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I. Serraller

Researcher at University of Barcelona

Publications -  8
Citations -  1391

I. Serraller is an academic researcher from University of Barcelona. The author has contributed to research in topics: Astrometry & Frame (networking). The author has an hindex of 5, co-authored 8 publications receiving 1300 citations.

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Gaia Data Release 1 - Astrometry: one billion positions, two million proper motions and parallaxes

Lennart Lindegren, +83 more
TL;DR: Gaia Data Release 1 (Gaia DR1) as discussed by the authors contains a large amount of data collected by the Gaia satellite during the first 14 months of its operational phase, including positions, parallaxes, and proper motions to Hipparcos-type precision or better.
Journal ArticleDOI

Gaia Data Release 1: Astrometry - one billion positions, two million proper motions and parallaxes

Lennart Lindegren, +83 more
TL;DR: Gaia Data Release 1 (Gaia DR1) as mentioned in this paper contains a large amount of data collected by the Gaia satellite during the first 14 months of its operational phase, including positions, parallaxes, and proper motions to Hipparcos-type precision or better.
Journal ArticleDOI

Gaia Data Release 1: Pre-processing and source list creation

C. Fabricius, +110 more
TL;DR: The first data release from the Gaia mission contains accurate positions and magnitudes for more than a billion sources, and proper motions and parallaxes for the majority of the 2.5 million HIPPARCOS and Tycho-2 stars as mentioned in this paper.
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Gaia Early Data Release 3: Gaia Photometric Science Alerts

Simon Hodgkin, +123 more
TL;DR: Hodgkin et al. as mentioned in this paper presented an open-access version of their paper, which is available for free under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), provided the original work is properly cited.
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Gaia photometric science alerts

S. T. Hodgkin, +110 more
TL;DR: In this article, the authors made use of data from the European Space Agency (ESA) mission, processed by the Data Processing and Analysis Consortium (DPAC), processed by national institutions, in particular the institutions participating in the \gaia\ multilateral agreement.