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Performance Estimation and Calibration Issues in Adaptive Optics Systems

This discussion addresses critical aspects of adaptive optics (AO) systems, focusing on the performance estimation and calibration challenges. Key topics include the interaction matrix, performance metrics such as seeing conditions, tip-tilt error, and the utilization of accelerometer data. It also examines secondary tilt and decenter measurements, including their impact on system performance at the H-band with specific seeing values. The session concludes with essential questions on measuring interaction matrices, sensor equivalence, and the need for diagnostic setups and potential feedforward corrections.

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Performance Estimation and Calibration Issues in Adaptive Optics Systems

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Presentation Transcript

  1. MMT-AO performances: discussion G. Brusa

  2. Outline • Interaction matrix • AO system model • Calibration issues • Performance estimation • Tip-tilt error • Accelerometer data

  3. Interactionmatrix

  4. t soff sout + REC C DM + + - sin WFS AO system model

  5. Turbulence W F S I S S C R T R D M I Adaptive Secondary spo slo rtr com, pos, cur DDS WFSC AO Block Diagram

  6. Seeing vs. g’ factor

  7. Best performances • H band • Seeing 0.4” • SR • 40% (SE) • 20-30% (LE)

  8. ; 10mas Uncorrected tip-tilt Total 30mas (single axis)

  9. Secondary Tilt and Decenter (I) da = 15.4 nm/mas dl = 43.1 nm/mas dax= 300 nm rms day= 300 nm rms dlx= 1600 nm rms dly= 300 nm rms

  10. Secondary Tilt and Decenter (II) da = 15.4 nm/mas dl = 43.1 nm/mas dax= 170 nm rms day= 130 nm rms dlx= 310 nm rms dly= 120 nm rms

  11. Conclusions • How are we going to measure the interaction matrix ? • Is there an equivalent g’ for the pyramid sensor ? • How are we going to setup the diagnostics both from WFC and technical camera ? • Do we need to implement a feedforward correction of vibrations ?

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