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use DSQSS for generating reference data
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QMC result for TFI model on a square lattice (32x32) by using ALPS/looper (https://github.com/wistaria/alps-looper). | ||
QMC result for TFI model on a square lattice (32x32) by using DSQSS/dla (https://github.com/issp-center-dev/DSQSS). | ||
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||
``` bash | ||
alpspython init_params.py | ||
mpiexec -np 4 loop --mpi params.in.xml | ||
alpspython extract.py | ||
sh exec.sh | ||
``` |
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algfile = algorithm.xml | ||
cfoutfile = cf.dat | ||
ckoutfile = ck.dat | ||
dispfile = | ||
latfile = lattice.xml | ||
ndecor = 100 | ||
nmcs = 1000 | ||
npre = 100 | ||
nsegmax = 1000000 | ||
nset = 1 | ||
ntau = 10 | ||
ntherm = 1000 | ||
nvermax = 1000000 | ||
outfile = sample.log | ||
seed = 31415 | ||
sfoutfile = sf.dat | ||
simulationtime = 0.0 | ||
wvfile = |
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0.05 -4.99980181e-01 2.08808266e-05 | ||
0.1 -5.00003110e-01 2.96545797e-05 | ||
0.2 -4.99966568e-01 5.13604499e-05 | ||
0.3 -4.97107059e-01 8.39212834e-05 | ||
0.4 -4.82012323e-01 9.12329162e-05 | ||
0.5 -4.36350861e-01 8.83769241e-05 | ||
0.6 -3.03354382e-01 2.01619971e-04 | ||
0.7 -2.27019658e-01 1.24150843e-04 | ||
0.8 -1.86410413e-01 1.25981974e-04 | ||
0.9 -1.59029118e-01 1.16780148e-04 | ||
1.0 -1.39562195e-01 9.23542274e-05 | ||
1.25 -1.06985798e-01 8.50029530e-05 | ||
1.5 -8.72944107e-02 7.74591774e-05 | ||
1.75 -7.39227066e-02 7.53660220e-05 | ||
2.0 -6.42405701e-02 7.96274629e-05 | ||
5.0 -2.52030945e-02 6.24033826e-05 | ||
10.0 -1.25015259e-02 6.68657911e-05 |
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0.05 -5.31430835e-01 3.31061507e-05 | ||
0.1 -5.31394312e-01 3.63992937e-05 | ||
0.2 -5.31226657e-01 4.32862609e-05 | ||
0.3 -5.28012476e-01 5.25922840e-05 | ||
0.4 -5.10925217e-01 7.76729471e-05 | ||
0.5 -4.58354818e-01 1.54247706e-04 | ||
0.6 -3.36928873e-01 1.78395269e-04 | ||
0.7 -2.78432447e-01 1.61493743e-04 | ||
0.8 -2.39934241e-01 1.33767315e-04 | ||
0.9 -2.11651038e-01 1.38187205e-04 | ||
1.0 -1.89516632e-01 1.09982288e-04 | ||
1.25 -1.50984039e-01 1.24529590e-04 | ||
1.5 -1.25525562e-01 9.82966071e-05 | ||
1.75 -1.07453547e-01 9.00208045e-05 | ||
2.0 -9.39877153e-02 8.73243152e-05 | ||
5.0 -3.74733826e-02 7.36017406e-05 | ||
10.0 -1.87540266e-02 6.57126654e-05 |
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0.05 -5.81114926e-01 1.70643361e-05 | ||
0.1 -5.81145981e-01 2.68353352e-05 | ||
0.2 -5.80884629e-01 3.51128444e-05 | ||
0.3 -5.76567154e-01 5.08513351e-05 | ||
0.4 -5.55292787e-01 5.48940385e-05 | ||
0.5 -4.78773100e-01 1.04722910e-04 | ||
0.6 -4.04761223e-01 1.04822732e-04 | ||
0.7 -3.57959083e-01 9.57043577e-05 | ||
0.8 -3.21089846e-01 9.80739176e-05 | ||
0.9 -2.90714579e-01 8.20653260e-05 | ||
1.0 -2.65548583e-01 9.04088709e-05 | ||
1.25 -2.17393060e-01 9.01411865e-05 | ||
1.5 -1.83731674e-01 8.33648902e-05 | ||
1.75 -1.59042508e-01 7.59300549e-05 | ||
2.0 -1.39857034e-01 7.72090859e-05 | ||
5.0 -5.68680674e-02 7.56998423e-05 | ||
10.0 -2.84449526e-02 6.68387663e-05 |
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0.05 -1.03345703e+00 7.06985854e-06 | ||
0.1 -1.03346322e+00 9.72959368e-06 | ||
0.2 -1.03276249e+00 1.38597341e-05 | ||
0.3 -1.02804075e+00 1.99193726e-05 | ||
0.4 -1.01554407e+00 2.46899617e-05 | ||
0.5 -9.93844526e-01 3.43947472e-05 | ||
0.6 -9.64045760e-01 4.47763386e-05 | ||
0.7 -9.28539166e-01 5.06634628e-05 | ||
0.8 -8.89730230e-01 6.96461202e-05 | ||
0.9 -8.49493771e-01 7.10855210e-05 | ||
1.0 -8.09324722e-01 7.00970466e-05 | ||
1.25 -7.15135772e-01 9.92169286e-05 | ||
1.5 -6.33915674e-01 1.03120999e-04 | ||
1.75 -5.65613544e-01 1.05536566e-04 | ||
2.0 -5.08999047e-01 1.20128214e-04 | ||
5.0 -2.21063704e-01 1.01488077e-04 | ||
10.0 -1.12226557e-01 1.20685847e-04 |
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0.05 -5.00159253e-01 9.30672920e-05 | ||
0.1 -4.99919629e-01 1.73495916e-04 | ||
0.2 -4.99966699e-01 1.96262455e-04 | ||
0.3 -4.96953369e-01 3.38002593e-04 | ||
0.4 -4.82328223e-01 3.41277155e-04 | ||
0.5 -4.36665527e-01 4.10691909e-04 | ||
0.6 -3.34785498e-01 6.19470441e-04 | ||
0.7 -2.39341040e-01 5.96309340e-04 | ||
0.8 -1.89738672e-01 4.21457202e-04 | ||
0.9 -1.60398413e-01 4.28087066e-04 | ||
1.0 -1.39659912e-01 3.72183185e-04 | ||
1.25 -1.06958008e-01 3.12345271e-04 | ||
1.5 -8.73702393e-02 3.27105457e-04 | ||
1.75 -7.41276245e-02 3.25074663e-04 | ||
2.0 -6.43027344e-02 3.00347681e-04 | ||
5.0 -2.53234863e-02 2.77028972e-04 | ||
10.0 -1.22290039e-02 2.80044680e-04 |
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0.05 -5.31454499e-01 8.54281036e-05 | ||
0.1 -5.31432644e-01 1.18530337e-04 | ||
0.2 -5.31289349e-01 2.03173374e-04 | ||
0.3 -5.28549420e-01 2.41107650e-04 | ||
0.4 -5.11348491e-01 3.29083853e-04 | ||
0.5 -4.59798041e-01 5.16815474e-04 | ||
0.6 -3.62041218e-01 6.19593875e-04 | ||
0.7 -2.85767047e-01 5.62401068e-04 | ||
0.8 -2.42802905e-01 4.96706454e-04 | ||
0.9 -2.12378125e-01 4.09047256e-04 | ||
1.0 -1.90220035e-01 3.77373724e-04 | ||
1.25 -1.50983882e-01 3.44847039e-04 | ||
1.5 -1.26196373e-01 3.68494618e-04 | ||
1.75 -1.07819052e-01 2.81221951e-04 | ||
2.0 -9.39651352e-02 3.41568846e-04 | ||
5.0 -3.79325171e-02 3.03999914e-04 | ||
10.0 -1.88213041e-02 2.98387343e-04 |
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0.05 -5.81154196e-01 6.20772088e-05 | ||
0.1 -5.81106430e-01 8.83811857e-05 | ||
0.2 -5.80738170e-01 1.29976198e-04 | ||
0.3 -5.76663062e-01 1.76245272e-04 | ||
0.4 -5.54957442e-01 2.61751546e-04 | ||
0.5 -4.94761460e-01 3.93833044e-04 | ||
0.6 -4.16909973e-01 3.27461293e-04 | ||
0.7 -3.61932343e-01 3.48490145e-04 | ||
0.8 -3.21627307e-01 3.72442810e-04 | ||
0.9 -2.91476424e-01 3.23326577e-04 | ||
1.0 -2.66141560e-01 3.38671619e-04 | ||
1.25 -2.17215784e-01 3.10803706e-04 | ||
1.5 -1.83834704e-01 3.33848313e-04 | ||
1.75 -1.59337535e-01 3.33318666e-04 | ||
2.0 -1.39913539e-01 3.31162655e-04 | ||
5.0 -5.70513522e-02 3.02868720e-04 | ||
10.0 -2.81830162e-02 2.62714585e-04 |
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0.05 -1.03348751e+00 2.82680645e-05 | ||
0.1 -1.03349093e+00 3.78317265e-05 | ||
0.2 -1.03279105e+00 5.48501795e-05 | ||
0.3 -1.02791347e+00 7.23643031e-05 | ||
0.4 -1.01557787e+00 1.06438291e-04 | ||
0.5 -9.93989488e-01 1.39009610e-04 | ||
0.6 -9.64342065e-01 1.96901595e-04 | ||
0.7 -9.28454100e-01 2.26078050e-04 | ||
0.8 -8.89789497e-01 2.46143084e-04 | ||
0.9 -8.49259005e-01 3.00206531e-04 | ||
1.0 -8.09314753e-01 3.17427242e-04 | ||
1.25 -7.14924416e-01 2.99522282e-04 | ||
1.5 -6.33769324e-01 3.64199025e-04 | ||
1.75 -5.64987255e-01 4.83053399e-04 | ||
2.0 -5.08643406e-01 4.26461328e-04 | ||
5.0 -2.21293842e-01 4.69051261e-04 | ||
10.0 -1.11479559e-01 5.32677223e-04 |
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for L in 8 32; do | ||
for G in 0.0 0.5 0.8 2.0; do | ||
file_ene=ene-L${L}-G${G}.dat | ||
file_magx=magx-L${L}-G${G}.dat | ||
file_spec=spec-L${L}-G${G}.dat | ||
rm -f $file_ene | ||
rm -f $file_magx | ||
rm -f $file_spec | ||
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dla_alg -l lattice_L${L}.toml -h hamiltonian_G${G}.toml | ||
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for T in 0.05 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0 1.25 1.5 1.75 2.0 5.0 10.0; do | ||
cp common_param.in param.in | ||
beta=`echo "1.0/$T" | bc -l` | ||
echo "beta = $beta" >> param.in | ||
srun dla param.in | ||
output=sample-L${L}-G${G}-T${T}.log | ||
mv sample.log $output | ||
grep "ene" $output | awk --assign="T=$T" '{print T,$4,$5}' >> $file_ene | ||
grep "bmzu" $output | awk --assign="T=$T" '{print T,$4,$5}' >> $file_magx | ||
grep "spe" $output | awk --assign="T=$T" '{print T,$4,$5}' >> $file_spec | ||
done | ||
done | ||
done |
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