Search citation statements
Paper Sections
Citation Types
Year Published
Publication Types
Relationship
Authors
Journals
ESA Gaia mission is producing the more accurate source catalogue in astronomy up to now. That represents a challenge on the archiving area to make accessible this information to the astronomers in an efficient way. Also, new astronomical missions have reinforced the change on the development of archives. Archives, as simple applications to access the data are being evolving into complex data center structures where computing power services are available for users and data mining tools are integrated into the server side. In the case of astronomy science that involves the use of big catalogues, as in Gaia (or Euclid to come), the common ways to work on the data need to be changed to a new paradigm "move code close to the data", what implies that data mining functionalities are becoming a must to allow the science exploitation. To enable these capabilities, a TAP+ interface, crossmatch capabilities, full catalogue histograms, serialisation of intermediate results in cloud resources like VOSpace, etc have been implemented for the Gaia DR1, to enable the exploitation of these science resources by the community without the bottlenecks on the connection bandwidth. We present the architecture, infrastructure and tools already available in the Gaia Archive Data Release 1 (http://archives.esac.esa.int/gaia/) and we describe capabilities and infrastructure.
ESA Gaia mission is producing the more accurate source catalogue in astronomy up to now. That represents a challenge on the archiving area to make accessible this information to the astronomers in an efficient way. Also, new astronomical missions have reinforced the change on the development of archives. Archives, as simple applications to access the data are being evolving into complex data center structures where computing power services are available for users and data mining tools are integrated into the server side. In the case of astronomy science that involves the use of big catalogues, as in Gaia (or Euclid to come), the common ways to work on the data need to be changed to a new paradigm "move code close to the data", what implies that data mining functionalities are becoming a must to allow the science exploitation. To enable these capabilities, a TAP+ interface, crossmatch capabilities, full catalogue histograms, serialisation of intermediate results in cloud resources like VOSpace, etc have been implemented for the Gaia DR1, to enable the exploitation of these science resources by the community without the bottlenecks on the connection bandwidth. We present the architecture, infrastructure and tools already available in the Gaia Archive Data Release 1 (http://archives.esac.esa.int/gaia/) and we describe capabilities and infrastructure.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.