Abstract

Context. Since July 2014, the Gaia mission of the European Space Agency has been surveying the entire sky down to magnitude 20.7 in the visible. In addition to the millions of daily observations of stars, thousands of Solar System objects (SSOs) are observed. By comparing their positions, as measured by Gaia, to those of known objects, a daily processing pipeline filters known objects from potential discoveries. However, owing to Gaia’s specific observing mode, which follows a predetermined scanning law designed for stars as “fixed” objects on the celestial sphere, potential newly discovered moving objects are characterized by very few observations, which are acquired over a limited time. Furthermore, these objects cannot be specifically targeted by Gaia itself after their first detection. This aspect was recognized early on in the design of the Gaia data processing. Aims. A daily processing pipeline dedicated to these candidate discoveries was set up to release calls for observations to a network of ground-based telescopes. Their aim is to acquire follow-up astrometry and to characterize these objects. Methods. From the astrometry measured by Gaia, preliminary orbital solutions are determined, allowing us to predict the position of these potentially newly discovered objects in the sky while accounting for the large parallax between Gaia and the Earth (separated by 0.01 au). A specific task within the Gaia Data Processing and Analysis Consortium has been responsible for the distribution of requests for follow-up observations of potential Gaia SSO discoveries. Since late 2016, these calls for observations (nicknamed “alerts”) have been published via a Web interface with a quasi-daily frequency, together with observing guides, which is freely available to anyone worldwide. Results. Between November 2016 and the end of the first year of the extended mission (July 2020), over 1700 alerts were published, leading to the successful recovery of more than 200 objects. Among them, six have a provisional designation assigned with the Gaia observations; the others were previously known objects with poorly characterized orbits, precluding identification at the time of Gaia observations. There is a clear trend for objects with a high inclination to be unidentified, revealing a clear bias in the current census of SSOs against high-inclination populations.

Highlights

  • The main science driver of the European Space Agency (ESA) Gaia astrometric mission is the study of the structure and the dynamics of the Milky Way (Perryman et al 2001)

  • Soon after the start of Gaia’s regular operations in September 20148, the System objects (SSOs)-ST faced several issues that did not materialize in the pre-launch simulations

  • Filtering these contaminants required several cycles of tests and adaptations of the SSO-ST pipeline such that the pipeline did not become fully functional until November 2016, which was a delay of 24 months with respect to expectations

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Summary

Introduction

The main science driver of the European Space Agency (ESA) Gaia astrometric mission is the study of the structure and the dynamics of the Milky Way (Perryman et al 2001). Multiple transit observations of the same portion of the sky, with varying scanning directions, are required to measure the positions at the required microarcsecond precision This is realized through the precession of the spinning axis over 64 days, always pointing 45◦ away from the Sun. The so-called Astrometric Global Iterative Solution (AGIS) produces the astrometric model of the whole sky, corresponding to the combination of all star positions and proper motions, plus calibration parameters. Source tracking on the focal plane closely follows the rate of stars For this reason, SSOs may drift with respect to the center of the assigned windows in the AF and leave it if the apparent velocity is large enough.

The SSO-ST daily processing
The alert release interface
The Gaia-FUN-SSO ground-based network
Results
Orbital distribution
Conclusion
Institut de Mécanique Céleste et de Calcul des Éphémérides

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