Compare old and new. Add simulation with LUT

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Thomas Dehaeze 2021-12-06 17:11:28 +01:00
parent 96e3b198da
commit 3dc498db7f
14 changed files with 80 additions and 7 deletions

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@ -88,8 +88,8 @@ In this section, we suppose that we are in the frame of one fast jack (all trans
Let's say with make a Bragg angle scan between 10deg and 60deg during 100s. Let's say with make a Bragg angle scan between 10deg and 60deg during 100s.
#+begin_src matlab #+begin_src matlab
Fs = 10e3; % Sample Frequency [Hz] Fs = 10e3; % Sample Frequency [Hz]
t = 0:1/Fs:100; % Time vector [s] t = 0:1/Fs:10; % Time vector [s]
theta = linspace(10, 60, length(t)); % Bragg Angle [deg] theta = linspace(10, 40, length(t)); % Bragg Angle [deg]
#+end_src #+end_src
The IcePAP steps are following the theoretical formula: The IcePAP steps are following the theoretical formula:
@ -190,28 +190,54 @@ exportFig('figs/generated_lut_icepap.pdf', 'width', 'wide', 'height', 'normal');
#+RESULTS: #+RESULTS:
[[file:figs/generated_lut_icepap.png]] [[file:figs/generated_lut_icepap.png]]
We can see that the LUT is *not* the motion error (Figure [[fig:lut_correct_and_motion_error]]). The current LUT implementation is the following:
#+begin_src matlab #+begin_src matlab
motion_error_lut = zeros(size(lut_range)); motion_error_lut = zeros(size(lut_range));
for i = 1:length(lut_range) for i = 1:length(lut_range)
% Get points indices where the icepap step is close to the wanted one % Get points indices where the icepap step is close to the wanted one
close_points = icepap_steps > 1e-6*lut_range(i) - 500e-9 & icepap_steps < 1e-6*lut_range(i) + 500e-9; close_points = icepap_steps > 1e-6*lut_range(i) - 500e-9 & icepap_steps < 1e-6*lut_range(i) + 500e-9;
% Get the corresponding motion error % Get the corresponding motion error
motion_error_lut(i) = lut_range(i) - 1e6*mean(measured_motion(close_points)); % [um] motion_error_lut(i) = lut_range(i) + (lut_range(i) - round(1e6*mean(measured_motion(close_points)))); % [um]
end end
#+end_src #+end_src
Let's compare the two Lookup Table in Figure [[fig:lut_comparison_two_methods]].
#+begin_src matlab :exports none
%% Comparison of the two Generated Lookup Table
figure;
hold on;
plot(lut_range, lut, ...
'DisplayName', 'New LUT');
plot(lut_range, motion_error_lut, ...
'DisplayName', 'Old LUT');
hold off;
xlabel('IcePAP input step [um]'); ylabel('Lookup Table output [um]');
legend('location', 'southeast');
#+end_src
#+begin_src matlab :tangle no :exports results :results file replace
exportFig('figs/lut_comparison_two_methods.pdf', 'width', 'wide', 'height', 'normal');
#+end_src
#+name: fig:lut_comparison_two_methods
#+caption: Comparison of the two lookup tables
#+RESULTS:
[[file:figs/lut_comparison_two_methods.png]]
If we plot the "corrected steps" for all steps for both methods, we clearly see the difference (Figure [[fig:lut_correct_and_motion_error]]).
#+begin_src matlab :exports none #+begin_src matlab :exports none
%% Corrected motion and motion error at each step position %% Corrected motion and motion error at each step position
figure; figure;
hold on; hold on;
plot(lut_range, lut-lut_range, ... plot(lut_range, lut-lut_range, ...
'DisplayName', 'Lookup Table Correction'); 'DisplayName', 'New LUT');
plot(lut_range, motion_error_lut, ... plot(lut_range, motion_error_lut-lut_range, ...
'DisplayName', 'Motion Error'); 'DisplayName', 'Old LUT');
hold off; hold off;
xlabel('IcePAP Steps [um]'); ylabel('Corrected motion [um]'); xlabel('IcePAP Steps [um]'); ylabel('Corrected motion [um]');
ylim([-110, 110]) ylim([-110, 110])
legend('location', 'southeast');
#+end_src #+end_src
#+begin_src matlab :tangle no :exports results :results file replace #+begin_src matlab :tangle no :exports results :results file replace
@ -223,6 +249,53 @@ exportFig('figs/lut_correct_and_motion_error.pdf', 'width', 'wide', 'height', 'n
#+RESULTS: #+RESULTS:
[[file:figs/lut_correct_and_motion_error.png]] [[file:figs/lut_correct_and_motion_error.png]]
Let's now implement both LUT to see which implementation is correct.
#+begin_src matlab :exports none
icepap_steps_output_new = lut(round(1e6*icepap_steps)-lut_range(1)+1);
i = round(1e6*icepap_steps)-motion_error_lut(1)+1;
i(i>length(motion_error_lut)) = length(motion_error_lut);
icepap_steps_output_old = motion_error_lut(i);
#+end_src
#+begin_src matlab
motion_new = zeros(size(icepap_steps_output_new));
motion_old = zeros(size(icepap_steps_output_old));
for i = 1:length(icepap_steps_output_new)
[~, i_step] = min(abs(icepap_steps_output_new(i) - 1e6*icepap_steps));
motion_new(i) = measured_motion(i_step);
[~, i_step] = min(abs(icepap_steps_output_old(i) - 1e6*icepap_steps));
motion_old(i) = measured_motion(i_step);
end
#+end_src
#+begin_src matlab :exports none
%% Measured Motion and Idealized Motion
% Use only middle motion where the LUT is working
i = round(0.1*length(icepap_steps)):round(0.9*length(icepap_steps));
figure;
hold on;
plot(icepap_steps(i), motion_new(i), ...
'DisplayName', 'Motion (new LUT)');
plot(icepap_steps(i), motion_old(i), ...
'DisplayName', 'Motion (old LUT)');
plot(icepap_steps(i), perfect_motion(i), 'k--', ...
'DisplayName', 'Ideal Motion');
hold off;
xlabel('IcePAP Steps [m]'); ylabel('Measured Motion [m]');
legend('location', 'southeast');
#+end_src
#+begin_src matlab :tangle no :exports results :results file replace
exportFig('figs/compare_old_new_lut_motion.pdf', 'width', 'wide', 'height', 'normal');
#+end_src
#+name: fig:compare_old_new_lut_motion
#+caption: Comparison of the obtained motion with new and old LUT
#+RESULTS:
[[file:figs/compare_old_new_lut_motion.png]]
* Attocube Calibration :noexport: * Attocube Calibration :noexport:

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