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Scattering introduced by optical surface fabrication errors could degrade optical performance severely. Therefore, the optical designers are required to provide a roughness index for describing the specific surface or even all surfaces to ensure the final imaging performance. The surface root-mean-square (RMS) roughness is a common index to quantify surface topography. And there are also some available methods to acquire the surface RMS roughness based on bidirectional scattering distribution function theory or the angle spread function theory. However, the influence of the optical surface scattering on the optical system cannot be accurately revealed by the surface RMS roughness determined by these methods. On the one hand, the RMS roughness corresponds to an excessively wide spatial frequency range from 0 to 1/, where is the wavelength of the light. Consequently, it is difficult to measure the RMS roughness during manufacture. On the other hand, what really worsens the stray light performance of the system is only the surface profile located within a certain subinterval of the aforementioned frequency range, to put it in another way, the surface RMS roughness identified by the methods above is incompetent to quantify the amount of the energy that is surfacescattered to the detector. To address the issues above, in this paper we propose a novel approach to identifying the surface roughness. This method seeks to deduce the relation between optical surface RMS roughness and the stray light requirement of the system by dint of partial integrated scattering (PIS). In contrast to total integrated scattering, PIS counts the scattering light energy that could reach the detector. Hence, the RMS roughness identified in this way corresponds to the effective spatial frequency range that contributes to the stray light in the system. Firstly, the effective frequency range concerned with the system stray light level is identified through the analysis of the propagation path of the scattered light. Then, the surface RMS roughness would be measured within the established range according to the stray light requirement of the system and used to control the surface roughness as the roughness index during the optical manufacture process. The method not only considers the scattering as the surface characteristic, but also takes into account the influence of scattering on the system. Taking the solar magnetic field telescope (MFT) for example, the validity of the method is verified by comparing with the traditional methods. As manifested in the outcome, the effective frequency range of primary mirror is from 0 to 18 mm-1, and the surface RMS roughness identified in such a new way can stage the stray light performance of MFT in a more precise manner, which is more reliable to serve as a surface roughness index.
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Keywords:
- surface roughness /
- stray light /
- total integrated scattering /
- bidirectional scattering distribution function
[1] Harvey J E, Lewotsky K L, Kotha A 1995 Appl. Opt. 34 3024
[2] Yang W, Huang W, Xu W C, Shang H B 2013 Acta Opt. Sin. 33 0922001 (in Chinese)[杨旺, 黄玮, 许伟才, 尚红波 2013 光学学报 33 0922001]
[3] Tan N Y, Xu Z J, Wei K, Zhang Y, Wang R 2017 Acta Phys. Sin. 66 044201 (in Chinese)[谭乃悦, 许中杰, 韦可, 张月, 王睿 2017 66 044201]
[4] Harvey J E 2013 Proc. SPIE 8862 88620Q
[5] Fest E C 2013 Stray Light Analysis and Control (Washington:SPIE) pp64-70
[6] Gallagher D, Wu Z, Larson B, Nelson P G, Oakley P, Sewell S, Tomczyk S 2016 Proc. SPIE 9906 990654
[7] Harvey J E, Thompson A K 1995 Proc. SPIE 2576 155
[8] Krywonos A, Harvey J E, Choi N 2011 J. Opt. Soc. Am. A 28 1121
[9] Dittman M G, Grochocki F, Youngworth K 2006 Proc. SPIE 6291 62910P
[10] Stover J C 1995 Optical Scattering:Measurement and Analysis (Bellingham:SPIE) pp32-38
[11] Bennett H E, Porteus J O 1961 J. Opt. Soc. Am. A 51 123
[12] Stover J C 2012 Proc. SPIE 8495 849503
[13] Choi N, Harvey J E 2012 Proc. SPIE 8495 849504
[14] Harvey J E, Schroeder S, Duparr A 2012 Opt. Engineer. 51 013402
[15] Harvey J E 1977 Proc. SPIE 107 41
[16] Harvey J E, Vernold C L 1997 Proc. SPIE 3141 113
[17] Church E L 1988 Appl. Opt. 27 1518
[18] Harvey J E, Choi N, Krywonos A 2009 Proc. SPIE 7426 74260I
[19] Danilovic S, Gandorfer A, Lagg A Schssler, Solanki S K, Vgler A, Kastsukawa Y, Tsuneta S 2008 Astron. Astrophys. 484 L17
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[1] Harvey J E, Lewotsky K L, Kotha A 1995 Appl. Opt. 34 3024
[2] Yang W, Huang W, Xu W C, Shang H B 2013 Acta Opt. Sin. 33 0922001 (in Chinese)[杨旺, 黄玮, 许伟才, 尚红波 2013 光学学报 33 0922001]
[3] Tan N Y, Xu Z J, Wei K, Zhang Y, Wang R 2017 Acta Phys. Sin. 66 044201 (in Chinese)[谭乃悦, 许中杰, 韦可, 张月, 王睿 2017 66 044201]
[4] Harvey J E 2013 Proc. SPIE 8862 88620Q
[5] Fest E C 2013 Stray Light Analysis and Control (Washington:SPIE) pp64-70
[6] Gallagher D, Wu Z, Larson B, Nelson P G, Oakley P, Sewell S, Tomczyk S 2016 Proc. SPIE 9906 990654
[7] Harvey J E, Thompson A K 1995 Proc. SPIE 2576 155
[8] Krywonos A, Harvey J E, Choi N 2011 J. Opt. Soc. Am. A 28 1121
[9] Dittman M G, Grochocki F, Youngworth K 2006 Proc. SPIE 6291 62910P
[10] Stover J C 1995 Optical Scattering:Measurement and Analysis (Bellingham:SPIE) pp32-38
[11] Bennett H E, Porteus J O 1961 J. Opt. Soc. Am. A 51 123
[12] Stover J C 2012 Proc. SPIE 8495 849503
[13] Choi N, Harvey J E 2012 Proc. SPIE 8495 849504
[14] Harvey J E, Schroeder S, Duparr A 2012 Opt. Engineer. 51 013402
[15] Harvey J E 1977 Proc. SPIE 107 41
[16] Harvey J E, Vernold C L 1997 Proc. SPIE 3141 113
[17] Church E L 1988 Appl. Opt. 27 1518
[18] Harvey J E, Choi N, Krywonos A 2009 Proc. SPIE 7426 74260I
[19] Danilovic S, Gandorfer A, Lagg A Schssler, Solanki S K, Vgler A, Kastsukawa Y, Tsuneta S 2008 Astron. Astrophys. 484 L17
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