Data-volume reduction of optical vortex laser absorption spectroscopy by coarse-graining using a quadrant photodiode

Hiroki Minagawa, Shinji Yoshimura, K. Terasaka, M. Aramaki
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Abstract

We developed optical vortex laser absorption spectroscopy (OVLAS) to measure the transverse flow velocity relative to the probe beam. In our previous OVLAS setups, a camera is used in the measurement system. This approach constrained the time resolution by image data transfer time and required large computational resources due to the considerable amount of image data. In this paper, we discuss the coarse-graining of OVLAS as a method to improve time resolution and reduce computational resources achieved by replacing the camera with a quadrant photodiode (QPD). Measurement image data obtained from a camera was numerically coarse-grained to evaluate the feasibility of measurements using a QPD. Subsequently, the transverse flow velocity was measured by QPD. Measured transverse flow velocity had a mean absolute percentage error of 18%, confirming the practical validity of coarse-graining OVLAS. The data volume required to determine the flow velocity was reduced to 1/120 from the original OVLAS.
通过使用象限光电二极管进行粗粒化,减少光学漩涡激光吸收光谱的数据量
我们开发了光学涡流激光吸收光谱(OVLAS)来测量相对于探针光束的横向流速。在我们以前的 OVLAS 设置中,测量系统中使用了照相机。这种方法的时间分辨率受到图像数据传输时间的限制,并且由于图像数据量巨大,需要大量的计算资源。在本文中,我们讨论了 OVLAS 的粗粒化方法,这是一种通过用象限光电二极管(QPD)取代相机来提高时间分辨率和减少计算资源的方法。对从相机获得的测量图像数据进行了数值粗粒化处理,以评估使用 QPD 进行测量的可行性。随后,用 QPD 测量了横向流速。测量到的横向流速的平均绝对百分比误差为 18%,证实了粗粒化 OVLAS 的实用性。确定流速所需的数据量从原来的 OVLAS 减少到 1/120。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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