrique; Agencia Estatal de Investigación (AEI); European Commission (EC); European Research Council (ERC); 0000-0001-9789-7069; 0000-0002-3304-5200; 0000-0002-6985-9476; Unidad de Excelencia Científica María de Maeztu Instituto de Ciencias del Cosmos (ICCUB), MDM-2014-0369; Unidad de Excelencia Científica María de Maeztu Centro de Astrobiología del Instituto Nacional de Técnica Aeroespacial y CSIC, MDM-2017-0737Clusterix 2.0 is a web-based, Virtual Observatory compliant, interactive tool for the determination of membership probabilities in stellar clusters based on proper-motion data using a fully non-parametric method. In an area occupied by a cluster, the frequency function is made up of two contributions: cluster and field stars. The tool performs an empirical determination of the frequency functions from the vector point diagram without relying on any previous assumption about their profiles. Clusterix 2.0 allows us to search the appropriate spatial areas in an interactive way until an optimal separation of the two populations is obtained. Several parameters can be adjusted to make the calculation computationally feasible without interfering with the quality of the results. The system offers the possibility to query different catalogues, such as Gaia, or upload a user’s own data. The results of the membership determination can be sent via Simple Application Messaging Protocol (SAMP) to Virtual Observatory (VO) tools such as Tool for OPerations on Catalogues And Tables (TOPCAT). We apply Clusterix 2.0 to several open clusters with different properties and environments to show the capabilities of the tool: an area of five degrees radius around NGC 2682 (M67), an old, well-known cluster; a young cluster NGC 2516 with a striking elongated structure extended up to four degrees; NGC 1750 and NGC 1758, a pair of partly overlapping clusters; the area of NGC 1817, where we confirm a little-known cluster, Juchert 23; and an area with many clusters, where we disentangle two overlapping clusters situated where only one was previously known: Ruprecht 26 and the new CLUSTERIX 1.Publicación Acceso Abierto The CARMENES search for exoplanets around M dwarfs: Dynamical characterization of the multiple planet system GJ 1148 and prospects of habitable exomoons around GJ 1148 b(EDP Sciences, 2020-06-03) Trifonov, T.; Lee, M. H.; Kürster, M.; Henning, T.; Grishin, E.; Stock, S.; Tjoa, J.; Caballero, J. A.; Wong, K. H.; Bauer, F. F.; Quirrenbach, A.; Zechmeister, M.; Ribas, I.; Reffert, S.; Reiners, A.; Amado, P. J.; Kossakowski, D.; Azzaro, M.; Béjar, V. J. S.; Cortés Contreras, M.; Dreizler, S.; Hatzes, A. P.; Jeffers, S. V.; Kaminski, A.; Lafarga, M.; Montes, D.; Morales, J. C.; Pavlov, A.; Rodríguez López, C.; Schmitt, H. M. M.; Barnes, R.; Solano, Enrique; Deutsche Forschungsgemeinschaft (DFG); Ministerio de Economía y Competitividad (MINECO); Junta de Andalucía; European Research Council (ERC); Agencia Estatal de Investigación (AEI); Trifonov, T. https://orcid.org/0000-0002-0236-775X; Unidad de Excelencia Científica María de Maeztu Centro de Astrobiología del Instituto Nacional de Técnica Aeroespacial y CSIC, MDM-2017-0737; Centros de Excelencia Severo Ochoa, INSTITUTO DE ASTROFÍSICA DE CANARIAS (IAC), SEV-2015-0548; Centros de Excelencia Severo Ochoa, INSTITUTO DE ASTROFISICA DE ANDALUCIA (IAA), SEV-2017-0709Context. GJ 1148 is an M-dwarf star hosting a planetary system composed of two Saturn-mass planets in eccentric orbits with periods of 41.38 and 532.02 days. Aims. We reanalyze the orbital configuration and dynamics of the GJ 1148 multi-planetary system based on new precise radial velocity measurements taken with CARMENES. Methods. We combined new and archival precise Doppler measurements from CARMENES with those available from HIRES for GJ 1148 and modeled these data with a self-consistent dynamical model. We studied the orbital dynamics of the system using the secular theory and direct N-body integrations. The prospects of potentially habitable moons around GJ 1148 b were examined. Results. The refined dynamical analyses show that the GJ 1148 system is long-term stable in a large phase-space of orbital parameters with an orbital configuration suggesting apsidal alignment, but not in any particular high-order mean-motion resonant commensurability. GJ 1148 b orbits inside the optimistic habitable zone (HZ). We find only a narrow stability region around the planet where exomoons can exist. However, in this stable region exomoons exhibit quick orbital decay due to tidal interaction with the planet. Conclusions. The GJ 1148 planetary system is a very rare M-dwarf planetary system consisting of a pair of gas giants, the inner of which resides in the HZ. We conclude that habitable exomoons around GJ 1148 b are very unlikely to exist. © 2020 T. Trifonov et al.Publicación Acceso Abierto The CARMENES search for exoplanets around M dwarfs: Measuring precise radial velocities in the near infrared: The example of the super-Earth CD Cet b(EDP Sciences, 2020-08-10) Bauer, F. F.; Zechmeister, M.; Kaminski, A.; Rodríguez López, C.; Caballero, J. A.; Azzaro, M.; Stahl, S.; Kossakowski, D.; Quirrenbach, A.; Becerril Jarque, S.; Rodríguez, E.; Amado, P. J.; Seifert, W.; Reiners, A.; Schäfer, S.; Ribas, I.; Béjar, V. J. S.; Cortés Contreras, M.; Dreizler, S.; Hatzes, A.; Henning, T.; Jeffers, S. V.; Kürster, M.; Lafarga, M.; Montes, D.; Morales, J. C.; Schmitt, H. M. M.; Schweitzer, A.; Solano, Enrique; European Research Council (ERC); Agencia Estatal de Investigación (AEI); Ministerio de Economía y Competitividad (MINECO); Deutsche Forschungsgemeinschaft (DFG); 0000-0003-1212-5225; Unidad de Excelencia Científica María de Maeztu Centro de Astrobiología del Instituto Nacional de Técnica Aeroespacial y CSIC, MDM-2017-0737; Centros de Excelencia Severo Ochoa, INSTITUTO DE ASTROFISICA DE ANDALUCIA (IAA), SEV-2017-0709; Centros de Excelencia Severo Ochoa, INSTITUTO DE ASTROFÍSICA DE CANARIAS (IAC), SEV-2015-0548The high-resolution, dual channel, visible and near-infrared spectrograph CARMENES offers exciting opportunities for stellar and exoplanetary research on M dwarfs. In this work we address the challenge of reaching the highest radial velocity precision possible with a complex, actively cooled, cryogenic instrument, such as the near-infrared channel. We describe the performance of the instrument and the work flow used to derive precise Doppler measurements from the spectra. The capability of both CARMENES channels to detect small exoplanets is demonstrated with the example of the nearby M5.0 V star CD Cet (GJ 1057), around which we announce a super-Earth (4.0 ± 0.4 M· ) companion on a 2.29 d orbit. © 2020 ESO.Publicación Restringido Infrared-excess white dwarfs in the Gaia 100 pc sample(Oxford Academics: Oxford University Press, 2019-09-02) Rebassa Mansergas, A.; Xu, S.; Rodrigo, C.; Jiménez Esteban, F. M.; Torres, S.; Solano, Enrique; Agencia Estatal de Investigación (AEI); Rodrigo, C. [0000-0001-6068-0077]; Xu, S. [0000-0002-8808-4282]; Jiménez Esteban, F. M. [0000-0002-6985-9476]; Solano, E. [0000-0003-1885-5130]; Unidad de Excelencia Científica María de Maeztu Centro de Astrobiología del Instituto Nacional de Técnica Aeroespacial y CSIC, MDM-2017-0737We analyse the 100 pc Gaia white dwarf volume-limited sample by means of VOSA (Virtual Observatory SED Analyser) with the aim of identifying candidates for displaying infrared excesses. Our search focuses on the study of the spectral energy distribution (SED) of 3733 white dwarfs with reliable infrared photometry and GBP − GRP colours below 0.8 mag, a sample that seems to be nearly representative of the overall white dwarf population. Our search results in 77 selected candidates, 52 of which are new identifications. For each target, we apply a two-component SED fitting implemented in VOSA to derive the effective temperatures of both the white dwarf and the object causing the excess. We calculate a fraction of infrared-excess white dwarfs due to the presence of a circumstellar disc of 1.6 ± 0.2 per cent, a value that increases to 2.6 ± 0.3 per cent if we take into account incompleteness issues. Our results are in agreement with the drop in the percentage of infrared excess detections for cool (<8000 K) and hot (>20 000 K) white dwarfs obtained in previous analyses. The fraction of white dwarfs with brown dwarf companions we derive is ≃0.1–0.2 per cent.Publicación Acceso Abierto Wide companions to M and L subdwarfs with Gaia and the Virtual Observatory(EDP Sciences, 2021-06-29) González Payo, J.; Cortés Contreras, M.; Lodieu, N.; Zhang, Z. H.; Gálves Ortiz, M. C.; Solano, Enrique; Agencia Estatal de Investigación (AEI); European Research Council (ERC)Aims. The aim of the project is to identify wide common proper motion companions to a sample of spectroscopically confirmed M and L metal-poor dwarfs (also known as subdwarfs) to investigate the impact of metallicity on the binary fraction of low-mass metal-poor binaries and to improve the determination of their metallicity from the higher-mass binary. Methods. We made use of Virtual Observatory tools and large-scale public surveys to look in Gaia for common proper motion companions to a well-defined sample of ultracool subdwarfs with spectral types later than M5 and metallicities below or equal to −0.5 dex. We collected low-resolution optical spectroscopy for our best system, which is a binary composed of one sdM1.5 subdwarf and one sdM5.5 subdwarf located at ∼1360 au, and for another two likely systems separated by more than 115 000 au. Results. We confirm one wide companion to an M subdwarf, and infer a multiplicity for M subdwarfs (sdMs) of 1.0−1.0+2.0% for projected physical separations of up to 743 000 au. We also find four M–L systems, three of which are new detections. No colder companion was identified in any of the 219 M and L subdwarfs of the sample, mainly because of limitations on the detection of faint sources with Gaia. We infer a frequency of wide systems for sdM5–9.5 of 0.60−0.60+1.17% for projected physical separations larger than 1 360 au (up to 142 400 au). This study shows a multiplicity rate of 1.0−1.0+2.0% in sdMs, and 1.9−1.9+3.7% in extreme M subdwarfs. We did not find any companion for the ultra M subdwarfs of our sample, establishing an upper limit of 5.3% on binarity for these objects.Publicación Acceso Abierto Gaia Early Data Release 3 Structure and properties of the Magellanic Clouds(EDP Sciences, 2021-04-28) Luri, X.; Chemin, L.; Clementini, G.; Delgado, H. E.; McMillan, P. J.; Romero Gómez, M.; Balbinot, E.; Castro Ginard, A.; Mor, R.; Ripepi, V.; Sarro, L. M.; Mulone, A. F.; Siebert, A.; Le Fustec, Y.; Helmi, A.; Pourbaix, D.; Brown, A. G. A.; Vallenari, A.; Guerrier, A.; Utrilla, E.; Samaras, N.; González Santamaría, I.; Piersimoni, A. M.; Evans, D. W.; Busso, G.; Garofalo, A.; Jansen, F.; Fernández Hernández, J.; Klioner, S. A.; Liao, S.; Muñoz, D.; González Núñez, J.; Morris, D.; Fragkoudi, F.; Pineau, F. X.; Hutton, A.; Leclerc, N.; Delgado, A.; Hilger, T.; Girona, S.; Torra, F.; Drimmel, R.; De Laverny, P.; Lattanzi, M. G.; García Lario, P.; Zwitter, T.; Castañeda, J.; Jordi, C.; Musella, I.; Halbwachs, J. L.; Fabricius, C.; Randich, S.; Siopis, C.; Guiraud, J.; Zurbach, C.; De Angeli, F.; Charlot, P.; Palicio, P. A.; Kostrzewa Rutkowska, Z.; Lindegren, L.; Ducourant, C.; Buzzi, R.; Rambaux, N.; Roelens, M.; Julbe, F.; Molinaro, R.; Tanga, P.; Castellani, M.; Gracia Abril, G.; García Reinaldos, M.; Teyssier, D.; Aerts, C.; Sordo, R.; Bellas Velidis, I.; Álvarez, M. A.; Berthier, J.; Rohrbasser, L.; Anglada Varela, E.; Sánchez Giménez, V.; Zorec, J.; Pulone, L.; Marocco, F.; Madrero Pardo, P.; Robin, A. C.; Davidson, M.; Riclet, F.; Dell´Oro, A.; Benson, K.; Turron, C.; Seabroke, G. M.; Boch, T.; Pawlak, M.; Salgado, J.; Millar, N. R.; Blomme, R.; Galluccio, L.; Fabre, C.; Segovia, J. C.; Rixon, G.; Siltala, L.; Messineo, R.; Rainer, M.; Holl, B.; Recio Blanco, A.; Jevardat de Fombelle, G.; Jordan, S.; Ajaj, M.; Biermann, M.; Van Leeuwen, F.; Szegedi Elek, E.; Bertone, S.; Hodgkin, S. T.; Moitinho, A.; Bragaglia, A.; Muinonen, K.; Regibo, S.; Slezak, E.; Brouillet, N.; Massari, D.; Taris, F.; Pailler, F.; Marrese, P. M.; Ramos Lerate, M.; Lindstrom, H. E. P.; Osinde, J.; Morbidelli, R.; Burgess, P. W.; Sozzetti, A.; Ulla, A.; Breedt, E.; Heiter, U.; Van Reeven, W.; Mora, A.; Arenou, F.; Busonero, D.; Destroffer, D.; Richards, P. J.; De Luise, F.; Hatzidimitriou, D.; Abbas, U.; Kervella, P.; Steidelmüller, H.; Poujoulet, E.; Pancino, E.; Abreu Aramburu, A.; Haywood, M.; Van Dillen, E.; Yoldas, A.; Segol, M.; Balog, Z.; Juaristi Campillo, J.; Barbato, D.; Bressan, A.; Barstow, M. A.; Delisle, J. B.; Balaguer Núñez, L.; Bauchet, N.; Di Stefano, E.; Yvard, P.; Enke, H.; Bakker, J.; Hambly, N. C.; Torra, J.; Soubiran, C.; Robin, C.; David, M.; Bossini, D.; Baines, D.; Baudesson Stella, A.; Carry, B.; Muraveva, T.; Geyer, R.; Süveges, M.; Katz, D.; Schultheis, M.; Becciani, U.; Bramante, S.; Marcos Santos, M. M. S.; Cropper, M.; Mowlavi, N.; Álvarez Cid Fuentes, J.; Unger, C.; Carballo, R.; Babusiaux, C.; Carnerero, M. I.; Carrasco, J. M.; Diakite, S.; Cioni, M. R. L.; Altmann, M.; Chaoul, L.; Gavras, P.; Cantat Gaudin, T.; Comoretto, G.; Giuffrida, G.; Cornez, T.; Vicente, D.; Nicolas, C.; Granvik, M.; Andrae, R.; Antoja, T.; Chiavassa, A.; Vecchiato, A.; Sartoretti, P.; Souchay, J.; Semeux, D.; Bernet, M.; De Ridder, J.; De Souza, R.; Caffau, E.; De Torres, A.; Cooper, W. J.; Roegiers, T.; Guy, L. P.; Cánovas, H.; Crowley, C.; Lebreton, Y.; Prusti, T.; Del Peloso, E. F.; Thévenin, F.; Tonello, N.; Crifo, F.; Del Pozo, E.; Ordénovic, C.; Damerdji, Y.; Gosset, E.; Guerra, R.; Fernique, P.; Peñalosa Esteller, X.; González Vidal, J. J.; Fouron, C.; Lister, T. A.; Fedorets, G.; Franke, F.; Lammers, U.; Haigron, R.; Marchant, J. M.; Van Leeuwen, M.; Butkevich, A. G.; Rimoldini, L.; Wyrzykowski, L.; Lasne, Y.; Gilmore, G.; Fabrizio, M.; Gai, M.; Bianchi, L.; Janßen, Katja; Mignard, F.; Portell, J.; Fouesneau, M.; Garabato, D.; Gómez, A.; Rybicki, K. A.; Smith, M.; Alves, J.; Creevey, O. L.; Cellino, A.; Holland, G.; Löffler, W.; Jasniewicz, G.; Lobel, A.; Hernández, J.; Bartolomé, S.; Karbevska, L.; Molina, D.; Hobbs, D.; Kochoska, A.; Morel, T.; Kordopatis, G.; Anderson, R. I.; Murphy, C. P.; Bassilana, J. L.; Esquej, P.; Khanna, S.; Delchambre, L.; Riello, M.; Roux, W.; Jean Antonie Piccolo, A.; García Torres, M.; Leccia, S.; Hidalgo, S. L.; Lecoeur Taibi, I.; Kontizas, M.; David, P.; Noval, L.; Hladczuk, N.; Kruszynska, K.; Raiteri, C. M.; Krone Martins, A.; Barache, C.; Brugaletta, E.; Korn, A. J.; Licata, E.; Solitro, F.; Bombrun, A.; Brucciarelli, B.; Aguado, J. J.; Martín Polo, L.; Bailer Jones, C. A. L.; Masip, A.; Riva, A.; Marshall, D. J.; Mazeh, T.; Osborne, Paul; Burlacu, A.; Rowell, N.; De Teodoro, P.; Hauser, M.; Dapergolas, A.; Racero, E.; Montegriffo, P.; Marinoni, S.; Messina, S.; Eyer, L.; Carlucci, T.; Pauwels, T.; Barros, M.; Accart, S.; Michalik, D.; Zucker, S.; De March, R.; Dolding, C.; Lorca, A.; Blanco Cuaresma, S.; Palaversa, L.; De Bruijne, J. H. J.; Panahi, A.; Robichon, N.; Cancelliere, R.; Penttilä, A.; Sciacca, E.; Pagano, I.; Plachy, E.; Siddiqui, H. I.; Poggio, E.; Eappachen, D.; Smart, R. L.; Fraile, E.; Marconi, M.; Bouquillon, S.; Dafonte, C.; Baker, S. G.; Altavilla, G.; Mints, A.; Ramos, P.; Orrù, G.; Re Fiorentin, P.; Plum, G.; Le Campion, J. F.; Pagani, C.; Prsa, A.; Vaillant, M.; Casamiquela, L.; Fienga, A.; Bellazzini, M.; Poretti, E.; Reylé, C.; Panuzzo, P.; Giacobbe, P.; Di Matteo, P.; Sahlmann, J.; Rybizki, J.; Salguero, E.; Weiler, M.; Sagristà Sellés, A.; Sanna, N.; Cowell, S.; Gutierrez Sánchez, R.; Zhao, H.; Panem, C.; Lanza, A. F.; Bastian, U.; Ségransan, D.; Sadowski, G.; Santoveña, R.; Marchal, O.; Huckle, H. E.; Crosta, M.; Figueras, F.; Sarasso, M.; Harrison, D. L.; Lebzelter, T.; Managau, S.; Castro Sampol, P.; Gerlach, E.; Steele, I. A.; Lanzafame, A. C.; Stephenson, C. A.; Wevers, T.; Szabados, L.; Frémat, Y.; Spoto, F.; Tauran, G.; Masana, E.; Teixeira, R.; Mann, R. G.; Nienartowicz, K.; Mastrobuono Battisti, A.; Royer, F.; Lambert, S.; Faigler, S.; Diener, C.; Walton, N. A.; Vanel, O.; Souami, D.; Viala, Y.; Taylor, M. B.; Ragaini, S.; Spagna, A.; Cheek, N.; Jonker, P. G.; Martín Fleitas, J. M.; García Gutierrez, A.; Thuillot, W.; Voutsinas, S.; Audard, M.; Molnár, L.; Livanou, E.; Solano, Enrique; Manteiga, Minia; Forderung der wissenschaftlichen Forschung (FWF); Belgian federal Science Policy Office (BELSPO); Hertha Firnberg Programme; Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP); Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES); Comite Francais d'Evaluation de la Cooperation Universitaire et Scientifique avec le Bresil (COFECUB); National Natural Science Foundation of China (NSFC); China Scholarship Council (CSC); European Commission (EC); European Research Council (ERC); Agence Nationale de la Recherche (ANR); European Space Agency (ESA); Centre National D'Etudes Spatiales (CNES); Istituto Nazionale di Astrofisica (INAF); Ministero dell'Istruzione, dell'Università e della Ricerca (MIUR); Narodowe Centrum Nauki (NCN); Fundacao para a Ciencia e a Tecnologia (FCT); Slovenian Research Agency; Agencia Estatal de Investigación (AEI); Xunta de Galicia; Universitat de Barcelona (UB); Generalitat de Catalunya; Swedish National Space Agency (SNSA); United Kingdom Science and Technology Facilities Council (STFC); Krone Martins, A. [0000-0002-2308-6623]; Seabroke, G. [0000-0003-4072-9536]; Chiavassa, A. [0000-0003-3891-7554]; Castro Ginard, A. [0000-0002-9419-3725]; McMillan, P. [0000-0002-8861-2620]; Siltala, L. [0000-0002-6938-794X]; Delise, J. B. [0000-0001-5844-9888]; Aerts, C. [0000-0003-1822-7126]; Fedorets, G. [0000-0002-8418-4809]; Centro de Excelencia Científica Severo Ochoa, Instituto de Ciencias del Cosmos de la Universidad de Barcelona, SEV2015-0493; Unidad de Excelencia Científica María de Maeztu Centro de Astrobiología del Instituto Nacional de Técnica Aeroespacial y CSIC, MDM-2014-0369Context. 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 and quality of the newly published data by applying them to a scientific case. Aims. We use the Gaia EDR3 data to study the structure and kinematics of the Magellanic Clouds. The large distance to the Clouds is a challenge for the Gaia astrometry. The Clouds lie at the very limits of the usability of the Gaia data, which makes the Clouds an excellent case study for evaluating the quality and properties of the Gaia data. Methods. The basis of our work are two samples selected to provide a representation as clean as possible of the stars of the Large Magellanic Cloud (LMC) and the Small Magellanic Cloud (SMC). The selection used criteria based on position, parallax, and proper motions to remove foreground contamination from the Milky Way, and allowed the separation of the stars of both Clouds. From these two samples we defined a series of subsamples based on cuts in the colour-magnitude diagram; these subsamples were used to select stars in a common evolutionary phase and can also be used as approximate proxies of a selection by age. Results. We compared the Gaia Data Release 2 and Gaia EDR3 performances in the study of the Magellanic Clouds and show the clear improvements in precision and accuracy in the new release. We also show that the systematics still present in the data make the determination of the 3D geometry of the LMC a difficult endeavour; this is at the very limit of the usefulness of the Gaia EDR3 astrometry, but it may become feasible with the use of additional external data. We derive radial and tangential velocity maps and global profiles for the LMC for the several subsamples we defined. To our knowledge, this is the first time that the two planar components of the ordered and random motions are derived for multiple stellar evolutionary phases in a galactic disc outside the Milky Way, showing the differences between younger and older phases. We also analyse the spatial structure and motions in the central region, the bar, and the disc, providing new insightsinto features and kinematics. Finally, we show that the Gaia EDR3 data allows clearly resolving the Magellanic Bridge, and we trace the density and velocity flow of the stars from the SMC towards the LMC not only globally, but also separately for young and evolved populations. This allows us to confirm an evolved population in the Bridge that is slightly shift from the younger population. Additionally, we were able to study the outskirts of both Magellanic Clouds, in which we detected some well-known features and indications of new ones.Publicación Acceso Abierto J-PLUS: The Javalambre Photometric Local Universe Survey(EDP Sciences, 2019-02-21) Cenarro, A. J.; Moles, M.; Cristóbal Hornillos, D.; Marín Franch, A.; Ederoclite, A.; Varela, J.; López Sanjuan, C.; Hernández Monteagudo, C.; Angulo, R. E.; Vázquez Ramió, H.; Viironen, K.; Reis, R. R. R.; Molino, A.; Roig, F.; Vilella-Rojo, G.; Sako, M.; Sánchez Blázquez, P.; Gurung López, S.; Santos, W. A.; Telles, E.; Allende Prieto, C.; Bonatto, C.; Vilchez, J. M.; San Roman, I.; Daflon, S.; Dupke, R. A.; Greisel, N.; Jiménez Teja, Y.; Placco, V. M.; Logroño García, R.; Spinoso, D.; Maícas, N.; Izquierdo Villalba, D.; Abril, J.; Aguerri, J. A. L.; Carvano, J. M.; Bielsa de Toledo, S.; Chies Santos, A. L.; Falcón Barroso, J.; Civera, T.; Gonçalves, D. R.; Hernández Fuertes, J.; Iglesias Marzoa, R.; Whitten, D. D.; Antón, J. L.; Kruuse, K.; Lamadrid, J. L.; Bello, R.; Castillo Ramírez, J.; López Sainz, A.; Moreno Signes, A.; Chueca, S.; Díaz Martín, M. C.; Beers, T. C.; Domínguez Martínez, M.; Rueda Teruel, F.; Garzarán Calderaro, J.; Iñiguez, C.; Tilve, V.; Jiménez Ruiz, J. M.; Lasso Cabrera, N.; Alcaniz, J. S.; López Alegre, G.; Muniesa, D. J.; Lopes de Oliveira, R.; Tamm, A.; Rodríguez Llano, S.; Rueda Teruel, S.; Akras, S.; Alfaro, E. J.; Soriano Laguía, I.; Valdivielso, L.; Beasley, M. A.; Borges Fernandes, M.; Yanes Díaz, A.; Mendes de Oliveira, Claudia L.; Lyman, J. D.; Sodré, L.; Carrasco, J. M.; Coelho, P. R. T.; Xavier, H. S.; Costa Duarte, M. V.; Abramo, L. R.; Álvarez Candal, A.; Galarza, A.; Ascaso, B.; Bruzual, G.; González Serrano, J. I.; Gutiérrez Soto, L. A.; Buzzo, M. L.; Cepa, J.; Kuncarayakti, H.; Landim, R. C. G.; Cortesi, A.; De Prá, M.; Lima Neto, G. B.; Maíz Apellániz, J.; Favole, G.; Galbany, L.; Orsi, Álvaro A.; García, K.; Nogueira Cavalcante, J. P.; González Delgado, R. M.; Hernández Jiménez, J. A.; Oteo, I.; Kanaan, A.; Laur, J.; Rebassa-Mansergas, A.; Lincandro, J.; Miralda Escudé, J.; Salvador Rusiñol, N.; Sampedro, L.; Morate, D.; Novais, P. M.; Schmidtobreick, L.; Siffert, B. B.; Oncins, M.; Overzier, R. A.; Bonoli, S.; Hurier, G.; Pereira, C. B.; Díaz García, Pedro; Solano, Enrique; Gobierno de Aragón; European Commission (EC); Conselho Nacional de Desenvolvimento Científico e Tecnológico; Financiadora de Estudos e Projetos (FINEP); Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP); Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro (FAPERJ); Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES); National Science Foundation (NSF); Ministerio de Economía y Competitividad (MINECO); 0000-0002-2573-2342; Jailson Souza de Alcaniz. [https://orcid.org/0000-0003-2441-1413]; Coelho, P. R. T. [0000-0003-1846-4826]; Unidad de Excelencia Científica María de Maeztu Centro de Astrobiología del Instituto Nacional de Técnica Aeroespacial y CSIC, MDM-2017-0737The Javalambre Photometric Local Universe Survey (J-PLUS ) is an ongoing 12-band photometric optical survey, observing thousands of square degrees of the Northern Hemisphere from the dedicated JAST/T80 telescope at the Observatorio Astrofísico de Javalambre (OAJ). The T80Cam is a camera with a field of view of 2 deg2 mounted on a telescope with a diameter of 83 cm, and is equipped with a unique system of filters spanning the entire optical range (3500–10 000 Å). This filter system is a combination of broad-, medium-, and narrow-band filters, optimally designed to extract the rest-frame spectral features (the 3700–4000 Å Balmer break region, Hδ, Ca H+K, the G band, and the Mg b and Ca triplets) that are key to characterizing stellar types and delivering a low-resolution photospectrum for each pixel of the observed sky. With a typical depth of AB ∼21.25 mag per band, this filter set thus allows for an unbiased and accurate characterization of the stellar population in our Galaxy, it provides an unprecedented 2D photospectral information for all resolved galaxies in the local Universe, as well as accurate photo-z estimates (at the δ z/(1 + z)∼0.005–0.03 precision level) for moderately bright (up to r ∼ 20 mag) extragalactic sources. While some narrow-band filters are designed for the study of particular emission features ([O II]/λ3727, Hα/λ6563) up to z < 0.017, they also provide well-defined windows for the analysis of other emission lines at higher redshifts. As a result, J-PLUS has the potential to contribute to a wide range of fields in Astrophysics, both in the nearby Universe (Milky Way structure, globular clusters, 2D IFU-like studies, stellar populations of nearby and moderate-redshift galaxies, clusters of galaxies) and at high redshifts (emission-line galaxies at z ≈ 0.77, 2.2, and 4.4, quasi-stellar objects, etc.). With this paper, we release the first ∼1000 deg2 of J-PLUS data, containing about 4.3 million stars and 3.0 million galaxies at r < 21 mag. With a goal of 8500 deg2 for the total J-PLUS footprint, these numbers are expected to rise to about 35 million stars and 24 million galaxies by the end of the survey.Publicación Acceso Abierto Gaia Early Data Release 3 The Galactic anticentre(EDP Sciences, 2021-04-28) Antoja, T.; McMillan, P. J.; Kordopatis, G.; Ramos, P.; Helmi, A.; Balbinot, E.; Cantat Gaudin, T.; Chemin, L.; Figueras, F.; Jordi, C.; Khanna, S.; Riclet, F.; Seabroke, G. M.; De Ridder, J.; Lammers, U.; Boch, T.; Hauser, M.; Del Pozo, E.; Fedorets, G.; De Bruijne, J. H. J.; Tanga, P.; Rybicki, K. A.; Samaras, N.; Marchant, J. M.; Klioner, S. A.; Jordan, S.; Luri, X.; Mignard, F.; Teyssier, D.; Bellas Velidis, I.; Randich, S.; Tauron, C.; Sánchez Giménez, V.; Masip, A.; Cropper, M.; Garofalo, A.; Harrison, D. L.; Riello, M.; Drimmel, R.; Giacobbe, P.; Muinonen, K.; Franke, F.; Sozzetti, A.; De Angeli, F.; Prsa, A.; Segovia, J. C.; Palaversa, L.; Frémat, Y.; Santoveña, R.; Mulone, A. F.; Guiraud, J.; Cioni, M. R. L.; Masana, E.; Butkevich, A. G.; Mowlavi, N.; Nicolas, C.; Fraile, E.; García Torres, M.; Giuffrida, G.; Hladczuk, N.; Van Reeven, W.; Smith, M.; Brouillet, N.; Clementini, G.; Walton, N. A.; Casamiquela, L.; Gosset, E.; Guerrier, A.; Fabrizio, M.; Anderson, R. I.; Managau, S.; Krone Martins, A.; Fouesneau, M.; Faigler, S.; Busso, G.; Anglada Varela, E.; Livanou, E.; Delchambre, L.; Fouron, C.; Damerdji, Y.; Van Leeuwen, F.; Chaoul, L.; Caffau, E.; Fernández Hernández, J.; Audard, M.; Abreu Aramburu, A.; Licarta, E.; Haztdimitriou, D.; Gai, M.; Haigron, R.; Arenou, F.; Racero, E.; Halbwachs, J. L.; Poretti, E.; Heiter, U.; Hernández, J.; Barache, C.; Diener, C.; Baines, D.; Janßen, Katja; Leclerc, N.; Murphy, C. P.; Gerlach, E.; Lanzafame, A. C.; Löffler, W.; Martín Fleitas, J. M.; Martín Polo, L.; Balog, Z.; Portell, J.; Lobel, A.; Lorca, A.; De Teodoro, P.; Osborne, Paul; Pancino, E.; Barros, M.; Recio Blanco, A.; Richards, P. J.; Siopis, C.; Sahlmann, J.; Sarro, L. M.; Lasne, Y.; Blanco Cuaresma, S.; Dafonte, C.; Davidson, M.; Marshall, D. J.; Van Leeuwen, M.; Brown, A. G. A.; Messina, S.; Accart, S.; Marocco, F.; Brugaletta, E.; Steele, I. A.; Eyer, L.; Andrae, R.; Siebert, A.; Ajaj, M.; Kervella, P.; Álvarez, M. A.; Álvarez Cid Fuentes, J.; Alves, J.; Kruszynska, K.; Molina, D.; Morris, D.; Pagani, C.; De March, R.; Charlot, P.; Rimoldini, L.; González Santamaría, I.; Hutton, A.; Huckle, H. E.; Bucciarelli, B.; Aguado, J. J.; Bassilana, J. L.; Eappachen, D.; Robichon, N.; Castellani, M.; Hodgkin, S. T.; Bernet, M.; Enke, H.; Riva, A.; Bouquillon, S.; Mastrobuono Battisti, A.; Bombrun, A.; Ulla, A.; Juaristi Campillo, J.; Bagaglia, A.; Bramante, L.; Regibo, S.; Michalik, D.; Bellazzini, M.; Esquej, P.; Burlacu, A.; Robin, A. C.; Bakker, J.; Buzzi, R.; Zurbach, C.; Cancelliere, R.; Cánovas, H.; Mann, R. G.; Rambaux, N.; Carnerero, M. I.; Montegriffo, P.; Cooper, W. J.; Bastian, U.; Castro Ginard, A.; Castro Sampol, P.; Cowell, S.; Sagristà Sellés, A.; Barbato, D.; Bailer Jones, C. A. L.; Comoretto, G.; Panem, C.; Cornez, T.; Fabre, C.; Fienga, A.; Crosta, M.; Crowley, C.; Busonero, D.; De Laverny, P.; Pulone, L.; Gavras, P.; Lanza, A. F.; De Luise, F.; Sadowski, G.; Bossini, D.; Jevardat de Fombelle, G.; Delisle, J. B.; De Torres, A.; Salguero, E.; Garía Reinaldos, M.; Delgado, A.; Bartolomé, S.; Cellino, A.; Di Matteo, P.; Piersimoni, A. M.; Bressan, A.; Distefano, E.; Dolding, C.; Schultheis, M.; Siddiqui, H. I.; Spagna, A.; Romero Gómez, M.; Leccia, S.; Julbe, F.; Muñoz, D.; Evans, D. W.; Palicio, P. A.; González Vidal, J. J.; Fragkoudi, F.; Marrese, P. M.; Messineo, R.; Jasniewicz, G.; Carballo, R.; García Gutierrez, A.; Marconi, M.; Jean Antonie Piccolo, A.; Jansen, F.; Korn, A. J.; De Souza, R.; Peñalosa Esteller, X.; Gilmore, G.; Girona, S.; Marcos Santos, M. M. S.; Guerra, R.; Garabato, D.; Sanna, V.; Granvik, M.; Dapergolas, A.; Guy, L. P.; Destroffer, D.; Haywood, M.; Hidalgo, S. L.; Hilger, T.; Marinoni, S.; Hobbs, D.; Fabricius, C.; Kontizas, M.; Segol, M.; Jonker, P. G.; Rybizki, J.; Sordo, R.; Fernique, P.; Roegiers, T.; Kochoska, A.; Pauwels, T.; Molinero, R.; Kostrzewa Rutkowska, Z.; Massari, D.; Lambert, S.; Gutiérrez Sánchez, R.; Lebreton, Y.; Berthier, J.; Molnár, L.; Muraveva, T.; Lebzelter, T.; Roux, W.; Geyer, R.; Carrasco, J. M.; Liao, S.; Gracia Abril, G.; Souami, D.; Lister, T. A.; Panahi, A.; Bianchi, L.; Madrero Pardo, P.; Unger, N.; Gómez, A.; Burgess, P. W.; Benson, K.; Carry, B.; Galluccio, L.; Holl, B.; Raiteri, C. M.; Penttilä, A.; Siltala, L.; Marchal, O.; Taris, F.; Salgado, J.; Chiavassa, A.; Vallenari, A.; Soubiran, C.; Lindstrom, H. E. P.; Mints, A.; Rohrbasser, L.; Altavilla, G.; Sartoretti, P.; Plum, G.; Lecoeur Taibi, I.; Morbidelli, R.; Morel, T.; Rowell, N.; Aerts, C.; Ordénovic, C.; Altmann, M.; Mazeh, T.; García Lario, P.; Noval, L.; Biermann, M.; Orrù, G.; Osinde, J.; Royer, F.; Pagano, I.; Abbas, U.; Plachy, E.; Blomme, R.; Pawlak, M.; David, P.; Balaguer Núñez, L.; David, M.; Pineau, F. X.; Crifo, F.; Sciacca, E.; Poggio, E.; Pourbaix, D.; Pojoulet, E.; Musella, I.; Ragaini, S.; Baudesson Stella, A.; Lattanzi, M. G.; Rainer, M.; Baker, S. G.; Mor, R.; Holland, G.; Re Fiorentin, P.; Millar, N. R.; Dell´Oro, A.; Ripepi, V.; Moitinho, A.; Rixon, G.; Hambly, N. C.; Robin, C.; Roelens, M.; Bauchet, N.; Bertone, S.; Breedt, E.; Carlucci, T.; Ducourant, C.; Katz, D.; Creevey, O. L.; Mora, A.; Slezak, E.; Karbevska, L.; Castañeda, J.; Tauran, G.; Creylé, C.; Sarasso, M.; Nienartowicz, K.; Diakite, S.; Prusti, T.; Ramos Lerate, M.; Ségransan, D.; Semeux, D.; Pailler, F.; Delgado, H. E.; Solitro, F.; Barstow, M. A.; Smart, R. L.; Babusiaux, C.; Cheek, N.; Utrilla, E.; Souchay, J.; Panuzzo, P.; Spoto, F.; Del Peloso, E. F.; Vicente, D.; Becciani, U.; Teixeira, R.; Le Fustec, Y.; Le Campion, J. F.; Viala, Y.; González Núñez, J.; Weiler, M.; Zucker, S.; Thévenin, F.; Zwitter, T.; Solano, Enrique; Manteiga, Minia; Unidad de Excelencia Científica María de Maeztu Centro de Astrobiología del Instituto Nacional de Técnica Aeroespacial y CSIC, MINECO/ICTI2013-2016/MDM-2014-0369; Centrode Excelencia Científica Instituto de Ciencias del Cosmos Universidad de Barcelona, MINECO/ICTI2013-2016/SEV2015-0493; Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP); Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES); National Natural Science Foundation of China (NSFC); Estonian Ministry of Education and Research; Centre National D'Etudes Spatiales (CNES); Agence Nationale de la Recherche (ANR); Centre National de la Recherche Scientifique (CNRS); European Commission (EC); European Research Council (ERC); Institut des Sciences de l'Univers (INSU); Institut National Polytechnique (INP); Institut National de Physique nucleaire et de Physique des Particules (IN2P3); Deutsches Zentrum für Luft- und Raumfahrt (DLR); Hungarian Academy of Sciences; Hungarian National Research, Development, and Innovation Office (NKFIH); Science Foundation Ireland (SFI); Israel Science Foundation (ISF); Agenzia Spaziale Italiana (ASI); Italian Istituto Nazionale di Astrofisica (INAF); Netherlands Organisation for Scientific Research (NWO); Polish National Science Centre; Ministry of Science and Higher Education (MNiSW); Fundacao para a Ciencia e a Tecnologia (FCT); Slovenian Research Agency; Xunta de Galicia; Agencia Estatal de Investigación (AEI); Generalitat de Catalunya; United Kingdom Science and Technology Facilities Council (STFC); United Kingdom Space Agency (UKSA); Krone Martins, A. [0000-0002-2308-6623]; McMillan, P. [0000-0002-8861-2620]; Carrasco Martínez, J. P. [0000-0002-3029-5853]; Sozzetti, A. [0000-0002-7504-365X]; Centros de Excelencia Severo Ochoa, BARCELONA SUPERCOMPUTING CENTER (BSC), SEV2015-0493Aims. 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 description of several practical aspects of the data and examples of their usage. Methods. We used astrometric positions, proper motions, parallaxes, and photometry from EDR3 to select different populations and components and to calculate the distances and velocities in the direction of the anticentre. In this direction, the Gaia astrometric data alone enable the calculation of the vertical and azimuthal velocities; also, the extinction is relatively low compared to other directions in the Galactic plane. We then explore the disturbances of the current disc, the spatial and kinematical distributions of early accreted versus in situ stars, the structures in the outer parts of the disc, and the orbits of open clusters Berkeley 29 and Saurer 1. Results. With the improved astrometry and photometry of EDR3, we find that: (i) the dynamics of the Galactic disc are very complex with oscillations in the median rotation and vertical velocities as a function of radius, vertical asymmetries, and new correlations, including a bimodality with disc stars with large angular momentum moving vertically upwards from below the plane, and disc stars with slightly lower angular momentum moving preferentially downwards; (ii) we resolve the kinematic substructure (diagonal ridges) in the outer parts of the disc for the first time; (iii) the red sequence that has been associated with the proto-Galactic disc that was present at the time of the merger with Gaia-Enceladus-Sausage is currently radially concentrated up to around 14 kpc, while the blue sequence that has been associated with debris of the satellite extends beyond that; (iv) there are density structures in the outer disc, both above and below the plane, most probably related to Monoceros, the Anticentre Stream, and TriAnd, for which the Gaia data allow an exhaustive selection of candidate member stars and dynamical study; and (v) the open clusters Berkeley 29 and Saurer 1, despite being located at large distances from the Galactic centre, are on nearly circular disc-like orbits. Conclusions. Even with our simple preliminary exploration of the Gaia EDR3, we demonstrate how, once again, these data from the European Space Agency are crucial for our understanding of the different pieces of our Galaxy and their connection to its global structure and history.Publicación Acceso Abierto The miniJPAS survey: star-galaxy classification using machine learning(EDP Sciences, 2021-01-18) Baqui, P. O.; Marra, V.; Casarini, L.; Angulo, R.; Hernández Monteagudo, C.; Lopes, P. A. A.; López Sanjuan, C.; Muniesa, D. J.; Placco, V. M.; Quartin, M.; Queiroz, C.; Sobral, D.; Tempel, E.; Varela, J.; Vílchez, J. M.; Abramo, L. R.; Alcaniz, J. S.; Benítez, N.; Bonoli, S.; Carneiro, S.; Cenarro, A. J.; Cristóbal Hornillos, D.; De Amorim, A. L.; De Oliveira, C. M.; Dupke, R. A.; Ederoclite, A.; González Delgado, R. M.; Marín Franch, A.; Moles, M.; Vázquez Ramió, H.; Sodré, L.; Taylor, K.; Solano, Enrique; Díaz García, Pedro; European Commission (EC); Agencia Estatal de Investigación (AEI); Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES); Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq); Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP); Gobierno de Aragón; Ministerio de Ciencia e Innovación (MICINN); Ministerio de Economía y Competitividad (MINECO); Ministry of Education, Culture, Sports, Science and Technology (MEXT); 0000-0002-7773-1579Context. Future astrophysical surveys such as J-PAS will produce very large datasets, the so-called “big data”, which will require the deployment of accurate and efficient machine-learning (ML) methods. In this work, we analyze the miniJPAS survey, which observed about ∼1 deg2 of the AEGIS field with 56 narrow-band filters and 4 ugri broad-band filters. The miniJPAS primary catalog contains approximately 64 000 objects in the r detection band (magAB ≲ 24), with forced-photometry in all other filters. Aims. We discuss the classification of miniJPAS sources into extended (galaxies) and point-like (e.g., stars) objects, which is a step required for the subsequent scientific analyses. We aim at developing an ML classifier that is complementary to traditional tools that are based on explicit modeling. In particular, our goal is to release a value-added catalog with our best classification. Methods. In order to train and test our classifiers, we cross-matched the miniJPAS dataset with SDSS and HSC-SSP data, whose classification is trustworthy within the intervals 15 ≤ r ≤ 20 and 18.5 ≤ r ≤ 23.5, respectively. We trained and tested six different ML algorithms on the two cross-matched catalogs: K-nearest neighbors, decision trees, random forest (RF), artificial neural networks, extremely randomized trees (ERT), and an ensemble classifier. This last is a hybrid algorithm that combines artificial neural networks and RF with the J-PAS stellar and galactic loci classifier. As input for the ML algorithms we used the magnitudes from the 60 filters together with their errors, with and without the morphological parameters. We also used the mean point spread function in the r detection band for each pointing. Results. We find that the RF and ERT algorithms perform best in all scenarios. When the full magnitude range of 15 ≤ r ≤ 23.5 is analyzed, we find an area under the curve AUC = 0.957 with RF when photometric information alone is used, and AUC = 0.986 with ERT when photometric and morphological information is used together. When morphological parameters are used, the full width at half maximum is the most important feature. When photometric information is used alone, we observe that broad bands are not necessarily more important than narrow bands, and errors (the width of the distribution) are as important as the measurements (central value of the distribution). In other words, it is apparently important to fully characterize the measurement. Conclusions. ML algorithms can compete with traditional star and galaxy classifiers; they outperform the latter at fainter magnitudes (r ≳ 21). We use our best classifiers, with and without morphology, in order to produce a value-added catalog.
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