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<h2>Table of Contents</h2>
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					<h2>Table of Contents</h2>
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<ul>
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					<ul>
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<li><a href="#orgb69bc8c">1. First Measurements</a>
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					<li><a href="#org28fc04b">1. Estimation of the Spectral Density of the Attocube Noise</a>
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					<ul>
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<li><a href="#org170c3a9">1.1. Load Data</a></li>
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					<li><a href="#org8f7a999">1.1. Long and Slow measurement</a></li>
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					<li><a href="#orgf4f16a8">1.2. Short and Fast measurement</a></li>
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					<li><a href="#org7bd25e6">1.3. Obtained Amplitude Spectral Density of the measured displacement</a></li>
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<h2 id="orgb69bc8c"><span class="section-number-2">1</span> First Measurements</h2>
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					<h2 id="org28fc04b"><span class="section-number-2">1</span> Estimation of the Spectral Density of the Attocube Noise</h2>
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<h3 id="org170c3a9"><span class="section-number-3">1.1</span> Load Data</h3>
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					<h3 id="org8f7a999"><span class="section-number-3">1.1</span> Long and Slow measurement</h3>
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<div class="outline-text-3" id="text-1-1">
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<div class="org-src-container">
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					<p>
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<pre class="src src-matlab">load(<span class="org-string">'./mat/long_test.mat'</span>, <span class="org-string">'x'</span>, <span class="org-string">'t'</span>)
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					The first measurement was made during ~17 hours with a sampling time of \(T_s = 0.1\,s\).
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Ts = 1; <span class="org-comment">% [s]</span>
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					</p>
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win = hann(ceil(length(x)<span class="org-type">/</span>10));
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					<div class="org-src-container">
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					<pre class="src src-matlab">load(<span class="org-string">'./mat/long_test2.mat'</span>, <span class="org-string">'x'</span>, <span class="org-string">'t'</span>)
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					Ts = 0.1; <span class="org-comment">% [s]</span>
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					</pre>
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					<div id="org7f956e7" class="figure">
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					<p><img src="figs/long_meas_time_domain_full.png" alt="long_meas_time_domain_full.png" />
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					</p>
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					<p><span class="figure-number">Figure 1: </span>Long measurement time domain data</p>
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					</div>
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					<p>
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					We can see in Figure <a href="#org7f956e7">1</a> that there is a transient period where the measured displacement experiences some drifts.
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					This is probably due to thermal effects.
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					We only select the data between <code>t1</code> and <code>t2</code>.
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					The obtained displacement is shown in Figure <a href="#orgab24552">2</a>.
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					</p>
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					<div class="org-src-container">
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					<pre class="src src-matlab">t1 = 11; t2 = 17; <span class="org-comment">% [h]</span>
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					x = x(t <span class="org-type">></span> t1<span class="org-type">*</span>60<span class="org-type">*</span>60 <span class="org-type">&</span> t <span class="org-type"><</span> t2<span class="org-type">*</span>60<span class="org-type">*</span>60);
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					x = x <span class="org-type">-</span> mean(x);
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					t = t(t <span class="org-type">></span> t1<span class="org-type">*</span>60<span class="org-type">*</span>60 <span class="org-type">&</span> t <span class="org-type"><</span> t2<span class="org-type">*</span>60<span class="org-type">*</span>60);
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					t = t <span class="org-type">-</span> t(1);
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					</pre>
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					<div id="orgab24552" class="figure">
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					<p><img src="figs/long_meas_time_domain_zoom.png" alt="long_meas_time_domain_zoom.png" />
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					</p>
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					<p><span class="figure-number">Figure 2: </span>Kept data (removed slow drifts during the first hours)</p>
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					</div>
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					<p>
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					The Power Spectral Density of the measured displacement is computed
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					</p>
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					<div class="org-src-container">
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					<pre class="src src-matlab">win = hann(ceil(length(x)<span class="org-type">/</span>20));
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			||||||
[p_1, f_1] = pwelch(x, win, [], [], 1<span class="org-type">/</span>Ts);
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					[p_1, f_1] = pwelch(x, win, [], [], 1<span class="org-type">/</span>Ts);
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</pre>
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					<div id="outline-container-orgf4f16a8" class="outline-3">
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					<h3 id="orgf4f16a8"><span class="section-number-3">1.2</span> Short and Fast measurement</h3>
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					<div class="outline-text-3" id="text-1-2">
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					<p>
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					An second measurement is done in order to estimate the high frequency noise of the interferometer.
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					The measurement is done with a sampling time of \(T_s = 0.1\,ms\) and a duration of ~100s.
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					</p>
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<div class="org-src-container">
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<pre class="src src-matlab">load(<span class="org-string">'./mat/test.mat'</span>, <span class="org-string">'x'</span>, <span class="org-string">'t'</span>)
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					<pre class="src src-matlab">load(<span class="org-string">'./mat/test.mat'</span>, <span class="org-string">'x'</span>, <span class="org-string">'t'</span>)
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Ts = 1e<span class="org-type">-</span>4; <span class="org-comment">% [s]</span>
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					Ts = 1e<span class="org-type">-</span>4; <span class="org-comment">% [s]</span>
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					</pre>
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win = hann(ceil(length(x)<span class="org-type">/</span>50));
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					<p>
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					The time domain measurement is shown in Figure <a href="#orge8034c6">3</a>.
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					<div id="orge8034c6" class="figure">
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					<p><img src="figs/short_meas_time_domain.png" alt="short_meas_time_domain.png" />
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					</p>
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					<p><span class="figure-number">Figure 3: </span>Time domain measurement with the high sampling rate</p>
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					</div>
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					<p>
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					The Power Spectral Density of the measured displacement is computed
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					</p>
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					<div class="org-src-container">
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					<pre class="src src-matlab">win = hann(ceil(length(x)<span class="org-type">/</span>20));
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[p_2, f_2] = pwelch(x, win, [], [], 1<span class="org-type">/</span>Ts);
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					[p_2, f_2] = pwelch(x, win, [], [], 1<span class="org-type">/</span>Ts);
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</pre>
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					<div id="outline-container-org7bd25e6" class="outline-3">
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					<h3 id="org7bd25e6"><span class="section-number-3">1.3</span> Obtained Amplitude Spectral Density of the measured displacement</h3>
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					<div class="outline-text-3" id="text-1-3">
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					<p>
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					The computed ASD of the two measurements are combined in Figure <a href="#org060925e">4</a>.
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					</p>
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					<div id="org060925e" class="figure">
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					<p><img src="figs/psd_combined.png" alt="psd_combined.png" />
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					</p>
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					<p><span class="figure-number">Figure 4: </span>Obtained Amplitude Spectral Density of the measured displacement</p>
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					</div>
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<div id="postamble" class="status">
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					<div id="postamble" class="status">
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<p class="author">Author: Dehaeze Thomas</p>
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					<p class="author">Author: Dehaeze Thomas</p>
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<p class="date">Created: 2020-10-29 jeu. 10:06</p>
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					<p class="date">Created: 2020-10-29 jeu. 10:41</p>
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#+PROPERTY: header-args:matlab+ :output-dir figs
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* First Measurements
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					* Estimation of the Spectral Density of the Attocube Noise
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** Matlab Init                                             :noexport:ignore:
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					** Matlab Init                                             :noexport:ignore:
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#+begin_src matlab :tangle no :exports none :results silent :noweb yes :var current_dir=(file-name-directory buffer-file-name)
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					  <<matlab-init>>
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					#+end_src
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** Load Data
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					** Long and Slow measurement
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#+begin_src matlab
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					The first measurement was made during ~17 hours with a sampling time of $T_s = 0.1\,s$.
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  load('./mat/long_test.mat', 'x', 't')
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  Ts = 1; % [s]
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  win = hann(ceil(length(x)/10));
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  [p_1, f_1] = pwelch(x, win, [], [], 1/Ts);
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#+end_src
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#+begin_src matlab
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					#+begin_src matlab
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  load('./mat/test.mat', 'x', 't')
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					  load('./mat/long_test2.mat', 'x', 't')
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  Ts = 1e-4; % [s]
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					  Ts = 0.1; % [s]
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  win = hann(ceil(length(x)/50));
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  [p_2, f_2] = pwelch(x, win, [], [], 1/Ts);
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#+end_src
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					#+end_src
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					#+begin_src matlab :exports none
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					  figure;
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					  plot(t/60/60, 1e9*x)
 | 
				
			||||||
 | 
					  xlabel('Time [h]'); ylabel('Displacement [nm]');
 | 
				
			||||||
 | 
					#+end_src
 | 
				
			||||||
 | 
					
 | 
				
			||||||
 | 
					#+begin_src matlab :tangle no :exports results :results file replace
 | 
				
			||||||
 | 
					  exportFig('figs/long_meas_time_domain_full.pdf', 'width', 'wide', 'height', 'normal');
 | 
				
			||||||
 | 
					#+end_src
 | 
				
			||||||
 | 
					
 | 
				
			||||||
 | 
					#+name: fig:long_meas_time_domain_full
 | 
				
			||||||
 | 
					#+caption: Long measurement time domain data
 | 
				
			||||||
 | 
					#+RESULTS:
 | 
				
			||||||
 | 
					[[file:figs/long_meas_time_domain_full.png]]
 | 
				
			||||||
 | 
					
 | 
				
			||||||
 | 
					We can see in Figure [[fig:long_meas_time_domain_full]] that there is a transient period where the measured displacement experiences some drifts.
 | 
				
			||||||
 | 
					This is probably due to thermal effects.
 | 
				
			||||||
 | 
					We only select the data between =t1= and =t2=.
 | 
				
			||||||
 | 
					The obtained displacement is shown in Figure [[fig:long_meas_time_domain_zoom]].
 | 
				
			||||||
 | 
					
 | 
				
			||||||
 | 
					#+begin_src matlab
 | 
				
			||||||
 | 
					  t1 = 11; t2 = 17; % [h]
 | 
				
			||||||
 | 
					
 | 
				
			||||||
 | 
					  x = x(t > t1*60*60 & t < t2*60*60);
 | 
				
			||||||
 | 
					  x = x - mean(x);
 | 
				
			||||||
 | 
					  t = t(t > t1*60*60 & t < t2*60*60);
 | 
				
			||||||
 | 
					  t = t - t(1);
 | 
				
			||||||
 | 
					#+end_src
 | 
				
			||||||
 | 
					
 | 
				
			||||||
 | 
					#+begin_src matlab :exports none
 | 
				
			||||||
 | 
					  figure;
 | 
				
			||||||
 | 
					  plot(t/60/60, 1e9*x);
 | 
				
			||||||
 | 
					  xlabel('Time [h]'); ylabel('Measured Displacement [nm]')
 | 
				
			||||||
 | 
					#+end_src
 | 
				
			||||||
 | 
					
 | 
				
			||||||
 | 
					#+begin_src matlab :tangle no :exports results :results file replace
 | 
				
			||||||
 | 
					  exportFig('figs/long_meas_time_domain_zoom.pdf', 'width', 'wide', 'height', 'normal');
 | 
				
			||||||
 | 
					#+end_src
 | 
				
			||||||
 | 
					
 | 
				
			||||||
 | 
					#+name: fig:long_meas_time_domain_zoom
 | 
				
			||||||
 | 
					#+caption: Kept data (removed slow drifts during the first hours)
 | 
				
			||||||
 | 
					#+RESULTS:
 | 
				
			||||||
 | 
					[[file:figs/long_meas_time_domain_zoom.png]]
 | 
				
			||||||
 | 
					
 | 
				
			||||||
 | 
					The Power Spectral Density of the measured displacement is computed
 | 
				
			||||||
 | 
					#+begin_src matlab
 | 
				
			||||||
 | 
					  win = hann(ceil(length(x)/20));
 | 
				
			||||||
 | 
					  [p_1, f_1] = pwelch(x, win, [], [], 1/Ts);
 | 
				
			||||||
 | 
					#+end_src
 | 
				
			||||||
 | 
					
 | 
				
			||||||
 | 
					** Short and Fast measurement
 | 
				
			||||||
 | 
					An second measurement is done in order to estimate the high frequency noise of the interferometer.
 | 
				
			||||||
 | 
					The measurement is done with a sampling time of $T_s = 0.1\,ms$ and a duration of ~100s.
 | 
				
			||||||
 | 
					
 | 
				
			||||||
 | 
					#+begin_src matlab
 | 
				
			||||||
 | 
					  load('./mat/test.mat', 'x', 't')
 | 
				
			||||||
 | 
					  Ts = 1e-4; % [s]
 | 
				
			||||||
 | 
					#+end_src
 | 
				
			||||||
 | 
					
 | 
				
			||||||
 | 
					The time domain measurement is shown in Figure [[fig:short_meas_time_domain]].
 | 
				
			||||||
 | 
					
 | 
				
			||||||
 | 
					#+begin_src matlab :exports none
 | 
				
			||||||
 | 
					  figure;
 | 
				
			||||||
 | 
					  plot(t, 1e9*x)
 | 
				
			||||||
 | 
					  xlabel('Time [s]'); ylabel('Displacement [nm]');
 | 
				
			||||||
 | 
					  xlim([0, 100]);
 | 
				
			||||||
 | 
					#+end_src
 | 
				
			||||||
 | 
					
 | 
				
			||||||
 | 
					#+begin_src matlab :tangle no :exports results :results file replace
 | 
				
			||||||
 | 
					  exportFig('figs/short_meas_time_domain.pdf', 'width', 'wide', 'height', 'normal');
 | 
				
			||||||
 | 
					#+end_src
 | 
				
			||||||
 | 
					
 | 
				
			||||||
 | 
					#+name: fig:short_meas_time_domain
 | 
				
			||||||
 | 
					#+caption: Time domain measurement with the high sampling rate
 | 
				
			||||||
 | 
					#+RESULTS:
 | 
				
			||||||
 | 
					[[file:figs/short_meas_time_domain.png]]
 | 
				
			||||||
 | 
					
 | 
				
			||||||
 | 
					The Power Spectral Density of the measured displacement is computed
 | 
				
			||||||
 | 
					#+begin_src matlab
 | 
				
			||||||
 | 
					  win = hann(ceil(length(x)/20));
 | 
				
			||||||
 | 
					  [p_2, f_2] = pwelch(x, win, [], [], 1/Ts);
 | 
				
			||||||
 | 
					#+end_src
 | 
				
			||||||
 | 
					
 | 
				
			||||||
 | 
					** Obtained Amplitude Spectral Density of the measured displacement
 | 
				
			||||||
 | 
					
 | 
				
			||||||
 | 
					The computed ASD of the two measurements are combined in Figure [[fig:psd_combined]].
 | 
				
			||||||
 | 
					
 | 
				
			||||||
#+begin_src matlab :exports none
 | 
					#+begin_src matlab :exports none
 | 
				
			||||||
  figure;
 | 
					  figure;
 | 
				
			||||||
  hold on;
 | 
					  hold on;
 | 
				
			||||||
  plot(f_1(8:end), sqrt(p_1(8:end)));
 | 
					  plot(f_1(8:end), sqrt(p_1(8:end)), 'k-');
 | 
				
			||||||
  plot(f_2(8:end), sqrt(p_2(8:end)));
 | 
					  plot(f_2(8:end), sqrt(p_2(8:end)), 'k-');
 | 
				
			||||||
  hold off;
 | 
					  hold off;
 | 
				
			||||||
  set(gca, 'Xscale', 'log'); set(gca, 'Yscale', 'log');
 | 
					  set(gca, 'Xscale', 'log'); set(gca, 'Yscale', 'log');
 | 
				
			||||||
  ylabel('ASD [$m/\sqrt{Hz}$]'); xlabel('Frequency [Hz]');
 | 
					  ylabel('ASD [$m/\sqrt{Hz}$]'); xlabel('Frequency [Hz]');
 | 
				
			||||||
#+end_src
 | 
					#+end_src
 | 
				
			||||||
 | 
					
 | 
				
			||||||
 | 
					#+begin_src matlab :tangle no :exports results :results file replace
 | 
				
			||||||
 | 
					  exportFig('figs/psd_combined.pdf', 'width', 'wide', 'height', 'tall');
 | 
				
			||||||
 | 
					#+end_src
 | 
				
			||||||
 | 
					
 | 
				
			||||||
 | 
					#+name: fig:psd_combined
 | 
				
			||||||
 | 
					#+caption: Obtained Amplitude Spectral Density of the measured displacement
 | 
				
			||||||
 | 
					#+RESULTS:
 | 
				
			||||||
 | 
					[[file:figs/psd_combined.png]]
 | 
				
			||||||
 
 | 
				
			|||||||
							
								
								
									
										
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								mat/long_test2.mat
									
									
									
									
									
										Executable file
									
								
							
							
						
						
									
										
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								mat/long_test2.mat
									
									
									
									
									
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		Reference in New Issue
	
	Block a user