Ms. Mengxin Wang Profile

Mengxin Wang

at National Astronomical Observatories CAS

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Proceedings Article | 7 August 2014 Paper

Research on key problems for LAMOST optical fiber detection system

Mengxin Wang, Jianjun Chen, Ali Luo, Xiaoran Chen

Proceedings Volume 9151, 91514Q (2014) https://doi.org/10.1117/12.2052975

KEYWORDS: Optical fibers, Image processing, Telescopes, Control systems, CCD cameras, Data modeling, Image quality, Environmental sensing, Reflector telescopes, Spherical lenses

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The large sky area multi-object fiber spectroscopic telescope (LAMOST) is an innovative reflecting schmidt telescope, promising a very high spectrum acquiring rate of several ten-thousands of spectra per night. By using the parallel controllable fiber positioning technique, LAMOST makes reconfiguration of fibers accurately according to the positions of objects in minutes and fine adjusting the fibers. During telescope observation period, each optical fiber unit positional accuracy directly determines the quality of subsequent spectrum acqusition, yet for real-time optical fiber positional accuracy, there only exists an internal information feedback which focus on the corresponding stepper motor driving conditions, however, this available information is not comprehensive, it can not offer the actual positional information for each fiber unit. Considering the LAMOST on-site environment, a novel real-time optical fiber positional accuracy detection system which can be integrated in the existing observation and control system need to be developed to solve this problem. During the observation interval, this system can offer a comprehensive and effective information feedback about the focal optical fiber positional accuracy. Based on this feedback, the observation assistants can properly adjust the observation strategies to ensure the effectiveness and accuracy of acquired spectrum. Furthermore, this fiber positional accuracy feedback can provide prior spectral quality information to the spectral processing personnel and optimal the spectrum processing efficiency.

Proceedings Article | 13 September 2012 Paper

LAMOST fiber unit positional precision passive detection exploiting the technique of template matching

Mengxin Wang, Yongheng Zhao, Ali Luo

Proceedings Volume 8450, 84503D (2012) https://doi.org/10.1117/12.925994

KEYWORDS: Optical fibers, Telescopes, Image segmentation, Image processing, Reflector telescopes, CCD cameras, Astronomy, Observatories, Light sources and illumination, Astronomical imaging

Read Abstract +

The large sky area multi-object fiber spectroscopic telescope (LAMOST) is an innovative reflecting schmidt telescope, promising a very high spectrum acquiring rate of several ten-thousands of spectra per night. By using the parallel controllable fiber positioning technique, LAMOST makes reconfiguration of fibers accurately according to the positions of objects in minutes and fine adjusting the fibers. As a key problem, High precision positioning detection of LAMOST fiber positioning unit has always been highly regarded and some detection schemes have been proposed. Among these, active detection method, which determines the final accurate position of optical fiber end with the help of lighting the fiber, has been most widely researched, but this kind of method could not be applied in LAMOST real-time observation because it needs projecting light into fiber. A novel detection idea exploiting the technique of template matching is presented in this paper. As we know, final position of a specific fiber end can be easily inferred by its corresponding revolving angles of the central revolving axle and bias revolving axle in double revolving style, so the key point in this problem is converted to the accurate determination of these revolving angles. Template matching technique are explored to acquire the matching parameters for its real-time collected imagery, and thus determine the corresponding revolving angle of the central revolving axle and bias revolving axle respectively. Experiments results obtained with data acquired from LAMOST site are used to verify the feasibility and effectiveness of this novel method.

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