Ms. Mengxin Wang Profile

Mengxin Wang

at National Astronomical Observatories CAS

SPIE Involvement:

Author

Publications (2)

This will count as one of your downloads.

You will have access to both the presentation and article (if available).

DOWNLOAD NOW

This content is available for download via your institution's subscription. To access this item, please sign in to your personal account.

Email or Username Forgot your username?

Password Forgot your password?

Show

Keep me signed in

No SPIE account? Create an account

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

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. 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.

My Library

You currently do not have any folders to save your paper to! Create a new folder below.

Folder Name

Folder Description

View contact details

UPDATE YOUR PROFILE

Is this your profile? Update it now.

Sign into your SPIE.org account

Don’t have a profile and want one?

Create an account on SPIE.org

Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks. You are receiving this notice because your organization may not have SPIE eBooks access.*

*Shibboleth/Open Athens users─please sign in to access your institution's subscriptions.

To obtain this item, you may purchase the complete book in print or electronic format on SPIE.org.

ORGANIZATIONAL
Sign in with credentials provided by your organization.

Organizational Username

Organizational Password

Show/Hide Password

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

;

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members:

Non-members: ADD TO CART

Keywords/Phrases

Search In:

Publication Years