Add every computation files and data

2018-10-15 - Marc/analysis-marc/id31_microstation_15october2018.m

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+% Title: id31 microstation in EXP hutch
+% Date: 15 october 2018
+
+% Description: measure on id31 microstation in exp hutch
+
+% FS: =256Hz
+
+
+%% 15 october 2018 --------------
+
+% L4-c sensor at 276V/m/s
+
+% ch1: Tilt frame Z upstream
+% ch2: Tilt frame Z downstream
+% ch3: Ty frame Y
+
+% TY motor off --> on at ~300sec
+% capt1
+
+% Tilt OFF --> ON at ~ 326sec
+% capt2
+
+% ----------------------------
+% ch1: Hexa Z
+% ch2: Tilt frame Z downstream
+% ch3: Ty frame Y
+%
+% Hexa ON --> OFF at ~ 406sec  (tilt ON)
+% capt3
+%
+% Hexa OFF - Slip ring ON at ~ 300sec then spindle ON at ~ 620sec (tilt ON)
+% capt4
+
+%% Marble measurements ----
+% ch1 floor Z
+% ch2 marble Z
+% ch3 floor Y
+% ch4 marble Y
+
+% capt5
+
+%% PARAMETERS
+
+beamline='ID31 Nanostation ';
+% --------------------------------
+%%----------OROS -----------------
+ch_max=16;
+% --------------------------------
+
+mult=1e6/276*173;  % --> m/s to micron/s and sensitivity correction
+
+nyqhp=2.56; % nyquist
+f_cut=0.5; % cut frequency for high pass filter
+t_win=4; % window length in sec
+t_ovlp=3; % overlap window in sec
+
+d=1; % distance between vertical sensors.
+
+
+warning off MATLAB:divideByZero
+
+% specify capt # for which to run this
+capt=1:5;
+
+% specify channels for which shut correction must be applied
+% shunt_ch_a=1:3;
+% shunt_ch_b=1:4;
+% in case of hammer inpacts specify capt # where it doesnt occur
+no_hammer=1:5;
+%no_hammer=0;
+% specify hammer channel (or ch to find peak due to impacts)
+shock_ch=1;
+
+%% main loop --------
+% ------------------
+for i=capt
+
+
+    eval(['load Measurement',num2str(i)])
+    freq_max=Track1_TrueBandWidth;
+    dts=1/(freq_max*nyqhp);
+
+    freq=linspace(0,freq_max,t_win*freq_max);
+    wo=2*pi*freq;
+
+    for k=1:ch_max
+    vname=['Track',num2str(k)];
+    array_exist(k)=ismember(vname,who);
+    end
+    non_zero=find(array_exist);
+    for z=non_zero(1):length(non_zero)
+    track_nb=['Track',num2str(z)]';
+    eval(['data(:,z)=Track',num2str(z),';']);
+    end
+    c=data*mult;
+
+
+
+    %-------------
+    nbch=size(c,2);
+    %-------------
+    r=length(c);
+    if r/2~=fix(r/2)    % loop to test for odd or even nb of samples
+       c=c(1:r-1,:);   % take only even
+    else
+    end
+    %------------------------------
+    time=linspace(0,length(c)*dts,length(c));
+
+    for j=nbch %shunt_ch
+        [c(:,j),c_shut]=shut_c(c(:,j),1/dts);   % correct for shunt
+    end
+
+    % compute differential level when necessary and store it as 4th column
+    if i<3
+    c(:,4)=(c(:,2)-c(:,1))/d; % divide by d to obtain Theta Y angle
+    end
+
+     b=find(no_hammer==i); %      if i==1 | i==2 | i==6
+     if b~=0
+         [psd_v,integ_v,psd_d,integ_d]=integrated_psd(c,t_win,t_ovlp,nyqhp,dts);
+         [frz_cut,crsp,pwsp,coherz,nsp]=fqresp(c,1,t_win,t_ovlp,nyqhp,dts);
+         [frh_cut,crsp,pwsp,coherz,nsp]=fqresp(c,3,t_win,t_ovlp,nyqhp,dts);
+     else
+
+        thresh=0.5;  % threshold of max value
+        sep=2.5;  % separation minimum of peaks in sec
+        pre_ev=2; % pre event delay in sec
+        pos_ev=2; % post event delay in sec
+
+        [ti,t_impact]=findpeaks(c(:,shock_ch),'minpeakheight',max(c(:,shock_ch))*thresh,'minpeakdistance',ceil(sep/dts));
+        % find times at which there are impacts (threshold of max and separated by sep sec)
+
+        psd_v=zeros((pre_ev+pos_ev)/dts/nyqhp,nbch);
+        psd_d=zeros((pre_ev+pos_ev)/dts/nyqhp,nbch);
+        frz_cut=zeros((pre_ev+pos_ev)/dts/nyqhp,nbch);
+
+        for k=1:length(t_impact)
+            ibeg=fix(t_impact(k)-(pre_ev/dts));
+            iend=fix(t_impact(k)+(pos_ev/dts));
+            freq_s=linspace(0,freq_max,t_win/2*freq_max);
+            if ibeg>1 && iend<length(c)        % eliminate indexes outside data range
+                [psd,integ_v,psd_int,integ_d]=integrated_psd(c(ibeg:iend,:),t_win,t_ovlp,nyqhp,dts);
+                psd_v=psd+psd_v;
+                psd_d=psd_int+psd_d;
+                [frz,crsp,pwsp,coherz,nsp]=fqresp(c(ibeg:iend,:),shock_ch,t_win,t_ovlp,nyqhp,dts);
+                frz_cut=frz+frz_cut;
+            end
+
+        end
+
+        psd_v=psd_v/length(t_impact);
+        psd_d=psd_d/length(t_impact);
+        frz_cut=frz_cut/length(t_impact);
+
+     end
+
+    drms=max(integ_d);  % compute rms level
+    dc=hpfint(c,f_cut,dts);    % filter and integrate in time domain
+    dppc=hpdpp(dc,t_win,t_ovlp,1,dts);  % compute peak to peak level
+
+
+   % tranfer function, cross spectrum, power spectr. and coherence w.r.t. ch1
+    %----------------------------------------------------------------------------------------------------
+
+   eval(['c',num2str(i),'=c;'])
+   eval(['dc',num2str(i),'=dc;'])
+   eval(['dppc',num2str(i),'=dppc;'])
+   eval(['drms',num2str(i),'=drms;'])
+   eval(['psd_v',num2str(i),'=psd_v;'])  % already integrated in OROS
+   eval(['psd_d',num2str(i),'=psd_d;'])
+   eval(['integ_v',num2str(i),'=integ_v;'])
+   eval(['integ_d',num2str(i),'=integ_d;'])
+   eval(['frz',num2str(i),'=frz_cut;'])
+   eval(['frh',num2str(i),'=frh_cut;'])
+%    eval(['frx',num2str(i),'=frx;'])
+%    eval(['coherz',num2str(i),'=coherz;'])
+   eval(['time',num2str(i),'=time;'])
+
+   clear data c dc psd psd_v psd_d time c_shut % clean up the mess
+
+
+end
+
+%% Plot settings for colors and linewidth----
+proname(1)={'LineWidth'};
+proname(2)={'Color'};
+proname(3)={'LineStyle'};
+
+val(1,1) = {.5}   ;val(1,2) = {[0.6 0.2 1]}     ;val(1,3) = {'-'};
+val(2,1) = {2}    ;val(2,2) = {[0 0 1]}         ;val(2,3) = {'-'};
+val(3,1) = {2}    ;val(3,2) = {[0.25 0.9 0.65]} ;val(3,3) = {'-'};
+val(4,1) = {2}    ;val(4,2) = {[0 1 0]}         ;val(4,3) = {'-'};
+val(5,1) = {0.5}  ;val(5,2) = {[1 0.4 0.4]}     ;val(5,3) = {'-'};
+val(6,1) = {2}    ;val(6,2) = {[1 0 0]}         ;val(6,3) = {'-'};
+val(7,1) = {1}    ;val(7,2) = {[0.8 0.8 0.8]}   ;val(7,3) = {'-'};
+val(8,1) = {2}    ;val(8,2) = {[0.1 0.1 0.2]}   ;val(8,3) = {'-'};
+val(9,1) = {1}    ;val(9,2) = {[0.7 0.8 0.4]}   ;val(9,3) = {'-'};
+val(10,1) = {2}   ;val(10,2) = {[0.7 0.8 0.2]}  ;val(10,3) = {'-'};
+val(11,1) = {1}   ;val(11,2) = {[0.9 0.7 0.35]} ;val(11,3) = {'-'};
+val(12,1) = {2}   ;val(12,2) = {[1 0.8 0.3]}    ;val(12,3) = {'-'};
+val(13,1) = {1}   ;val(13,2) = {[0.5 0.4 0.3]}  ;val(13,3) = {'-'};
+val(14,1) = {2}   ;val(14,2) = {[0.5 0.3 0.2]}  ;val(14,3) = {'-'};
+
+%% PLOT legends, titles,...
+
+xlab1='Frequency in Hz';
+xlab2='Time in sec';
+
+ylab1='Amplification';
+ylab2='PSD in $\frac{\mu{}m^{2}}{Hz}$';
+ylab3='PSD in $\frac{\mu{}m s)^{2}/Hz';
+ylab4='Displacement in ${\mu{}m}$';
+ylab5='Displacement in \mum';
+ylab7='Coherence';
+
+
+font_s=14;
+% ---------------------------------
+% tit_1=[beamline,' - Amplification wrt Floor (Z)'];
+% tit_2=[beamline,' - Amplification wrt Floor (Y)'];
+% tit_3=[beamline,' - Amplification wrt Floor (X)'];
+
+tit_4=[beamline,' - Vertical (Z) PSD'];
+tit_7=[beamline,' - Horizontal (X) PSD'];
+tit_6=[beamline,' - Horizontal (Y) PSD'];
+
+legend1=['Floor','Marble','Location','NorthEast'];
+% legend2=['''Floor OFF'',''Frame EM OFF'',''Floor ON'',''Frame EM ON'',''Location'',''NorthEast'''];
+% legend3=['''EM ON'',''EM OFF'',''Location'',''NorthWest'''];
+
+
+%% Response of Marble - Y
+
+h1 = newFigure(16,12);
+h=semilogy(freq,abs([psd_d5(:,[3 4])]));
+set(h,proname,val([1 6],1:3))
+eval(['leg1 = legend(',legend1,'); set(leg1, ''Interpreter'', ''latex'')'])
+titlabel_font(tit_6,xlab1,ylab2,font_s);
+axis([0 100 1e-11 1e-1])
+grid
+saveas(gcf,'psd_marble_y','fig')
+print -dpng psd_marble_y
+exportFigure(h1,'psd_marble_y', 'pdf')
+
+%% Response of Marble - Z
+
+h1 = newFigure(16,12);
+h=semilogy(freq,abs([psd_d5(:,[1 2])]));
+set(h,proname,val([1 6],1:3))
+eval(['leg1 = legend(',legend1,'); set(leg1, ''Interpreter'', ''latex'')'])
+titlabel_font(tit_4,xlab1,ylab2,font_s);
+axis([0 100 1e-11 1e-1])
+grid
+saveas(gcf,'psd_marble_z','fig')
+print -dpng psd_marble_z
+exportFigure(h1,'psd_marble_z', 'pdf')
+
+%% spectrograms
+spt = strogram_h(c1(:,3),4,3,1/256,2.56,'ID31 nanostation Ty Y - Ty ON @ 300s',1,30,4,12,'egend1','legend2');
+exportFigure(h1,'spectrogram_Ty_y', 'pdf')
+spt = strogram_h(c2(:,1),4,3,1/256,2.56,'ID31 nanostation Tilt Z - Tilt ON @ 320s',1,30,4,12,'egend1','legend2');
+exportFigure(h1,'spectrogram_Tilt_z', 'pdf')
+spt = strogram_h(c3(:,1),4,3,1/256,2.56,'ID31 nanostation Hexa Z - Hexa OFF @ 410s',1,30,4,12,'egend1','legend2');
+exportFigure(h1,'spectrogram_hexa_y', 'pdf')
+spt = strogram_h(c4(:,1),4,3,1/256,2.56,'ID31 nanostation Hexa Z - SlipRing ON @ 300s; Spindle ON @ 620s',1,30,4,12,'egend1','legend2');
+exportFigure(h1,'spectrogram_slip_spindle_y', 'pdf')

2018-10-15 - Marc/analysis-marc/info.txt

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+contient les mesures de l'effet des différents moteurs ON/OFF, j'ai sorti qq spectrogrammes qui montrent bien que c'est la spindle qui a le plus d'effet
+
++ une mesure de la réponse du marbre sans excitation.
+Le capteur Y sur le marbre semble faible en basse fréquence (marbre pas de niveau peut être)