PROGRAM mtest IMPLICIT NONE write(*,*)'SUBROUTINE G_Functions:' SUBROUTINE G_Functions(G1,G2,tau) c ================================= c Diese Routine gibt in Abhaengigkeit von der reduzierten Dicke 'tau' c Funktionswerte fuer g1 und g2 zurueck. g1 und g2 sind dabei die von c Meyer angegebenen tabellierten Funktionen fuer die Berechnung von Halbwerts- c breiten von Streuwinkelverteilungen. (L.Meyer, phys.stat.sol. (b) 44, 253 c (1971)) IMPLICIT NONE real tau,g1,g2 real tau_(26),g1_(26),g2_(26) real help integer i DATA tau_ /0.2, 0.4, 0.6, 0.8, 1.0, 1.2, 1.4, 1.6, 1.8, 2.0, + 2.5, 3.0, 3.5, 4.0, 4.5, 5.0, 6.0, 7.0, 8.0, 9.0, + 10.0, 12.0, 14.0, 16.0, 18.0, 20.0 / DATA g1_ /0.050,0.115,0.183,0.245,0.305,0.363,0.419,0.473,0.525,0.575, + 0.689,0.799,0.905,1.010,1.100,1.190,1.370,1.540,1.700,1.850, + 1.990,2.270,2.540,2.800,3.050,3.290 / DATA g2_ / 0.00,1.25,0.91,0.79,0.73,0.69,0.65,0.63,0.61,0.59, + 0.56,0.53,0.50,0.47,0.45,0.43,0.40,0.37,0.34,0.32, + 0.30,0.26,0.22,0.18,0.15,0.13 / if (tau.LT.tau_(1)) then write(*,*) write(*,*)'SUBROUTINE G_Functions:' write(*,*)' Fehler bei Berechnung der g-Funktionen fuer Winkelaufstreuung:' write(*,*)' aktuelles tau ist kleiner als kleinster Tabellenwert:' write(*,*)' tau = ',tau write(*,*)' tau_(1) = ',tau_(1) write(*,*) STOP endif i = 1 10 i = i + 1 if (i.EQ.27) then write(*,*) write(*,*)'SUBROUTINE G_Functions:' write(*,*)' Fehler bei Berechnung der g-Funktionen fuer Winkelaufstreuung:' write(*,*)' aktuelles tau ist groesser als groesster Tabellenwert:' write(*,*)' tau = ',tau write(*,*)' tau_(26) = ',tau_(26) write(*,*) STOP elseif (tau.gt.tau_(i)) then goto 10 endif c lineare Interpolation zwischen Tabellenwerten: help = (tau-tau_(i-1))/(tau_(i)-tau_(i-1)) g1 = g1_(i-1) + help*(g1_(i)-g1_(i-1)) g2 = g2_(i-1) + help*(g2_(i)-g2_(i-1)) END c=============================================================================== options /extend_source subroutine Get_F_Function_Meyer(tau,Ekin) c ========================================= implicit none real tau real Ekin real thetaSchlange,thetaSchlangeMax real theta,thetaMax,thetaStep real f1,f2,F c------------------------------------ c - Parameter: real Z1, Z2 ! die atomaren Nummern von Projektil und Target c real a0 ! Bohrscher Radius in cm real screeningPar ! Screeningparameter 'a' in cm fuer Teilchen der ! Kernladungszahl Z1=1 in Kohlenstoff (Z2 = 6) ! bei Streichung von Z1 (vgl. Referenz, S. 268) real r0Meyer ! r0(C) berechnet aus dem screeningParameter 'a' ! und dem ebenfalls bei Meyer angegebenem ! Verhaeltnis a/r0=0.26 (vgl. Referenz, S. 263 oben) real eSquare ! elektrische Ladung zum Quadrat in keV*cm real Pi ! die Kreiszahl c parameter (a0 = 5.29E-9) parameter (Z1 = 1, Z2 = 6, ScreeningPar = 2.5764E-9) parameter (r0Meyer = 9.909E-9, eSquare = 1.44E-10) parameter (Pi = 3.141592654) real Meyer_Faktor3 real Meyer_Faktor4 real zzz ! 'Hilfsparameter' real Meyer_Faktor5 parameter (Meyer_faktor3 = (screeningPar/r0Meyer) * (screeningPar/r0Meyer)) parameter (Meyer_faktor4 = screeningPar / (2.*Z1*Z2*eSquare) * Pi/180.) parameter (zzz = screeningPar / (2.*Z1*Z2*eSquare)) parameter (Meyer_faktor5 = zzz*zzz / (8*Pi*Pi)) c------------------------------------ integer nBin,nBinMax parameter (nBinMax=201) real value(0:nBinMax) /0.,nBinMax*0./ real area(nBinMax) / nBinMax*0./ real integ(0:nBinMax) /0.,nBinMax*0./ common /MeyerTable/ value,area,integ,thetaStep,nBin integer i real rhelp integer HB_memsize parameter(HB_memsize=500000) real memory(HB_memsize) COMMON /PAWC/ memory c nur noch fuer Testzwecke: real fValues(203) real fValuesFolded(203) integer idh parameter (idh = 50) INCLUDE 'mutrack$sourcedirectory:COM_DIRS.INC' character filename*20 ! Name der Ausgabe-Dateien COMMON /filename/ filename c------------------------------------------------------------------------------- c Festlegen des maximalen Theta-Wertes sowie der Schrittweite: if (tau.LT.0.2) then write(*,*) 'Subroutine ''Get_F_Function_Meyer'':' write(*,*) 'Effektive Dicke ist kleiner als 0.2 => kann ich nicht ... => STOP' call exit elseif (tau.LE.2.) then ! => Tabelle A thetaSchlangeMax = 4.0 elseif (tau.LE.8.) then ! => Tabelle B thetaSchlangeMax = 7.0 elseif (tau.LE.20.) then ! => Tabelle C thetaSchlangeMax = 20.0 else write(*,*) 'Subroutine ''Get_F_Function_Meyer'':' write(*,*) 'Effektive Dicke ist groesser als 20 => kann ich nicht ... => STOP' call exit endif thetaMax = thetaSchlangeMax / Meyer_Faktor4 / Ekin if (thetaMax.GT.50) then thetaStep = .5 elseif (thetaMax.GT.25) then thetaStep = .25 elseif (thetaMax.GT.12.5) then thetaStep = .125 else thetaStep = .0625 endif c Tabelle der F-Werte erstellen: nBin = 0 do theta = thetaStep, thetaMax, thetaStep ! Berechne aus theta das 'reduzierte' thetaSchlange (dabei gleich ! noch von degree bei theta in Radiant bei thetaSchlange umrechnen): thetaSchlange = Meyer_faktor4 * Ekin * theta ! Auslesen der Tabellenwerte fuer die f-Funktionen: call F_Functions_Meyer(tau,thetaSchlange,f1,f2) if (thetaSchlange.EQ.-1) then ! wir sind jenseits von thetaSchlangeMax goto 10 endif ! Berechnen der Streuintensitaet: F = Meyer_faktor5 * Ekin*Ekin * (f1 - Meyer_faktor3*f2) nBin = nBin + 1 if (nBin.GT.nBinMax) then write(*,*) 'nBin > nBinMax => EXIT' call exit endif value(nBin) = sind(theta)*F fValues(nBin+1) = F ! fuer Testzwecke fValuesFolded(nBin+1) = sind(theta)*F ! fuer Testzwecke enddo c Berechnen der Flaecheninhalte der einzelnen Kanaele sowie der Integrale: 10 do i = 1, nBin area(i) = (value(i)+value(i-1))/2. * thetaStep integ(i) = integ(i-1) + area(i) enddo c Normiere totale Flaeche auf 1: rHelp = integ(nBin) do i = 1, nBin value(i) = value(i) / rHelp area(i) = area(i) / rHelp integ(i) = integ(i) / rHelp enddo c vorerst noch: gib Tabelle in Datei und Histogrammfile aus: ! Berechne die Werte fuer theta=0: call F_Functions_Meyer(tau,0.,f1,f2) F = Meyer_faktor5 * Ekin*Ekin * (f1 - Meyer_faktor3*f2) fValues(1) = F fValuesFolded(1) = 0. ! Gib die Werte in das Tabellenfile aus: c theta = 0. c open (10,file=outDir//':'//filename//'.TAB',status='NEW') c do i = 1, nBin+1 c write(10,*) theta, fValues(i), fValuesFolded(i) c theta = theta + thetaStep c enddo c close (10) ! Buchen und Fuellen der Histogramme: call HBOOK1(idh,'F',nBin+1,-0.5*thetaStep,(real(nBin)+0.5)*thetaStep,0.) call HPAK(idh,fValues) call HRPUT(idh,outDir//':'//filename//'.RZ','N') call HDELET(idh) call HBOOK1(idh+1,'F*sin([q])',nBin+1,-0.5*thetaStep,(real(nBin)+0.5)*thetaStep,0.) call HPAK(idh+1,fValuesFolded) call HRPUT(idh+1,outDir//':'//filename//'.RZ','U') call HDELET(idh+1) END c=============================================================================== options /extend_source subroutine throwMeyerAngle (theta) c ================================== implicit none real lowerbound,y1,y2,f,root,radiant,fraction integer bin,nBin integer nBinMax parameter (nBinMax=201) real theta,thetaStep real value(0:nBinMax) /0.,nBinMax*0./ real area(nBinMax) / nBinMax*0./ real integ(0:nBinMax) /0.,nBinMax*0./ common /MeyerTable/ value,area,integ,thetaStep,nBin real rhelp real random integer seed common /seed/ seed c bin: Nummer des Bins, innerhalb dessen das Integral den Wert von c random erreicht oder ueberschreitet: random = ran(seed) bin = 1 do while (random.GT.integ(bin)) bin = bin + 1 if (bin.GT.nBin) then write(*,*) 'error 1' call exit endif enddo fraction = (random-integ(bin-1)) / (integ(bin)-integ(bin-1)) y1 = value(bin-1) y2 = value(bin) f = thetaStep / (y2-y1) rHelp = y1*f radiant = rHelp*rHelp + fraction*thetaStep*(y1+y2)*f root = SQRT(radiant) lowerBound = real(bin-1)*thetaStep if (f.GT.0) then theta = lowerBound - rHelp + root else theta = lowerBound - rHelp - root endif END c=============================================================================== options /extend_source subroutine F_Functions_Meyer(tau,thetaSchlange,f1,f2) c ===================================================== implicit none c Diese Routine gibt in Abhaengigkeit von 'thetaSchlange' und 'tau' c Funktionswerte fuer f1 und f2 zurueck. f1 und f2 entsprechen dabei den c bei Meyer angegebenen Funktion gleichen Namens. Die in dieser Routine c verwendeten Tabellen sind eben dieser Referenz entnommen: c L.Meyer, phys.stat.sol. (b) 44, 253 (1971) real tau,thetaSchlange real f1, f2, f1_(2), f2_(2) integer column_,column,row integer iColumn real weightCol, weightRow c------------------------------------------------------------------------------- c die Tabellendaten der Referenz (Tabellen 2 und 3): integer nColumn parameter (nColumn = 25) real tau_(nColumn) / + 0.2, 0.4, 0.6, 0.8, 1.0, 1.2, 1.4, 1.6, 1.8, 2.0, 2.5, 3.0, + 3.5, 4.0, 4.5, 5.0, 6.0, 7.0, 8.0, 10., 12., 14., 16., 18., 20. / integer nRowA parameter (nRowA = 25) real thetaSchlangeA(nRowA) / + .00, .05, .10, .15, .20, .25, .30, .35, .40, .45, .50, .60, + .70, .80, .90, 1.0, 1.2, 1.4, 1.6, 1.8, 2.0, 2.5, 3.0, 3.5, 4.0 / integer nRowB parameter (nRowB = 24) real thetaSchlangeB(nRowB) / + 0.0, 0.2, 0.4, 0.5, 0.6, 0.8, 1.0, 1.2, 1.4, 1.5, 1.6, 1.8, + 2.0, 2.2, 2.4, 2.6, 2.8, 3.0, 3.5, 4.0, 4.5, 5.0, 6.0, 7.0 / integer nRowC parameter (nRowC = 24) real thetaSchlangeC(nRowC) / + 0.0, 0.5, 1.0, 1.5, 2.0, 2.5, 3.0, 3.5, 4.0, 4.5, 5.0, 6.0, + 7.0, 8.0, 9.0, 10., 11., 12., 13., 14., 15., 16., 18., 20. / real f1_A(9,nRowA) + /1.69E+2,4.55E+1,2.11E+1,1.25E+1,8.48E+0,6.21E+0,4.80E+0,3.86E+0,3.20E+0, + 9.82E+1,3.72E+1,1.97E+1,1.20E+1,8.27E+0,6.11E+0,4.74E+0,3.83E+0,3.17E+0, + 3.96E+1,2.58E+1,1.65E+1,1.09E+1,7.73E+0,5.82E+0,4.58E+0,3.72E+0,3.10E+0, + 1.76E+1,1.58E+1,1.27E+1,9.26E+0,6.93E+0,5.38E+0,4.31E+0,3.55E+0,2.99E+0, + 8.62E+0,1.01E+1,9.45E+0,7.58E+0,6.02E+0,4.85E+0,3.98E+0,3.33E+0,2.84E+0, + 4.65E+0,6.55E+0,6.91E+0,6.06E+0,5.11E+0,4.28E+0,3.62E+0,3.08E+0,2.66E+0, + 2.74E+0,4.45E+0,5.03E+0,4.78E+0,4.27E+0,3.72E+0,3.23E+0,2.82E+0,2.47E+0, + 1.77E+0,3.02E+0,3.71E+0,3.76E+0,3.53E+0,3.20E+0,2.86E+0,2.55E+0,2.27E+0, + 1.22E+0,2.19E+0,2.78E+0,2.96E+0,2.91E+0,2.73E+0,2.51E+0,2.28E+0,2.07E+0, + 8.82E-1,1.59E+0,2.12E+0,2.35E+0,2.39E+0,2.32E+0,2.19E+0,2.03E+0,1.87E+0, + 6.55E-1,1.20E+0,1.64E+0,1.88E+0,1.97E+0,1.96E+0,1.90E+0,1.79E+0,1.68E+0, + 3.80E-1,7.15E-1,1.01E+0,1.22E+0,1.35E+0,1.40E+0,1.41E+0,1.39E+0,1.34E+0, + 2.26E-1,4.45E-1,6.44E-1,8.08E-1,9.28E-1,1.01E+0,1.05E+0,1.06E+0,1.05E+0, + 1.39E-1,2.80E-1,4.21E-1,5.45E-1,6.46E-1,7.22E-1,7.75E-1,8.07E-1,8.21E-1, + 8.22E-2,1.76E-1,2.78E-1,3.71E-1,4.53E-1,5.21E-1,5.74E-1,6.12E-1,6.37E-1, + 5.04E-2,1.11E-1,1.86E-1,2.57E-1,3.22E-1,3.79E-1,4.27E-1,4.65E-1,4.94E-1, + 2.51E-2,5.60E-2,9.24E-2,1.31E-1,1.69E-1,2.02E-1,2.40E-1,2.71E-1,2.97E-1, + 1.52E-2,3.20E-2,5.08E-2,7.23E-2,9.51E-2,1.18E-1,1.41E-1,1.63E-1,1.83E-1, + 1.03E-2,2.05E-2,3.22E-2,4.55E-2,6.01E-2,7.53E-2,9.02E-2,1.05E-1,1.19E-1, + 8.80E-3,1.48E-2,2.25E-2,3.13E-2,4.01E-2,5.03E-2,6.01E-2,7.01E-2,8.01E-2, + 6.10E-3,1.15E-2,1.71E-2,2.28E-2,2.89E-2,3.52E-2,4.18E-2,4.86E-2,5.55E-2, + 0.00 ,0.00 ,0.00 ,0.00 ,0.00 ,1.71E-2,1.98E-2,2.28E-2,2.58E-2, + 0.00 ,0.00 ,0.00 ,0.00 ,0.00 ,8.90E-3,1.02E-2,1.16E-2,1.31E-2, + 0.00 ,0.00 ,0.00 ,0.00 ,0.00 ,4.90E-3,5.70E-3,6.40E-3,7.20E-3, + 0.00 ,0.00 ,0.00 ,0.00 ,0.00 ,2.90E-3,3.40E-3,3.90E-3,4.30E-3/ real f1_B(9,nRowB) + /2.71E+0,1.92E+0,1.46E+0,1.16E+0,9.52E-1,8.03E-1,6.90E-1,5.32E-1,4.28E-1, + 2.45E+0,1.79E+0,1.39E+0,1.12E+0,9.23E-1,7.82E-1,6.75E-1,5.23E-1,4.23E-1, + 1.87E+0,1.48E+0,1.20E+0,9.96E-1,8.42E-1,7.24E-1,6.32E-1,4.98E-1,4.07E-1, + 1.56E+0,1.30E+0,1.09E+0,9.19E-1,7.89E-1,6.86E-1,6.03E-1,4.80E-1,3.95E-1, + 1.28E+0,1.11E+0,9.62E-1,8.33E-1,7.27E-1,6.40E-1,5.69E-1,4.59E-1,3.81E-1, + 8.23E-1,7.90E-1,7.29E-1,6.64E-1,6.01E-1,5.44E-1,4.94E-1,4.12E-1,3.49E-1, + 5.14E-1,5.36E-1,5.29E-1,5.07E-1,4.78E-1,4.47E-1,4.16E-1,3.60E-1,3.13E-1, + 3.19E-1,3.58E-1,3.76E-1,3.78E-1,3.70E-1,3.57E-1,3.45E-1,3.08E-1,2.76E-1, + 2.02E-1,2.40E-1,2.64E-1,2.77E-1,2.82E-1,2.80E-1,2.65E-1,2.59E-1,2.39E-1, + 1.67E-1,1.96E-1,2.20E-1,2.36E-1,2.44E-1,2.47E-1,2.45E-1,2.35E-1,2.21E-1, + 1.33E-1,1.61E-1,1.85E-1,2.02E-1,2.12E-1,2.18E-1,2.18E-1,2.14E-1,2.03E-1, + 8.99E-2,1.12E-1,1.32E-1,1.48E-1,1.59E-1,1.67E-1,1.68E-1,1.75E-1,1.72E-1, + 6.24E-2,7.94E-2,9.50E-2,1.09E-1,1.20E-1,1.29E-1,1.35E-1,1.42E-1,1.43E-1, + 4.55E-2,5.74E-2,6.98E-2,8.11E-2,9.09E-2,9.92E-2,1.06E-1,1.15E-1,1.19E-1, + 3.35E-2,4.22E-2,5.19E-2,6.11E-2,6.95E-2,7.69E-2,8.33E-2,9.28E-2,9.85E-2, + 2.50E-2,3.16E-2,3.92E-2,4.66E-2,5.35E-2,6.00E-2,6.57E-2,7.49E-2,8.13E-2, + 1.90E-2,2.40E-2,2.99E-2,3.58E-2,4.16E-2,4.70E-2,5.20E-2,6.05E-2,6.70E-2, + 1.47E-2,1.86E-2,2.32E-2,2.79E-2,3.25E-2,3.70E-2,4.12E-2,4.89E-2,5.51E-2, + 8.10E-3,1.04E-2,1.30E-2,1.57E-2,1.84E-2,2.12E-2,2.40E-2,2.93E-2,3.42E-2, + 4.80E-3,6.20E-3,7.70E-3,9.30E-3,1.09E-2,1.26E-2,1.44E-2,1.79E-2,2.14E-2, + 2.80E-3,3.80E-3,4.70E-3,5.70E-3,6.70E-3,7.50E-3,8.90E-3,1.13E-2,1.36E-2, + 1.70E-3,2.30E-3,2.90E-3,3.60E-3,4.20E-3,4.90E-3,5.60E-3,7.20E-3,8.80E-3, + 0.00 ,0.00 ,0.00 ,0.00 ,0.00 ,0.00 ,2.00E-3,2.80E-3,3.50E-3, + 0.00 ,0.00 ,0.00 ,0.00 ,0.00 ,0.00 ,8.80E-4,1.20E-3,1.60E-3/ real f1_C(7,nRowC) + /3.65E-1,2.62E-1,2.05E-1,1.67E-1,1.41E-1,1.21E-1,1.05E-1, + 3.33E-1,2.50E-1,1.95E-1,1.61E-1,1.36E-1,1.18E-1,1.03E-1, + 2.75E-1,2.18E-1,1.76E-1,1.48E-1,1.27E-1,1.11E-1,9.80E-2, + 2.04E-1,1.75E-1,1.50E-1,1.29E-1,1.13E-1,1.01E-1,9.00E-2, + 1.41E-1,1.31E-1,1.19E-1,1.08E-1,9.71E-2,8.88E-2,8.01E-2, + 9.32E-2,9.42E-2,9.10E-2,8.75E-2,8.00E-2,7.44E-2,6.91E-2, + 5.98E-2,6.52E-2,6.72E-2,6.62E-2,6.40E-2,6.12E-2,5.82E-2, + 3.83E-2,4.45E-2,4.80E-2,4.96E-2,4.98E-2,4.90E-2,4.77E-2, + 2.46E-2,3.01E-2,3.40E-2,3.65E-2,3.79E-2,3.84E-2,3.83E-2, + 1.59E-2,2.03E-2,2.39E-2,2.66E-2,2.85E-2,2.97E-2,3.04E-2, + 1.04E-2,1.37E-2,1.66E-2,1.92E-2,2.12E-2,2.27E-2,2.37E-2, + 4.39E-3,6.26E-3,8.26E-3,9.96E-3,1.15E-2,1.29E-2,1.41E-2, + 2.06E-3,3.02E-3,4.24E-3,5.28E-3,6.32E-3,7.32E-3,8.26E-3, + 1.21E-3,1.69E-3,2.24E-3,2.85E-3,3.50E-3,4.16E-3,4.82E-3, + 8.50E-4,1.10E-3,1.38E-3,1.65E-3,2.03E-3,2.45E-3,2.88E-3, + 5.90E-4,7.40E-4,8.50E-4,9.90E-4,1.23E-3,1.49E-3,1.71E-3, + 3.90E-4,4.60E-4,5.20E-4,6.30E-4,7.65E-4,9.65E-4,1.12E-3, + 2.40E-4,2.70E-4,3.10E-4,3.98E-4,4.97E-4,6.03E-4,7.18E-4, + 1.50E-4,1.70E-4,2.15E-4,2.70E-4,3.35E-4,4.35E-4,5.00E-4, + 1.00E-4,1.20E-4,1.46E-4,1.90E-4,2.40E-4,2.88E-4,3.43E-4, + 0.00 ,0.00 ,1.04E-4,1.41E-4,1.80E-4,2.10E-4,2.50E-4, + 0.00 ,0.00 ,8.20E-5,1.06E-4,1.38E-4,1.58E-4,1.85E-4, + 0.00 ,0.00 ,5.40E-5,7.00E-5,8.60E-5,1.03E-4,1.20E-4, + 0.00 ,0.00 ,4.20E-5,5.40E-5,6.50E-5,7.70E-5,8.80E-5/ real f2_A(9,nRowA) + / 3.52E+3, 3.27E+2, 9.08E+1, 3.85E+1, 2.00E+1, 1.18E+1, 7.55E+0, 5.16E+0, 3.71E+0, + 2.58E+2, 1.63E+2, 7.30E+1, 3.42E+1, 1.85E+1, 1.11E+1, 7.18E+0, 4.96E+0, 3.59E+0, + -1.12E+2, 4.84E+0, 3.56E+1, 2.34E+1, 1.45E+1, 9.33E+0, 6.37E+0, 4.51E+0, 3.32E+0, + -5.60E+1,-1.12E+1, 9.87E+0, 1.24E+1, 9.59E+0, 7.01E+0, 5.16E+0, 3.83E+0, 2.91E+0, + -2.13E+1,-1.22E+1,-2.23E+0, 3.88E+0, 5.15E+0, 4.65E+0, 3.87E+0, 3.12E+0, 2.45E+0, + -8.25E+0,-9.58E+0,-5.59E+0,-1.40E+0, 1.76E+0, 2.71E+0, 2.71E+0, 2.35E+0, 1.95E+0, + -3.22E+0,-6.12E+0,-5.28E+0,-2.87E+0,-1.92E-1, 1.32E+0, 1.69E+0, 1.74E+0, 1.48E+0, + -1.11E+0,-3.40E+0,-4.12E+0,-3.08E+0,-6.30E-1, 3.60E-1, 9.20E-1, 1.03E+0, 1.04E+0, + -2.27E-1,-2.00E+0,-2.93E+0,-2.69E+0,-1.48E+0,-3.14E-1, 2.69E-1, 5.28E-1, 6.09E-1, + 1.54E-1,-1.09E+0,-2.10E+0,-2.15E+0,-1.47E+0,-6.77E-1,-1.80E-1, 1.08E-1, 2.70E-1, + 3.28E-1,-6.30E-1,-1.50E+0,-1.68E+0,-1.34E+0,-8.43E-1,-4.60E-1,-1.85E-1,-4.67E-3, + 3.32E-1,-2.06E-1,-7.32E-1,-9.90E-1,-9.42E-1,-8.20E-1,-6.06E-1,-4.51E-1,-3.01E-1, + 2.72E-1,-3.34E-2,-3.49E-1,-5.65E-1,-6.03E-1,-5.79E-1,-5.05E-1,-4.31E-1,-3.45E-1, + 2.02E-1, 2.80E-2,-1.54E-1,-3.00E-1,-3.59E-1,-3.76E-1,-4.60E-1,-3.40E-1,-3.08E-1, + 1.38E-1, 4.84E-2,-5.56E-2,-1.44E-1,-2.04E-1,-2.39E-1,-2.54E-1,-2.49E-1,-2.48E-1, + 9.47E-2, 4.86E-2,-1.08E-2,-6.44E-2,-1.02E-1,-1.34E-1,-1.62E-1,-1.79E-1,-1.87E-1, + 5.33E-2, 3.71E-2, 1.85E-2, 1.63E-3,-1.69E-2,-3.69E-2,-5.66E-2,-7.78E-2,-9.33E-2, + 3.38E-2, 2.40E-2, 1.62E-2, 9.90E-3, 3.76E-3,-4.93E-3,-1.66E-2,-3.05E-2,-4.22E-2, + 2.12E-2, 1.56E-2, 1.05E-2, 7.80E-3, 7.92E-3, 6.30E-3, 3.20E-4,-8.50E-3,-1.66E-2, + 1.40E-2, 9.20E-3, 5.30E-3, 4.70E-3, 6.31E-3, 8.40E-3, 5.30E-3, 8.80E-4,-3.30E-3, + 9.20E-3, 4.70E-3, 1.70E-3, 2.60E-3, 4.49E-3, 6.60E-3, 6.00E-3, 4.70E-3, 2.80E-3, + 0.00 , 0.00 , 0.00 , 0.00 , 0.00 , 0.00 , 0.00 , 0.00 , 0.00 , + 0.00 , 0.00 , 0.00 , 0.00 , 0.00 , 0.00 , 0.00 , 0.00 , 0.00 , + 0.00 , 0.00 , 0.00 , 0.00 , 0.00 , 0.00 , 0.00 , 0.00 , 0.00 , + 0.00 , 0.00 , 0.00 , 0.00 , 0.00 , 0.00 , 0.00 , 0.00 , 0.00 / real f2_B(9,nRowB) + / 2.75E+0, 1.94E+0, 9.13E-1, 6.06E-1, 4.26E-1, 3.14E-1, 2.40E-1, 1.51E-1, 1.03E-1, + 1.94E+0, 1.16E+0, 7.56E-1, 5.26E-1, 3.81E-1, 2.87E-1, 2.23E-1, 1.43E-1, 9.78E-2, + 5.85E-1, 5.04E-1, 4.10E-1, 3.30E-1, 2.69E-1, 2.17E-1, 1.78E-1, 1.22E-1, 8.71E-2, + 7.83E-2, 2.00E-1, 2.35E-1, 2.19E-1, 1.97E-1, 1.73E-1, 1.48E-1, 1.08E-1, 7.93E-2, + -1.82E-1, 1.56E-2, 1.04E-1, 1.36E-1, 1.38E-1, 1.31E-1, 1.19E-1, 9.46E-2, 7.19E-2, + -2.71E-1,-1.66E-1,-7.29E-2,-4.74E-3, 3.60E-2, 5.50E-2, 6.28E-2, 5.98E-2, 5.09E-2, + -1.87E-1,-1.58E-1,-1.09E-1,-5.80E-2,-2.03E-2, 2.48E-3, 1.99E-2, 3.36E-2, 3.27E-2, + -1.01E-1,-1.05E-1,-8.95E-2,-6.63E-2,-3.93E-2,-2.38E-2,-9.22E-3, 8.47E-3, 1.52E-2, + -5.19E-2,-6.47E-2,-6.51E-2,-5.62E-2,-4.51E-2,-3.49E-2,-2.45E-2,-8.19E-3, 2.05E-3, + -3.68E-2,-4.89E-2,-5.36E-2,-5.06E-2,-4.27E-2,-3.65E-2,-2.80E-2,-1.33E-2,-3.47E-3, + -2.33E-2,-3.69E-2,-4.41E-2,-4.38E-2,-3.97E-2,-3.50E-2,-2.88E-2,-1.60E-2,-6.68E-3, + -8.76E-3,-2.07E-2,-2.90E-2,-3.17E-2,-3.09E-2,-2.92E-2,-2.63E-2,-1.79E-2,-1.03E-2, + -1.20E-3,-1.11E-2,-1.90E-2,-2.20E-2,-2.32E-2,-2.24E-2,-2.10E-2,-1.66E-2,-1.11E-2, + 1.72E-3,-4.82E-3,-1.02E-2,-1.42E-2,-1.65E-2,-1.66E-2,-1.60E-2,-1.39E-2,-1.09E-2, + 2.68E-3,-1.18E-3,-5.19E-3,-8.30E-5,-1.01E-2,-1.14E-2,-1.16E-2,-1.16E-2,-9.99E-3, + 2.81E-3, 8.21E-4,-1.96E-3,-3.99E-3,-5.89E-3,-7.13E-3,-8.15E-3,-9.05E-3,-8.60E-3, + 2.61E-3, 1.35E-3,-2.99E-4,-1.79E-3,-3.12E-3,-4.44E-3,-5.61E-3,-7.01E-3,-7.27E-3, + 2.06E-3, 1.45E-3, 4.64E-4,-5.97E-4,-1.71E-3,-2.79E-3,-3.84E-3,-5.29E-3,-5.90E-3, + 1.07E-3, 9.39E-4, 8.22E-4, 3.58E-4,-1.15E-4,-6.60E-4,-1.18E-3,-2.15E-3,-2.88E-3, + 4.97E-4, 5.46E-4, 6.15E-4, 5.56E-4, 3.14E-4, 9.80E-5,-1.30E-4,-5.98E-4,-1.07E-4, + 1.85E-4, 3.11E-4, 4.25E-4, 4.08E-4, 3.63E-4, 3.04E-4, 2.24E-4, 2.80E-5,-2.10E-4, + 4.80E-5, 1.48E-4, 2.44E-4, 2.80E-4, 3.01E-4, 3.11E-4, 3.13E-4, 2.40E-4, 1.10E-4, + 0.00 , 0.00 , 0.00 , 0.00 , 0.00 , 0.00 , 1.39E-4, 1.80E-4, 1.80E-4, + 0.00 , 0.00 , 0.00 , 0.00 , 0.00 , 0.00 , 4.38E-5, 7.30E-5, 8.40E-5/ real f2_C(7,nRowC) + / 7.36E-2, 4.21E-2, 2.69E-2, 1.83E-2, 1.34E-2, 1.01E-2, 7.88E-3, + 5.79E-2, 3.61E-2, 2.34E-2, 1.64E-2, 1.21E-2, 9.26E-3, 7.28E-3, + 2.94E-2, 2.17E-2, 1.60E-2, 1.23E-2, 9.49E-3, 7.45E-3, 5.95E-3, + 2.30E-3, 7.07E-3, 7.76E-3, 7.02E-3, 6.13E-3, 5.17E-3, 4.34E-3, + -7.50E-3,-2.00E-3, 9.93E-4, 2.36E-3, 2.82E-3, 2.86E-3, 2.72E-3, + -8.27E-3,-5.37E-3,-2.58E-3,-7.96E-4, 3.75E-4, 9.71E-4, 1.28E-3, + -5.79E-3,-5.12E-3,-3.86E-3,-2.46E-3,-1.20E-3,-3.74E-4, 1.74E-4, + -3.26E-3,-3.43E-3,-3.26E-3,-2.68E-3,-1.84E-3,-1.12E-3,-4.54E-4, + -1.46E-3,-1.49E-3,-2.20E-3,-2.18E-3,-1.85E-3,-1.40E-3,-8.15E-4, + -4.29E-4,-9.44E-4,-1.29E-3,-1.50E-3,-1.51E-3,-1.36E-3,-9.57E-4, + -3.30E-5,-3.66E-4,-6.78E-4,-9.38E-4,-1.09E-3,-1.09E-3,-9.56E-4, + 1.50E-4, 3.10E-5,-1.38E-4,-3.06E-4,-4.67E-4,-5.48E-4,-6.08E-4, + 1.00E-4, 8.50E-5, 2.30E-5,-6.60E-5,-1.58E-4,-2.40E-4,-3.05E-4, + 5.40E-5, 6.50E-5, 4.90E-5, 1.20E-5,-3.60E-5,-8.90E-5,-1.31E-4, + 2.90E-5, 4.30E-5, 4.40E-5, 2.90E-5, 5.10E-6,-2.20E-5,-4.80E-5, + 1.40E-5, 2.40E-5, 2.80E-5, 2.60E-5, 1.90E-5, 7.50E-6,-1.10E-5, + 0.00 , 0.00 , 0.00 , 0.00 , 0.00 , 0.00 , 0.00 , + 0.00 , 0.00 , 0.00 , 0.00 , 0.00 , 0.00 , 0.00 , + 0.00 , 0.00 , 0.00 , 0.00 , 0.00 , 0.00 , 0.00 , + 0.00 , 0.00 , 0.00 , 0.00 , 0.00 , 0.00 , 0.00 , + 0.00 , 0.00 , 0.00 , 0.00 , 0.00 , 0.00 , 0.00 , + 0.00 , 0.00 , 0.00 , 0.00 , 0.00 , 0.00 , 0.00 , + 0.00 , 0.00 , 0.00 , 0.00 , 0.00 , 0.00 , 0.00 , + 0.00 , 0.00 , 0.00 , 0.00 , 0.00 , 0.00 , 0.00 / c=============================================================================== c Bestimme, welche Reihen der Tabellen fuer Interpolation benoetigt werden: if (tau.LT.tau_(1)) then write(*,*) 'tau is less than the lowest tabulated value:' write(*,*) 'tau = ',tau write(*,*) 'minimum = ',tau_(1) call exit elseif (tau.GT.tau_(nColumn)) then write(*,*) 'tau is greater than the highest tabulated value:' write(*,*) 'tau = ',tau write(*,*) 'maximum = ',tau_(nColumn) call exit endif column_ = 2 do while (tau.GT.tau_(column_)) column_ = column_ + 1 enddo ! Das Gewicht der Reihe zu groesserem Tau: weightCol = (tau-tau_(column_-1)) / (tau_(column_)-tau_(column_-1)) c Besorge fuer gegebenes 'thetaSchlange' die interpolierten f1- und f2 -Werte c der beiden relevanten Reihen: c iColumn = 1 => Reihe mit hoeherem Index c iColumn = 2 => Reihe mit kleinerem Index iColumn = 1 5 continue if (column_.LE.9) then ! ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ! Werte aus 1. Tabelle: 0.2 <= tau <= 1.8 column = column_ if (thetaSchlange.LT.thetaSchlangeA(1)) then write(*,*) 'thetaSchlange is less than the lowest tabulated value in table 1:' write(*,*) 'thetaSchlange = ',thetaSchlange write(*,*) 'minimum = ',thetaSchlangeA(1) call exit elseif (thetaSchlange.GT.thetaSchlangeA(nRowA)) then c write(*,*) 'thetaSchlange is greater than the highest tabulated value in table 1:' c write(*,*) 'thetaSchlange = ',thetaSchlange c write(*,*) 'maximum = ',thetaSchlangeA(nRowA) c call exit thetaSchlange = -1. RETURN endif row = 2 do while (thetaSchlange.GT.thetaSchlangeA(row)) row = row + 1 enddo ! Gewicht des Tabellenwertes zu groesseren ThetaSchlange: weightRow = (thetaSchlange-thetaSchlangeA(row-1)) / + (thetaSchlangeA(row)-thetaSchlangeA(row-1)) f1_(iColumn) = (1.-weightRow) * f1_A(column,row-1) + + weightRow * f1_A(column,row) f2_(iColumn) = (1.-weightRow) * f2_A(column,row-1) + + weightRow * f2_A(column,row) elseif (column_.LE.18) then ! ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ! Werte aus 2. Tabelle: 2.0 <= tau <= 7.0 column = column_ - 9 if (thetaSchlange.LT.thetaSchlangeB(1)) then write(*,*) 'thetaSchlange is less than the lowest tabulated value in table 1:' write(*,*) 'thetaSchlange = ',thetaSchlange write(*,*) 'minimum = ',thetaSchlangeB(1) call exit elseif (thetaSchlange.GT.thetaSchlangeB(nRowB)) then c write(*,*) 'thetaSchlange is greater than the highest tabulated value in table 1:' c write(*,*) 'thetaSchlange = ',thetaSchlange c write(*,*) 'maximum = ',thetaSchlangeB(nRowB) c call exit thetaSchlange = -1. RETURN endif row = 2 do while (thetaSchlange.GT.thetaSchlangeB(row)) row = row + 1 enddo ! Gewicht des Tabellenwertes zu groesseren ThetaSchlange: weightRow = (thetaSchlange-thetaSchlangeB(row-1)) / + (thetaSchlangeB(row)-thetaSchlangeB(row-1)) f1_(iColumn) = (1.-weightRow) * f1_B(column,row-1) + + weightRow * f1_B(column,row) f2_(iColumn) = (1.-weightRow) * f2_B(column,row-1) + + weightRow * f2_B(column,row) else ! ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ! Werte aus 3. Tabelle: 8.0 <= tau <= 20. column = column_ - 18 if (thetaSchlange.LT.thetaSchlangeC(1)) then write(*,*) 'thetaSchlange is less than the lowest tabulated value in table 1:' write(*,*) 'thetaSchlange = ',thetaSchlange write(*,*) 'minimum = ',thetaSchlangeC(1) call exit elseif (thetaSchlange.GT.thetaSchlangeC(nRowC)) then c write(*,*) 'thetaSchlange is greater than the highest tabulated value in table 1:' c write(*,*) 'thetaSchlange = ',thetaSchlange c write(*,*) 'maximum = ',thetaSchlangeC(nRowC) c call exit thetaSchlange = -1. RETURN endif row = 2 do while (thetaSchlange.GT.thetaSchlangeC(row)) row = row + 1 enddo ! Gewicht des Tabellenwertes zu groesseren ThetaSchlange: weightRow = (thetaSchlange-thetaSchlangeC(row-1)) / + (thetaSchlangeC(row)-thetaSchlangeC(row-1)) f1_(iColumn) = (1.-weightRow) * f1_C(column,row-1) + + weightRow * f1_C(column,row) f2_(iColumn) = (1.-weightRow) * f2_C(column,row-1) + + weightRow * f2_C(column,row) endif ! ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ if (iColumn.EQ.1) then column_ = column_ - 1 iColumn = 2 goto 5 endif f1 = weightCol*f1_(1) + (1.-weightCol)*f1_(2) f2 = weightCol*f2_(1) + (1.-weightCol)*f2_(2) END c=============================================================================== END PROGRAM mtest