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arXiv 2407.08026astro-ph.IM
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暗能量光谱仪光纤定位中湍流引起的误差修正

Correcting Turbulence-induced Errors in Fiber Positioning for the Dark Energy Spectroscopic Instrument

E. F. Schlafly, J. Guy, K. Honscheid, S. Kent, S. E. Koposov, J. Aguilar, S. Ahlen, S. Bailey, D. Brooks, T. Claybaugh, K. Dawson, P. Doel, K. Fanning, D. P. Fi… 展开作者

E. F. Schlafly, J. Guy, K. Honscheid, S. Kent, S. E. Koposov, J. Aguilar, S. Ahlen, S. Bailey, D. Brooks, T. Claybaugh, K. Dawson, P. Doel, K. Fanning, D. P. Finkbeiner, A. Font-Ribera, J. E. Forero-Romero, S. Gontcho A Gontcho, G. Gutierrez, D. Kirkby, T. Kisner, A. Kremin, J. Lasker, M. Landriau, L. Le Guillou, M. E. Levi, A. de la Macorra, P. Martini, A. Meisner, R. Miquel, J. Moustakas, G. Niz, F. Prada, G. Rossi, E. Sanchez, M. Schubnell, R. Sharples, D. Sprayberry, G. Tarlé, B. A. Weaver, H. Zou

AI总结:

针对暗能量光谱仪光纤定位中湍流导致的测量误差问题,利用静止定位器和湍流相关函数修正误差,将定位误差从7.3微米降至3.5微米,使巡天速度提升1.6%。

摘要:

高度复用的机器人光纤光谱巡天正在观测数千万颗恒星和星系。对许多系统而言,精确的定位依赖于对焦点平面中的光纤成像,并将信息反馈给机器人定位器以修正其位置。焦点平面与成像相机之间空气中的不均匀性和湍流会影响光纤的测量位置,限制光纤放置在目标上的精度。对于暗能量光谱仪(Dark Energy Spectroscopic Instrument),我们利用静止定位器和湍流的相关函数,显著降低了湍流对焦点平面中定位器位置测量的影响。我们将定位误差从7.3微米降低到3.5微米,在典型条件下使巡天速度提高了1.6%。

英文摘要:

Highly-multiplexed, robotic, fiber-fed spectroscopic surveys are observing tens of millions of stars and galaxies. For many systems, accurate positioning relies on imaging the fibers in the focal plane and feeding that information back to the robotic positioners to correct their positions. Inhomogeneities and turbulence in the air between the focal plane and the imaging camera can affect the measured positions of fibers, limiting the accuracy with which fibers can be placed on targets. For the Dark Energy Spectroscopic Instrument, we dramatically reduced the effect of turbulence on measurements of positioner locations in the focal plane by taking advantage of stationary positioners and the correlation function of the turbulence. We were able to reduce positioning errors from 7.3 microns to 3.5 microns, speeding the survey by 1.6% under typical conditions.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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