Canovas Hector - Gaia
Gaia was proposed in 1993 and since then, many people have been involved in the Gaia mission, whether at ESA, at industry side or at one of the institutes involved in the Gaia data processing. The Gaia Data Processing and Analysis Consortium (DPAC) is a collaboration which consists of around 450 scientists and engineers.
The list of Gaia contributors presented here should not be considered a complete representation of the entire consortium. A more complete list of Gaia contributors that were involved in the creation of the Gaia catalogues can be obtained from the author lists of the Gaia Collaboration papers (for Gaia Data Release 1 see here, for Gaia Data Release 2 see here, for Gaia Early Data Release 3 see here). A history of contributions to the Gaia mission can be found from the acknowledgements given with each data release.
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Héctor Cánovas is part of the Gaia SOC team at ESA/ESAC since January 1st, 2020, where he works as a calibration and archive support scientist. This combined position involves different duties, such as investigating the calibration of saturated sources and leading the development and implementation of several functionalities of the Gaia Archive. His job also involves manning the Gaia Helpdesk, presenting the Gaia Archive to the Scientific community, and gathering requirements from internal (DPAC, ESDC) and external users (Scientific Community).
Héctor obtained his Physics degree in La Laguna University (Tenerife, Spain) in 2007. Afterwards he moved to Utrecht (The Netherlands), where he completed his Ph.D in 2011. His thesis was focused in the application of imaging polarimetry at optical wavelengths to image protoplanetary discs, the birth-sites of planets.
In 2012 Héctor moved to Chile where he worked as a postdoctoral researcher analyzing interferometric observations acquired with ALMA and high contrast images of selected discs showing signposts of planet formation. In 2016 he moved back to Spain to work for the Universidad Autónoma de Madrid. In 2017 Héctor was awarded with a Research Fellow position at ESA/ESAC, where he studied large populations of protoplanetary discs by analyzing Gaia measurements with Machine Learning algorithms.
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