;xy_offsets ; ;PURPOSE: ; This script will return the average offset over the whole night for a given ; point on the ShackHartman grid. The covariance spectrum will then be obtained. ; pro new_xy_offsets_average,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 If (not keyword_set(Date)) then Date='10' If (not keyword_set(stats_directory)) then stats_directory='stats_temp' If (not keyword_set(x_center_file)) then x_center_file='x_centers.txt' If (not keyword_set(y_center_file)) then y_center_file='y_centers.txt' If (not keyword_set(depth)) then depth=1 If (not keyword_set(postscript_dir)) then postscript_dir='postscripts' If (not keyword_set(x_off)) then x_off=0 If (not keyword_set(y_off)) then y_off=0 stats_directory='/a/pippin01/Volumes/u08/lsst/CPanalysis/2005-05-'+Date+$ '/ShackHartman/'+stats_directory+'/' postscript_dir='/a/pippin01/Volumes/u08/lsst/CPanalysis/2005-05-'+Date+$ '/ShackHartman/'+postscript_dir+'/' ;ARRAYS OF FILES offset_files=file_search(stats_directory+'*5132*offsets.txt',count=num_stats_files) xcor_name=stats_directory+'average_xcorrelations.txt' ycor_name=stats_directory+'average_ycorrelations.txt' off_name=stats_directory+'average_offsets.txt' get_lun,xcor openw,xcor,xcor_name get_lun,ycor openw,ycor,ycor_name get_lun,off openw,off,off_name ;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,grid_spots) y_offset_hor=fltarr(num_stats_files,grid_spots) x_offset_ver=fltarr(num_stats_files,grid_spots) y_offset_ver=fltarr(num_stats_files,grid_spots) x_coord_arr=fltarr(num_stats_files,grid_spots) y_coord_arr=fltarr(num_stats_files,grid_spots) ;OFFSET AVERAGES y_off_avg=fltarr(grid_spots) x_off_avg=fltarr(grid_spots) x_coord_avg=fltarr(grid_spots) y_coord_avg=fltarr(grid_spots) ;FILL THE DATA CUBES WITH THE OFFSETS 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_coord,x_offset,y_coord,y_offset,$ format='X,f,f,f,f' ;Obtain the difference ordered in COLUMN, ROW between centroid and grid point x_offset_hor(file_number,*)=x_offset y_offset_hor(file_number,*)=y_offset x_coord_arr(file_number,*)=x_coord y_coord_arr(file_number,*)=y_coord endfor ;DATA CUBEs are now in place. Now obtain the mean offset for each grid point for spot_number=0,grid_spots-1 do begin x_valid=where(x_offset_hor(*,spot_number) ne -10) y_valid=where(y_offset_hor(*,spot_number) ne -10) if where(x_valid ne y_valid) ne -1 then stop if x_valid(0) ne -1 then begin ;obtain average offsets for fiducial points x_off_avg(spot_number)=mean(x_offset_hor(x_valid,spot_number)) y_off_avg(spot_number)=mean(y_offset_hor(x_valid,spot_number)) ;obtain average coordinates as well x_coord_avg(spot_number)=mean(x_coord_arr(x_valid,spot_number)) y_coord_avg(spot_number)=mean(y_coord_arr(x_valid,spot_number)) endif else begin x_off_avg(spot_number)=0 y_off_avg(spot_number)=0 endelse printf,off,FORMAT='(%"%i\t%f\t%f\t%f\t%f")',$ spot_number,x_coord_avg(spot_number),x_off_avg(spot_number),$ y_coord_avg(spot_number),y_off_avg(spot_number) endfor free_lun,off close,off ;OFFSETS are arranged by column, then row. Also obtain arrangement by row, then column x_off_avg_hor=x_off_avg y_off_avg_hor=y_off_avg x_off_avg_ver=x_off_avg((index mod 25)*25+index/25) y_off_avg_ver=y_off_avg((index mod 25)*25+index/25) Cxl=fltarr(num,depth) Cxt=fltarr(num,depth) Cyl=fltarr(num,depth) Cyt=fltarr(num,depth) for time=0, depth-1 do begin for spacing=0, num-1 do begin Cxl_arr=fltarr(num*num) Cxt_arr=fltarr(num*num) Cyl_arr=fltarr(num*num) Cyt_arr=fltarr(num*num) ;SCAN FIRST ALONG THE ROWS for column_index=0, num-1 do begin for row_index=0, num-1 do begin spot_index=column_index*num+row_index ;If we have reached the edge, start on the next row If (row_index+spacing) ge num then break ;Check to see if both have valid values If (x_off_avg_hor(spot_index) ne 0) and $ (x_off_avg_hor(spot_index+spacing) ne 0) $ then begin ;X_off and Y_off contain offsets to tweek the plots Cxl_arr(spot_index)=(x_off_avg_hor(spot_index)+x_off)*$ (x_off_avg_hor(spot_index+spacing)+x_off) Cxt_arr(spot_index)=(y_off_avg_hor(spot_index)+y_off)*$ (y_off_avg_hor(spot_index+spacing)+y_off) ;print,FORMAT='(%"%i\t%i\t")',spot_index,spot_index+spacing endif endfor endfor correlated=where(Cxl_arr ne 0) If correlated(0) ne -1 then begin Cxl(spacing,time)=mean(Cxl_arr(correlated)) Cxt(spacing,time)=mean(Cxt_arr(correlated)) endif else begin Cxl(spacing,time)=0 Cxt(spacing,time)=0 endelse printf,xcor,FORMAT='(%"%f\t%f\t%i")',Cxl(spacing,0),Cxt(spacing,0),N_elements(correlated) ;SCAN SECOND ALONG Y for column_index=0, num-1 do begin for row_index=0, num -1 do begin spot_index=column_index*num+row_index ;If we have reached the edge, start on the next row If (row_index+spacing) ge num then break ;Check to see if both have valid values If (y_off_avg_ver(spot_index) ne 0) and $ (y_off_avg_ver(spot_index+spacing) ne 0) $ then begin Cyl_arr(spot_index)=(y_off_avg_ver(spot_index)+y_off)*$ (y_off_avg_ver(spot_index+spacing)+y_off) Cyt_arr(spot_index)=(x_off_avg_ver(spot_index)+x_off)*$ (x_off_avg_ver(spot_index+spacing)+x_off) ;print,FORMAT='(%"%i\t%i\t")',spot_index,spot_index+spacing endif endfor endfor correlated=where(Cyl_arr ne 0) If correlated(0) ne -1 then begin Cyl(spacing,time)=mean(Cyl_arr(correlated)) Cyt(spacing,time)=mean(Cyt_arr(correlated)) endif else begin Cyl(spacing,time)=0 Cyt(spacing,time)=0 endelse printf,ycor,FORMAT='(%"%f\t%f\t%i")',Cyl(spacing,0),Cyt(spacing,0),N_elements(correlated) endfor endfor free_lun,xcor free_lun,ycor close,xcor close,ycor set_plot,'ps' device,filename=Postscript_dir+'average_cn.ps' loadct,39 ;load color table 39 device,/color ;allow color on the postscript device,ysize=8.5,/inches ;Height of plot in y device,xsize=10.0,/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=.7 !P.THICK=1.2 items_time=['t=0'] sym_time=[1] items_k_tran=['Data Points','n!e-7/32!n','n!e-13/64!n','n!e-27/128!n'] sym_k_tran=[1,0,0,0] line_k_tran=[0,1,2,3] items_k_lon=['Data Points','n!e-1/3!n'] sym_k_long=[0,1] colors_time=[0] ;*************FIRST PLOT !P.multi=[0,1,1] plot,Cxt,psym=1,title="Average Transverse correlation along X direction",$ xtitle="n",ytitle="Covariance",$ background=white,color=black,$ yrange=[min(Cxt)-.5,max(Cxt)+.5],$ POSITION=[0.10,0.10,0.9,0.9] !p.multi=[0,1,1] ;***************SECOND PLOT plot,Cxl,psym=1,title="Average Longitudinal correlation along X direction",$ xtitle="n",ytitle="Covariance (Pixels Squared)",$ background=white,color=black,$ yrange=[min(Cxl)-.5,max(Cxl)+.5],$ POSITION=[0.10,0.10,0.9,0.9] !P.multi=[0,1,1] ;**************THIRD PLOT plot,Cyt,psym=1,title="Average Transverse correlation along Y direction",$ xtitle="n",ytitle="Covariance (Pixels Squared)",$ background=white,color=black,$ yrange=[min(Cyt)-.5,max(Cyt)+.5],$ POSITION=[0.10,0.10,0.9,0.9] ;***************FOURTH PLOT !p.multi=[0,1,1] plot,Cyl,psym=1,title="Average Longitudinal correlation along Y direction",$ xtitle="n",ytitle="Covariance (Pixels Squared)",$ background=white,color=black,$ yrange=[min(Cyl)-.5,max(Cyl)+.5],$ POSITION=[0.10,0.10,0.9,0.9] !p.multi=[0,1,1] fitted=where(x_off_avg ne 0) partvelvec,x_off_avg(fitted),y_off_avg(fitted),$ x_coord_avg(fitted),y_coord_avg(fitted),$ yrange=[100,820],xrange=[180,880],$ background=white,color=black,$ POSITION=[0.10,0.10,0.9,0.9],$ xtitle='x coordinate',ytitle='y coordinate',$ title='Average Offsets' device,/close set_plot,'X' end