Abstract
At present, most wavefront sensing methods analyze the wavefront aberration from light intensity images taken in dark environments. However, in general conditions, these methods are limited due to the interference of various external light sources. In recent years, deep learning has achieved great success in the field of computer vision, and it has been widely used in the research of image classification and data fitting. Here, we apply deep learning algorithms to the interferometric system to detect wavefront under general conditions. This method can accurately extract the wavefront phase distribution and analyze aberrations, and it is verified by experiments that this method not only has higher measurement accuracy and faster calculation speed but also has good performance in the noisy environments.
Highlights
When light is transmitted over long distances in space, it is often interfered by numerous factors to distort the wavefront
Adaptive optics technology (AO) is the most effective measure to overcome and compensate wavefront aberration [1]; it has a wide range of applications in astronomy, microscopy, radar, and other research fields
It can analyze the degree of the aberration and convert it into the control signal to the corrector to automatically compensate for the aberration, thereby improving the imaging quality of the optic systems
Summary
When light is transmitted over long distances in space, it is often interfered by numerous factors (atmospheric turbulence, humidity, etc.) to distort the wavefront. Some people applied machine learning methods in the field of optics. They used a multilayer perceptron to measure the optical phase distortion caused by air turbulence [5]. Later, this method was used in the wavefront reconstruction system of the Hubble Telescope [6]. These methods only work well under dark conditions, because any interference from external from external light sources will be recorded by the detector, which directly affects the measurement light sources will be the recorded by theof detector, which directly theInmeasurement result.network
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