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@ -28,16 +28,15 @@ with this program; if not, write to the Free Software Foundation, Inc.,
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See the full license in the file "LICENSE" in the top level distribution
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directory
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*************************************************************************************/
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/* END LEGAL */
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/* END LEGAL */
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#ifndef QCD_UTIL_SUN_H
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#define QCD_UTIL_SUN_H
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namespace Grid {
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namespace QCD {
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NAMESPACE_BEGIN(Grid);
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template <int ncolour>
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class SU {
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public:
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public:
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static const int Dimension = ncolour;
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static const int AdjointDimension = ncolour * ncolour - 1;
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static int su2subgroups(void) { return (ncolour * (ncolour - 1)) / 2; }
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@ -48,7 +47,7 @@ class SU {
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using iSU2Matrix = iScalar<iScalar<iMatrix<vtype, 2> > >;
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template <typename vtype>
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using iSUnAlgebraVector =
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iScalar<iScalar<iVector<vtype, AdjointDimension> > >;
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iScalar<iScalar<iVector<vtype, AdjointDimension> > >;
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//////////////////////////////////////////////////////////////////////////////////////////////////
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// Types can be accessed as SU<2>::Matrix , SU<2>::vSUnMatrix,
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@ -238,7 +237,7 @@ class SU {
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// this should be purely real
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Determinant._odata[ss] =
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Sigma()()(0, 0) * Sigma()()(1, 1) - Sigma()()(0, 1) * Sigma()()(1, 0);
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Sigma()()(0, 0) * Sigma()()(1, 1) - Sigma()()(0, 1) * Sigma()()(1, 0);
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}
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}
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@ -273,11 +272,11 @@ class SU {
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//
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///////////////////////////////////////////////
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static void SubGroupHeatBath(
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GridSerialRNG &sRNG, GridParallelRNG &pRNG,
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RealD beta, // coeff multiplying staple in action (with no 1/Nc)
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LatticeMatrix &link,
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const LatticeMatrix &barestaple, // multiplied by action coeffs so th
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int su2_subgroup, int nheatbath, LatticeInteger &wheremask) {
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GridSerialRNG &sRNG, GridParallelRNG &pRNG,
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RealD beta, // coeff multiplying staple in action (with no 1/Nc)
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LatticeMatrix &link,
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const LatticeMatrix &barestaple, // multiplied by action coeffs so th
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int su2_subgroup, int nheatbath, LatticeInteger &wheremask) {
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GridBase *grid = link._grid;
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int ntrials = 0;
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@ -293,7 +292,7 @@ class SU {
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// Subgroup manipulation in the lie algebra space
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LatticeSU2Matrix u(
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grid); // Kennedy pendleton "u" real projected normalised Sigma
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grid); // Kennedy pendleton "u" real projected normalised Sigma
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LatticeSU2Matrix uinv(grid);
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LatticeSU2Matrix ua(grid); // a in pauli form
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LatticeSU2Matrix b(grid); // rotated matrix after hb
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@ -314,41 +313,41 @@ class SU {
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mask_false = 0;
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/*
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PLB 156 P393 (1985) (Kennedy and Pendleton)
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PLB 156 P393 (1985) (Kennedy and Pendleton)
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Note: absorb "beta" into the def of sigma compared to KP paper; staple
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passed to this routine has "beta" already multiplied in
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Note: absorb "beta" into the def of sigma compared to KP paper; staple
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passed to this routine has "beta" already multiplied in
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Action linear in links h and of form:
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Action linear in links h and of form:
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beta S = beta Sum_p (1 - 1/Nc Re Tr Plaq )
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Writing Sigma = 1/Nc (beta Sigma') where sum over staples is "Sigma' "
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Writing Sigma = 1/Nc (beta Sigma') where sum over staples is "Sigma' "
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beta S = const - beta/Nc Re Tr h Sigma'
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= const - Re Tr h Sigma
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beta S = const - beta/Nc Re Tr h Sigma'
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= const - Re Tr h Sigma
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Decompose h and Sigma into (1, sigma_j) ; h_i real, h^2=1, Sigma_i complex
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arbitrary.
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Decompose h and Sigma into (1, sigma_j) ; h_i real, h^2=1, Sigma_i complex
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arbitrary.
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Tr h Sigma = h_i Sigma_j Tr (sigma_i sigma_j) = h_i Sigma_j 2 delta_ij
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Re Tr h Sigma = 2 h_j Re Sigma_j
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Re Tr h Sigma = 2 h_j Re Sigma_j
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Normalised re Sigma_j = xi u_j
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Normalised re Sigma_j = xi u_j
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With u_j a unit vector and U can be in SU(2);
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With u_j a unit vector and U can be in SU(2);
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Re Tr h Sigma = 2 h_j Re Sigma_j = 2 xi (h.u)
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Re Tr h Sigma = 2 h_j Re Sigma_j = 2 xi (h.u)
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4xi^2 = Det [ Sig - Sig^dag + 1 Tr Sigdag]
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u = 1/2xi [ Sig - Sig^dag + 1 Tr Sigdag]
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4xi^2 = Det [ Sig - Sig^dag + 1 Tr Sigdag]
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u = 1/2xi [ Sig - Sig^dag + 1 Tr Sigdag]
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xi = sqrt(Det)/2;
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xi = sqrt(Det)/2;
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Write a= u h in SU(2); a has pauli decomp a_j;
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Write a= u h in SU(2); a has pauli decomp a_j;
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Note: Product b' xi is unvariant because scaling Sigma leaves
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normalised vector "u" fixed; Can rescale Sigma so b' = 1.
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Note: Product b' xi is unvariant because scaling Sigma leaves
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normalised vector "u" fixed; Can rescale Sigma so b' = 1.
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*/
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////////////////////////////////////////////////////////
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@ -386,7 +385,7 @@ class SU {
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xi = 0.5 * sqrt(udet); // 4xi^2 = Det [ Sig - Sig^dag + 1 Tr Sigdag]
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u = 0.5 * u *
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pow(xi, -1.0); // u = 1/2xi [ Sig - Sig^dag + 1 Tr Sigdag]
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pow(xi, -1.0); // u = 1/2xi [ Sig - Sig^dag + 1 Tr Sigdag]
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// Debug test for sanity
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uinv = adj(u);
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@ -394,36 +393,36 @@ class SU {
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assert(norm2(b) < 1.0e-4);
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/*
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Measure: Haar measure dh has d^4a delta(1-|a^2|)
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In polars:
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da = da0 r^2 sin theta dr dtheta dphi delta( 1 - r^2 -a0^2)
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= da0 r^2 sin theta dr dtheta dphi delta( (sqrt(1-a0^) - r)(sqrt(1-a0^) +
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r) )
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= da0 r/2 sin theta dr dtheta dphi delta( (sqrt(1-a0^) - r) )
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Measure: Haar measure dh has d^4a delta(1-|a^2|)
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In polars:
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da = da0 r^2 sin theta dr dtheta dphi delta( 1 - r^2 -a0^2)
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= da0 r^2 sin theta dr dtheta dphi delta( (sqrt(1-a0^) - r)(sqrt(1-a0^) +
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r) )
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= da0 r/2 sin theta dr dtheta dphi delta( (sqrt(1-a0^) - r) )
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Action factor Q(h) dh = e^-S[h] dh = e^{ xi Tr uh} dh // beta enters
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through xi
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= e^{2 xi (h.u)} dh
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= e^{2 xi h0u0}.e^{2 xi h1u1}.e^{2 xi
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h2u2}.e^{2 xi h3u3} dh
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Action factor Q(h) dh = e^-S[h] dh = e^{ xi Tr uh} dh // beta enters
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through xi
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= e^{2 xi (h.u)} dh
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= e^{2 xi h0u0}.e^{2 xi h1u1}.e^{2 xi
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h2u2}.e^{2 xi h3u3} dh
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Therefore for each site, take xi for that site
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i) generate |a0|<1 with dist
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(1-a0^2)^0.5 e^{2 xi a0 } da0
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Therefore for each site, take xi for that site
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i) generate |a0|<1 with dist
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(1-a0^2)^0.5 e^{2 xi a0 } da0
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Take alpha = 2 xi = 2 xi [ recall 2 beta/Nc unmod staple norm]; hence 2.0/Nc
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factor in Chroma ]
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A. Generate two uniformly distributed pseudo-random numbers R and R', R'',
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R''' in the unit interval;
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B. Set X = -(ln R)/alpha, X' =-(ln R')/alpha;
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C. Set C = cos^2(2pi R"), with R" another uniform random number in [0,1] ;
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D. Set A = XC;
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E. Let d = X'+A;
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F. If R'''^2 :> 1 - 0.5 d, go back to A;
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G. Set a0 = 1 - d;
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Take alpha = 2 xi = 2 xi [ recall 2 beta/Nc unmod staple norm]; hence 2.0/Nc
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factor in Chroma ]
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A. Generate two uniformly distributed pseudo-random numbers R and R', R'',
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R''' in the unit interval;
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B. Set X = -(ln R)/alpha, X' =-(ln R')/alpha;
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C. Set C = cos^2(2pi R"), with R" another uniform random number in [0,1] ;
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D. Set A = XC;
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E. Let d = X'+A;
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F. If R'''^2 :> 1 - 0.5 d, go back to A;
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G. Set a0 = 1 - d;
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Note that in step D setting B ~ X - A and using B in place of A in step E will
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generate a second independent a 0 value.
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Note that in step D setting B ~ X - A and using B in place of A in step E will
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generate a second independent a 0 value.
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*/
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/////////////////////////////////////////////////////////
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@ -518,7 +517,7 @@ class SU {
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a[3] = a123mag * cos_theta;
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ua = toComplex(a[0]) * ident + toComplex(a[1]) * pauli1 +
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toComplex(a[2]) * pauli2 + toComplex(a[3]) * pauli3;
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toComplex(a[2]) * pauli2 + toComplex(a[3]) * pauli3;
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b = 1.0;
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b = where(wheremask, uinv * ua, b);
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@ -616,7 +615,7 @@ class SU {
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typedef Lattice<vTComplexType> LatticeComplexType;
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typedef typename GridTypeMapper<
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typename LatticeMatrixType::vector_object>::scalar_object MatrixType;
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typename LatticeMatrixType::vector_object>::scalar_object MatrixType;
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LatticeComplexType ca(grid);
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LatticeMatrixType lie(grid);
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@ -675,11 +674,11 @@ class SU {
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out += la;
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}
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}
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/*
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add GaugeTrans
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*/
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/*
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add GaugeTrans
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*/
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template<typename GaugeField,typename GaugeMat>
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template<typename GaugeField,typename GaugeMat>
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static void GaugeTransform( GaugeField &Umu, GaugeMat &g){
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GridBase *grid = Umu._grid;
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conformable(grid,g._grid);
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@ -694,7 +693,7 @@ template<typename GaugeField,typename GaugeMat>
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}
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}
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template<typename GaugeMat>
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static void GaugeTransform( std::vector<GaugeMat> &U, GaugeMat &g){
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static void GaugeTransform( std::vector<GaugeMat> &U, GaugeMat &g){
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GridBase *grid = g._grid;
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GaugeMat ag(grid); ag = adj(g);
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for(int mu=0;mu<Nd;mu++){
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@ -793,6 +792,5 @@ typedef SU<5> SU5;
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typedef SU<Nc> FundamentalMatrices;
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}
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}
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NAMESPACE_END(Grid);
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#endif
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