source: sans/Dev/trunk/NCNR_User_Procedures/Analysis/Models/NewModels_2008/ConvexLens_v40.ipf @ 449

#pragma rtGlobals=1             // Use modern global access method.
#pragma IgorVersion = 6.0

////////////////////////////////////////////////////
//
// calculates the scattering of a convex lens.
//
// a double integral is used, both using Gaussian quadrature
// routines that are now included with GaussUtils
//
// 76 point quadrature is necessary for both quadrature calls.
//
//
// REFERENCE:
//              H. Kaya, J. Appl. Cryst. (2004) 37, 223-230.
//              H. Kaya and N-R deSouza, J. Appl. Cryst. (2004) 37, 508-509. (addenda and errata)
//
////////////////////////////////////////////////////

//this macro sets up all the necessary parameters and waves that are
//needed to calculate the model function.
//
Proc PlotConvexLens(num,qmin,qmax)
        Variable num=100, qmin=.001, qmax=.7
        Prompt num "Enter number of data points for model: "
        Prompt qmin "Enter minimum q-value (^1) for model: " 
        Prompt qmax "Enter maximum q-value (^1) for model: "
        //
        Make/O/D/n=(num) xwave_ConvLens, ywave_ConvLens
        xwave_ConvLens =  alog(log(qmin) + x*((log(qmax)-log(qmin))/num))
        Make/O/D coef_ConvLens = {1,20,40,1e-6,6.3e-6,0}                        //CH#2
        make/o/t parameters_ConvLens = {"Scale Factor","cylinder radius rc (A)","end cap radius R >= rc (A)","SLD cylinder (A^-2)","SLD solvent (A^-2)","Incoherent Bgd (cm-1)"}        //CH#3
        Edit parameters_ConvLens, coef_ConvLens
        
        Variable/G root:g_ConvLens
        g_ConvLens := ConvexLens(coef_ConvLens, ywave_ConvLens, xwave_ConvLens)
        Display ywave_ConvLens vs xwave_ConvLens
        ModifyGraph marker=29, msize=2, mode=4
        ModifyGraph log=1
        Label bottom "q (A\\S-1\\M)"
        Label left "I(q) (cm\\S-1\\M)"
        AutoPositionWindow/M=1/R=$(WinName(0,1)) $WinName(0,2)
        
        AddModelToStrings("ConvexLens","coef_ConvLens","ConvLens")
//
End


// - sets up a dependency to a wrapper, not the actual SmearedModelFunction
Proc PlotSmearedConvexLens(str)                                                         
        String str
        Prompt str,"Pick the data folder containing the resolution you want",popup,getAList(4)
        
        // if any of the resolution waves are missing => abort
        if(ResolutionWavesMissingDF(str))               //updated to NOT use global strings (in GaussUtils)
                Abort
        endif
        
        SetDataFolder $("root:"+str)
        
        // Setup parameter table for model function
        Make/O/D smear_coef_ConvLens = {1,20,40,1e-6,6.3e-6,0}          //CH#4
        make/o/t smear_parameters_ConvLens = {"Scale Factor","cylinder radius rc (A)","end cap radius R >= rc (A)","SLD cylinder (A^-2)","SLD solvent (A^-2)","Incoherent Bgd (cm-1)"}
        Edit smear_parameters_ConvLens,smear_coef_ConvLens                                      //display parameters in a table
        
        // output smeared intensity wave, dimensions are identical to experimental QSIG values
        // make extra copy of experimental q-values for easy plotting
        Duplicate/O $(str+"_q") smeared_ConvLens,smeared_qvals                          //
        SetScale d,0,0,"1/cm",smeared_ConvLens                                                  //
                                        
        Variable/G gs_ConvLens=0
        gs_ConvLens := fSmearedConvexLens(smear_coef_ConvLens,smeared_ConvLens,smeared_qvals)   //this wrapper fills the STRUCT
        
        Display smeared_ConvLens vs smeared_qvals                                                                       //
        ModifyGraph log=1,marker=29,msize=2,mode=4
        Label bottom "q (A\\S-1\\M)"
        Label left "I(q) (cm\\S-1\\M)"
        AutoPositionWindow/M=1/R=$(WinName(0,1)) $WinName(0,2)
        
        SetDataFolder root:
        AddModelToStrings("SmearedConvexLens","smear_coef_ConvLens","ConvLens")
End

        

//AAO version, uses XOP if available
// simply calls the original single point calculation with
// a wave assignment (this will behave nicely if given point ranges)
Function ConvexLens(cw,yw,xw) : FitFunc
        Wave cw,yw,xw
        
#if exists("ConvexLensX")
        yw = ConvexLensX(cw,xw)
#else
        yw = fConvexLens(cw,xw)
#endif
        return(0)
End

//
// - a double integral - choose points wisely - 76 for both...
//
Function fConvexLens(w,x) : FitFunc
        Wave w
        Variable x
//       Input (fitting) variables are:
        //[0] scale factor
        //[1] cylinder radius (little r)
        //[2] cylinder length (big L)
        //[3] end cap radius (big R)
        //[4] sld cylinder (A^-2)
        //[5] sld solvent
        //[6] incoherent background (cm^-1)
//      give them nice names
        Variable scale,contr,bkg,inten,sldc,slds
        Variable len,rad,hDist,endRad
        scale = w[0]
        rad = w[1]
//      len = w[2]
        endRad = w[3]
        sldc = w[4]
        slds = w[5]
        bkg = w[6]

        hDist = -1*sqrt(abs(endRad^2-rad^2))

        Make/O/D/N=7 CLens_tmp
        CLens_tmp[0] = w[0]
        CLens_tmp[1] = w[1]
        CLens_tmp[2] = 0.01             //length is some small number, essentially zero
        CLens_tmp[3] = w[2]
        CLens_tmp[4] = w[3]
        CLens_tmp[5] = w[4]
        CLens_tmp[6] = w[5]
                
        contr = sldc-slds
        
        Variable/G root:gDumTheta=0,root:gDumT=0
        
        inten = IntegrateFn76(ConvLens_Outer,0,pi/2,CLens_tmp,x)
        
        Variable hh=abs(hDist)          //need positive value for spherical cap volume
        inten /= 2*(1/3*pi*(endRad-hh)^2*(2*endRad+hh))         //divide by volume
        inten *= 1e8            //convert to cm^-1
        inten *= contr*contr
        inten *= scale
        inten += bkg
        
        Return (inten)
End

// outer integral
// x is the q-value
Function ConvLens_Outer(w,x,dum)
        Wave w
        Variable x,dum
        
        Variable retVal
        Variable scale,contr,bkg,inten,sldc,slds
        Variable len,rad,hDist,endRad
        scale = w[0]
        rad = w[1]
        len = w[2]
        endRad = w[3]
        sldc = w[4]
        slds = w[5]
        bkg = w[6]
        
        hDist = -1*sqrt(abs(endRad^2-rad^2))
                        
        NVAR dTheta = root:gDumTheta
        NVAR dt = root:gDumT
        dTheta = dum
        retval = IntegrateFn76(ConvLens_Inner,-hDist/endRad,1,w,x)
        
        Variable arg1,arg2
        arg1 = x*len/2*cos(dum)
        arg2 = x*rad*sin(dum)
        
        retVal += pi*rad*rad*len*sinc(arg1)*2*Besselj(1, arg2)/arg2
        
        retVal *= retval*sin(dum)               // = |A(q)|^2*sin(theta)
        
        return(retVal)
End

//returns the value of the integrand of the inner integral
Function ConvLens_Inner(w,x,dum)
        Wave w
        Variable x,dum
        
        Variable retVal
        Variable scale,contr,bkg,inten,sldc,slds
        Variable len,rad,hDist,endRad
        scale = w[0]
        rad = w[1]
        len = w[2]
        endRad = w[3]
        sldc = w[4]
        slds = w[5]
        bkg = w[6]
        
        NVAR dTheta = root:gDumTheta
        NVAR dt = root:gDumT
        dt = dum
        
        retVal = ConvLens(w,x,dt,dTheta)
        
        retVal *= 4*pi*endRad^3
        
        return(retVal)
End

Function ConvLens(w,x,tt,Theta)
        Wave w
        Variable x,tt,Theta
        
        Variable val,arg1,arg2
        Variable scale,contr,bkg,inten,sldc,slds
        Variable len,rad,hDist,endRad
        scale = w[0]
        rad = w[1]
        len = w[2]
        endRad = w[3]
        sldc = w[4]
        slds = w[5]
        bkg = w[6]

        hDist = -1*sqrt(abs(endRad^2-rad^2))
                
        arg1 = x*cos(theta)*(endRad*tt+hDist+len/2)
        arg2 = x*endRad*sin(theta)*sqrt(1-tt*tt)
        
        val = cos(arg1)*(1-tt*tt)*Besselj(1,arg2)/arg2
        
        return(val)
end

//wrapper to calculate the smeared model as an AAO-Struct
// fills the struct and calls the ususal function with the STRUCT parameter
//
// used only for the dependency, not for fitting
//
Function fSmearedConvexLens(coefW,yW,xW)
        Wave coefW,yW,xW
        
        String str = getWavesDataFolder(yW,0)
        String DF="root:"+str+":"
        
        WAVE resW = $(DF+str+"_res")
        
        STRUCT ResSmearAAOStruct fs
        WAVE fs.coefW = coefW   
        WAVE fs.yW = yW
        WAVE fs.xW = xW
        WAVE fs.resW = resW
        
        Variable err
        err = SmearedConvexLens(fs)
        
        return (0)
End
                
// this is all there is to the smeared calculation!
//
// 20 points should be fine here. This function is not much different than cylinders, where 20 is sufficient
Function SmearedConvexLens(s) :FitFunc
        Struct ResSmearAAOStruct &s

//      the name of your unsmeared model (AAO) is the first argument
        Smear_Model_20(ConvexLens,s.coefW,s.xW,s.yW,s.resW)

        return(0)
End