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首页> 外文期刊>The Astrophysical journal >Astrometric “Imaging” of Crowded Stellar Fields with Only Two SIM Pointings
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Astrometric “Imaging” of Crowded Stellar Fields with Only Two SIM Pointings

机译:仅有两个SIM指向的拥挤恒星场的星象图“成像”

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摘要

The Space Interferometry Mission (SIM) will observe sources in crowded fields. Source crowding can induce significant positional errors in SIM's astrometric measurements, even for targets many magnitudes brighter than all other crowding sources. Here we show that the spectral decomposition of the fringe pattern may be used to perform phase and group delay estimation for multiple field sources simultaneously. This allows disentanglement of the overlapping fringes from multiple blended sources, leading to precise astrometric measurements for each source. Effectively, this is synthesis "imaging" of point sources with just two baselines. We find that spectrally dispersed fringes enable SIM to identify and localize a limited number of field sources quite robustly, thereby reducing astrometry errors to near photon noise levels. We simulate SIM measurements of the LMC and show that (1) SIM astrometry will not be corrupted by blending and (2) extremely precise imaging of mildly crowded fields may be performed using only two orthogonal baseline orientations, allowing microarcsecond positional measurements. We lastly illustrate the method's potential with the example of astrometric microlensing, showing that SIM's mass and distance measurements of lenses will be untainted by crowding when spectrally dispersed fringes are measured.
机译:太空干涉测量任务(SIM)将在拥挤的田野中观察源头。即使对于比所有其他拥挤光源亮许多个数量级的目标,光源拥挤也会在SIM的天文测量中引起明显的位置误差。在这里,我们表明条纹图案的频谱分解可用于同时执行多个场源的相位和群延迟估计。这样可以使重叠条纹从多个混合光源中解开,从而对每个光源进行精确的天文测量。实际上,这是只有两个基准的点源的合成“成像”。我们发现,频谱分散的条纹使SIM能够非常可靠地识别和定位有限数量的场源,从而将天文测量误差降低到接近光子噪声水平。我们对LMC的SIM测量进行了模拟,结果表明(1)SIM天文测量不会因混合而损坏,并且(2)仅使用两个正交基线方向即可对轻度拥挤的场进行极精确的成像,从而实现微弧度的位置测量。我们最后以天文微透镜为例说明该方法的潜力,表明当测量光谱分散的条纹时,SIM的质量和距离测量不会因拥挤而受到污染。

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