pro routine_fft_ellip_filter,Date=Date,stats_directory=stats_directory,$ x_center_file=x_center_file,y_center_file=y_center_file,$ depth=depth,x_off=x_off,y_off=y_off,exam_date=exam_date If (not keyword_set(Date)) then Date='10' If (not keyword_set(exam_date)) then exam_date='1_31' If (not keyword_set(stats_directory)) then stats_directory='stats_'+exam_date+'/' If (not keyword_set(x_center_file)) then x_center_file='newest_x_centers.txt' If (not keyword_set(y_center_file)) then y_center_file='newest_y_centers.txt' If (not keyword_set(depth)) then depth=1 If (not keyword_set(postscript_dir)) then postscript_dir='distorted_postscripts' If (not keyword_set(x_off)) then x_off=0 If (not keyword_set(y_off)) then y_off=0 stats_directory='/nfs/slac/g/ki/ki08/lsst/CPanalysis/2005-05-'+Date+$ '/ShackHartman/'+stats_directory+'/' postscript_dir='/nfs/slac/g/ki/ki08/lsst/CPanalysis/'+exam_date+'_figs/' nonfiducial=[1,2,3,4,5,6,7,8,9,13,14,17,18,19,20,21,22,23,24,25,$ 26,27,28,29,30,31,32,38,39,45,46,47,48,49,50,$ 51,52,53,54,55,63,64,71,72,73,74,75,$ 76,77,78,79,88,89,98,98,99,100,$ 101,102,103,113,114,123,124,125,$ 126,127,128,138,139,149,150,$ 151,152,163,164,174,175,$ 176,177,188,189,200,$ 201,210,213,214,225,$ 226,238,239,249,$ 251,261,262,263,264,265,266,$ 276,286,287,288,289,290,291,$ 301,302,303,304,305,306,307,308,309,$ 310,311,312,313,314,315,316,$ 317,318,319,320,321,322,323,324,325,$ 326,327,336,337,338,339,340,341,$ 351,361,362,363,364,365,366,$ 376,388,389,$ 401,413,414,425,$ 426,427,438,439,449,450,$ 451,452,454,463,464,473,474,475,$ 476,477,478,488,489,498,499,500,$ 501,502,503,504,513,514,522,523,524,525,$ 526,527,528,529,530,538,539,546,547,548,549,550,$ 551,552,553,554,555,556,563,564,570,571,572,573,574,575,$ 576,577,578,579,580,581,582,588,589,594,595,596,597,598,599,600,$ 601,602,603,604,605,606,607,608,609,610,613,614,617,618,619,620,621,$ 622,623,624,625]-1 ;Extra Index for the scale offset complement,findgen(626),nonfiducial,fiducial fitted=fiducial ;ARRAYS OF FILES offset_files=file_search(stats_directory+'*5132*sub_offsets.txt',count=num_stats_files) ;CONSTANTS num=25 grid_spots=625 index=findgen(625) ;ARRAY REFERENCE 25x25=625 FOR GRID subx=2*indgen(num)-25 ;The x-reference numbers suby=indgen(num)-12 ;The y-reference numbers ;HUGE DATA CUBE x_offset_hor=fltarr(num_stats_files,num,num) y_offset_hor=fltarr(num_stats_files,num,num) x_offset_ver=fltarr(num_stats_files,num,num) y_offset_ver=fltarr(num_stats_files,num,num) ;Correlations timee1=fltarr(num_stats_files-depth,num,num) timee2=fltarr(num_stats_files-depth,num,num) timee1num=fltarr(num_stats_files-depth,num,num) timee2num=fltarr(num_stats_files-depth,num,num) timeden=fltarr(num_stats_files-depth,num,num) timee1_arr=fltarr(num,num) timee2_arr=fltarr(num,num) frame_e1=fltarr(num_stats_files) frame_e2=fltarr(num_stats_files) ;FILL THE DATA CUBES for file_number=0,num_stats_files-1 do begin ;Take the results from the offset.txt files and fill the cube readcol,offset_files(file_number),x_offset,y_offset,format='X,X,f,X,f' ;Obtain the difference ordered in COLUMN, ROW between centroid and grid point x_offset(where(x_offset eq -10))=0 y_offset(where(y_offset eq -10))=0 x_offset_hor(file_number,*,*)=x_offset y_offset_hor(file_number,*,*)=y_offset ;Obtain the difference ordered in ROW, COLUMN x_offset_ver(file_number,*,*)=x_offset((index mod 25)*25+index/25) y_offset_ver(file_number,*,*)=y_offset((index mod 25)*25+index/25) endfor readcol,offset_files(0),xcoord,ycoord,format='x,f,x,f,x' for file_number=0,num_stats_files-depth-1 do begin timee1num(file_number,*,*)=x_offset_hor(file_number,*,*)*$ x_offset_hor(file_number+depth,*,*)-$ y_offset_hor(file_number,*,*)*$ y_offset_hor(file_number+depth,*,*) timee2num(file_number,*,*)=(x_offset_hor(file_number,*,*)*$ y_offset_hor(file_number+depth,*,*)$ +x_offset_hor(file_number+depth,*,*)$ *y_offset_hor(file_number,*,*)) timee1temp=timee1num(file_number,*,*) timee2temp=timee2num(file_number,*,*) frame_e1(file_number)=mean(timee1temp(where(timee1temp ne 0))) frame_e2(file_number)=mean(timee2temp(where(timee2temp ne 0))) endfor ;Grid for partvelvec x_ref_col=12.5*subx+542 y_ref_col=25.0*suby+460 index=findgen(num*num) gridx=fltarr(num*num) gridy=fltarr(num*num) gridx(index)=x_ref_col(index mod num) gridy(index)=y_ref_col(index/num) ;Indices and such no_bins=8 a=findgen(13)+12 b=findgen(12) subn=[a,b] subm=subn e1max=2.4 e1min=-2.4 e1hist=histogram(frame_e1,Nbins=no_bins,locations=loc_e1,$ reverse_indices=e1_ind,$ max=e1max,min=e1min) binsize=(e1max-e1min)/(no_bins-1) set_plot,'ps' device,filename=Postscript_dir+'Filtered_Offsets_e1_binned_'+Date+'.ps' loadct,0 ;load color table 39 device,/color ;allow color on the postscript device,ysize=8.5,/inches ;Height of plot in y device,xsize=11.0,/inches ;Width of plot in x device,yoffset=1.0,/inches ;Y position of lower left corner white='FFFFFF'x black='000000'x !P.CHARSIZE=1.0 !P.THICK=4. !p.multi=[0,1,1] print,e1hist for i=0, no_bins-1 do begin ;Allocate space for arrays for a given ellipticity bin rel_indices=e1_ind(e1_ind(i):e1_ind(i+1)-1) xfft_array=complexarr(N_elements(rel_indices),num,num) yfft_array=complexarr(N_elements(rel_indices),num,num) x_fft=complexarr(num,num) y_fft=complexarr(num,num) x_fft_re=complexarr(num,num) y_fft_re=complexarr(num,num) x_low_fft_re=complexarr(num,num) x_high_fft_re=complexarr(num,num) y_low_fft_re=complexarr(num,num) y_high_fft_re=complexarr(num,num) x_low_fft=complexarr(num,num) y_low_fft=complexarr(num,num) x_high_fft=complexarr(num,num) y_high_fft=complexarr(num,num) ;Fill the arrays with the ffts for j=0, N_elements(rel_indices)-1 do begin xfft_array(j,*,*)=fft(x_offset_hor(rel_indices(j),*,*)) yfft_array(j,*,*)=fft(y_offset_hor(rel_indices(j),*,*)) endfor ;Average the fft x_fft=avg(xfft_array,0) y_fft=avg(yfft_array,0) ;Rearrange indices for n=0,num-1 do begin for m=0,num-1 do begin x_fft_re(subn(n),subm(m))=x_fft(n,m) y_fft_re(subn(n),subm(m))=y_fft(n,m) endfor endfor ;Filter the arrays x_high_fft_re=x_fft_re y_high_fft_re=y_fft_re x_high_fft_re(9:15,9:15)=0 y_high_fft_re(9:15,9:15)=0 x_low_fft_re(9:15,9:15)=x_fft_re(9:15,9:15) y_low_fft_re(9:15,9:15)=y_fft_re(9:15,9:15) ;Rearrange for n=0,num-1 do begin for m=0,num-1 do begin x_low_fft(n,m)=x_low_fft_re(subn(n),subm(m)) y_low_fft(n,m)=y_low_fft_re(subn(n),subm(m)) x_high_fft(n,m)=x_high_fft_re(subn(n),subm(m)) y_high_fft(n,m)=y_high_fft_re(subn(n),subm(m)) endfor endfor ;Inverse fft x_offset_high=fft(x_high_fft,/inverse) x_offset_low=fft(x_low_fft,/inverse) y_offset_high=fft(y_high_fft,/inverse) y_offset_low=fft(y_low_fft,/inverse) x_offset_high_1=fltarr(625) x_offset_low_1=fltarr(625) y_offset_high_1=fltarr(625) y_offset_low_1=fltarr(625) x_offset_high_1(*)=x_offset_high y_offset_high_1(*)=y_offset_high x_offset_low_1(*)=x_offset_low y_offset_low_1(*)=y_offset_low gridx=[gridx,600] gridy=[gridy,810] x_offset_high_1=[x_offset_high_1,2] y_offset_high_1=[y_offset_high_1,0] x_offset_low_1=[x_offset_low_1,2] y_offset_low_1=[y_offset_low_1,0] ;X Low pass frequency shade_surf,congrid(abs(x_low_fft_re),600,600),background=white,$ color=black,xtitle='Kx',ytitle='Ky',$ position=[.2,.1,.9,.9],/normal xyouts,.1,.98,'Low Pass filter in X frequency domain',/normal xyouts,.6,.98,'Number of events= '+strtrim(e1hist(i),2),/normal xyouts,.1,.93,strtrim(loc_e1(i),2)+' < e1 < ' +$ strtrim(loc_e1(i)+binsize,2),/normal ;X High Pass Frequency shade_surf,congrid(abs(x_high_fft_re),600,600),background=white,$ color=black,xtitle='Kx',ytitle='Ky',$ position=[.1,.1,.9,.9],/normal xyouts,.1,.98,'High Pass filter in X frequency domain',/normal xyouts,.6,.98,'Number of events= '+strtrim(e1hist(i),2),/normal xyouts,.1,.93,strtrim(loc_e1(i),2)+' < e1 < ' +$ strtrim(loc_e1(i)+binsize,2),/normal ;Y High Pass Filter Frequency Domain shade_surf,congrid(abs(y_high_fft_re),600,600),background=white,$ color=black,xtitle='Kx',ytitle='Ky',$ position=[.1,.1,.9,.9],/normal xyouts,.1,.98,'High Pass filter in Y frequency domain',/normal xyouts,.6,.98,'Number of events= '+strtrim(e1hist(i),2),/normal xyouts,.6,.93,'Lenght=2',/normal xyouts,.1,.93,strtrim(loc_e1(i),2)+' < e1 < ' +$ strtrim(loc_e1(i)+binsize,2),/normal ;Y Low Pass Filter Frequency Domain shade_surf,congrid(abs(y_low_fft_re),600,600),background=white,$ color=black,xtitle='Kx',ytitle='Ky',$ position=[.1,.1,.9,.9],/normal xyouts,.1,.98,'Low Pass filter in Y frequency domain',/normal xyouts,.6,.98,'Number of events= '+strtrim(e1hist(i),2),/normal xyouts,.6,.93,'Lenght=2',/normal xyouts,.1,.93,strtrim(loc_e1(i),2)+' < e1 < ' +$ strtrim(loc_e1(i)+binsize,2),/normal ;Offsets with filter partvelvec, x_offset_low_1(fitted),y_offset_low_1(fitted),$ gridx(fitted),gridy(fitted),yrange=[150,800],$ xrange=[200,850],position=[0.1,0.1,0.9,0.9] xyouts,.1,.98,'Offsets with low pass filter applied',/normal xyouts,.6,.98,'Number of events= '+strtrim(e1hist(i),2),/normal xyouts,.6,.93,'Lenght=2',/normal xyouts,.1,.93,strtrim(loc_e1(i),2)+' < e1 < ' +$ strtrim(loc_e1(i)+binsize,2),/normal partvelvec,x_offset_high_1(fitted),y_offset_high_1(fitted),$ gridx(fitted),gridy(fitted),yrange=[150,800],$ xrange=[200,850],position=[0.1,0.1,0.9,0.9] xyouts,.1,.98,'Offsets with high pass filter applied',/normal xyouts,.6,.98,'Number of events= '+strtrim(e1hist(i),2),/normal xyouts,.6,.93,'Length=2',/normal xyouts,.1,.93,strtrim(loc_e1(i),2)+' < e1 < ' +$ strtrim(loc_e1(i)+binsize,2),/normal endfor plot,frame_e1 plot,frame_e2 !p.multi=[0,1,1] plot,frame_e1,frame_e2,psym=2 device,/close set_plot,'x' stop end