Gaia next frontier in Astronomy Jose Hernandez Gaia
- Slides: 21
Gaia, next frontier in Astronomy Jose Hernandez Gaia Data and Calibration Engineer European Space Astronomy Centre (ESAC) Madrid, Spain
Big Data in The Scientific World • IT has evolved at an impressive rate over the last decades • In parallel and partly driven by the above the IT resources needed have grown at a similar pace • When Gaia was being designed it was not clear if the IT could cope with the Data Processing needs…
Thinking in Big Terms • Astronomy Data growing at an incredible rate also: – More and better instruments – In Space missions more bandwith, on-board storage – Better IT to do the data Processing and Analysis • Lots of Data waiting out there: There are more Stars in the Universe than grains of sand in all the Beaches on Earth together: – – Our Galaxy: 100. 000 Stars Universe: 100. 000 Galaxies 1022 Stars: Would need 1 yottabyte to store the positions Yet there are molecules in a glass of water…
• Gaia is the next Astrometry mission of the European Space Agency • Will be launched towards the end of 2013 • Main Objectives: – Build a 3 D map of the Galaxy – History and evolution of the Milky Way – Stellar Astrophysics – Multiple systems, exoplanets – Solar System Asteroids – General Relativity
Vault of Heaven
• We have stereoscopic vision, each eye perceives a flat image and our brain builds a 3 D image • This doesn't work for the stars because they are very far away • But we can compare the images taken from two opposite points of Earth's orbit
• We need to measure extremely small angles • It took a long time (1838) to know the distance to the nearest stars • ESA's Hiparccos satellite cataloged 120. 000 stars • Gaia will be a giant leap in the field: • 1000 million y 100 times more precise
• 1 Giga. Pixel camera • Will observe the stars from different directions and at different times
One Giga Pixel Camera 106 CCDs , 938 million pixels, 2800 cm 2 2 104. 26 cm 42. 35 cm Red Photometer CCDs Blue Photometer CCDs Radial Velocity Spectrometer CCDs Sky Mapper CCDs Astrometric Field CCDs Star Images Motion
• Two telescopes with a 35 m focal length • 10 Mirrors • Common focal plane • Prisms in front of the CCDs determining the colors • An spectrometer to measure the radial velocity of the brightest stars
• Not all the CCD image is read and sent to Earth • The onboard Video Processing Units read the areas containing the star images • Data is stored compressed in the memory onboard • Data is sent to Ground at night (50 GB per day)
Gaia Data Processing
• DPAC is an European Consortia in charge of the Data Processing • 440 Members • 75 European Institutions • Six Data Processing Centres: – Barcelona – Cambridge – Geneve – Madrid (ESAC) – Toulouse – Torino
• Multidisciplinary Teams: Lennart Lindegren, Lund (Sweden) Mare Nostrum, Barcelona – Astrometry experts – IT Engineers – Calibration Engineers – Mathematicians, Staticians – Coordinators – Computers, email, Skype, meetings… Java Workshop, Toulouse
Data Processing • Very complex due to the large amounts of data and the precision needed • As daily data arrives preliminary processing to verify the performance • When we have data of the whole sky we start the global Data Processing • Then the process will be iterated including more data and more centres. • By mid-mission there will be an intermmediate catalogue • Final catalogue towards 2021
After Gaia • Europe will continue to lead Astrometry • Biggest camera ever flown into Space • Reference catalogue in Astronomy for the decades to come • Astronomy will be different after Gaia • But surely the best discovery will be something that we can not imagine today.
Data Management System • On the ESA part of the processing we have two main demands: • Processing of the daily Data received from the Satellite • Global Processing of the Data accumulated (over 6 months, 1 year, 2 years, …) in an iterative manner • Need to select data using a few configurable patterns • Daily processing more stringent robustness requirements
Data Management System • For the last 10 years test using an increasing amount of data • Systems all in Java, using Beowulf clusters and Net. App storage • One of the critical issues compromising scalability is the IO • Daily Processing needs to be finished on time • Global processing needs to read many times large amounts of data (50 TB)
Data Management System • Since 2008 we have a fruitful partnership with Inter. Systems • A very good symbiosis • Developed prototypes and bring in together the Inter. Systems/Net. App/ESA experts • Work very closely with Inter. Systems engineers, fast turnaround in new features implementation, problem solving, … • Now all our systems in production have migrated to Cache
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