2017
DOI: 10.1017/s1743921317005853
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New Astronomical Reduction of Old Observations (the NAROO project)

Abstract: The Gaia astrometric reference catalogue will provide star proper motions with an accuracy of one mas one century ago for stars of magnitude 14 or brighter. Our project is to re-reduced the old observations with the new catalogue allowing to have an astrometric accuracy only limited by the observational biases and not by reference stars. Then, we plan to get an accuracy of 50 mas where the old reductions were not better than 500 mas!For our purpose, we will digitize old photographic plates with a sub-micrometr… Show more

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Cited by 5 publications
(3 citation statements)
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“…The time period of this ephemeris representation is 1847/01/00.5 to 2145/01/02.0. The dynamical model is numerical integration (Lainey 2008;Arlot et al 2017). The time interval of the ephemerides was 1 minute.…”
Section: Image Processing Astrometric Reduction and Resultsmentioning
confidence: 99%
“…The time period of this ephemeris representation is 1847/01/00.5 to 2145/01/02.0. The dynamical model is numerical integration (Lainey 2008;Arlot et al 2017). The time interval of the ephemerides was 1 minute.…”
Section: Image Processing Astrometric Reduction and Resultsmentioning
confidence: 99%
“…With this catalogue, future and also past observations could be reduced with very high precision (a few tens of mas). If we reduce a few current The reduction of old photographic plates of solar system objects in the context of the Gaia mission is the topic of the NAROO 8 project (Arlot 2013). This project investigates natural satellites and asteroids (Transneptunian objects, NEA, or Main Belt asteroids) in order to refine the dynamics of these objects.…”
Section: Discussionmentioning
confidence: 99%
“…This paper represents part of this Chinese project. A similar project, named the New Astrometric Reduction of Old Observations (NAROO), was launched at the French Institut de Mécanique Céleste et des Ephémérides (IMCCE) by Arlot (2013).…”
mentioning
confidence: 99%