![]() Gaia also measures some 500,000 distant quasars, providing a connection to the reference frame currently defined in radio wavelengths. And by watching the large-scale motion of stars within the Galaxy, they probe the distribution of dark matter. Scientists also expect to discover thousands of exoplanets beyond the Solar System, tens of thousands of failed stars (brown dwarfs) and more than 20,000 exploding stars (supernovae). Gaia measures the position and velocity of more than one billion stars in the Milky Way – about 1% of the stars in the Galaxy – charts the three-dimensional distribution of these stars and determines their brightness, temperature, composition and motion through space. In so doing, it will also detect new asteroids and extragalactic sources such as quasars, find new exoplanets and even provide some tests of Einstein’s theory of general relativity.įrom the information obtained, astronomers will be able to understand much more about the structure, contents and evolution of our Galaxy, how it came into being and why it is the way it is. See the online documentation ( ).The Gaia mission will survey about one billion stars in the Milky Way Galaxy to create the largest and most accurate three-dimensional map of the Galaxy ever obtained. It is available within Gaia EDR3 directly through the Gaia Archive (table "gaiaedr3.gaia_universe_model") together with GOG-20 (the Gaia Object Generator, which applies the Gaia instrument modelling and DPAC processing performance simulations on GUMS, table "gaiaedr3.gaia_source_simulation"). ![]() GUMS-20 is the 20th version of the Gaia Universe Model Snapshot, a simulation of the expected contents of the Gaia catalogue produced at the MareNostrum supercomputer. GUMS - Gaia Universe Model Snapshot / GOG - Gaia Object Generator The Field-of-View Maker is available here. The data collected by the GOSA community will be used to enhance the Gaia Solar system science.Ī story dedicated to Gaia-GOSA was published end of 2017. These inputs have been coupled by a software tool developed and run by the Gaia Data Processing and Analysis Consortium (DPAC). The asteroid prediction tool is based on the Gaia orbit and scanning law provided by the European Space Agency and the ephemerides of solar-system bodies provided by the Minor Planet Center. Based on the observing sites and the equipment characteristics defined by users, the GOSA service prepares a personalised observing plan. The Gaia Groundbased Observational Service for Asteroids (Gaia-GOSA) is a free interactive tool available at which supports observers in planning photometric observations of asteroids. Gaia-Groundbased Observational Service for Asteroids (Gaia-GOSA) A non-exhaustive list is provided on this page. Within the astronomical community, many very useful tools are available for use with Gaia data. A story describing Gaia Sky and some videos made with this tool are available here. The application can be downloaded from the ARI website the latest documentation is available here.Ī demonstration of the capabilities of Gaia sky was given at the time of data release 2. It has been developed by the Gaia group at the Astronomisches Rechen-Institut (ZAH, Universität Heidelberg). Gaia Sky is a real-time, 3D, astronomy visualisation software that runs on Windows, Linux and OS X. Questions about the tool can be directed to the Gaia helpdesk. The forecast tool allows predictions from 26 September 2014 onwards when the final optimised scanning law will be implemented. ![]() The tool is self explanatory with the possibility to enter coordinates directly or to retrieve them using the Simbad name resolution facility. Users should note that no observation can be guaranteed as many reasons may lead to situations in which the data for an object at a predicted time will not be available. The Gaia Observation Forecast Tool is intended to aid astronomers in finding out when their targets will be observed by Gaia and when Gaia observed sources in the past. ![]() With the release of Gaia Data Release 3, a set of software tools was released as developed by the Gaia Data Processing and Analysis Consortium.
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