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2007PASP..119.1420S - Publ. Astron. Soc. Pac., 119, 1420-1440 (2007/December-0)

Crowded-field astrometry with SIM PlanetQuest. I. Estimating the single-measurement astrometric bias arising from confusion.

SRIDHARAN R. and ALLEN R.J.

Abstract (from CDS):

The accuracy of position measurements of stellar targets with the future Space Interferometry Mission PlanetQuest (SIM) will be limited not only by photon noise and by the properties of the instrument (design, stability, etc.) and the overall measurement program (observing strategy, reduction methods, etc.), but also by the presence of other ``confusing'' stars in the field of view (FOV). We use a simple phasor model as an aid to understanding the main effects of this confusion bias in single observations with SIM. This analytic model has been implemented numerically in computer code and applied to a selection of typical SIM target fields drawn from some of the key projects already accepted for the mission. We expect that less than 1% of all SIM targets will be vulnerable to confusion bias; we show that for the present SIM design, confusion may be a concern if the surface density of field stars exceeds. We have developed a software tool as an aid to ascertaining the possible presence of confusion bias in single observations of any arbitrary field. Some a priori knowledge of the locations and spectral energy distributions of the few brightest stars in the FOV is helpful in establishing the possible presence of confusion bias, but the information is in general not likely to be available with sufficient accuracy to permit its removal. We discuss several ways of reducing the likelihood of confusion bias in crowded fields. Finally, several limitations of the present semianalytic approach are reviewed, and their effects on the present results are estimated. The simple model presented here provides a good physical understanding of how confusion arises in a single SIM observation, and has sufficient precision to establish the likelihood of a bias in most cases. We close this paper with a list of suggestions for future work on this subject.

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Journal keyword(s): Data Analysis and Techniques

Simbad objects: 4

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