(* Content-type: application/vnd.wolfram.mathematica *)

(*** Wolfram Notebook File ***)
(* http://www.wolfram.com/nb *)

(* CreatedBy='Mathematica 9.0' *)

(*CacheID: 234*)
(* Internal cache information:
NotebookFileLineBreakTest
NotebookFileLineBreakTest
NotebookDataPosition[       157,          7]
NotebookDataLength[     64637,       2941]
NotebookOptionsPosition[     63233,       2897]
NotebookOutlinePosition[     63772,       2917]
CellTagsIndexPosition[     63729,       2914]
WindowFrame->Normal*)

(* Beginning of Notebook Content *)
Notebook[{

Cell[CellGroupData[{
Cell["\<\
(* Acetylene with two fused methanes at face with CH4 data CH4Mt(min).nb  \
04.07.2012 *)
Clear[z,sig1,sig2,sig4,k1,k2,k4,nc,R1,R2,R3,R4,w,p,vee,vne,vnn,
xc,yc,zc,xn,yn,zn,oc,ch,rr,cs,ss,d1,d2,d3,d4,d5,pi,i,j,d,t];
z=6.0;
nc=7;   (* number of clouds *)
sig1=0.3; sig2=0.3; sig4=0.3; (* screening const. from e-e interaction in \
doubly occ. clouds *)
k1=1.0; k2=1.0; k4=1.0; (* parameters for kinetic energy of clouds; k=1.0 \
Kimball's lowest value *)
bohr=0.529177; rad=57.29578;

(* C He-shells *)
Ekin = 2*(2.25*k1/R1^2);
vee=2*(3.0*sig1/R1);
vne=-2*(3.0*z/R1);
(* this is the common face assumption *)
R4=R2; k4=k2; sig4=sig2;

(* bonding pairs *)
Ekin = Ekin + 2.25*(2*k2/R2^2+3*k4/R4^2);
vee=vee+3.0*(2*sig2/R2+3*sig4/R4);
vne=vne-2*(3-(p/R2)^2)/R2;
(* cloud occupation *)
oc={-2,-2,-2,-2,-2,-2,-2};
(* nuclear charges for C1,C2,H3,H4,face1,face2,face3 *)
ch={6,6,1,1,0,0,0};
(* cloud radii in the same order *)
rr={R1,R1,R2,R2,R4,R4,R4};
(* w is half angle between two C-H of CH4, i.e. 109.47\[Degree]/2 *)
w=ArcCos[-1/3]/2;
cs=Cos[w];  ss=Sin[w];
(* edge length of tetrahedron of 4 equal clouds *)
a=4*(R1+R2)/Sqrt[6]; (* 4/Sqrt[6] is also Sqrt[8/3] *)
(* x is C-C bond axis, xz one mirrorplane of D3h molecule *)
(* R1+R2 is radius of circumsphere for each tetrahedron of equal clouds *)
d1=R1+R4; d2=R1+R2;  
(* cloud coordinates in terms of radii *)        
d3=d2+d1/3; d4=d1*Sqrt[2/3];  d5=d1*Sqrt[8]/3;
xc={-d1/3,d1/3,-d3,d3,0,0,0};
yc={0,0,0,0,0,-d4,d4};
zc={0,0,0,0,d5,-d5/2,-d5/2}; (* 'eclipsed' conformation *)
(* nuclear coordinates in terms of radii; C nuclei assumed in center of C(1s) \
cloud *)
(* CH units span radius R1+R2+p of circumsphere through H, if tetrahedral! *)
d6=R1+R2+p; d7=d1/3+d6;
xn={-d1/3,d1/3,-d7,d7,0,0,0};
yn={0,0,0,0,0,0,0};
zn={0,0,0,0,0,0,0};
(* potential energy of protons in CH-clouds with eccentricity p *)

(* cc: sum of cloud-cloud potential energies *)
For[i = 1, i < nc, i++,
  For[j = i+1, j < nc+1, j++,
    vee = vee + \
oc[[i]]*oc[[j]]/Sqrt[(xc[[i]]-xc[[j]])^2+(yc[[i]]-yc[[j]])^2+(zc[[i]]-zc[[j]])\
^2]]]

(* nn: sum of nuclei-nuclei potential energies *)
vnn = 0.0;
For[i = 1, i < nc-3, i++,
  For[j = i+1, j < nc-2, j++,
    vnn = vnn + \
ch[[i]]*ch[[j]]/Sqrt[(xn[[i]]-xn[[j]])^2+(yn[[i]]-yn[[j]])^2+(zn[[i]]-zn[[j]])\
^2]]]

(* cn: sum of cloud-nuclei potential energies *)
For[i = 1, i < nc+1, i++,
  For[j = 1, j < nc-2, j++,
    If[i != j,
      vne = vne + \
oc[[i]]*ch[[j]]/Sqrt[(xc[[i]]-xn[[j]])^2+(yc[[i]]-yn[[j]])^2+(zc[[i]]-zn[[j]])\
^2]]]]

Epot=vne+vee+vnn;
func=Ekin+Epot;
(* results of CH4 computation; if this is not available, decomment the \
minimize function *)
(* R1=0.2623610; R2=1.2461360;  p=0.53986226; *)
(* minimization function for R1, R2, p *)
t = FindMinimum[func,{R1,0.26},{R2,1.29},{p,0.54},{Method -> Automatic}, \
{MaxIterations -> 500}]

(* func *)
vne  /. t[[2]]
vee  /. t[[2]]
vnn  /. t[[2]]
-Epot/Ekin  /. t[[2]]
2*d1/3*bohr  /. t[[2]]
(R1+R2+p)*bohr  /. t[[2]]
(R1+R2)*bohr  /. t[[2]]
2*w*rad  /. t[[2]]\
\>", "Input",
 PageWidth->WindowWidth,
 FontSize->16],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{
   RowBox[{"-", "74.2253079502582`"}], ",", 
   RowBox[{"{", 
    RowBox[{
     RowBox[{"R1", "\[Rule]", "0.2580355953488826`"}], ",", 
     RowBox[{"R2", "\[Rule]", "1.302033245353087`"}], ",", 
     RowBox[{"p", "\[Rule]", "0.6513964113041653`"}]}], "}"}]}], 
  "}"}]], "Output"],

Cell[BoxData[
 RowBox[{"-", "245.31970982515324`"}]], "Output"],

Cell[BoxData["52.95914553201775`"], "Output"],

Cell[BoxData["43.91376581981671`"], "Output"],

Cell[BoxData["2.000051432909399`"], "Output"],

Cell[BoxData["0.5503683659440974`"], "Output"],

Cell[BoxData["1.1702565476608504`"], "Output"],

Cell[BoxData["0.8255525489161462`"], "Output"],

Cell[BoxData["109.4712215648118`"], "Output"]
}, Open  ]],

Cell[CellGroupData[{

Cell["\<\
(* projection on xy-plane of molecule *)
plot1=Graphics[{Circle[{xc[[1]],yc[[1]]},R1],      \
Circle[{xc[[2]],yc[[2]]},R1],Circle[{xc[[3]],yc[[3]]},R2],Circle[{xc[[4]],yc[[\
4]]},R2],Circle[{xc[[5]],yc[[5]]},R4],Circle[{xc[[6]],yc[[6]]},R4],Circle[{xc[\
[7]],yc[[7]]},R4],{Thickness[0.01], \
GrayLevel[0.75],Line[{{xc[[5]],yc[[5]]},{xc[[6]],yc[[6]]},{xc[[7]],yc[[7]]},{\
xc[[5]],yc[[5]]}}],
Line[{{xc[[3]],yc[[3]]},{xc[[4]],yc[[4]]}}],
Line[{{xc[[3]],yc[[3]]},{xc[[6]],yc[[6]]},{xc[[4]],yc[[4]]}}],Line[{{xc[[3]],\
yc[[3]]},{xc[[7]],yc[[7]]},{xc[[4]],yc[[4]]}}],GrayLevel[0],Disk[{xn[[1]],yn[[\
1]]},0.08], Disk[{xn[[2]],yn[[2]]},0.08], Disk[{xn[[3]],yn[[3]]},0.08], \
Disk[{xn[[4]],yn[[4]]},0.08] }}]  /. t[[2]]

Show[plot1,{AspectRatio \[Rule] Automatic,Axes -> True,GridLines -> \
Automatic, PlotRange \[Rule] {{-4,4},{-4,4}}, Frame -> True}]

(* projection on xz-plane, perpendicular to molecular plane *)
plot2=Graphics[{Circle[{xc[[1]],zc[[1]]},R1],      \
Circle[{xc[[2]],zc[[2]]},R1],Circle[{xc[[3]],zc[[3]]},R2],Circle[{xc[[4]],zc[[\
4]]},R2],Circle[{xc[[5]],zc[[5]]},R4],Circle[{xc[[6]],zc[[6]]},R4],Circle[{xc[\
[7]],zc[[7]]},R4],Disk[{xn[[1]],zn[[1]]},0.08], Disk[{xn[[2]],zn[[2]]},0.08], \
Disk[{xn[[3]],zn[[3]]},0.08], Disk[{xn[[4]],zn[[4]]},0.08],{Thickness[0.01], \
GrayLevel[0.75],Line[{{xc[[5]],zc[[5]]},{xc[[6]],zc[[6]]},{xc[[7]],zc[[7]]},{\
xc[[5]],zc[[5]]}}],Line[{{xc[[3]],zc[[3]]},{xc[[5]],zc[[5]]},{xc[[4]],zc[[4]]}\
}],Line[{{xc[[3]],zc[[3]]},{xc[[6]],zc[[6]]},{xc[[4]],zc[[4]]}}] }}]  /. t[[2]]

Show[plot2,{AspectRatio \[Rule] Automatic,Axes -> True,GridLines -> \
Automatic, PlotRange \[Rule] {{-4,4},{-4,4}}, Frame -> True}]

(* projection on yz-plane, perpendicular to molecular plane *)
plot3=Graphics[{Circle[{yc[[1]],zc[[1]]},R1],      \
Circle[{yc[[2]],zc[[2]]},R1],Circle[{yc[[3]],zc[[3]]},R2],Circle[{yc[[4]],zc[[\
4]]},R2],Circle[{yc[[5]],zc[[5]]},R4],Circle[{yc[[6]],zc[[6]]},R4],Circle[{yc[\
[7]],zc[[7]]},R4],Disk[{yn[[1]],zn[[1]]},0.08],Disk[{yn[[2]],zn[[2]]},0.08], \
Disk[{yn[[3]],zn[[3]]},0.08], Disk[{yn[[4]],zn[[4]]},0.08],
{Thickness[0.01], \
GrayLevel[0.75],Line[{{yc[[5]],zc[[5]]},{yc[[6]],zc[[6]]},{yc[[7]],zc[[7]]},{\
yc[[5]],zc[[5]]}}]} }]  /. t[[2]]

Show[plot3,{AspectRatio \[Rule] Automatic,Axes -> True,GridLines -> \
Automatic, PlotRange \[Rule] {{-4,4},{-4,4}}, Frame -> True}]
\
\>", "Input",
 PageWidth->WindowWidth,
 FontSize->16],

Cell[BoxData[
 TagBox[
  RowBox[{"\[SkeletonIndicator]", "Graphics", "\[SkeletonIndicator]"}],
  False,
  Editable->False]], "Output"],

Cell[GraphicsData["PostScript", "\<\
%!
%%Creator: Mathematica
%%AspectRatio: 1 
MathPictureStart
/Mabs {
Mgmatrix idtransform
Mtmatrix dtransform
} bind def
/Mabsadd { Mabs
3 -1 roll add
3 1 roll add
exch } bind def
%% Graphics
%%IncludeResource: font Courier
%%IncludeFont: Courier
/Courier findfont 10  scalefont  setfont
% Scaling calculations
0.5 0.125 0.5 0.125 [
[.125 -0.0125 -6 -9 ]
[.125 -0.0125 6 0 ]
[.25 -0.0125 -6 -9 ]
[.25 -0.0125 6 0 ]
[.375 -0.0125 -6 -9 ]
[.375 -0.0125 6 0 ]
[.5 -0.0125 -3 -9 ]
[.5 -0.0125 3 0 ]
[.625 -0.0125 -3 -9 ]
[.625 -0.0125 3 0 ]
[.75 -0.0125 -3 -9 ]
[.75 -0.0125 3 0 ]
[.875 -0.0125 -3 -9 ]
[.875 -0.0125 3 0 ]
[1 -0.0125 -3 -9 ]
[1 -0.0125 3 0 ]
[ 0 0 -0.125 0 ]
[-0.0125 .125 -12 -4.5 ]
[-0.0125 .125 0 4.5 ]
[-0.0125 .25 -12 -4.5 ]
[-0.0125 .25 0 4.5 ]
[-0.0125 .375 -12 -4.5 ]
[-0.0125 .375 0 4.5 ]
[-0.0125 .5 -6 -4.5 ]
[-0.0125 .5 0 4.5 ]
[-0.0125 .625 -6 -4.5 ]
[-0.0125 .625 0 4.5 ]
[-0.0125 .75 -6 -4.5 ]
[-0.0125 .75 0 4.5 ]
[-0.0125 .875 -6 -4.5 ]
[-0.0125 .875 0 4.5 ]
[-0.0125 1 -6 -4.5 ]
[-0.0125 1 0 4.5 ]
[ 0 0 -0.125 0 ]
[ 0 1 .125 0 ]
[ 1 0 .125 0 ]
[ 0 0 0 0 ]
[ 1 1 0 0 ]
] MathScale
% Start of Graphics
1 setlinecap
1 setlinejoin
newpath
0 0 .5 r
.25 Mabswid
[ ] 0 setdash
.125 0 m
.125 1 L
s
.25 0 m
.25 1 L
s
.375 0 m
.375 1 L
s
.5 0 m
.5 1 L
s
.625 0 m
.625 1 L
s
.75 0 m
.75 1 L
s
.875 0 m
.875 1 L
s
0 .125 m
1 .125 L
s
0 .25 m
1 .25 L
s
0 .375 m
1 .375 L
s
0 .5 m
1 .5 L
s
0 .625 m
1 .625 L
s
0 .75 m
1 .75 L
s
0 .875 m
1 .875 L
s
0 g
.125 0 m
.125 .00625 L
s
[(-3)] .125 -0.0125 0 1 Mshowa
.25 0 m
.25 .00625 L
s
[(-2)] .25 -0.0125 0 1 Mshowa
.375 0 m
.375 .00625 L
s
[(-1)] .375 -0.0125 0 1 Mshowa
.5 0 m
.5 .00625 L
s
[(0)] .5 -0.0125 0 1 Mshowa
.625 0 m
.625 .00625 L
s
[(1)] .625 -0.0125 0 1 Mshowa
.75 0 m
.75 .00625 L
s
[(2)] .75 -0.0125 0 1 Mshowa
.875 0 m
.875 .00625 L
s
[(3)] .875 -0.0125 0 1 Mshowa
1 0 m
1 .00625 L
s
[(4)] 1 -0.0125 0 1 Mshowa
.125 Mabswid
.025 0 m
.025 .00375 L
s
.05 0 m
.05 .00375 L
s
.075 0 m
.075 .00375 L
s
.1 0 m
.1 .00375 L
s
.15 0 m
.15 .00375 L
s
.175 0 m
.175 .00375 L
s
.2 0 m
.2 .00375 L
s
.225 0 m
.225 .00375 L
s
.275 0 m
.275 .00375 L
s
.3 0 m
.3 .00375 L
s
.325 0 m
.325 .00375 L
s
.35 0 m
.35 .00375 L
s
.4 0 m
.4 .00375 L
s
.425 0 m
.425 .00375 L
s
.45 0 m
.45 .00375 L
s
.475 0 m
.475 .00375 L
s
.525 0 m
.525 .00375 L
s
.55 0 m
.55 .00375 L
s
.575 0 m
.575 .00375 L
s
.6 0 m
.6 .00375 L
s
.65 0 m
.65 .00375 L
s
.675 0 m
.675 .00375 L
s
.7 0 m
.7 .00375 L
s
.725 0 m
.725 .00375 L
s
.775 0 m
.775 .00375 L
s
.8 0 m
.8 .00375 L
s
.825 0 m
.825 .00375 L
s
.85 0 m
.85 .00375 L
s
.9 0 m
.9 .00375 L
s
.925 0 m
.925 .00375 L
s
.95 0 m
.95 .00375 L
s
.975 0 m
.975 .00375 L
s
.25 Mabswid
0 0 m
1 0 L
s
0 .125 m
.00625 .125 L
s
[(-3)] -0.0125 .125 1 0 Mshowa
0 .25 m
.00625 .25 L
s
[(-2)] -0.0125 .25 1 0 Mshowa
0 .375 m
.00625 .375 L
s
[(-1)] -0.0125 .375 1 0 Mshowa
0 .5 m
.00625 .5 L
s
[(0)] -0.0125 .5 1 0 Mshowa
0 .625 m
.00625 .625 L
s
[(1)] -0.0125 .625 1 0 Mshowa
0 .75 m
.00625 .75 L
s
[(2)] -0.0125 .75 1 0 Mshowa
0 .875 m
.00625 .875 L
s
[(3)] -0.0125 .875 1 0 Mshowa
0 1 m
.00625 1 L
s
[(4)] -0.0125 1 1 0 Mshowa
.125 Mabswid
0 .025 m
.00375 .025 L
s
0 .05 m
.00375 .05 L
s
0 .075 m
.00375 .075 L
s
0 .1 m
.00375 .1 L
s
0 .15 m
.00375 .15 L
s
0 .175 m
.00375 .175 L
s
0 .2 m
.00375 .2 L
s
0 .225 m
.00375 .225 L
s
0 .275 m
.00375 .275 L
s
0 .3 m
.00375 .3 L
s
0 .325 m
.00375 .325 L
s
0 .35 m
.00375 .35 L
s
0 .4 m
.00375 .4 L
s
0 .425 m
.00375 .425 L
s
0 .45 m
.00375 .45 L
s
0 .475 m
.00375 .475 L
s
0 .525 m
.00375 .525 L
s
0 .55 m
.00375 .55 L
s
0 .575 m
.00375 .575 L
s
0 .6 m
.00375 .6 L
s
0 .65 m
.00375 .65 L
s
0 .675 m
.00375 .675 L
s
0 .7 m
.00375 .7 L
s
0 .725 m
.00375 .725 L
s
0 .775 m
.00375 .775 L
s
0 .8 m
.00375 .8 L
s
0 .825 m
.00375 .825 L
s
0 .85 m
.00375 .85 L
s
0 .9 m
.00375 .9 L
s
0 .925 m
.00375 .925 L
s
0 .95 m
.00375 .95 L
s
0 .975 m
.00375 .975 L
s
.25 Mabswid
0 0 m
0 1 L
s
0 .99375 m
0 1 L
s
.125 .99375 m
.125 1 L
s
.25 .99375 m
.25 1 L
s
.375 .99375 m
.375 1 L
s
.5 .99375 m
.5 1 L
s
.625 .99375 m
.625 1 L
s
.75 .99375 m
.75 1 L
s
.875 .99375 m
.875 1 L
s
.125 Mabswid
.025 .99625 m
.025 1 L
s
.05 .99625 m
.05 1 L
s
.075 .99625 m
.075 1 L
s
.1 .99625 m
.1 1 L
s
.15 .99625 m
.15 1 L
s
.175 .99625 m
.175 1 L
s
.2 .99625 m
.2 1 L
s
.225 .99625 m
.225 1 L
s
.275 .99625 m
.275 1 L
s
.3 .99625 m
.3 1 L
s
.325 .99625 m
.325 1 L
s
.35 .99625 m
.35 1 L
s
.4 .99625 m
.4 1 L
s
.425 .99625 m
.425 1 L
s
.45 .99625 m
.45 1 L
s
.475 .99625 m
.475 1 L
s
.525 .99625 m
.525 1 L
s
.55 .99625 m
.55 1 L
s
.575 .99625 m
.575 1 L
s
.6 .99625 m
.6 1 L
s
.65 .99625 m
.65 1 L
s
.675 .99625 m
.675 1 L
s
.7 .99625 m
.7 1 L
s
.725 .99625 m
.725 1 L
s
.775 .99625 m
.775 1 L
s
.8 .99625 m
.8 1 L
s
.825 .99625 m
.825 1 L
s
.85 .99625 m
.85 1 L
s
.9 .99625 m
.9 1 L
s
.925 .99625 m
.925 1 L
s
.95 .99625 m
.95 1 L
s
.975 .99625 m
.975 1 L
s
.25 Mabswid
0 1 m
1 1 L
s
.99375 0 m
1 0 L
s
.99375 .125 m
1 .125 L
s
.99375 .25 m
1 .25 L
s
.99375 .375 m
1 .375 L
s
.99375 .5 m
1 .5 L
s
.99375 .625 m
1 .625 L
s
.99375 .75 m
1 .75 L
s
.99375 .875 m
1 .875 L
s
.125 Mabswid
.99625 .025 m
1 .025 L
s
.99625 .05 m
1 .05 L
s
.99625 .075 m
1 .075 L
s
.99625 .1 m
1 .1 L
s
.99625 .15 m
1 .15 L
s
.99625 .175 m
1 .175 L
s
.99625 .2 m
1 .2 L
s
.99625 .225 m
1 .225 L
s
.99625 .275 m
1 .275 L
s
.99625 .3 m
1 .3 L
s
.99625 .325 m
1 .325 L
s
.99625 .35 m
1 .35 L
s
.99625 .4 m
1 .4 L
s
.99625 .425 m
1 .425 L
s
.99625 .45 m
1 .45 L
s
.99625 .475 m
1 .475 L
s
.99625 .525 m
1 .525 L
s
.99625 .55 m
1 .55 L
s
.99625 .575 m
1 .575 L
s
.99625 .6 m
1 .6 L
s
.99625 .65 m
1 .65 L
s
.99625 .675 m
1 .675 L
s
.99625 .7 m
1 .7 L
s
.99625 .725 m
1 .725 L
s
.99625 .775 m
1 .775 L
s
.99625 .8 m
1 .8 L
s
.99625 .825 m
1 .825 L
s
.99625 .85 m
1 .85 L
s
.99625 .9 m
1 .9 L
s
.99625 .925 m
1 .925 L
s
.99625 .95 m
1 .95 L
s
.99625 .975 m
1 .975 L
s
.25 Mabswid
1 0 m
1 1 L
s
0 .5 m
1 .5 L
s
.5 0 m
.5 1 L
s
0 0 m
1 0 L
1 1 L
0 1 L
closepath
clip
newpath
.5 Mabswid
newpath
.435 .5 .03225 0 365.73 arc
s
newpath
.565 .5 .03225 0 365.73 arc
s
newpath
.23999 .5 .16275 0 365.73 arc
s
newpath
.76001 .5 .16275 0 365.73 arc
s
newpath
.5 .5 .16275 0 365.73 arc
s
newpath
.5 .34078 .16275 0 365.73 arc
s
newpath
.5 .65922 .16275 0 365.73 arc
s
.75 g
.01 w
.5 .5 m
.5 .34078 L
.5 .65922 L
.5 .5 L
s
.23999 .5 m
.76001 .5 L
s
.23999 .5 m
.5 .34078 L
.76001 .5 L
s
.23999 .5 m
.5 .65922 L
.76001 .5 L
s
0 g
.435 .5 m
.435 .5 .01 0 365.73 arc
F
.565 .5 m
.565 .5 .01 0 365.73 arc
F
.15856 .5 m
.15856 .5 .01 0 365.73 arc
F
.84144 .5 m
.84144 .5 .01 0 365.73 arc
F
% End of Graphics
MathPictureEnd
\
\>"], "Graphics",
 ImageSize->{641.938, 641.938},
 ImageMargins->{{43, 0}, {0, 0}},
 ImageRegion->{{0, 1}, {0, 
  1}},ImageCache->GraphicsData["CompressedBitmap", "\<\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\
\>"],ImageRangeCache->{{{0, 640.938}, {640.938, 0}} -> {-4.25533, -4.22621, \
0.0129407, 0.0129407}}],

Cell[BoxData[
 TagBox[
  RowBox[{"\[SkeletonIndicator]", "Graphics", "\[SkeletonIndicator]"}],
  False,
  Editable->False]], "Output"],

Cell[BoxData[
 TagBox[
  RowBox[{"\[SkeletonIndicator]", "Graphics", "\[SkeletonIndicator]"}],
  False,
  Editable->False]], "Output"],

Cell[GraphicsData["PostScript", "\<\
%!
%%Creator: Mathematica
%%AspectRatio: 1 
MathPictureStart
/Mabs {
Mgmatrix idtransform
Mtmatrix dtransform
} bind def
/Mabsadd { Mabs
3 -1 roll add
3 1 roll add
exch } bind def
%% Graphics
%%IncludeResource: font Courier
%%IncludeFont: Courier
/Courier findfont 10  scalefont  setfont
% Scaling calculations
0.5 0.125 0.5 0.125 [
[.125 -0.0125 -6 -9 ]
[.125 -0.0125 6 0 ]
[.25 -0.0125 -6 -9 ]
[.25 -0.0125 6 0 ]
[.375 -0.0125 -6 -9 ]
[.375 -0.0125 6 0 ]
[.5 -0.0125 -3 -9 ]
[.5 -0.0125 3 0 ]
[.625 -0.0125 -3 -9 ]
[.625 -0.0125 3 0 ]
[.75 -0.0125 -3 -9 ]
[.75 -0.0125 3 0 ]
[.875 -0.0125 -3 -9 ]
[.875 -0.0125 3 0 ]
[1 -0.0125 -3 -9 ]
[1 -0.0125 3 0 ]
[ 0 0 -0.125 0 ]
[-0.0125 .125 -12 -4.5 ]
[-0.0125 .125 0 4.5 ]
[-0.0125 .25 -12 -4.5 ]
[-0.0125 .25 0 4.5 ]
[-0.0125 .375 -12 -4.5 ]
[-0.0125 .375 0 4.5 ]
[-0.0125 .5 -6 -4.5 ]
[-0.0125 .5 0 4.5 ]
[-0.0125 .625 -6 -4.5 ]
[-0.0125 .625 0 4.5 ]
[-0.0125 .75 -6 -4.5 ]
[-0.0125 .75 0 4.5 ]
[-0.0125 .875 -6 -4.5 ]
[-0.0125 .875 0 4.5 ]
[-0.0125 1 -6 -4.5 ]
[-0.0125 1 0 4.5 ]
[ 0 0 -0.125 0 ]
[ 0 1 .125 0 ]
[ 1 0 .125 0 ]
[ 0 0 0 0 ]
[ 1 1 0 0 ]
] MathScale
% Start of Graphics
1 setlinecap
1 setlinejoin
newpath
0 0 .5 r
.25 Mabswid
[ ] 0 setdash
.125 0 m
.125 1 L
s
.25 0 m
.25 1 L
s
.375 0 m
.375 1 L
s
.5 0 m
.5 1 L
s
.625 0 m
.625 1 L
s
.75 0 m
.75 1 L
s
.875 0 m
.875 1 L
s
0 .125 m
1 .125 L
s
0 .25 m
1 .25 L
s
0 .375 m
1 .375 L
s
0 .5 m
1 .5 L
s
0 .625 m
1 .625 L
s
0 .75 m
1 .75 L
s
0 .875 m
1 .875 L
s
0 g
.125 0 m
.125 .00625 L
s
[(-3)] .125 -0.0125 0 1 Mshowa
.25 0 m
.25 .00625 L
s
[(-2)] .25 -0.0125 0 1 Mshowa
.375 0 m
.375 .00625 L
s
[(-1)] .375 -0.0125 0 1 Mshowa
.5 0 m
.5 .00625 L
s
[(0)] .5 -0.0125 0 1 Mshowa
.625 0 m
.625 .00625 L
s
[(1)] .625 -0.0125 0 1 Mshowa
.75 0 m
.75 .00625 L
s
[(2)] .75 -0.0125 0 1 Mshowa
.875 0 m
.875 .00625 L
s
[(3)] .875 -0.0125 0 1 Mshowa
1 0 m
1 .00625 L
s
[(4)] 1 -0.0125 0 1 Mshowa
.125 Mabswid
.025 0 m
.025 .00375 L
s
.05 0 m
.05 .00375 L
s
.075 0 m
.075 .00375 L
s
.1 0 m
.1 .00375 L
s
.15 0 m
.15 .00375 L
s
.175 0 m
.175 .00375 L
s
.2 0 m
.2 .00375 L
s
.225 0 m
.225 .00375 L
s
.275 0 m
.275 .00375 L
s
.3 0 m
.3 .00375 L
s
.325 0 m
.325 .00375 L
s
.35 0 m
.35 .00375 L
s
.4 0 m
.4 .00375 L
s
.425 0 m
.425 .00375 L
s
.45 0 m
.45 .00375 L
s
.475 0 m
.475 .00375 L
s
.525 0 m
.525 .00375 L
s
.55 0 m
.55 .00375 L
s
.575 0 m
.575 .00375 L
s
.6 0 m
.6 .00375 L
s
.65 0 m
.65 .00375 L
s
.675 0 m
.675 .00375 L
s
.7 0 m
.7 .00375 L
s
.725 0 m
.725 .00375 L
s
.775 0 m
.775 .00375 L
s
.8 0 m
.8 .00375 L
s
.825 0 m
.825 .00375 L
s
.85 0 m
.85 .00375 L
s
.9 0 m
.9 .00375 L
s
.925 0 m
.925 .00375 L
s
.95 0 m
.95 .00375 L
s
.975 0 m
.975 .00375 L
s
.25 Mabswid
0 0 m
1 0 L
s
0 .125 m
.00625 .125 L
s
[(-3)] -0.0125 .125 1 0 Mshowa
0 .25 m
.00625 .25 L
s
[(-2)] -0.0125 .25 1 0 Mshowa
0 .375 m
.00625 .375 L
s
[(-1)] -0.0125 .375 1 0 Mshowa
0 .5 m
.00625 .5 L
s
[(0)] -0.0125 .5 1 0 Mshowa
0 .625 m
.00625 .625 L
s
[(1)] -0.0125 .625 1 0 Mshowa
0 .75 m
.00625 .75 L
s
[(2)] -0.0125 .75 1 0 Mshowa
0 .875 m
.00625 .875 L
s
[(3)] -0.0125 .875 1 0 Mshowa
0 1 m
.00625 1 L
s
[(4)] -0.0125 1 1 0 Mshowa
.125 Mabswid
0 .025 m
.00375 .025 L
s
0 .05 m
.00375 .05 L
s
0 .075 m
.00375 .075 L
s
0 .1 m
.00375 .1 L
s
0 .15 m
.00375 .15 L
s
0 .175 m
.00375 .175 L
s
0 .2 m
.00375 .2 L
s
0 .225 m
.00375 .225 L
s
0 .275 m
.00375 .275 L
s
0 .3 m
.00375 .3 L
s
0 .325 m
.00375 .325 L
s
0 .35 m
.00375 .35 L
s
0 .4 m
.00375 .4 L
s
0 .425 m
.00375 .425 L
s
0 .45 m
.00375 .45 L
s
0 .475 m
.00375 .475 L
s
0 .525 m
.00375 .525 L
s
0 .55 m
.00375 .55 L
s
0 .575 m
.00375 .575 L
s
0 .6 m
.00375 .6 L
s
0 .65 m
.00375 .65 L
s
0 .675 m
.00375 .675 L
s
0 .7 m
.00375 .7 L
s
0 .725 m
.00375 .725 L
s
0 .775 m
.00375 .775 L
s
0 .8 m
.00375 .8 L
s
0 .825 m
.00375 .825 L
s
0 .85 m
.00375 .85 L
s
0 .9 m
.00375 .9 L
s
0 .925 m
.00375 .925 L
s
0 .95 m
.00375 .95 L
s
0 .975 m
.00375 .975 L
s
.25 Mabswid
0 0 m
0 1 L
s
0 .99375 m
0 1 L
s
.125 .99375 m
.125 1 L
s
.25 .99375 m
.25 1 L
s
.375 .99375 m
.375 1 L
s
.5 .99375 m
.5 1 L
s
.625 .99375 m
.625 1 L
s
.75 .99375 m
.75 1 L
s
.875 .99375 m
.875 1 L
s
.125 Mabswid
.025 .99625 m
.025 1 L
s
.05 .99625 m
.05 1 L
s
.075 .99625 m
.075 1 L
s
.1 .99625 m
.1 1 L
s
.15 .99625 m
.15 1 L
s
.175 .99625 m
.175 1 L
s
.2 .99625 m
.2 1 L
s
.225 .99625 m
.225 1 L
s
.275 .99625 m
.275 1 L
s
.3 .99625 m
.3 1 L
s
.325 .99625 m
.325 1 L
s
.35 .99625 m
.35 1 L
s
.4 .99625 m
.4 1 L
s
.425 .99625 m
.425 1 L
s
.45 .99625 m
.45 1 L
s
.475 .99625 m
.475 1 L
s
.525 .99625 m
.525 1 L
s
.55 .99625 m
.55 1 L
s
.575 .99625 m
.575 1 L
s
.6 .99625 m
.6 1 L
s
.65 .99625 m
.65 1 L
s
.675 .99625 m
.675 1 L
s
.7 .99625 m
.7 1 L
s
.725 .99625 m
.725 1 L
s
.775 .99625 m
.775 1 L
s
.8 .99625 m
.8 1 L
s
.825 .99625 m
.825 1 L
s
.85 .99625 m
.85 1 L
s
.9 .99625 m
.9 1 L
s
.925 .99625 m
.925 1 L
s
.95 .99625 m
.95 1 L
s
.975 .99625 m
.975 1 L
s
.25 Mabswid
0 1 m
1 1 L
s
.99375 0 m
1 0 L
s
.99375 .125 m
1 .125 L
s
.99375 .25 m
1 .25 L
s
.99375 .375 m
1 .375 L
s
.99375 .5 m
1 .5 L
s
.99375 .625 m
1 .625 L
s
.99375 .75 m
1 .75 L
s
.99375 .875 m
1 .875 L
s
.125 Mabswid
.99625 .025 m
1 .025 L
s
.99625 .05 m
1 .05 L
s
.99625 .075 m
1 .075 L
s
.99625 .1 m
1 .1 L
s
.99625 .15 m
1 .15 L
s
.99625 .175 m
1 .175 L
s
.99625 .2 m
1 .2 L
s
.99625 .225 m
1 .225 L
s
.99625 .275 m
1 .275 L
s
.99625 .3 m
1 .3 L
s
.99625 .325 m
1 .325 L
s
.99625 .35 m
1 .35 L
s
.99625 .4 m
1 .4 L
s
.99625 .425 m
1 .425 L
s
.99625 .45 m
1 .45 L
s
.99625 .475 m
1 .475 L
s
.99625 .525 m
1 .525 L
s
.99625 .55 m
1 .55 L
s
.99625 .575 m
1 .575 L
s
.99625 .6 m
1 .6 L
s
.99625 .65 m
1 .65 L
s
.99625 .675 m
1 .675 L
s
.99625 .7 m
1 .7 L
s
.99625 .725 m
1 .725 L
s
.99625 .775 m
1 .775 L
s
.99625 .8 m
1 .8 L
s
.99625 .825 m
1 .825 L
s
.99625 .85 m
1 .85 L
s
.99625 .9 m
1 .9 L
s
.99625 .925 m
1 .925 L
s
.99625 .95 m
1 .95 L
s
.99625 .975 m
1 .975 L
s
.25 Mabswid
1 0 m
1 1 L
s
0 .5 m
1 .5 L
s
.5 0 m
.5 1 L
s
0 0 m
1 0 L
1 1 L
0 1 L
closepath
clip
newpath
.5 Mabswid
newpath
.435 .5 .03225 0 365.73 arc
s
newpath
.565 .5 .03225 0 365.73 arc
s
newpath
.23999 .5 .16275 0 365.73 arc
s
newpath
.76001 .5 .16275 0 365.73 arc
s
newpath
.5 .68386 .16275 0 365.73 arc
s
newpath
.5 .40807 .16275 0 365.73 arc
s
newpath
.5 .40807 .16275 0 365.73 arc
s
.435 .5 m
.435 .5 .01 0 365.73 arc
F
.565 .5 m
.565 .5 .01 0 365.73 arc
F
.15856 .5 m
.15856 .5 .01 0 365.73 arc
F
.84144 .5 m
.84144 .5 .01 0 365.73 arc
F
.75 g
.01 w
.5 .68386 m
.5 .40807 L
.5 .40807 L
.5 .68386 L
s
.23999 .5 m
.5 .68386 L
.76001 .5 L
s
.23999 .5 m
.5 .40807 L
.76001 .5 L
s
% End of Graphics
MathPictureEnd
\
\>"], "Graphics",
 ImageSize->{641.938, 641.938},
 ImageMargins->{{43, 0}, {0, 0}},
 ImageRegion->{{0, 1}, {0, 
  1}},ImageCache->GraphicsData["CompressedBitmap", "\<\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\
\>"],ImageRangeCache->{{{0, 640.938}, {640.938, 0}} -> {-4.25533, -4.22621, \
0.0129407, 0.0129407}}],

Cell[BoxData[
 TagBox[
  RowBox[{"\[SkeletonIndicator]", "Graphics", "\[SkeletonIndicator]"}],
  False,
  Editable->False]], "Output"],

Cell[BoxData[
 TagBox[
  RowBox[{"\[SkeletonIndicator]", "Graphics", "\[SkeletonIndicator]"}],
  False,
  Editable->False]], "Output"],

Cell[GraphicsData["PostScript", "\<\
%!
%%Creator: Mathematica
%%AspectRatio: 1 
MathPictureStart
/Mabs {
Mgmatrix idtransform
Mtmatrix dtransform
} bind def
/Mabsadd { Mabs
3 -1 roll add
3 1 roll add
exch } bind def
%% Graphics
%%IncludeResource: font Courier
%%IncludeFont: Courier
/Courier findfont 10  scalefont  setfont
% Scaling calculations
0.5 0.125 0.5 0.125 [
[.125 -0.0125 -6 -9 ]
[.125 -0.0125 6 0 ]
[.25 -0.0125 -6 -9 ]
[.25 -0.0125 6 0 ]
[.375 -0.0125 -6 -9 ]
[.375 -0.0125 6 0 ]
[.5 -0.0125 -3 -9 ]
[.5 -0.0125 3 0 ]
[.625 -0.0125 -3 -9 ]
[.625 -0.0125 3 0 ]
[.75 -0.0125 -3 -9 ]
[.75 -0.0125 3 0 ]
[.875 -0.0125 -3 -9 ]
[.875 -0.0125 3 0 ]
[1 -0.0125 -3 -9 ]
[1 -0.0125 3 0 ]
[ 0 0 -0.125 0 ]
[-0.0125 .125 -12 -4.5 ]
[-0.0125 .125 0 4.5 ]
[-0.0125 .25 -12 -4.5 ]
[-0.0125 .25 0 4.5 ]
[-0.0125 .375 -12 -4.5 ]
[-0.0125 .375 0 4.5 ]
[-0.0125 .5 -6 -4.5 ]
[-0.0125 .5 0 4.5 ]
[-0.0125 .625 -6 -4.5 ]
[-0.0125 .625 0 4.5 ]
[-0.0125 .75 -6 -4.5 ]
[-0.0125 .75 0 4.5 ]
[-0.0125 .875 -6 -4.5 ]
[-0.0125 .875 0 4.5 ]
[-0.0125 1 -6 -4.5 ]
[-0.0125 1 0 4.5 ]
[ 0 0 -0.125 0 ]
[ 0 1 .125 0 ]
[ 1 0 .125 0 ]
[ 0 0 0 0 ]
[ 1 1 0 0 ]
] MathScale
% Start of Graphics
1 setlinecap
1 setlinejoin
newpath
0 0 .5 r
.25 Mabswid
[ ] 0 setdash
.125 0 m
.125 1 L
s
.25 0 m
.25 1 L
s
.375 0 m
.375 1 L
s
.5 0 m
.5 1 L
s
.625 0 m
.625 1 L
s
.75 0 m
.75 1 L
s
.875 0 m
.875 1 L
s
0 .125 m
1 .125 L
s
0 .25 m
1 .25 L
s
0 .375 m
1 .375 L
s
0 .5 m
1 .5 L
s
0 .625 m
1 .625 L
s
0 .75 m
1 .75 L
s
0 .875 m
1 .875 L
s
0 g
.125 0 m
.125 .00625 L
s
[(-3)] .125 -0.0125 0 1 Mshowa
.25 0 m
.25 .00625 L
s
[(-2)] .25 -0.0125 0 1 Mshowa
.375 0 m
.375 .00625 L
s
[(-1)] .375 -0.0125 0 1 Mshowa
.5 0 m
.5 .00625 L
s
[(0)] .5 -0.0125 0 1 Mshowa
.625 0 m
.625 .00625 L
s
[(1)] .625 -0.0125 0 1 Mshowa
.75 0 m
.75 .00625 L
s
[(2)] .75 -0.0125 0 1 Mshowa
.875 0 m
.875 .00625 L
s
[(3)] .875 -0.0125 0 1 Mshowa
1 0 m
1 .00625 L
s
[(4)] 1 -0.0125 0 1 Mshowa
.125 Mabswid
.025 0 m
.025 .00375 L
s
.05 0 m
.05 .00375 L
s
.075 0 m
.075 .00375 L
s
.1 0 m
.1 .00375 L
s
.15 0 m
.15 .00375 L
s
.175 0 m
.175 .00375 L
s
.2 0 m
.2 .00375 L
s
.225 0 m
.225 .00375 L
s
.275 0 m
.275 .00375 L
s
.3 0 m
.3 .00375 L
s
.325 0 m
.325 .00375 L
s
.35 0 m
.35 .00375 L
s
.4 0 m
.4 .00375 L
s
.425 0 m
.425 .00375 L
s
.45 0 m
.45 .00375 L
s
.475 0 m
.475 .00375 L
s
.525 0 m
.525 .00375 L
s
.55 0 m
.55 .00375 L
s
.575 0 m
.575 .00375 L
s
.6 0 m
.6 .00375 L
s
.65 0 m
.65 .00375 L
s
.675 0 m
.675 .00375 L
s
.7 0 m
.7 .00375 L
s
.725 0 m
.725 .00375 L
s
.775 0 m
.775 .00375 L
s
.8 0 m
.8 .00375 L
s
.825 0 m
.825 .00375 L
s
.85 0 m
.85 .00375 L
s
.9 0 m
.9 .00375 L
s
.925 0 m
.925 .00375 L
s
.95 0 m
.95 .00375 L
s
.975 0 m
.975 .00375 L
s
.25 Mabswid
0 0 m
1 0 L
s
0 .125 m
.00625 .125 L
s
[(-3)] -0.0125 .125 1 0 Mshowa
0 .25 m
.00625 .25 L
s
[(-2)] -0.0125 .25 1 0 Mshowa
0 .375 m
.00625 .375 L
s
[(-1)] -0.0125 .375 1 0 Mshowa
0 .5 m
.00625 .5 L
s
[(0)] -0.0125 .5 1 0 Mshowa
0 .625 m
.00625 .625 L
s
[(1)] -0.0125 .625 1 0 Mshowa
0 .75 m
.00625 .75 L
s
[(2)] -0.0125 .75 1 0 Mshowa
0 .875 m
.00625 .875 L
s
[(3)] -0.0125 .875 1 0 Mshowa
0 1 m
.00625 1 L
s
[(4)] -0.0125 1 1 0 Mshowa
.125 Mabswid
0 .025 m
.00375 .025 L
s
0 .05 m
.00375 .05 L
s
0 .075 m
.00375 .075 L
s
0 .1 m
.00375 .1 L
s
0 .15 m
.00375 .15 L
s
0 .175 m
.00375 .175 L
s
0 .2 m
.00375 .2 L
s
0 .225 m
.00375 .225 L
s
0 .275 m
.00375 .275 L
s
0 .3 m
.00375 .3 L
s
0 .325 m
.00375 .325 L
s
0 .35 m
.00375 .35 L
s
0 .4 m
.00375 .4 L
s
0 .425 m
.00375 .425 L
s
0 .45 m
.00375 .45 L
s
0 .475 m
.00375 .475 L
s
0 .525 m
.00375 .525 L
s
0 .55 m
.00375 .55 L
s
0 .575 m
.00375 .575 L
s
0 .6 m
.00375 .6 L
s
0 .65 m
.00375 .65 L
s
0 .675 m
.00375 .675 L
s
0 .7 m
.00375 .7 L
s
0 .725 m
.00375 .725 L
s
0 .775 m
.00375 .775 L
s
0 .8 m
.00375 .8 L
s
0 .825 m
.00375 .825 L
s
0 .85 m
.00375 .85 L
s
0 .9 m
.00375 .9 L
s
0 .925 m
.00375 .925 L
s
0 .95 m
.00375 .95 L
s
0 .975 m
.00375 .975 L
s
.25 Mabswid
0 0 m
0 1 L
s
0 .99375 m
0 1 L
s
.125 .99375 m
.125 1 L
s
.25 .99375 m
.25 1 L
s
.375 .99375 m
.375 1 L
s
.5 .99375 m
.5 1 L
s
.625 .99375 m
.625 1 L
s
.75 .99375 m
.75 1 L
s
.875 .99375 m
.875 1 L
s
.125 Mabswid
.025 .99625 m
.025 1 L
s
.05 .99625 m
.05 1 L
s
.075 .99625 m
.075 1 L
s
.1 .99625 m
.1 1 L
s
.15 .99625 m
.15 1 L
s
.175 .99625 m
.175 1 L
s
.2 .99625 m
.2 1 L
s
.225 .99625 m
.225 1 L
s
.275 .99625 m
.275 1 L
s
.3 .99625 m
.3 1 L
s
.325 .99625 m
.325 1 L
s
.35 .99625 m
.35 1 L
s
.4 .99625 m
.4 1 L
s
.425 .99625 m
.425 1 L
s
.45 .99625 m
.45 1 L
s
.475 .99625 m
.475 1 L
s
.525 .99625 m
.525 1 L
s
.55 .99625 m
.55 1 L
s
.575 .99625 m
.575 1 L
s
.6 .99625 m
.6 1 L
s
.65 .99625 m
.65 1 L
s
.675 .99625 m
.675 1 L
s
.7 .99625 m
.7 1 L
s
.725 .99625 m
.725 1 L
s
.775 .99625 m
.775 1 L
s
.8 .99625 m
.8 1 L
s
.825 .99625 m
.825 1 L
s
.85 .99625 m
.85 1 L
s
.9 .99625 m
.9 1 L
s
.925 .99625 m
.925 1 L
s
.95 .99625 m
.95 1 L
s
.975 .99625 m
.975 1 L
s
.25 Mabswid
0 1 m
1 1 L
s
.99375 0 m
1 0 L
s
.99375 .125 m
1 .125 L
s
.99375 .25 m
1 .25 L
s
.99375 .375 m
1 .375 L
s
.99375 .5 m
1 .5 L
s
.99375 .625 m
1 .625 L
s
.99375 .75 m
1 .75 L
s
.99375 .875 m
1 .875 L
s
.125 Mabswid
.99625 .025 m
1 .025 L
s
.99625 .05 m
1 .05 L
s
.99625 .075 m
1 .075 L
s
.99625 .1 m
1 .1 L
s
.99625 .15 m
1 .15 L
s
.99625 .175 m
1 .175 L
s
.99625 .2 m
1 .2 L
s
.99625 .225 m
1 .225 L
s
.99625 .275 m
1 .275 L
s
.99625 .3 m
1 .3 L
s
.99625 .325 m
1 .325 L
s
.99625 .35 m
1 .35 L
s
.99625 .4 m
1 .4 L
s
.99625 .425 m
1 .425 L
s
.99625 .45 m
1 .45 L
s
.99625 .475 m
1 .475 L
s
.99625 .525 m
1 .525 L
s
.99625 .55 m
1 .55 L
s
.99625 .575 m
1 .575 L
s
.99625 .6 m
1 .6 L
s
.99625 .65 m
1 .65 L
s
.99625 .675 m
1 .675 L
s
.99625 .7 m
1 .7 L
s
.99625 .725 m
1 .725 L
s
.99625 .775 m
1 .775 L
s
.99625 .8 m
1 .8 L
s
.99625 .825 m
1 .825 L
s
.99625 .85 m
1 .85 L
s
.99625 .9 m
1 .9 L
s
.99625 .925 m
1 .925 L
s
.99625 .95 m
1 .95 L
s
.99625 .975 m
1 .975 L
s
.25 Mabswid
1 0 m
1 1 L
s
0 .5 m
1 .5 L
s
.5 0 m
.5 1 L
s
0 0 m
1 0 L
1 1 L
0 1 L
closepath
clip
newpath
.5 Mabswid
newpath
.5 .5 .03225 0 365.73 arc
s
newpath
.5 .5 .03225 0 365.73 arc
s
newpath
.5 .5 .16275 0 365.73 arc
s
newpath
.5 .5 .16275 0 365.73 arc
s
newpath
.5 .68386 .16275 0 365.73 arc
s
newpath
.34078 .40807 .16275 0 365.73 arc
s
newpath
.65922 .40807 .16275 0 365.73 arc
s
.5 .5 m
.5 .5 .01 0 365.73 arc
F
.5 .5 m
.5 .5 .01 0 365.73 arc
F
.5 .5 m
.5 .5 .01 0 365.73 arc
F
.5 .5 m
.5 .5 .01 0 365.73 arc
F
.75 g
.01 w
.5 .68386 m
.34078 .40807 L
.65922 .40807 L
.5 .68386 L
s
% End of Graphics
MathPictureEnd
\
\>"], "Graphics",
 ImageSize->{641.938, 641.938},
 ImageMargins->{{43, 0}, {0, 0}},
 ImageRegion->{{0, 1}, {0, 
  1}},ImageCache->GraphicsData["CompressedBitmap", "\<\
eJztndtuHMd2htukSJo6WAdbkmXJJi1Z1vlo2ZYteZOWLHFo79wnyJVjBNg7
gZFghxe5CYSd/Rp8iuQBeBsEQYAgyDVfIXmCCbtmeq3unq9Kq6e7Z7rJGkij
UR3X/3dVddWqVav+7Oed3/31rz/v/P6Xn9e3/vDz3//u97/8w/rrv/vDQdDi
O0my8Mf073qS/h4mSfY1PPgz+vpT+pUkf+X+OZbs7w4S+ezsDVzwcjLc20mK
n51kbzjcyqKHe0kxwSDZ3R++gkIHu/vb4Vxb4ToHLOmPE8GusHdG8H7Oytzf
TQaD3WQEPq3epRqVuZiM8rpqkp/GYakYB0K7/71230vJ7k5WxPAgzyj9j5B+
G8rdDotCxYxB/DKOynjZ2SvWSmFZEa/ynA9U+r0db62hovMiDPJFTz7OsfB/
WSot/Sy472VXSiaQ0DHYfVExy97e0J9lqZhljPN1dVqkXYxqLFKVKyZrp6kk
rupRGQulBqlPfvy72LEmGkmuDyyO2t5Ytq2sbQ4mSsu1Q03vb4fQtSeKzNBJ
9G4eXTaauLKliw63Q+OBPjRFM1FCuU2mSSd7fq5Ufwnj4LSEsdQTg2JnA94f
BSTj4fzX9GsxF3XwHxc5bs2nIOzkDNLNoo6ILWKri+2d2HUitoit4a7zE4T9
WCOs6fIOu+hvoAhrWHvlRdGj6FH0KHoUPYreQdGPpRHVC2tPYKdoccUFFvh9
YjiKHkWPokfRo+hR9Ch6FD2KHkW3iR7n5rFxRNGj6FH0KHoUPYoeRY+iHyrR
4wQ3No4oehQ9ih5Fj6JH0aPoUfQoejdEj3Pz2Dii6FH0KHoUPYoeRY+ityH6
ivtn4nD/u/1FtOz+8R73X+kvsuyh5H0BuLAllzgt5pEra3H8HN+MSk6/H6Zf
bko9nrwmlTwDHIb2wOfqe9wesr5bOnDf42fV44E0ih5Fj6JH0aPoUfQo+lEX
PSqvY+OIokfRo+hR9Ch6FD2KHkU/VKLHCW5sHFH0KHoUPYoeRY+iR9Gj6FH0
boge5+axcUTRo+hR9Ch6FD2KHkWPoh8q0eMENzaOKHoUPYoeRY+iR9Gj6F0T
/Wb6fTnNuVIDxJKUcrs+HDkHxrcc1zkHdi39dofwLsuvhVq4C0Vdrw8+Q5e/
F3m1BuJPisK5X1T9NqRbrw8nO+KWvylZT0L+S1qM+/VAfr1yRS+On/joYOQP
xXRuVfGv8qv6Ocm9emfvLqbfrvxHvr7gYl9CHS8klvrb/fTbZbjUYD/ia4zr
9KPzguILiF2R2O+hjg3BuAp5H0nei011pon7j+s8+3Mi/ZcQuyqxv4E6vhNs
JyHvF5L3g/rI67wSzoiYTyH2pMQ+hzqeSex7kPcriT03X4jviSDfGmO1jqfy
nM5A3qeSl2JnCPGEiPkcYs9I7NdQhz6n9yHvt8FnPEOIqyLIBsS+L7FfQh1P
JPY85H0u9JyYL0QaSsPDsNbxWGJpKN2QWBqGZwiR3pfhd63W8UCeE70vv5e8
4blt6xAXRMxXEHtJxHwAddyT2CuQ96XELs0b4sFnABGXRcJ7UPwdif0E8r6S
2MX5oUs/VNXHItwdKPk2hBHELfd9rJDuIP637WPL0hK2NSjvJoTdgrA1KG9Q
SpfGtQRxWx4LVbAusQTnhsRerVzy20T3boVYubkKFVyHsM8hjOCU20JQvkXt
hOYnUaFpX4MiPzPivebFdqwQdvDZbqfJVR+mPpMchPKaxH5uxJal32oH4A+Q
zgqVmuOnwSZKTTlcxyLk/SGYd2oqaE1/zCjmDci7DmFEzw1jHccgL82rGqCi
+vTqpuQg2GsSa1UiLkEpL9oBuwnprLDpLfmJMcxKxTLkpSVDA1RsQLp3jWLS
tOhjY9gdYx2k2NoM5p2aCtLyWJdTNGu8Ygy7a6yDNF0bwbxTU/EdpDtuFPMu
5L1sDLtnrIOU6L8J5p2aClKMWfUIutwjsB9B2H1jycel5JZgP4N0pOgk4Wjl
+yGEXYKwB8Y6TkLeZ8G8U1NBesNTRjEfQt6LEEb0PDTWcQrykia0ASq+gXRW
vSGpfC4Y6aGtGa8quJT3m2Deqal4CulOG8V8DHnPQxjR89hYx2nIS1sADVBB
WmerwtxKBYXRdlWbVHhX/V9BxrNG4UjZ+4Ex7ImxjjOQ92tIN7V2gJTy1l2h
J5CX6qUw2rajOs5C3q+CeafuDHWoCOdthgoqL5x3airCTzYsZrhLhekJP9m5
UBHu5WExw8NrmB7q5VQH4QiPLlNTER7xm6GCwsIjvobRQBt+08yFivD8oxkq
6KUbnn9MTUV4dhgWMzwrDdMTnh3OhYrwmiEsZnitEqYnvGbQMJqVhifoU1MR
Xkk2QwWFhVeSGkZrlfCybS5UhBfzzVBBK9jwYn5qKu5DOquJnZUKCiPbmzlT
QdvwHxnFDGu2wmHfGesgFU9YxzU1FWG9Y1jMsL4zHBZWwGkYqfvC+s65UBHW
gjdDBWlDw1rwigvysDq+GQIobKNhAqZekNchYAPy0t5DHQJoHyS8JTR1Zwjv
UjVDBYVtHi4qNiEvbc5RWHjv8g3IkoDMjVIR3sZthgraxg3vaM+FCjKeWjOK
SWcCCHYdKmgn/VYw71yoeAF5yaahJ1SE7VuaoYLCwvYtGrYGeW8G886FCjez
dIfprO+DGQILm3OFxXQ6JHeMixo0WS55w1wp1nVmT+hxylM3P6WVJNm4ET2r
Qo9Vp70OpYTNzaamh+w332abmoU9EGCknyR6KOy0lGLdIO4JPW4t4LKSsm0B
wogep8kunUUI10vGimG7zbnQc1uAkX7BSs8FIdlqgTVDerymxAYx9dDvaG2x
VCjFiXHwofHG6SjcqBUeUjUsbMhup8S7lK9DhNpef1qRiE+kbViPgVuJmHpJ
HzarNzRcR8S1ABHUSa6Wcs6uRbRMyZoAu16REmqR1ulgdYnnQo4eh7oRIIcG
WpozrR0uckhhMxouy8djkCE9l2TlpfoQOBdePhJgd+xsuNWrC7KqJ2fIRvWh
TMM+FDbK21U+Ku5KDusOTvU51FyouCDAylvbPiruSw7rFucMqag+C9QwMiMY
kbJUICX7l+yGrBYiPaGE7G30tHs2SxpH1rGjqr6cn5qP6stMDTsn2J0tmitE
fTgcMrDqnuRrAateN6x2kz0BS/ZHCpvsVawG5T0hgKyO1AMLmWZYDxc0QIB4
WHJelfKfQbK7b/awVIefkjue0i8rF9XV1RNc5D19DXb33f+sjpbWIJ1Vm0Cm
JmSmQvYa1kNZbdLjXuJ/64pZHDeekdOzf4aw79Lvscebydg/QtjfpN9vdZO2
VHSTNpbR6neuzuPzHstzgm1CrPV8ZQMPTZ3x7SR7MyTFe2zT61TNev62+m6l
l5SsFc2KlGUh4AX8miEB1tde9Z1XDaNtTvfcXRD5Y7D6/+kJAaRhfSEEvIJY
qxeGnhBAasSXR4kAWuS7hk+LvDoeSqrb9cyIj6VCWAZ3y8cBtYmwc9vDx8Fr
yZSUMrFTpc7invBdNPBBruBmqbNoNSz9qKOtElSrq6yu4lwQdB7dXV6gLHcz
poitA9wG0UNQf4Jy5zwyWQ0op4ca9rrXFFTvxrgVIPWzH40AJ5tydYBTb3hb
AXrGzLdjNLmU62CTDb0XDy9qZ+L1nwdL9z06jdtBgd0mxn+kAtNJ6ihwfYFd
Q/j3VGA6tt9BgR2v/5YKTPacUeD6AruGsJwKTAp70qsMxjH+EbOYnpQZy1Ir
OVzoNE3h0xrT0+S19+8TTV+JwPTUyWVkEzQdk1rJUUMHlwuOppVUYFJ0NUET
tdIFqbUnNH0tz5XUYaT0rkpTdkdKvtysTvJ00UGSnorASVFfQFtFVfkp78Wk
tSyl3+T7ouvk5BMTOV7Ni2WXaibMeNe2Vj6+ET5o97cSAatSFJ1Ean2xOwfE
7pGv1EU8w9b/rWA/3gh2VxQ59egqdvewvF3dFUIa1BUBS247OriD9EwEPgJg
n4vANAMIg9V1B7nemCHYNUhHtgB5G6/0FZP+PebDrmr2Q4c9/SWvWK/reS92
XUiVxjoazTpIBdk6Lk9HhVssrRipaMCMqB0qeMpO63ADG8u+lRjN5fpDiXvI
XssYLyWLQgmt4edMyTqkI2tRcnGowOqQQgoIWir2hBTtAF4LGi8pC9DxekcK
+QXV1wWREp5iVCelg8boRIrOH8i2qEzKxBVNpRlbAnU1T4l3wWwlghzo6ozZ
QkR5tt0CC1Mvoq3HkIgFXRGSmVWlxWVp5TKbpjELeorTrDcql4UZme4eh+J7
wgx5JT8uDafEjNWKZCpyOnj0k8g5kSdnUnO7WCCFtOL5W0gLC0Zyq0O7Sn0n
iq1b/FytVCGngyfLiZyTQs52RTZcJjp2RtvZh5mNLclEpxB7wgbdj/GeABv1
FLsfj9eVKemggwovJW4c8FuKMSWvhBJyy9VjSk4LsPYpmaEDHGsfJUrOCLDy
WYP0c8w3kLyUbNbrU3rHh4PoJcBFvJQuZmWhg67V6H6ec8LCZvqLJvZe73yO
mU0pwHpLUe+Y0SOtRIXf/dyERtOV8Z2US54w5kyYdQ3mveqptMdqoanc3Wx5
dXPYSqNVZzK1UqY2eStit+NaCqlqrZRRupI1yZti5aXEZBJsZXBqhU5tBsfp
CitHUgZW8ldLYe4B1SZ0DdLN2amx5RI30V7QcsVr4WhIR2FP8iQ7yGMprDck
9p1kmrxYybOGOct6UvdZSe6g03ar76jl4hmTMFFWZ/eU97G0ZFI5W8eMGTJt
tYuyMu0aGF2CF7a2rs70I2GatjisTM/wTobbkI5u6vAzzRtWdM0eEWa92YPy
Pjx6ZBfT6ZYpXeVnpZt21SjvfamNNnett1nOkG7r3UTN0E1DifUKH6LbXdm1
UpfuGV760zTdajpC9/ARZdbLo+hR3ZPayMjlyNMdOIx28LGSfFfqIIszK8lN
3epmINl6wZ2VZLUaogsVvauV1TSEWjfluBNJHo5HTiqZFBSO5BNpCL0gieTb
QjJZklpJbuCqxuwk1v7uIMk+g919qxNF672eVu7VAozGJ+J+WbgnmSlHM9w3
cGPoyhjy7s6uRDmvf0OeadEDsN4xa19UZuTQbJMUmivyAGgY9/pS954ksD6A
Bm6vLbhSHehD2NtRV6r/l+Zzwv7TqIMf/Prf9NeivQzDc7Rem2xfsmYc3xq3
snwOJ/nBx1nxnNRnx6m0w9AxF+vzauAOaukwA8ftiPOkWoex3lreFtEjw6kJ
WwjtE3RmzMpxA1eeZy+E4f5ukr0SdvaG1hcCLdwvQDorvWruWFbqpB9nYnJc
fpVim+GUXOE/hnQNzGRIxURe9CuR50Ysp3t0uv9TQtkpCbspRNFhzSNAlB6q
JSWtI+rdNIQstG40Qp41XQPkWUmxplPDUtpGcJTpDXp6Wc9y0QCwOhVWDV0D
lFn2PaajrLxzmH7OQillo57046wEVurSaDUMaYBG2hGiuxOsNKox6sigZuKt
6mdyIulnUtapo05m6O41YvR0IP01KZWuBbB2Yao1fNPo1LTS1vBZSGelVa1g
yRyGlkdk5UlhlHe9EbrJgpDMshugm85wnIF0leh2Y+Ia5CBVDL3TKcx7/WLJ
NLc63fRw6SxFA3STTQmJbn3hnRICiG5Ssp8yhtGW6RV5uD2hm05+Use00q1G
5LQP5lU+nk1DrFull6UO6odWkqkH0SHMBkimQ/r0Dq9OMm3HjNdUCesbXat1
SwU6IHVJSqY3ipVa6i10PLwBap0rCF02TkmoGrVfkvIcUW7KsCBhdKsOqUuG
+Qvd9Xrl2sSekPLIJcvU5pVkVUpLxep0fhggh5Sx1GKpnZYeTin2gtRP000r
2VQv0T61TSbdvUR6ICvtanfPd50ffOjN4jWZ0LuyyHg9TLJ1meG96Kj5oeI3
kI7UxZXoXhH7fNca9cpBr5GV3sfncqhtN9VhpdF7NVLzNG5AOtolsdJ4Vgg4
Kx1Jr3z1Wmq7oJFaXIeX8af0ZKbklJ7gZjucbgpeYtK6jtZzFaeEoVKndTuf
bivsslSZSyIdvmT+X528JSn+ZTuUvYB0ZNhSnTx9ydLe7BqErWMjTZKcFo10
v1YuaV3XEqsvIR1ZZ1lZ1dFN3ygEhxj0aiO0o3iptapj6An/AOkaoNZ6F1N1
al2zdxlotCQa6SDholCrJg60L2alliZmryBdA9Rar3iyUvuBEKDtjd4GRCOd
rdVzLWqDVo3aCRtkV9pWO3S+lgqIRKv60ZGYHXzIJ9ZXAx0i/Exil3O/Dkqh
LXALYeMP3c3RAFeF+6emoem8tAjFS7tUn0vskhBLlHg1oy4vQWiABSrCSoCu
I3QEouMRtO+pBstkiRI+Zp5I2tZJeSNpq5PiNU8yhJF/axp3iKjyWJmmJ79V
DRM1HGYebJLEf7ichpr8XLZwSrFUAFmN3ZYCyq5A0w9RRgvpJ1KK9X7BFsiT
buEEoU0Jv9KUfWeSBaWa4NJszqsTKqV7LHJaL+mcWsVFYSQ6GV8RYTR315c7
meW6NlbyvBmehhBlZL1kJW9qRRUV5j2vVAqjfRC1s1gWUsiaVs36vBMqK2/h
80Nz6aX6vrfyRsCUChr7iFU1OtNxgvayrBLck2ZlvW26JULfFUHI5ph2tWgP
aEFK0bMM9M5QGvURUKew1ntXSiHV+wxpVP0HDWME56Tk0CmcWp0SeWrPtyJ0
a14rZfraps2fGVKmhooEluCMnjH7MVGtkXcerDajXkUVtSLamLslpVCHnyGJ
p0UQgk1PuLxDk35cAWrSQkWpcZ8+N5pm014MMfi5NGGays+QQVWgk7sPYtAN
ma4V6uYRLbRceWrXsCTNlEaCUt7rQjIplGdIzwciOiluyEJxSXKcEwK8i3Pd
xHE56OgO0bMuOWidMUN6dOubtLFEj47YSXGbQZUaxNZ1ifXs39DEjKj7ROqn
03QzpO6yPEMyyMiPxNnHpQjvXVMfVurocNGSFF1+0RTTfSTi0uH8GfKmbZ/O
3qxILE1PLwaJUmNZOoJ4TEqm/efzEht2b9s6PWPz6SRB42oXQWs/mg2o/YlX
6Rpmq1THgohW6vru/eDsi8IewFonz01ez6U5aeiirvdRkCO1E6Y+Tjs5qyJB
+NRf61T4DU2WCumy56hGo+QG8uro0WcmfqUJaAl+KW/YtKN1IvwmIBN3ea8J
StrRuSoMrUv2JJf9DQ27TYGvpOSyWL2kn08FEeHV2PLUKS2DLKU2jPI1qpTa
gLx5pUQWftULp12wLTXrMGxqtQR7XWLzvT6rh8rbnC/sTci7DKLr2432wrWj
06hPM4/vDw3s0vRJO0gHYX8Pecsa/DS9rsVoGaOvtvL0JP2Q/u6FUb4ZwiYn
uAd5dJG+ZkA+8caj7ZA5gx9V/zYX45pel0fEwMcSe5MZoIlz2NCqdQZe4qNG
8NrwyZFhGTzP/Lx+yufNQL6P86onDP+KxI40gisIP/v39XwhW03FVJFJh22c
UmKlqATVvNXNszrzpA2wcxsPnX7SFbq36v1p/alr19GWX2+6d9Uh/qa0anLg
VaahD0N8hTe8ml0QeNXx3GXwbb7hKy1KaQpbnnul6dWdHumlynibm8s1uii1
ztfvBMF+KLF5/2lZig7O162w9RmTwzKn5V3xmSF1EPYG5KW1sz5tL+wJ66sO
r8XDsLWh6tOmDQzd/Cg/7Y5qXqzatbvSjGmj4xDBnnjn6AMn5LpReE+yF954
bepRpwRfVZuuDNCxTDWTvytllGdCb3AXr7M0vH2hobZTXkp0Euc1EKWOET4X
3Top1pPUNA1VUshPmR73IZu+Q0YPTVR1/dMMPdSlnhtxzJkemtoqPeQJSk83
Ej1kb9FBep5BXtrbpVmh0xmUjgQTPbchlrxMkznKMyOOAD0FX61J/lPJV2sd
9qgO1bgQe3qCm9iz2kE1wF424Rzu7aQuot3/rG5BqSqr3xaqQymjowJ6Qp0M
FMmOetaUuXnIf7tiFsdN8I37eyn9Hh9TO/g1hjiZ7ozE3pQclyHdf6Xfbt63
2M5TtLo4ohFPNxS8buW8NpNWA9ywZxzTU8z6mPPNPaaNzC+apowa5WfStOlY
mVJGloE0HlX301SJsrSVpZ9ZUaYmx9q2iCh1w6AnP8lAuyV66rynrS7c6DCJ
WllRrJJCe/XWOsKu1DpDD7UKteAgYOrrjuihY2wdpMfqb/GsdAvy4FkaU9SQ
y+WwHlDsCRVUx/rbSfFaex0yemhBpPTQK7nsabYYS8cYOkhPJQ8EavdfctdM
pHwqOSp5IOg+FRcF2JqAJSqOS+y65KA7TXpMhZ4GUcMhmiGvSpsJn8boMRW0
16pWBl5SvLYoRE91/9Gt02P1lnNFnrsa2ZDuUT02qd043XnaYyq0C6ghQpgK
dcO2frioKA2MDiytr/ScsEvnIunYTZtUVLJdsBJwVeC4PQ43RJIaQwnQt891
KK+6434Na9SewUqAnvvUXT6vR2LdDCp5QGqGgJY6g9XH5Q0Bpntb3kuAVUvt
Isl4r8dUODhOuaiqIC8Vqh1xXZSuZ+wxFfelVaheg/Yu1A/Fe9Iq6F6yHlPx
UFqFTp3CVKxKDrrlxOrjuYNUfCnAtAt4veBqrMtBK84eU/GtACtdE80sJOwW
vccEbOaaezJ2TkbWqj2G+L1AJJvX4fh12BPQ5G6NtEVvBe3iyBFtj0G/EGBk
EuQi6ABCRNwjxC8FcVJ0C+DC6LBF9WsFuwU27+F2b+x6bWkeYCstYq0Qf8g/
zzxE512O/A/XgdjoMtUK0fXAEymcweFqnocWmOtZqykwcuocgXUPmBso3EhJ
pURgEVgEVheYGzIWU2DkprvHwKh6qiNCjBAjxAhxRhDbXKW3spabBbC5rOC6
8MSmhGjVkkaIEWKE2C+IPd6OjRC7DNFqgBMhHiWIPbYVjBC7DNFqJt0FiJUW
Tl0C1ujCqWlgPbbdjxAlrINHlKwnuCLELkO0HmiNEI8SxA4eTLee0Y8QuwzR
6pXFCrElnxwR4kwhtu2Qaa/ojilJdpK94UwcMs2ZAfUtI6hrOUppGnZLjsry
Xogc8L28Y6T/ccUsjpvCyJHRn0PYX0CYc6qUd3iUsZk6/drbG0lRp2FZ3chZ
GT4O6RpwJChda383GQx2x9Gp37PaXcvqm3LODIwgHkv2R33LfQa7+3WcXfUE
eZ03h8XnbhWIvbqnLEL01EGdZmO+EDcgb/iK9CMPkQb9zflC3IS85NPSCrGD
PuubhtiTa7TIr2uPIb6AvOTZ1wqRjtt27C6oopgRIqQjT+N0sLT13TbrpVZW
YHUusGp0t+0V5F2YE7CWGmV9iHw1Ah1MmyGs1yJaUhLtTfLbowBl4rYOOnc2
QxRbIlWSR9AfAINS3jD9mjf9WAfSlkTfzuXNwn96S3lZ+JxFp2K9Yc7hDh2R
movAxKGWt10KKzanuYs+2XJ7IHpgyNAiB5LUMxDNEcDb3j9a7pakD70UegHl
NYSFZyCd6B1FMWk+Fw4LT5A7AzG8yAiHhRc39SBWWqBQWHiB2B6wRhcoFBbW
X4TBhpUKnWmUYUVbGHZYNdQZiE5J5yY0BGxTYsOK9c7ACW9TkNI7gbydhngc
yqM9O4J9vEa9M4R4QpodAXsusWFrj87ACdvOaBjZNfQEYtjIKww7bFzWGYin
pdkRsKcSGzaw7gyc8FEDDSPr455ADB/ZCsMOn8DpDMT3pdkRsCcSe74fcOhe
zscQRuf6ewKRrqt9ZIR9oUa9rS901Pc8wXmQfrsguuWkM4savbPkAZR8T2Kv
9KOxXRa+7kLJdwQOXaLRQTh6OcZtKPmWxK73A846lEd3GtLVkD2B+CmU97kv
TK9i6z4wdzfHUlHgpBjrRlS6h6ODcPR6CXpia+m3C6KrJDoI55YITLcn6eVB
dB1EB+HcFYGvQMl6AdD9fsC5L33nIpR8QWLphooOwvlCBKYFx1mJre4tYi5w
norApLc4KbHVT//MBY7TIF1JS9voh8BUVdPlHRLRa69Zmha49fVJbBxR9Ch6
FD2KHkWPokfRZyE6nTFNdvAizp4g8p8bHiS7+7XODc8ZWfZQMl8DxTPnzm7v
kStrcfwcRwfKXcTD9Mt3qnxnTFOPuZGnrk86aei0eEd6qGvP0kGHPe6hPR4u
o+hR9Ch6FD2KHkWPojcietTzxsYRRY+iR9Gj6FH0KHoUPYoeRe+G6HFuHhtH
FD2KHkWPokfRo+hR9Cj6oRI9TnBj44iiR9Gj6FH0KHoUPYoeRY+id0P0ODeP
jSOKHkWPokfRo+hHXfQkWIQ1rOny+i/66BxR/gCg95ic12VIy+lmUUfEFrHV
xTbuUXKycm8nva7V/S92p4gtYpuqOxVP9uY/+qIaunzp16/p13h5np2cTc9L
p2elxx1yOMpx8Pcfi+nk7PAup5M7v8cncV3nLifSgD95ApJ3/h+uqy+v\
\>"],ImageRangeCache->{{{0, 640.938}, {640.938, 0}} -> {-4.25533, -4.22621, \
0.0129407, 0.0129407}}],

Cell[BoxData[
 TagBox[
  RowBox[{"\[SkeletonIndicator]", "Graphics", "\[SkeletonIndicator]"}],
  False,
  Editable->False]], "Output"]
}, Open  ]]
},
WindowToolbars->"EditBar",
WindowSize->{927, 964},
WindowMargins->{{449, Automatic}, {Automatic, 0}},
PrintingCopies->1,
PrintingPageRange->{Automatic, Automatic},
PrivateNotebookOptions->{"VersionedStylesheet"->{"Default.nb"[8.] -> False}},
CellLabelAutoDelete->True,
FrontEndVersion->"9.0 for Microsoft Windows (64-bit) (November 20, 2012)",
StyleDefinitions->"Default.nb"
]
(* End of Notebook Content *)

(* Internal cache information *)
(*CellTagsOutline
CellTagsIndex->{}
*)
(*CellTagsIndex
CellTagsIndex->{}
*)
(*NotebookFileOutline
Notebook[{
Cell[CellGroupData[{
Cell[579, 22, 3066, 95, 1705, "Input"],
Cell[3648, 119, 321, 9, 31, "Output"],
Cell[3972, 130, 63, 1, 31, "Output"],
Cell[4038, 133, 45, 0, 31, "Output"],
Cell[4086, 135, 45, 0, 31, "Output"],
Cell[4134, 137, 45, 0, 31, "Output"],
Cell[4182, 139, 46, 0, 31, "Output"],
Cell[4231, 141, 46, 0, 31, "Output"],
Cell[4280, 143, 46, 0, 31, "Output"],
Cell[4329, 145, 45, 0, 31, "Output"]
}, Open  ]],
Cell[CellGroupData[{
Cell[4411, 150, 2401, 45, 812, "Input"],
Cell[6815, 197, 134, 4, 31, "Output"],
Cell[6952, 203, 19530, 907, 650, 6617, 693, "GraphicsData", "PostScript", \
"Graphics"],
Cell[26485, 1112, 134, 4, 31, "Output"],
Cell[26622, 1118, 134, 4, 31, "Output"],
Cell[26759, 1124, 18739, 890, 650, 6599, 689, "GraphicsData", "PostScript", \
"Graphics"],
Cell[45501, 2016, 134, 4, 31, "Output"],
Cell[45638, 2022, 134, 4, 31, "Output"],
Cell[45775, 2028, 17305, 860, 650, 6503, 681, "GraphicsData", "PostScript", \
"Graphics"],
Cell[63083, 2890, 134, 4, 31, "Output"]
}, Open  ]]
}
]
*)

(* End of internal cache information *)