DOI QR코드

DOI QR Code

Atmospheric Turbulence Simulator for Adaptive Optics Evaluation on an Optical Test Bench

  • Lee, Jun Ho (Department of Optical Engineering, Kongju National University) ;
  • Shin, Sunmy (Department of Optical Engineering, Kongju National University) ;
  • Park, Gyu Nam (Department of Optical Engineering, Kongju National University) ;
  • Rhee, Hyug-Gyo (Center for Space Optics, Korea Research Institute of Standard and Science) ;
  • Yang, Ho-Soon (Center for Space Optics, Korea Research Institute of Standard and Science)
  • Received : 2017.02.01
  • Accepted : 2017.02.23
  • Published : 2017.04.25

Abstract

An adaptive optics system can be simulated or analyzed to predict its closed-loop performance. However, this type of prediction based on various assumptions can occasionally produce outcomes which are far from actual experience. Thus, every adaptive optics system is desired to be tested in a closed loop on an optical test bench before its application to a telescope. In the close-loop test bench, we need an atmospheric simulator that simulates atmospheric disturbances, mostly in phase, in terms of spatial and temporal behavior. We report the development of an atmospheric turbulence simulator consisting of two point sources, a commercially available deformable mirror with a $12{\times}12$ actuator array, and two random phase plates. The simulator generates an atmospherically distorted single or binary star with varying stellar magnitudes and angular separations. We conduct a simulation of a binary star by optically combining two point sources mounted on independent precision stages. The light intensity of each source (an LED with a pin hole) is adjustable to the corresponding stellar magnitude, while its angular separation is precisely adjusted by moving the corresponding stage. First, the atmospheric phase disturbance at a single instance, i.e., a phase screen, is generated via a computer simulation based on the thin-layer Kolmogorov atmospheric model and its temporal evolution is predicted based on the frozen flow hypothesis. The deformable mirror is then continuously best-fitted to the time-sequenced phase screens based on the least square method. Similarly, we also implement another simulation by rotating two random phase plates which were manufactured to have atmospheric-disturbance-like residual aberrations. This later method is limited in its ability to simulate atmospheric disturbances, but it is easy and inexpensive to implement. With these two methods, individually or in unison, we can simulate typical atmospheric disturbances observed at the Bohyun Observatory in South Korea, which corresponds to an area from 7 to 15 cm with regard to the Fried parameter at a telescope pupil plane of 500 nm.

Keywords

References

  1. J. M. Beckers, "Adaptive optics for astronomy: principles, performance, and applications," Annu. Rev. Astron. Astrophys. 31, 13-62 (1993). https://doi.org/10.1146/annurev.aa.31.090193.000305
  2. R. K. Tyson, "Adaptive optics system performance approximations for atmospheric turbulence correction," Opt. Eng. 29, 1165-1173 (1990). https://doi.org/10.1117/12.55711
  3. B. W. Frazier, M. Smith, and R. K. Tyson, "Performance of a compact adaptive-optics system," Appl. Opt. 43, 4281-4287 (2004). https://doi.org/10.1364/AO.43.004281
  4. M. A. van Dam, D. Le Mignant, and B. A. Macintosh, "Performance of the keck observatory adaptive-optics system," Appl. Opt. 43, 5458-5467 (2004). https://doi.org/10.1364/AO.43.005458
  5. B. L. Ellerbroek, "First-order performance evaluation of adaptive-optics systems for atmospheric-turbulence compensation in extended-field-of-view astronomical telescopes," J. Opt. Soc. Am. A 11, 783-805 (1994). https://doi.org/10.1364/JOSAA.11.000783
  6. M. Puga, R. Lopez, D. King, and A. Oscoz, "An atmospheric turbulence and telescope simulator for the development of AOLI," Proc. SPIE 9147, Ground-based and Airborne Instrumentation for Astronomy V, 91477V (2014).
  7. S. Thomas, "A simple turbulence simulator for adaptive optics," Proc. SPIE 5490, 766-773 (2004).
  8. J. H. Lee, H. S. Gho, J. I. Lee, Y. C. Lee, U. C. Kang, J. W. Kim, Y. I. Cho, S. J. Kim, K. M. Lee, B. T. Choi, and H. J. Cheon, "A 37ch visible adaptive optics system for wavefront compensation," J. Korean Phys. Soc. 49, 139-144 (2006).
  9. M. K. Giles, A. Seward, M. A. Vorontsov, J. Rha, and R. Jimenez, "Setting up a liquid crystal phase screen to simulate atmospheric turbulence," Proc. SPIE 4124, 89-97 (2000).
  10. T. S. Taylor and D. A. Gregory, "Laboratory simulation of atmospheric turbulence-induced optical wavefront distortion," Opt. Laser Technol. 34, 665-669 (2002). https://doi.org/10.1016/S0030-3992(02)00095-6
  11. L. Hu, L. Xuan, Z. Cao, Q. Mu, D. Li, and Y. Liu, "A liquid crystal atmospheric turbulence simulator," Opt. Express 14, 11911-11918 (2006). https://doi.org/10.1364/OE.14.011911
  12. E. J. Fernandez, L. Vabre, B. Hermann, A. Unterhuber, B. Povazay, and W. Drexler, "Adaptive optics with a magnetic deformable mirror: applications in the human eye," Opt. Express 14, 8900-8917 (2006). https://doi.org/10.1364/OE.14.008900
  13. K. Ahn, H. Rhee, H. Lee, J. H. Lee, H. Yang, and H. Kihm, "Wavefront compensation using a silicon carbide deformable mirror with 37 actuators for adaptive optics," Korean J. Opt. Photon. 27, 106-113 (2016). https://doi.org/10.3807/KJOP.2016.27.3.106
  14. V. I. Tatarskii, Wave propagation in a turbulent medium (McGraw-Hall, New York, 1961).
  15. D. L. Fried, "Optical resolution through a randomly inhomogeneous medium for very long and very short exposures," J. Opt. Soc. Am. 56, 1372-1379 (1966). https://doi.org/10.1364/JOSA.56.001372
  16. J. H. Lee, S. J. Ro, K. Kim, T. Butterley, R. Wilson, Y. Choi, and S. Lee, "Robotic SLODAR development for seeing evaluations at the Bohyunsan Observatory," Advanced Maui Optical and Space Surveillance Technologies Conference (2015).
  17. R. W. Wilson, "SLODAR: measuring optical turbulence altitude with a Shack-Hartmann wavefront sensor, "Mon. Not. R. Astron. Soc. 337, 103-108 (2002). https://doi.org/10.1046/j.1365-8711.2002.05847.x
  18. T. Butterley, R. W. Wilson, and M. Sarazin, "Determination of the profile of atmospheric optical turbulence strength from SLODAR data," Mon. Not. R. Astron. Soc. 369, 835-845 (2006). https://doi.org/10.1111/j.1365-2966.2006.10337.x
  19. Boston Micromachines Corporation-Deformable Mirrors, .
  20. R. G. Lane, A. Glindemann, and J. C. Dainty, "Simulation of a Kolmogorov phase screen," Waves in Random Media 2, 209-224 (1992). https://doi.org/10.1088/0959-7174/2/3/003
  21. C. M. Harding, R. A. Johnston, and R. G. Lane, "Fast simulation of a Kolmogorov phase screen," Appl. Opt. 38, 2161-2170 (1999). https://doi.org/10.1364/AO.38.002161