Application of mean shift algorithm for dynamic-object-selection of LAMOST

Astronomy and Astrophysics – Astronomy

Scientific paper

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Telescopes, Instrumentation: High Angular Resolution, Techniques: Image Processing

Scientific paper

The large sky area multi-object fiber spectroscopic telescope (LAMOST) is one of the major nation scientific projects of China. The 4m large aperture, 5 degree field of view and 4000 fibers make LAMOST the most powerful optical spectrum survey telescope in the world. It is an important task to make good use of LAMOST, organize effective observation, improve observational efficiency and shorten observational cycle. For this sake, a new object selection algorithm named Dynamic-Object-Selection was put forward, which is based on the Priority-Policy. An important question in Dynamic-Object-Selection of LAMOST is to find a tile which has the maximum object density in the visible sky area. In this paper, Mean Shift Algorithm is applied to solve the problem. The simulations indicate that this algorithm is improving the Observation-Efficiency. At the same time, the speed of Dynamic-Object-Selection calculation is enhanced obviously.

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