•A set of modes (20 mode) are applied at the same time modulated by different frequencies. The interaction matrices have been acquired for a total number of modes up to 600. The following parameters for the IM acquisition have been explored in order to optimize the performances of the sinusoidal technique: - ordering of the modes inside the set - the lower frequency of each set; this in order to avoid disturbances induced by system vibration - the frequency of each mode inside a single set has been calculated in order to avoid the cross-talk between the modes -the mode amplitudes have been selected optimizing the signal on the WFS • 30 set of 20 reordered modes for a total of 600 modes • starting frequency at 30Hz . •The reconstructors obtained from sinusoidal and push and pull techniques have been tested in closed loop in order to evaluate their performances. The closed loop has been performed with and without the disturbance simulating the atmospheric turbulence (seeing = 0.8” wind speed = 6 ms equivalent). Convolution of the frequency in the time integration selected, in order avoid the cross-talk between the modes Delta freq between frequencies for each integration time selected: delta_freq_hz=[10.,5.,3.33,2.5,2.0,1.67,1.43,1.25,1.11,1.0,0.5,0.33,0.25,0.2,0.17,0.14,0.13,0.11,0.10] time_integr_s=[.1,.2,.3,.4,.5,.6,.7,.8,.9,1,2,3,4,5,6,7,8,9,10.] Time integr: 0.1 0.4 0.8 1.0 4.0 8.0 Plot of max values of convolution for each integration time. The red line is a soglia=3sigma of conv. Valuated in order to find a minimum value for the cross talk 10.0 delta_freq_set-f_0 minimum range between frequecies of the array 1-soglia 0.35 0.67 0.76 0.79 0.89 0.92 0.93 6.52588 12.4676 14.2740 15.4290 32.4636 47.9820 49.8036 0.1 1.60146 3.05956 3.50285 3.75875 7.72355 10.7698 12.0447 0.4 0.798454 1.52543 1.74645 1.87336 3.84842 5.36223 5.99046 0.8 0.637861 0.160563 0.0847416 1.21863 0.306753 0.161896 1.39519 0.351198 0.185352 1.49643 0.376492 0.197601 3.07671 0.770308 0.381285 4.29043 1.07027 0.533566 4.79032 1.19455 0.597626 1.0 Time_integr 4.0 8.0 0.0623665 0.119152 0.136415 0.145840 0.314583 0.431211 0.478733 10.0 Mappa dei massimi (log scale) Signal_sin Mappa freq corrisp al max Signal_pp problem Modo 0 Abs(signal_pp) rms_ref rms_sin 0.176775 0.186964 diff Mappa dei massimi (log scale) Signal_sin Modo 30 Mappa freq corrisp al max Signal_pp Abs(signal_pp) diff Single mode_408 metodo prova media dati 1090 subap su 1220 freq_modulation (35.7444) 89% media 10 data 846 subap su 1220 freq_modulation (35.7444) 69% NO MEDIA AMP_PP:2e-07 AMP_SIN:2e-08 x=[1,2,3,4,5,10,12] Y=[69,78,82,85,86,89] At least there is not cross-talk effect, the choice of df = 0.478 Hz seems sensible Mappa dei massimi (log scale) Signal_sin Mappa freq corrisp al max Signal_pp Amplitude problem? Modo 0 Abs(signal_pp) amp_pushpull_modo(m0) 2.01977e-006 amp_sin_modo(m0) 2.01977e-007 diff amp_sin_modo(m0) rms_sin 0.16 2.01977e-006 amp_sin_modo(m0) rms_sin 0.19 2.01977e-007 amp_pushpull_modo(m0) 2.01977e-006 rms_ref] 0.18 Available Integration time ? Optimization of bandwidth according to number of modes in each set Amplitude optimization of chosen modes inside a single set Determination of best frequency set -Creation of an automatization of the overall process -Creation of a routine for cleaning measured modes -Need to re-do measurements with new improvements Cross_talk_check Log 0.1 sec M50x50 of modes Df=1Hz (freq=[30,80] Hz) Each row is found with cross talk procedure Log 1 sec Log 10 sec

Scarica
# sin_220709