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Closing the Contrast Gap between Testbed and Model Prediction with WFIRST-CGI Shaped Pupil Coronagraph

机译:用WFIRST-CGI形瞳孔调节缩写试验台与模型预测的对比度

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JPL has recently passed an important milestone in its technology development for a proposed NASA WFIRST mission coronagraph: demonstration of better than 1×10~(-8) contrast over broad bandwidth (10%) on both shaped pupil coronagraph (SPC) and hybrid Lyot coronagraph (HLC) testbeds with the WFIRST obscuration pattern. Challenges remain, however, in the technology readiness for the proposed mission. One is the discrepancies between the achieved contrasts on the testbeds and their corresponding model predictions. A series of testbed diagnoses and modeling activities were planned and carried out on the SPC testbed in order to close the gap. A very useful tool we developed was a derived "measured" testbed wavefront control Jacobian matrix that could be compared with the model-predicted "control" version that was used to generate the high contrast dark hole region in the image plane. The difference between these two is an estimate of the error in the control Jacobian. When the control matrix, which includes both amplitude and phase, was modified to reproduce the error, the simulated performance closely matched the SPC testbed behavior in both contrast floor and contrast convergence speed. This is a step closer toward model validation for high contrast coronagraphs. Further Jacobian analysis and modeling provided clues to the possible sources for the mismatch: DM misregistration and testbed optical wavefront error (WFE) and the deformable mirror (DM) setting for correcting this WFE. These analyses suggested that a high contrast coronagraph has a tight tolerance in the accuracy of its control Jacobian. Modifications to both testbed control model as well as prediction model are being implemented, and future works are discussed.
机译:JPL最近通过了一个重要的里程碑,它的技术发展提出的NASA WFIRST使命日冕:示范优于1×10〜(-8)在两个形瞳孔日冕仪(SPC)和混合李奥宽的带宽(10%)的对比日冕(HLC)与WFIRST遮蔽图案测试平台。挑战依然存在,但在技术准备拟议任务。一个是在测试平台所取得的对比度和它们对应的模型预测之间的差异。一系列的测试平台诊断和建模活动的规划和开展对SPC,以缩小差距测试床。我们开发了一种非常有用的工具是一个衍生的“测量”测试台波阵面控制雅可比行列式可以与用于生成在图像平面中的高对比度暗孔区域中的模型预测“控制”的版本进行比较矩阵。这两者之间的区别是在控制雅可比的误差的估计。当控制矩阵,其中既包括振幅和相位,被修改,以重现该错误,模拟的性能密切匹配在两个对比地板和对比度的收敛速度的SPC试验平台的行为。这是更接近朝向模型验证步骤对高对比度日冕。进一步雅可比分析和建模提供的线索为失配的可能来源:DM重合失调和试验台设定用于校正此WFE光学波前误差(WFE)和可变形反射镜(DM)。这些分析表明,高对比度日冕在其控制的雅可比的精度公差。修改这两个测试平台控制模型以及预测模型正在实施,并且今后的工作进行了讨论。

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