Optimization of the ATST primary mirror support system

Cho, Myung K.; Price, Ronald S.; Moon, Ilkyeong

doi:10.1117/12.669865

Cited by 14 publications

(8 citation statements)

References 1 publication

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“…The supporting optimization is another important issue during the support design, including the composition of support ways, selection of support positions [18][19][20], the selection of support materials and so on [21][22]. Many researchers have focused on support optimization for the large-scale mirrors.…”

Section: Supporting Optimization Methodsmentioning

confidence: 99%

An overview of radial supporting ways for large-size movement mirror: a case study of a large-aperture rotating prism

Wang

Ding

et al. 2012

SPIE Proceedings

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The paper overviews various supporting ways for large-size movement mirrors, and the advantages and disadvantages of the support methods are summarized. Some valuable optimization methods to improve support effects are also introduced. As a case study, a radial segment-face contact support method is proposed to solve the support problem for a large-aperture rotating prism, and a two-step optimization method is implemented to improve the support effects. The surface deformations under different support separated angles are evaluated. The overview can be as good references for large-size mirror support design in similar opto-mechanical systems especially under movement conditions.

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Section: Supporting Optimization Methodsmentioning

confidence: 99%

An overview of radial supporting ways for large-size movement mirror: a case study of a large-aperture rotating prism

Wang

Ding

et al. 2012

SPIE Proceedings

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“…Cho et al [19] conducted FEA and optical analyses for support frame design. They analyzed the static deformation induced by gravity and temperature, and then established a fixturing matrix to compensate potential errors using an active optics system.…”

Section: Related Workmentioning

confidence: 99%

Optimization of fixture layouts of glass laser optics using multiple kernel regression

Cao

Qiao

2014

Appl. Opt.

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We aim to build an integrated fixturing model to describe the structural properties and thermal properties of the support frame of glass laser optics. Therefore, (a) a near global optimal set of clamps can be computed to minimize the surface shape error of the glass laser optic based on the proposed model, and (b) a desired surface shape error can be obtained by adjusting the clamping forces under various environmental temperatures based on the model. To construct the model, we develop a new multiple kernel learning method and call it multiple kernel support vector functional regression. The proposed method uses two layer regressions to group and order the data sources by the weights of the kernels and the factors of the layers. Because of that, the influences of the clamps and the temperature can be evaluated by grouping them into different layers.

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“…Next, a further optimization was processed to select support forces into groups without sacrificing the RMS surface errors. This optimization process is being adopted in the Primary Mirror of the Advanced Technology Solar Telescope (ATST) Project [2] and the Secondary Mirror and Tertiary Mirror of the Thirty Mirror Telescope (TMT) Project [5] [6] .…”

Section: M2 Axial Supportmentioning

confidence: 99%

“…The key metric, during the optimization process, was the optical surface RMS error. This optimization process was initially developed for the Gemini 8m telescopes [1] [3] and applied to the Gemini primary mirrors.…”

Section: M2 Axial Supportmentioning

confidence: 99%

Performance prediction of the LSST secondary mirror

Cho

Liang

Neill

2009

Advances in Optomechanics

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The Large Synoptic Survey Telescope (LSST) is an 8.4 meter telescope with a field of view of 10 square degrees. This telescope will be capable of mapping the entire visible sky every few nights via sequential 15-second exposures, opening new windows on the universe from dark energy to time variable objects. The LSST optics calls for an annular 3.5 m diameter Secondary Mirror (M2), which is a large meniscus convex asphere (ellipse). The M2 converts the beam reflected from the f/1.2 primary mirror into a beam for the f/0.83 Tertiary Mirror (M3). The M2 has a mass of approximately 1.5 metric tons and the mirror support system will need to maintain the mirror figure at different gravity orientations. The optical performance evaluations were made based on the optimized support systems consisting of 72 axial supports, mounted at the mirror back surface, and 6 tangent link lateral supports mounted around the outer edge. The predicted print-though errors of the M2 supports are 8nm RMS surface for axial gravity and 10nm RMS surface for lateral gravity. The natural frequencies were calculated for the M2 dynamic performance. In addition, thermo-elastic analyses of M2 for thermal gradient cases were conducted. The LSST M2 support system has an active optics capability to maintain optical figure and its performance to correct low-order aberrations has been demonstrated. The optical image qualities and structure functions for the axial and lateral gravity print-through cases, and thermal gradient effects were calculated.

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Optimization of the ATST primary mirror support system

Cited by 14 publications

References 1 publication

An overview of radial supporting ways for large-size movement mirror: a case study of a large-aperture rotating prism

An overview of radial supporting ways for large-size movement mirror: a case study of a large-aperture rotating prism

Optimization of fixture layouts of glass laser optics using multiple kernel regression

Performance prediction of the LSST secondary mirror

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