Gaia Data Release 2. Observations of solar system objects
F. SpotoP. TangaF. MignardJ. BerthierB. CarryA. CellinoA. Dell’OroDaniel HestrofferK. MuinonenT. PauwelsJM PetitPatrice DavidF. De AngeliM. DelbòB. FrézoulsL. GalluccioMikael GranvikJ. GuiraudJ. HernándezC. OrdénovicJ. PortellE. PoujouletW. ThuillotG. WalmsleyAga BrownA. VallenariT. PrustiJhj de BruijneC. BabusiauxC. A. L. Bailer-JonesM. BiermannDW EvansL. EyerF. JansenC. JordiSA KlionerU. LammersL. LindegrenX. LuriC. PanemD. PourbaixS. RandichP. SartorettiHI SiddiquiC. SoubiranF. van LeeuwenNA WaltonF. ArenouU. BastianM. CropperR. DrimmelD. KatzMG LattanziJ. BakkerC. CacciariJ. CastañedaL. ChaoulN. CheekC. FabriciusR. GuerraB. HollE. MasanaR. MessineoN. MowlavïK. NienartowiczP. PanuzzoM. RielloGM SeabrokeF. ThéveninG. Gracia-AbrilG. ComorettoM. Garcia-ReinaldosD. TeyssierM. AltmannR. AndraeM. AudardI. Bellas-VelidisK. BensonR. BlommeP. W. BurgessG. BussoG. ClementiniM. ClotetO. L. CreeveyM. DavidsonJ. De RidderL. DelchambreC. DucourantJ. Fernández-HernándezM. FouesneauY. FrématMiguel García-TorresJ. González-NúñezJ. J. González-VidalE. GossetLP GuyJ. L. HalbwachsNC HamblyDL HarrisonST HodgkinA. HuttonG. JasniewiczA. Jean-Antoine-PiccoloS. JordanAJ KornA. Krone-MartinsAC LanzafameT. LebzelterW. LoefflerM. ManteigaP. M. MarreseJM Martin-FleitasA. MoitinhoA. MoraJ. OsindeE. PancinoA. Recio–BlancoPJ RichardsL. RimoldiniAC RobinLM SarroC. SiopisM. SmithA. SozzettiM. SuevegesJ. TorraW. van ReevenU. AbbasA. Abreu AramburuS. AccartC. AertsG. AltavillaMA AlvarezR. ÁlvarezJ. AlvesRI AndersonAH AndreiE. Anglada VarelaE. AnticheT. AntojaB. ArcayT. L. AstraatmadjaN. BachSG BakerL. Balaguer-NúñezP.H.M. BalmC. BaracheCarlos BarataD. BarbatoF. BarblanP. S. BarklemD. BarradoM. BarrosM. A. BarstowS. Bartholomé MuñozJ.-L. BassilanaU. BeccianiM. BellazziniÁ. BerihueteS. BertoneL. BianchiO. BienayméS. Blanco-CuaresmaT. BochC. BoecheA. BombrunR. BorracheroD. BossiniS. BouquillonG. BourdaA. BragagliaL. BramanteMA BreddelsA. BressanN. BrouilletT. BruesemeisterE. BrugalettaB. BucciarelliAlexandru BurlacuD. BusoneroAG ButkevichR. BuzziE. CaffauR. CancelliereG. CannizzaroT. Cantat-GaudinR. CarballoT. CarlucciJM CarrascoL. CasamiquelaM. CastellaniA. Castro-GinardP. CharlotL. CheminA. ChiavassaG. CocozzaG. CostiganS. CowellF. CrifoM. CrostaC. CrowleyJ. CuypersCarlos DafonteY. DamerdjiA. DapergolasM. DavidP. de LavernyF. De LuiseR. De MarchR. de SouzaA. de TorresJ. DebosscherE. del PozoA. DelgadoHE DelgadoS. DiakitéC. DienerE. DistefanoC. DoldingP. DrazinosJ. DuránB. EdvardssonH. EnkeKimmo ErikssonP. EsquejGE BontempsC. FabreM. FabrizioS. FaiglerA. J. FalcãoMarc CasasL. FedericiG. FedoretsP. FerniqueF. FiguerasFrancesco Maria De FilippiK. FindeisenA. FontiE. FraileM. FraserM. GaiS. GalletiD. GarabatoF. García-SedanoA. GarofaloN. GarraldaA. GavelP. GavrasJ. GerssenR. GeyerP. GiacobbeG. GilmoreS. GironaG. GiuffridaF. GlassM. GomesA. GuéguenA. GuerrierR. Gutiérrez–SánchezR. HaigronD. HatzidimitriouM. HäuserM. HaywoodU. HeiterA. HelmiJ. HeuT. HilgerD. HobbsWilfried HofmannG. HollandH. E. HuckleArkadiusz HypkiIcardiK. JanßenGJ de FombelleP. G. JonkerAL JuhaszF. JulbéA. KarampelasA. KewleyJochen KlarA. KochoskaR. KohleyK. KolenbergM. KontizasE. KontizasSE KoposovG. KordopatisZ. Kostrzewa-RutkowskaP. KoubskýS. LambertAF LanzaY. LasneJ-B LavigneY. Le FustecC. Le Poncin-LafitteY. LebretonS. LecciaN. LeclercI. Lecœur-Taı̈biH. LenhardtF. LerouxS. LiaoE. LicataHep LindstromTA ListerE. LivanouA. LobelM. LópezS. ManagauRG MannG. ManteletO. MarchalJM MarchantM. MarconiS. MarinoniG. MarschalkóDJ MarshallM. MartinoG. MartonNicolas MaryD. MassariG. MatijevičT. MazehPJ McMillanS. MessinaDaniel MichalikNR MillarD. MolinaR. MolinaroL. MolnárP. MontegriffoR. MorR. MorbidelliT. MorelD. MorrisAF MuloneT. MuravevaI. MusellaG. NelemansL. NicastroL. NovalWilliam O’MullaneD. Ordóñez-BlancoP. OsborneC. PaganiI. PaganoF. PaillerH. PalacinL. PalaversaA. PanahiM. PawlakA. M. PiersimoniF.‐X. PineauE. PlachyG. PlumE. PoggioA. PršaL. PuloneE. RaceroS. RagainiNicolas RambauxM. Ramos-LerateS. RegiboC. ReyléF. RicletRipepiA. RivaAndrew L. RivardG. RixonT. RoegiersM. RoelensM. Romero-GómezN. RowellF. RoyerL. Ruiz-DernG. SadowskiTS SellesJ. SahlmannJ. SalgadoE. SalgueroN. SannaT. Santana-RosM. SarassoH. SaviettoM. SchultheisEva SciaccaM. SegolJ. C. SegoviaD. SégransanI.-C. ShihL. SiltalaAF SilvaRL SmartK. W. SmithE. SolanoF. SolitroR. SordoS. Soria NietoJ. SouchayA. SpagnaU. StampaI. A. SteeleH. SteidelmuellerC. A. StephensonH. StoevF. F. SuessJean SurdejL. SzabadosE. Szegedi-ElekD. TapiadorF. TarisG. TauranMB TaylorR. TeixeiraD. TerrettP. TeyssandierA. TitarenkoF. Torra ClotetC. TuronA. UllaE. UtrillaS. UzziM. VaillantG. ValentiniValetteA. van ElterenE. Van HemelryckM. van LeeuwenM. VaschettoAlberto VecchiatoJ. VeljanoskiY. VialaD. VicenteSteven S. VogtC. von EssenH. VossVotrubaS. VoutsinasM. WeilerO. WertzT. WeversŁ. WyrzykowskiA. YoldasM. ŽerjalH. ZiaeepourJ. ZorecS. ZschockeS. ZuckerC. ZurbachT. Zwitter
50
Citation
36
Reference
20
Related Paper
Citation Trend
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 of a selected sample of 14,099 SSOs. These asteroids have been already identified and have been numbered by the Minor Planet Center repository. Positions are provided for each Gaia observation at CCD level. As additional information, complementary to astrometry, the apparent brightness of SSOs in the unfiltered G band is also provided for selected observations.Aims. We explain the processing of SSO data, and describe the criteria we used to select the sample published in Gaia DR2. We then explore the data set to assess its quality.Methods. To exploit the main data product for the solar system in Gaia DR2, which is the epoch astrometry of asteroids, it is necessary to take into account the unusual properties of the uncertainty, as the position information is nearly one-dimensional. When this aspect is handled appropriately, an orbit fit can be obtained with post-fit residuals that are overall consistent with the a-priori error model that was used to define individual values of the astrometric uncertainty. The role of both random and systematic errors is described. The distribution of residuals allowed us to identify possible contaminants in the data set (such as stars). Photometry in the G band was compared to computed values from reference asteroid shapes and to the flux registered at the corresponding epochs by the red and blue photometers (RP and BP).Results. The overall astrometric performance is close to the expectations, with an optimal range of brightness G ~ 12 − 17. In this range, the typical transit-level accuracy is well below 1 mas. For fainter asteroids, the growing photon noise deteriorates the performance. Asteroids brighter than G ~ 12 are affected by a lower performance of the processing of their signals. The dramatic improvement brought by Gaia DR2 astrometry of SSOs is demonstrated by comparisons to the archive data and by preliminary tests on the detection of subtle non-gravitational effects.Keywords:
Astrometry
Minor planet
Cite
Citations (764)
Rotation period
Cite
Citations (399)
Disk-integrated photometric data of asteroids do not contain accurate information on shape details or size scale. Additional data such as disk-resolved images or stellar occultation measurements further constrain asteroid shapes and allow size estimates. We aim to use all available disk-resolved images of about forty asteroids obtained by the Near-InfraRed Camera (Nirc2) mounted on the W.M. Keck II telescope together with the disk-integrated photometry and stellar occultation measurements to determine their volumes. We can then use the volume, in combination with the known mass, to derive the bulk density. We download and process all asteroid disk-resolved images obtained by the Nirc2 that are available in the Keck Observatory Archive (KOA). We combine optical disk-integrated data and stellar occultation profiles with the disk-resolved images and use the All-Data Asteroid Modeling (ADAM) algorithm for the shape and size modeling. Our approach provides constraints on the expected uncertainty in the volume and size as well. We present shape models and volume for 41 asteroids. For 35 asteroids, the knowledge of their mass estimates from the literature allowed us to derive their bulk densities. We clearly see a trend of lower bulk densities for primitive objects (C-complex) than for S-complex asteroids. The range of densities in the X-complex is large, suggesting various compositions. Moreover, we identified a few objects with rather peculiar bulk densities, which is likely a hint of their poor mass estimates. Asteroid masses determined from the Gaia astrometric observations should further refine most of the density estimates.
Occultation
Cite
Citations (74)
Matplotlib is a 2D graphics package used for Python for application development, interactive scripting,and publication-quality image generation across user interfaces and operating systems
Cite
Citations (29,927)
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 21. In addition epoch astrometry and photometry are provided for a modest sample of minor planets in the solar system. Aims. A summary of the contents of Gaia DR2 is presented, accompanied by a discussion on the differences with respect to Gaia DR1 and an overview of the main limitations which are still present in the survey. Recommendations are made on the responsible use of Gaia DR2 results. Methods. The raw data collected with the Gaia instruments during the first 22 months of the mission have been processed by the Gaia Data Processing and Analysis Consortium (DPAC) and turned into this second data release, which represents a major advance with respect to Gaia DR1 in terms of completeness, performance, and richness of the data products. Results. Gaia DR2 contains celestial positions and the apparent brightness in G for approximately 1.7 billion sources. For 1.3 billion of those sources, parallaxes and proper motions are in addition available. The sample of sources for which variability information is provided is expanded to 0.5 million stars. This data release contains four new elements: broad-band colour information in the form of the apparent brightness in the G BP (330–680 nm) and G RP (630–1050 nm) bands is available for 1.4 billion sources; median radial velocities for some 7 million sources are presented; for between 77 and 161 million sources estimates are provided of the stellar effective temperature, extinction, reddening, and radius and luminosity; and for a pre-selected list of 14 000 minor planets in the solar system epoch astrometry and photometry are presented. Finally, Gaia DR2 also represents a new materialisation of the celestial reference frame in the optical, the Gaia -CRF2, which is the first optical reference frame based solely on extragalactic sources. There are notable changes in the photometric system and the catalogue source list with respect to Gaia DR1, and we stress the need to consider the two data releases as independent. Conclusions. Gaia DR2 represents a major achievement for the Gaia mission, delivering on the long standing promise to provide parallaxes and proper motions for over 1 billion stars, and representing a first step in the availability of complementary radial velocity and source astrophysical information for a sample of stars in the Gaia survey which covers a very substantial fraction of the volume of our galaxy.
Astrometry
Cite
Citations (7,531)
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 changed to a direct-imaging approach. Both the spacecraft and the payload were built by European industry. The involvement of the scientific community focusses on data processing for which the international Gaia Data Processing and Analysis Consortium (DPAC) was selected in 2007. Gaia was launched on 19 December 2013 and arrived at its operating point, the second Lagrange point of the Sun-Earth-Moon system, a few weeks later. The commissioning of the spacecraft and payload was completed on 19 July 2014. The nominal five-year mission started with four weeks of special, ecliptic-pole scanning and subsequently transferred into full-sky scanning mode. We recall the scientific goals of Gaia and give a description of the as-built spacecraft that is currently (mid-2016) being operated to achieve these goals. We pay special attention to the payload module, the performance of which is closely related to the scientific performance of the mission. We provide a summary of the commissioning activities and findings, followed by a description of the routine operational mode. We summarise scientific performance estimates on the basis of in-orbit operations. Several intermediate Gaia data releases are planned and the data can be retrieved from the Gaia Archive, which is available through the Gaia home page.
Cite
Citations (5,639)
Astrometry
Ephemeris
Guide star
Position (finance)
Orbit (dynamics)
Proper motion
Orbit Determination
Systematic error
Cite
Citations (80)
Albedo (alchemy)
Photometric Stereo
Cite
Citations (320)
Near-Earth object
Cite
Citations (185)
Albedo (alchemy)
Minor planet
Cite
Citations (465)