;+ ; ; Name: thm_part_slice2d_2di.pro ; ; Purpose: Helper function for thm_part_slice2d.pro ; Produces slice using 2D linear interpolation ; ; Note: This code is meant to preserve the functionality of ; thm_esa_slice2d for the new set of slices routines. ; ;- pro thm_part_slice2d_2di, datapoints, xyz, resolution, $ thetarange=thetarange, zdirrange=zdirrange, $ part_slice=part_slice, $ xgrid=xgrid, ygrid=ygrid, $ fail=fail compile_opt idl2, hidden ;catch common "points colinear" error from triangulate catch, err if err ne 0 then begin catch, /cancel if strmessage(err,/name) eq 'IDL_M_POINTS_COLINEAR' then begin fail = strjoin(['WARNING: 2D Interpolation cannot be used for this data. ', $ ' 3D Interpolation is recommended if the data is free of large gaps in look direction and energy.', $ ' Otherwise use the Geometric method with low resolution (50-150) and smoothing (3-5pts). '],string(10b)) endif else begin message, /reissue_last endelse return endif ; Cut by theta value if keyword_set(thetarange) then begin thetarange = minmax(thetarange) r = sqrt(xyz[*,0]^2 + xyz[*,1]^2 + xyz[*,2]^2) eachangle = asin(xyz[*,2]/r)/!dtor index = where(eachangle le thetarange[1] and eachangle ge thetarange[0], $ count, ncomplement=ncount) if count ne 0 then begin if ncount ne 0 then begin xyz = xyz[index,*] datapoints = datapoints[index] endif endif else begin fail = 'No data points in given theta range' return endelse ;Cut by z-axis value endif else if keyword_set(zdirrange) then begin zdirrange = minmax(zdirrange) index = where(xyz[*,2] ge zdirrange[0] and xyz[*,2] le zdirrange[1], $ count, ncomplement=ncount) if count ne 0 then begin if ncount ne 0 then begin xyz = xyz[index,*] datapoints = datapoints[index] endif endif else begin fail = 'No data points in given Z direction range' return endelse endif ;copy vars, ignoring z comp x = xyz[*,0] y = temporary(xyz[*,1]) ;save mem ; Average duplicate points the long way ; (kept from thm_esa_slice2d)----------------- uni2=uniq(x) uni1=[0,uni2[0:n_elements(uni2)-2]+1] kk=0 for i=0,n_elements(uni2)-1 do begin yi=y[uni1[i]:uni2[i]] xi=x[uni1[i]:uni2[i]] datapointsi=datapoints[uni1[i]:uni2[i]] xi=xi[sort(yi)] datapointsi=datapointsi[sort(yi)] yi=yi[sort(yi)] index2=uniq(yi) if n_elements(index2) eq 1 then begin index1=0 endif else begin index1=[0,index2[0:n_elements(index2)-2]+1] endelse for j=0,n_elements(index2)-1 do begin y[kk]=yi[index1[j]] x[kk]=xi[index1[j]] if index1[j] eq index2[j] then begin datapoints[kk]=datapointsi[index1[j]] endif else begin datapoints_moment=moment(datapointsi[index1[j]:index2[j]]) datapoints[kk]=datapoints_moment[0] endelse kk=kk+1 endfor endfor y=y[0:kk-1] x=x[0:kk-1] datapoints=datapoints[0:kk-1] ; --------------- ; Create triangulation ; triangulate,x,y,tr,b ;testing qhull instead qhull, x, y, tr, /delaunay ; Remove triangles whose total x-y plane velocity is less than ; minimum velocity from distribution (prevents interpolation over ; lower energy limits) index = where( 1./9 * total( x[tr[0:2,*]] ,1 )^2 + $ 1./9 * total( y[tr[0:2,*]] ,1 )^2 $ gt min(x^2+y^2), $ count, ncomplement=ncomp) if count gt 0 then begin if ncomp gt 0 then begin tr=tr[*,index] endif endif else begin fail = 'Unknown error in triangulation; cannot interpolate data.' return endelse ; Set spacing xmax = max(abs([y,x])) xrange = [-1*xmax,xmax] spacing = (xrange[1]-xrange[0])/(resolution-1) ; Interpolate to regular grid (slice data) part_slice = trigrid(x,y,datapoints,tr,[spacing,spacing], $ [xrange[0],xrange[0],xrange[1],xrange[1]], $ xgrid = xgrid,ygrid = ygrid ) end