arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2401.00860cond-mat.quant-gasphysics.opticsquant-ph
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使用自动对准和自适应光学技术生成光镊

Optical tweezer generation using automated alignment and adaptive optics

Bharath Hebbe Madhusudhana, Karatzyna Krzyzanowska, Malcolm Boshier

AI总结:

提出一种基于交替最小化算法的多变量交叉对准方法,实现高数值孔径物镜和可变形反射镜的自动化对准,生成高质量光镊并校正光学像差。

摘要:

超冷原子量子技术的最新进展得益于激光的精细空间控制和衍射极限成像。实现这种精细控制的最先进光学对准精度正达到手动控制的极限。在此,我们展示了如何自动化这一过程。光学手动对准的基本技术之一是激光束的交叉对准。我们将该技术推广到多变量交叉对准。在数学上,这是凸优化中著名的交替最小化(AM)算法的变体,与Gauss-Seidel算法密切相关。因此,我们将多变量交叉对准算法称为修正AM算法。虽然手动交叉对准超过两个变量具有挑战性,但机器控制的变量可以轻松实现。我们将该算法应用于机械对准高数值孔径(NA)物镜,并表明可以产生高质量的衍射极限光镊和点扩散函数(PSF)。经过初步粗对准后,该算法约需1小时对准光学器件以产生高质量光镊。此外,我们使用相同算法优化可变形反射镜的形状以及机械变量,并表明它可用于校正光学像差,例如在产生光镊和成像点源时由玻璃厚度引起的像差。可变形反射镜的形状使用前14个非平凡Zernike多项式参数化,相应系数与机械对准变量一起优化。我们展示了Strehl比接近1的PSF和Strehl比>0.8的光镊。该算法表现出卓越的鲁棒性,能够在嘈杂环境引起的显著机械波动存在下有效运行。

英文摘要:

Recent progress in quantum technologies with ultracold atoms has been propelled by spatially fine-tuned control of lasers and diffraction-limited imaging. The state-of-the-art precision of optical alignment to achieve this fine-tuning is reaching the limits of manual control. Here, we show how to automate this process. One of the elementary techniques of manual alignment of optics is cross-walking of laser beams. Here, we generalize this technique to multi-variable cross-walking. Mathematically, this is a variant of the well-known Alternating Minimization (AM) algorithm in convex optimization and is closely related to the Gauss-Seidel algorithm. Therefore, we refer to our multi-variable cross-walking algorithm as the modified AM algorithm. While cross-walking more than two variables manually is challenging, one can do this easily for machine-controlled variables. We apply this algorithm to mechanically align high numerical aperture (NA) objectives and show that we can produce high-quality diffraction-limited tweezers and point spread functions (PSF). After a rudimentary coarse alignment, the algorithm takes about 1 hour to align the optics to produce high-quality tweezers. Moreover, we use the same algorithm to optimize the shape of a deformable mirror along with the mechanical variables and show that it can be used to correct for optical aberrations produced, for example, by glass thickness when producing tweezers and imaging point sources. The shape of the deformable mirror is parametrized using the first 14 non-trivial Zernike polynomials, and the corresponding coefficients are optimized together with the mechanical alignment variables. We show PSF with a Strehl ratio close to 1 and tweezers with a Strehl ratio >0.8. The algorithm demonstrates exceptional robustness, effectively operating in the presence of significant mechanical fluctuations induced by a noisy environment.

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