175 research outputs found
Intron splice acceptor site polymorphism in the hMSH2 gene in sporadic and familial colorectal cancer
A polymorphism in hMSH2 gene has been associated with an increased susceptibility to develop colorectal cancer (CRC). Here we show that it is a genetic risk factor for CRC in the Spanish population. However, its presence does not apparently affect hMSH2 function. © 2000 Cancer Research Campaig
Beyond the two-infall model I. Indications for a recent gas infall with Gaia DR3 chemical abundances
The recent Gaia Data Release 3 (DR3) represents an unparalleled revolution in
Galactic Archaeology, providing us with numerous radial velocities chemical
abundances for millions of stars, with all-sky coverage. We present a new
chemical evolution model for the Galactic disc components (high- and low-
sequence stars) designed to reproduce the new abundance ratios
provided by the GSP-spec module for the Gaia DR3 and also constrained by the
detailed star formation histories for both the thick and thin disc stars
inferred from previous Gaia releases. Sophisticated modeling based on previous
Gaia releases has found evidence for narrow episodes of enhanced SF inferred in
recent time. Additionally, Gaia DR3 highlighted the presence of young (massive)
low- disc stars which show evidence of a recent chemical impoverishment
in several elements. Hence, in this study, we compare Gaia DR3 chemical
abundances with the predictions of a three-infall chemical evolution model for
the high- and low- components. The proposed three-infall chemical
evolution model nicely reproduces the main features of the abundance ratio
[X/Fe] versus [M/H] (X=Mg, Si, Ca, Ti, ) of Gaia DR3 stars in different
age bins for the considered elements. Moreover, the most recent gas
infall - which started 2.7 Gyr ago - allows us to predict well the Gaia
DR3 young population which has experienced a recent chemical impoverishment.Comment: Accepted for publication in Astronomy and Astrophysics (A&A), 17
pages, 16 figure
The chemical signature of the Galactic spiral arms revealed by Gaia DR3
Taking advantage of the recent Gaia Data Release 3 (DR3), we map chemical
inhomogeneities in the Milky Way's disc out to a distance of 4 kpc from
the Sun, using different samples of bright giant stars. The samples are
selected using effective temperatures and surface gravities from the GSP-Spec
module, and are expected to trace stellar populations of different typical age.
The cool (old) giants exhibit a relatively smooth radial metallicity gradient
with an azimuthal dependence. Binning in Galactic azimuth , the slope
gradually varies from [M/H] dex kpc at to dex kpc at . On the
other hand, the relatively hotter (and younger) stars present remarkable
inhomogeneities, apparent as three (possibly four) metal-rich elongated
features in correspondence of the spiral arms' locations in the Galactic disc.
When projected onto Galactic radius, those features manifest themselves as
statistically significant bumps on top of the observed radial metallicity
gradients with amplitudes up to dex, making the assumption of
a linear radial decrease not applicable to this sample. The strong correlation
between the spiral structure of the Galaxy and the observed chemical pattern in
the young sample indicates that the spiral arms might be at the origin for the
detected chemical inhomogeneities. In this scenario, the spiral arms would
leave in the younger stars a strong signature, which progressively disappears
when cooler (and older) giants are considered.Comment: 9 pages, 6 figures. Accepted for publication in A&A Letter
The cerium content of the Milky Way as revealed by Gaia DR3 GSP-Spec abundances
[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 of individual chemical abundances and allows us to chemically map the Milky Way. The published GSP-Spec abundances include three heavy elements produced by neutron-captures in stellar interiors: Ce, Zr, and Nd. Aims. We study the Galactic content in cerium based on these Gaia/RVS data and discuss the chemical evolution of this element. Methods. We used a sample of about 30 000 local thermal equilibrium Ce abundances, selected after applying different combinations of GSP-Spec flags. Based on the Gaia DR3 astrometric data and radial velocities, we explore the cerium content in the Milky Way and, in particular, in its halo and disc components. Results. The high quality of the Ce GSP-Spec abundances is quantified through literature comparisons. We found a rather flat [Ce/Fe] versus [M/H] trend. We also found a flat radial gradient in the disc derived from field stars and, independently, from about 50 open clusters. This agrees with previous studies. The [Ce/Fe] vertical gradient was also estimated. We also report an increasing [Ce/Ca] versus [Ca/H] in the disc, illustrating the late contribution of asymptotic giant branch stars with respect to supernovae of type II. Our cerium abundances in the disc, including the young massive population, are well reproduced by a new three-infall chemical evolution model. In the halo population, the M 4 globular cluster is found to be enriched in cerium. Moreover, 11 stars with cerium abundances belonging to the Thamnos, Helmi Stream, and Gaia-Sausage-Enceladus accreted systems were identified from chemo-dynamical diagnostics. We found that the Helmi Stream might be slightly underabundant in cerium compared to the two other systems. Conclusions. This work illustrates the high quality of the GSP-Spec chemical abundances, which significantly contribute to unveiling the heavy-element evolution history of the Milky Way.We thank the referee for their valuable comments. ES received funding from the European Unionâs Horizon 2020 research and innovation program under SPACE-H2020 grant agreement number 101004214 (EXPLORE project). ARB also acknowledges support from this Horizon program. PAP and EP thanks the Centre National dâEtudes Spatiales (CNES) for funding support. VG acknowledges support from the European Research Council Consolidator Grant funding scheme (project ASTEROCHRONOMETRY, G.A. n. 772293, http://www.asterochronometry.eu ). Special thanks to Niels Nieuwmunster and Botebar for grateful comments on figures. This work has made use of data from the European Space Agency (ESA) mission Gaia ( https://www.cosmos.esa.int/gaia ), processed by the Gaia Data Processing and Analysis Consortium (DPAC, https://www.cosmos.esa.int/web/gaia/dpac/consortium ). Funding for the DPAC has been provided by national institutions, in particular the institutions participating in the Gaia Multilateral Agreement
The cerium content of the Milky Way as revealed by Gaia DR3 GSP-Spec abundances
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 lead to the estimation of millions of individual
chemical abundances and allows us to chemically map the Milky Way. Among the
published GSP-Spec abundances, three heavy-elements produced by
neutron-captures in stellar interiors can be found: Ce, Zr and Nd. We use a
sample of about 30,000 LTE Ce abundances, selected after applying different
combinations of GSP-Spec flags. Thanks to the Gaia DR3 astrometric data and
radial velocities, we explore the cerium content in the Milky Way and, in
particular, in its halo and disc components. The high quality of the Ce
GSP-Spec abundances is quantified thanks to literature comparisons. We found a
rather flat [Ce/Fe] versus [M/H] trend. We also found a flat radial gradient in
the disc derived from field stars and, independently, from about 50 open
clusters, in agreement with previous studies. The [Ce/Fe] vertical gradient has
also been estimated. We also report an increasing [Ce/Ca] vs [Ca/H] in the
disc, illustrating the late contribution of AGB with respect to SN II. Our
cerium abundances in the disc, including the young massive population, are well
reproduced by a new three-infall chemical evolution model. Among the halo
population, the M 4 globular cluster is found to be enriched in cerium.
Moreover, eleven stars with cerium abundances belonging to the Thamnos, Helmi
Stream and Gaia-Sausage-Enceladus accreted systems were identified from
chemo-dynamical diagnostics. We found that the Helmi Stream could be slightly
underabundant in cerium, compared to the two other systems. This work
illustrates the high quality of the GSP-Spec chemical abundances, that
significantly contributes to unveil the heavy elements evolution history of the
Milky Way.Comment: 15 pages, 10 figures, submitted to A&
Anti-PF4 immunothrombosis without proximate heparin or adenovirus vector vaccine exposure.
Platelet-activating anti-platelet factor 4 (PF4)/heparin antibodies and anti-PF4 antibodies cause heparin-induced thrombocytopenia (HIT) and vaccine-induced immune thrombocytopenia and thrombosis (VITT), respectively. Diagnostic and treatment considerations differ somewhat between HIT and VITT. We identified patients with thrombocytopenia and thrombosis without proximate heparin exposure or adenovirus-based vaccination who tested strongly positive by PF4/polyanion enzyme-immunoassays and negative/weakly positive by heparin-induced platelet activation (HIPA) test but strongly positive by PF4-induced platelet activation (PIPA) test (ie, VITT-like profile). We tested these patients by a standard chemiluminescence assay that detects anti-PF4/heparin antibodies found in HIT (HemosIL AcuStar HIT-IgG(PF4-H)) as well as a novel chemiluminescence assay for anti-PF4 antibodies found in VITT. Representative control sera included an exploratory anti-PF4 antibody-positive but HIPA-negative/weak cohort obtained before 2020 (n = 188). We identified 9 patients with a clinical-pathological profile of a VITT-like disorder in the absence of proximate heparin or vaccination, with a high frequency of stroke (arterial, n = 3; cerebral venous sinus thrombosis, n = 4), thrombocytopenia (median platelet count nadir, 49 Ă 109/L), and hypercoagulability (greatly elevated D-dimer levels). VITT-like serological features included strong reactivity by PIPA (aggregation <10 minutes in 9/9 sera) and positive testing in the novel anti-PF4 chemiluminescence assay (3/9 also tested positive in the anti-PF4/heparin chemiluminescence assay). Our exploratory cohort identified 13 additional patient sera obtained before 2020 with VITT-like anti-PF4 antibodies. Platelet-activating VITT-like anti-PF4 antibodies should be considered in patients with thrombocytopenia, thrombosis, and very high D-dimer levels, even without a proximate exposure to heparin or adenovirus vector vaccines
Solid confirmation of the broad DIB around 864.8 nm using stacked GaiaâRVS spectra
Context. Studies of the correlation between different diffuse interstellar bands (DIBs) are important for exploring their origins. However, the GaiaâRVS spectral window between 846 and 870 nm contains few DIBs, the strong DIB at 862 nm being the only convincingly confirmed one. /
Aims. Here we attempt to confirm the existence of a broad DIB around 864.8 nm and estimate its characteristics using the stacked GaiaâRVS spectra of a large number of stars. We study the correlations between the two DIBs at 862 nm (λ862) and 864.8 nm (λ864.8), as well as the interstellar extinction. /
Methods. We obtained spectra of the interstellar medium (ISM) absorption by subtracting the stellar components using templates constructed from real spectra at high Galactic latitudes with low extinctions. We then stacked the ISM spectra in Galactic coordinates (â,ââb) â pixelized by the HEALPix scheme â to measure the DIBs. The stacked spectrum is modeled by the profiles of the two DIBs, Gaussian for λ862 and Lorentzian for λ864.8, and a linear continuum. We report the fitted central depth (CD), central wavelength, equivalent width (EW), and their uncertainties for the two DIBs. /
Results. We obtain 8458 stacked spectra in total, of which 1103 (13%) have reliable fitting results after applying numerous conservative filters. This work is the first of its kind to fit and measure λ862 and λ864.8 simultaneously in cool-star spectra. Based on these measurements, we find that the EWs and CDs of λ862 and λ864.8 are well correlated with each other, with Pearson coefficients (rp) of 0.78 and 0.87, respectively. The full width at half maximum (FWHM) of λ864.8 is estimated as 1.62â
屉
0.33 nm which compares to 0.55â
屉
0.06 nm for λ862. We also measure the vacuum rest-frame wavelength of λ864.8 to be λ0â=â864.53â
屉
0.14 nm, smaller than previous estimates. /
Conclusions. We find solid confirmation of the existence of the DIB around 864.8 nm based on an exploration of its correlation with λ862 and estimation of its FWHM. The DIB λ864.8 is very broad and shallow. That at λ862 correlates better with E(BPâ
ââ
RP) than λ864.8. The profiles of the two DIBs could strongly overlap with each other, which contributes to the skew of the λ862 profile
Geometry of the Draco C1 Symbiotic Binary
Draco C1 is a known symbiotic binary star system composed of a carbon red
giant and a hot, compact companion -- likely a white dwarf -- belonging to the
Draco dwarf spheroidal galaxy. From near-infrared spectroscopic observations
taken by the Apache Point Observatory Galactic Evolution Experiment (APOGEE-2),
part of Sloan Digital Sky Survey IV, we provide updated stellar parameters for
the cool, giant component, and constrain the temperature and mass of the hot,
compact companion. Prior measurements of the periodicity of the system, based
on only a few epochs of radial velocity data or relatively short baseline
photometric observations, were sufficient only to place lower limits on the
orbital period ( days). For the first time, we report precise orbital
parameters for the binary system: With 43 radial velocity measurements from
APOGEE spanning an observational baseline of more than 3 years, we definitively
derive the period of the system to be days. Based on the
newly derived orbital period and separation of the system, together with
estimates of the radius of the red giant star, we find that the hot companion
must be accreting matter from the dense wind of its evolved companion.Comment: 8 pages, 4 figures, 1 table. Accepted for publication in ApJ
Gaia Data Release 3: astrophysical parameters inference system (Apsis). I. Methods and content overview
Gaia Data Release 3 contains a wealth of new data products for the community. Astrophysical parameters are a major component of this release, and were produced by the Astrophysical parameters inference system (Apsis) within the Gaia Data Processing and Analysis Consortium (DPAC). The aim of this paper is to describe the overall content of the astrophysical parameters in Gaia DR3 and how they were produced. In Apsis, we use the mean BP/RP and mean RVS spectra along with astrometry and photometry, and we derive the following parameters: source classification and probabilities for 1.6 billion objects; interstellar medium characterisation and distances for up to 470 million sources, including a 2D total Galactic extinction map; 6 million redshifts of quasar candidates; 1.4 million redshifts of galaxy candidates; and an analysis of 50 million outlier sources through an unsupervised classification. The astrophysical parameters also include many stellar spectroscopic and evolutionary parameters for up to 470 million sources. These comprise Teff, log g, and [M/H] (470 million using BP/RP, 6 million using RVS), radius (470 million), mass (140 million), age (120 million), chemical abundances (up to 5 million), diffuse interstellar band analysis (0.5 million), activity indices (2 million), Hα equivalent widths (200 million), and further classification of spectral types (220 million) and emission-line stars (50 000). This paper is the first in a series of three papers, and focusses on describing the global content of the parameters in Gaia DR3. The accompanying Papers II and III focus on the validation and use of the stellar and non-stellar products, respectively. This catalogue is the most extensive homogeneous database of astrophysical parameters to date, and is based uniquely on Gaia data. It will only be superseded by Gaia Data Release 4, and will therefore remain a key reference over the next four years, providing astrophysical parameters independent of other ground- and space-based data.The Gaia mission and data processing have financially been supported by, in alphabetical order by country:
â the Algerian Centre de Recherche en Astronomie, Astrophysique et GĂ©ophysique of Bouzareah Observatory;
â the Austrian Fonds zur Förderung der wissenschaftlichen Forschung (FWF) Hertha Firnberg Programme through grants T359, P20046, and P23737;
â the BELgian federal Science Policy Office (BELSPO) through various PROgramme de DĂ©veloppement dâExpĂ©riences scientifiques (PRODEX) grants, the Research Foundation Flanders (Fonds Wetenschappelijk Onderzoek) through grant VS.091.16N, the Fonds de la Recherche Scientifique (FNRS), and the Research Council of Katholieke Universiteit (KU) Leuven through grant C16/18/005 (Pushing AsteRoseismology to the next level with TESS, GaiA, and the Sloan DIgital Sky SurvEy â PARADISE);
â the Brazil-France exchange programmes Fundação de Amparo Ă Pesquisa do Estado de SĂŁo Paulo (FAPESP) and Coordenação de Aperfeicoamento de Pessoal de NĂvel Superior (CAPES) - ComitĂ© Français dâEvaluation de la CoopĂ©ration Universitaire et Scientifique avec le BrĂ©sil (COFECUB);
â the Chilean Agencia Nacional de InvestigaciĂłn y Desarrollo (ANID) through Fondo Nacional de Desarrollo CientĂfico y TecnolĂłgico (FONDECYT) Regular Project 1210992 (L. Chemin);
â the National Natural Science Foundation of China (NSFC) through grants 11573054, 11703065, and 12173069, the China Scholarship Council through grant 201806040200, and the Natural Science Foundation of Shanghai through grant 21ZR1474100;
â the Tenure Track Pilot Programme of the Croatian Science Foundation and the Ăcole Polytechnique FĂ©dĂ©rale de Lausanne and the project TTP-2018-07-1171 âMining the Variable Skyâ, with the funds of the Croatian-Swiss Research Programme;
â the Czech-Republic Ministry of Education, Youth, and Sports through grant LG 15010 and INTER-EXCELLENCE grant LTAUSA18093, and the Czech Space Office through ESA PECS contract 98058;
â the Danish Ministry of Science;
â the Estonian Ministry of Education and Research through grant IUT40-1;
â the European Commissionâs Sixth Framework Programme through the European Leadership in Space Astrometry (ELSA) Marie Curie Research Training Network (MRTN-CT-2006-033481), through Marie Curie project PIOF-GA-2009-255267 (Space AsteroSeismology & RR Lyrae stars, SAS-RRL), and through a Marie Curie Transfer-of-Knowledge (ToK) fellowship (MTKD-CT-2004-014188); the European Commissionâs Seventh Framework Programme through grant FP7-606740 (FP7-SPACE-2013-1) for the Gaia European Network for Improved data User Services (GENIUS) and through grant 264895 for the Gaia Research for European Astronomy Training (GREAT-ITN) network;
â the European Cooperation in Science and Technology (COST) through COST Action CA18104 âRevealing the Milky Way with Gaia(MW-Gaia)â;
â the European Research Council (ERC) through grants 320360, 647208, and 834148 and through the European Unionâs Horizon 2020 research and innovation and excellent science programmes through Marie SkĆodowska-Curie grant 745617 (Our Galaxy at full HD â Gal-HD) and 895174 (The build-up and fate of self-gravitating systems in the Universe) as well as grants 687378 (Small Bodies: Near and Far), 682115 (Using the Magellanic Clouds to Understand the Interaction of Galaxies), 695099 (A sub-percent distance scale from binaries and Cepheids â CepBin), 716155 (Structured ACCREtion Disks â SACCRED), 951549 (Sub-percent calibration of the extragalactic distance scale in the era of big surveys â UniverScale), and 101004214 (Innovative Scientific Data Exploration and Exploitation Applications for Space Sciences â EXPLORE);
â the European Science Foundation (ESF), in the framework of the Gaia Research for European Astronomy Training Research Network Programme (GREAT-ESF);
â the European Space Agency (ESA) in the framework of the Gaia project, through the Plan for European Cooperating States (PECS) programme through contracts C98090 and 4000106398/12/NL/KML for Hungary, through contract 4000115263/15/NL/IB for Germany, and through PROgramme de DĂ©veloppement dâExpĂ©riences scientifiques (PRODEX) grant 4000127986 for Slovenia;
â the Academy of Finland through grants 299543, 307157, 325805, 328654, 336546, and 345115 and the Magnus Ehrnrooth Foundation;
â the French Centre National dâĂtudes Spatiales (CNES), the Agence Nationale de la Recherche (ANR) through grant ANR-10-IDEX-0001-02 for the âInvestissements dâavenirâ programme, through grant ANR-15-CE31-0007 for project âModelling the Milky Way in the Gaiaeraâ (MOD4Gaia), through grant ANR-14-CE33-0014-01 for project âThe Milky Way disc formation in the Gaiaeraâ (ARCHEOGAL), through grant ANR-15-CE31-0012-01 for project âUnlocking the potential of Cepheids as primary distance calibratorsâ (UnlockCepheids), through grant ANR-19-CE31-0017 for project âSecular evolution of galxiesâ (SEGAL), and through grant ANR-18-CE31-0006 for project âGalactic Dark Matterâ (GaDaMa), the Centre National de la Recherche Scientifique (CNRS) and its SNO Gaiaof the Institut des Sciences de lâUnivers (INSU), its Programmes Nationaux: Cosmologie et Galaxies (PNCG), Gravitation RĂ©fĂ©rences Astronomie MĂ©trologie (PNGRAM), PlanĂ©tologie (PNP), Physique et Chimie du Milieu Interstellaire (PCMI), and Physique Stellaire (PNPS), the âAction FĂ©dĂ©ratrice Gaiaâ of the Observatoire de Paris, the RĂ©gion de Franche-ComtĂ©, the Institut National Polytechnique (INP) and the Institut National de Physique nuclĂ©aire et de Physique des Particules (IN2P3) co-funded by CNES;
â the German Aerospace Agency (Deutsches Zentrum fĂŒr Luft- und Raumfahrt e.V., DLR) through grants 50QG0501, 50QG0601, 50QG0602, 50QG0701, 50QG0901, 50QG1001, 50QG1101, 50QG1401, 50QG1402, 50QG1403, 50QG1404, 50QG1904, 50QG2101, 50QG2102, and 50QG2202, and the Centre for Information Services and High Performance Computing (ZIH) at the Technische UniversitĂ€t Dresden for generous allocations of computer time;
â the Hungarian Academy of Sciences through the LendĂŒlet Programme grants LP2014-17 and LP2018-7 and the Hungarian National Research, Development, and Innovation Office (NKFIH) through grant KKP-137523 (âSeismoLabâ);
â the Science Foundation Ireland (SFI) through a Royal Society - SFI University Research Fellowship (M. Fraser);
â the Israel Ministry of Science and Technology through grant 3-18143 and the Tel Aviv University Center for Artificial Intelligence and Data Science (TAD) through a grant;
â the Agenzia Spaziale Italiana (ASI) through contracts I/037/08/0, I/058/10/0, 2014-025-R.0, 2014-025-R.1.2015, and 2018-24-HH.0 to the Italian Istituto Nazionale di Astrofisica (INAF), contract 2014-049-R.0/1/2 to INAF for the Space Science Data Centre (SSDC, formerly known as the ASI Science Data Center, ASDC), contracts I/008/10/0, 2013/030/I.0, 2013-030-I.0.1-2015, and 2016-17-I.0 to the Aerospace Logistics Technology Engineering Company (ALTEC S.p.A.), INAF, and the Italian Ministry of Education, University, and Research (Ministero dellâIstruzione, dellâUniversitĂ e della Ricerca) through the Premiale project âMIning The Cosmos Big Data and Innovative Italian Technology for Frontier Astrophysics and Cosmologyâ (MITiC);
â the Netherlands Organisation for Scientific Research (NWO) through grant NWO-M-614.061.414, through a VICI grant (A. Helmi), and through a Spinoza prize (A. Helmi), and the Netherlands Research School for Astronomy (NOVA);
â the Polish National Science Centre through HARMONIA grant 2018/30/M/ST9/00311 and DAINA grant 2017/27/L/ST9/03221 and the Ministry of Science and Higher Education (MNiSW) through grant DIR/WK/2018/12;
â the Portuguese Fundação para a CiĂȘncia e a Tecnologia (FCT) through national funds, grants SFRH/BD/128840/2017 and PTDC/FIS-AST/30389/2017, and work contract DL 57/2016/CP1364/CT0006, the Fundo Europeu de Desenvolvimento Regional (FEDER) through grant POCI-01-0145-FEDER-030389 and its Programa Operacional Competitividade e Internacionalização (COMPETE2020) through grants UIDB/04434/2020 and UIDP/04434/2020, and the Strategic Programme UIDB/00099/2020 for the Centro de AstrofĂsica e Gravitação (CENTRA);
â the Slovenian Research Agency through grant P1-0188;
â the Spanish Ministry of Economy (MINECO/FEDER, UE), the Spanish Ministry of Science and Innovation (MICIN), the Spanish Ministry of Education, Culture, and Sports, and the Spanish Government through grants BES-2016-078499, BES-2017-083126, BES-C-2017-0085, ESP2016-80079-C2-1-R, ESP2016-80079-C2-2-R, FPU16/03827, PDC2021-121059-C22, RTI2018-095076-B-C22, and TIN2015-65316-P (âComputaciĂłn de Altas Prestaciones VIIâ), the Juan de la Cierva IncorporaciĂłn Programme (FJCI-2015-2671 and IJC2019-04862-I for F. Anders), the Severo Ochoa Centre of Excellence Programme (SEV2015-0493), and MICIN/AEI/10.13039/501100011033 (and the European Union through European Regional Development Fund âA way of making Europeâ) through grant RTI2018-095076-B-C21, the Institute of Cosmos Sciences University of Barcelona (ICCUB, Unidad de Excelencia âMarĂa de Maeztuâ) through grant CEX2019-000918-M, the University of Barcelonaâs official doctoral programme for the development of an R+D+i project through an Ajuts de Personal Investigador en FormaciĂł (APIF) grant, the Spanish Virtual Observatory through project AyA2017-84089, the Galician Regional Government, Xunta de Galicia, through grants ED431B-2021/36, ED481A-2019/155, and ED481A-2021/296, the Centro de InvestigaciĂłn en TecnologĂas de la InformaciĂłn y las Comunicaciones (CITIC), funded by the Xunta de Galicia and the European Union (European Regional Development Fund â Galicia 2014-2020 Programme), through grant ED431G-2019/01, the Red Española de SupercomputaciĂłn (RES) computer resources at MareNostrum, the Barcelona Supercomputing Centre - Centro Nacional de SupercomputaciĂłn (BSC-CNS) through activities AECT-2017-2-0002, AECT-2017-3-0006, AECT-2018-1-0017, AECT-2018-2-0013, AECT-2018-3-0011, AECT-2019-1-0010, AECT-2019-2-0014, AECT-2019-3-0003, AECT-2020-1-0004, and DATA-2020-1-0010, the Departament dâInnovaciĂł, Universitats i Empresa de la Generalitat de Catalunya through grant 2014-SGR-1051 for project âModels de ProgramaciĂł i Entorns dâExecuciĂł Parallelsâ (MPEXPAR), and Ramon y Cajal Fellowship RYC2018-025968-I funded by MICIN/AEI/10.13039/501100011033 and the European Science Foundation (âInvesting in your futureâ);
â the Swedish National Space Agency (SNSA/Rymdstyrelsen);
â the Swiss State Secretariat for Education, Research, and Innovation through the Swiss ActivitĂ©s Nationales ComplĂ©mentaires and the Swiss National Science Foundation through an Eccellenza Professorial Fellowship (award PCEFP2_194638 for R. Anderson);
â the United Kingdom Particle Physics and Astronomy Research Council (PPARC), the United Kingdom Science and Technology Facilities Council (STFC), and the United Kingdom Space Agency (UKSA) through the following grants to the University of Bristol, the University of Cambridge, the University of Edinburgh, the University of Leicester, the Mullard Space Sciences Laboratory of University College London, and the United Kingdom Rutherford Appleton Laboratory (RAL): PP/D006511/1, PP/D006546/1, PP/D006570/1, ST/I000852/1, ST/J005045/1, ST/K00056X/1, ST/K000209/1, ST/K000756/1, ST/L006561/1, ST/N000595/1, ST/N000641/1, ST/N000978/1, ST/N001117/1, ST/S000089/1, ST/S000976/1, ST/S000984/1, ST/S001123/1, ST/S001948/1, ST/S001980/1, ST/S002103/1, ST/V000969/1, ST/W002469/1, ST/W002493/1, ST/W002671/1, ST/W002809/1, and EP/V520342/1.
The GBOT programme uses observations collected at (i) the European Organisation for Astronomical Research in the Southern Hemisphere (ESO) with the VLT Survey Telescope (VST), under ESO programmes 092.B-0165, 093.B-0236, 094.B-0181, 095.B-0046, 096.B-0162, 097.B-0304, 098.B-0030, 099.B-0034, 0100.B-0131, 0101.B-0156, 0102.B-0174, and 0103.B-0165; and (ii) the Liverpool Telescope, which is operated on the island of La Palma by Liverpool John Moores University in the Spanish Observatorio del Roque de los Muchachos of the Instituto de AstrofĂsica de Canarias with financial support from the United Kingdom Science and Technology Facilities Council, and (iii) telescopes of the Las Cumbres Observatory Global Telescope Network
Ultracool dwarfs in Gaia DR3
Aims. In this work we use the Gaia DR3 set of ultracool dwarf candidates and
complement the Gaia spectrophotometry with additional photometry in order to
characterise its global properties. This includes the inference of the
distances, their locus in the Gaia colour-absolute magnitude diagram and the
(biased through selection) luminosity function in the faint end of the Main
Sequence. We study the overall changes in the Gaia RP spectra as a function of
spectral type. We study the UCDs in binary systems, attempt to identify
low-mass members of nearby young associations, star forming regions and
clusters, and analyse their variability properties. Results. We detect 57
young, kinematically homogeneous groups some of which are identified as well
known star forming regions, associations and clusters of different ages. We
find that the primary members of 880 binary systems with a UCD belong mainly to
the thin and thick disk components of the Milky Way. We identify 1109 variable
UCDs using the variability tables in the Gaia archive, 728 of which belong to
the star forming regions defined by HMAC. We define two groups of variable UCDs
with extreme bright or faint outliers. Conclusions. The set of sources
identified as UCDs in the Gaia archive contains a wealth of information that
will require focused follow-up studies and observations. It will help to
advance our understanding of the nature of the faint end of the Main Sequence
and the stellar/substellar transition.Comment: Accepted by Astronomy and Astrophysics. 29 pages, 20 figures plus 3
appendice
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