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Crowded-Field Astrometry with the Space Interferometry Mission - I. Estimating the Single-Measurement Astrometric Bias Arising from Confusion

机译:具有空间干涉测量任务的拥挤场天体测量 - I.   估计混淆引起的单测量天体测量偏差

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摘要

The accuracy of position measurements on stellar targets with the futureSpace Interferometry Mission (SIM) will be limited not only by photon noise andby the properties of the instrument (design, stability, etc.) and the overallmeasurement program (observing strategy, reduction methods, etc.), but also bythe presence of other "confusing" stars in the field of view (FOV). We use asimple "phasor" model as an aid to understanding the main effects of this"confusion bias" in single observations with SIM. This analytic model has beenimplemented numerically in a computer code and applied to a selection oftypical SIM target fields drawn from some of the Key Projects already acceptedfor the Mission. We expect that less than 1% of all SIM targets will bevulnerable to confusion bias; we show that for the present SIM design,confusion may be a concern if the surface density of field stars exceeds 0.4star/arcsec^2. We have developed a software tool as an aid to ascertaining thepossible presence of confusion bias in single observations of any arbitraryfield. Some a priori knowledge of the locations and spectral energydistributions of the few brightest stars in the FOV is helpful in establishingthe possible presence of confusion bias, but the information is in general notlikely to be available with sufficient accuracy to permit its removal. Wediscuss several ways of reducing the likelihood of confusion bias in crowdedfields. Finally, several limitations of the present semi-analytic approach arereviewed, and their effects on the present results are estimated. The simplemodel presented here provides a good physical understanding of how confusionarises in a single SIM observation, and has sufficient precision to establishthe likelihood of a bias in most cases.
机译:未来太空干涉测量任务(SIM)对恒星目标进行位置测量的准确性不仅会受到光子噪声,仪器特性(设计,稳定性等)和整体测量程序(观测策略,归约方法等)的限制。 ),而且视场(FOV)中还存在其他“混淆”星。我们使用asimple的“相量”模型来帮助理解SIM单次观测中这种“混淆偏差”的主要影响。该分析模型已在计算机代码中以数字方式实现,并应用于从任务已接受的一些关键项目中选出的典型SIM目标字段。我们预计,所有SIM目标中只有不到1%的人容易受到混淆偏见的困扰;我们表明,对于当前的SIM设计,如果场星的表面密度超过0.4star / arcsec ^ 2,可能会引起混乱。我们已经开发了一种软件工具,以帮助确定在任意场的单次观测中可能存在的混淆偏差。对FOV中最亮的几颗恒星的位置和光谱能量分布的一些先验知识有助于建立可能存在的混淆偏差,但是通常不太可能以足够的准确度获得该信息以允许将其去除。我们讨论了在拥挤的田野中减少混淆偏见可能性的几种方法。最后,回顾了当前半分析方法的一些局限性,并评估了它们对当前结果的影响。此处介绍的简单模型可以很好地了解单个SIM观察中的混淆情况,并且在大多数情况下具有足够的精度来确定出现偏差的可能性。

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  • 年度 2007
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