Abstract

(Abridged) Gaia aims to make a 3-dimensional map of 1,000 million stars in our Milky Way to unravel its kinematical, dynamical, and chemical structure and evolution. Gaia's on-board detection software discriminates stars from spurious objects like cosmic rays and Solar protons. For this, parametrised point-spread-function-shape criteria are used. This study aims to provide an optimum set of parameters for these filters. We developed an emulation of the on-board detection software, which has 20 free, so-called rejection parameters which govern the boundaries between stars on the one hand and sharp or extended events on the other hand. We evaluate the detection and rejection performance of the algorithm using catalogues of simulated single stars, double stars, cosmic rays, Solar protons, unresolved galaxies, and asteroids. We optimised the rejection parameters, improving - with respect to the functional baseline - the detection performance of single and double stars, while, at the same time, improving the rejection performance of cosmic rays and of Solar protons. We find that the minimum separation to resolve a close, equal-brightness double star is 0.23 arcsec in the along-scan and 0.70 arcsec in the across-scan direction, independent of the brightness of the primary. We find that, whereas the optimised rejection parameters have no significant impact on the detectability of de Vaucouleurs profiles, they do significantly improve the detection of exponential-disk profiles. We also find that the optimised rejection parameters provide detection gains for asteroids fainter than 20 mag and for fast-moving near-Earth objects fainter than 18 mag, albeit this gain comes at the expense of a modest detection-probability loss for bright, fast-moving near-Earth objects. The major side effect of the optimised parameters is that spurious ghosts in the wings of bright stars essentially pass unfiltered.

Affiliated Institutions

Related Publications

<i>Gaia</i>Data Release 2

Context. The Gaia spacecraft of the European Space Agency (ESA) has been securing observations of solar system objects (SSOs) since the beginning of its operations. Data Release...

2018 Astronomy and Astrophysics 97 citations

<i>Gaia</i>Data Release 1

Context. The European Space Agency spacecraft Gaia is expected to observe about 10 000 Galactic Cepheids and over 100 000 Milky Way RR Lyrae stars (a large fraction of which wil...

2016 Astronomy and Astrophysics 81 citations

<i>Gaia</i> Data Release 2

The second Gaia data release ( Gaia DR2) contains, beyond the astrometry, three-band photometry for 1.38 billion sources. One band is the G band, the other two were obtained by ...

2018 Astronomy and Astrophysics 447 citations

<i>Gaia</i> Data Release 2

Context. We present the second Gaia data release, Gaia DR2, consisting of astrometry, photometry, radial velocities, and information on astrophysical parameters and variability,...

2018 Astronomy and Astrophysics 8216 citations

<i>Gaia</i> Data Release 3

Context. We present the third data release of the European Space Agency’s Gaia mission, Gaia DR3. This release includes a large variety of new data products, notably a much expa...

2022 Astronomy and Astrophysics 2981 citations

Publication Info

Year
2015
Type
article
Volume
576
Pages
A74-A74
Citations
64
Access
Closed

External Links

Social Impact

Social media, news, blog, policy document mentions

Citation Metrics

64
OpenAlex

Cite This

J.H.J. de Bruijne, M Allen, S. Azaz et al. (2015). Detecting stars, galaxies, and asteroids with<i>Gaia</i>. Astronomy and Astrophysics , 576 , A74-A74. https://doi.org/10.1051/0004-6361/201424018

Identifiers

DOI
10.1051/0004-6361/201424018