def test_single_slice_move():
from path import Path
from action import HarmonicOscillator
omega = 25.
test_pot = lambda x:0.0#lambda x:HarmonicOscillator(x,omega=omega)
tau = 0.1
lam = 0.5
nslice = 5
nptcl = 2
ndim = 3
path = Path(np.zeros([nslice,nptcl,ndim]),tau,lam)
path.SetPotential(test_pot)
path.SetPotential(lambda x:0.0)
path.SetCouplingConstant(0.0)
nstep = 4000
sig = 0.2
move_list = [lambda x:SingleSliceMove(x,sig)]
naccept,etrace,path_trace = pimc(nstep,path,move_list)
nmove = len(move_list)*nstep
acceptance_rate = float(naccept.sum())/nmove
print('acceptance rate: {acc:4.2f}%'.format(acc=acceptance_rate*100.) )
np.savetxt('energy.dat',etrace)
x2 = (path_trace**2.).sum(axis=3).mean(axis=1).mean(axis=1) # averge over particles and slices
np.savetxt('x2.dat',x2)
print path.beta, omega, x2.mean()
nequil = 500 # in blocks
from CalcStatistics import Stats
energy_mean,energy_error,energy_correlation = Stats(etrace[nequil:])
# use 3 sigma tolerance
energy_expect = 1.5*path.beta*path.nptcl
print(energy_mean,energy_error)
print(energy_expect)
assert abs(energy_mean-energy_expect) < 3*energy_error
def test_single_slice_move():
from path import Path
#from action import HarmonicOscillator
#test_pot = lambda x:HarmonicOscillator(x,omega=10.)
tau = 0.1
lam = 0.5
nslice = 5
nptcl = 2
ndim = 3
path = Path(np.zeros([nslice, nptcl, ndim]), tau, lam)
#path.SetPotential(test_pot)
path.SetPotential(lambda x: 0.0)
path.SetCouplingConstant(0.0)
nstep = 4000
move_list = [SingleSliceMove]
naccept, etrace, path_trace = pimc(nstep, path, move_list)
nmove = len(move_list) * nstep
acceptance_rate = float(naccept.sum()) / nmove
print('acceptance rate: {acc:4.2f}%'.format(acc=acceptance_rate * 100.))
#np.savetxt('energy.dat',etrace)
#np.savetxt('beads_trace.dat',path_trace.flatten())
nequil = 50 # in blocks
from CalcStatistics import Stats
energy_mean, energy_error, energy_correlation = Stats(etrace[nequil:])
beta = tau * nslice
energy_expect = 1.5 * beta
print(energy_mean, energy_error)
print(energy_expect)
# use 3 sigma tolerance
assert abs(energy_mean - energy_expect) < 3 * energy_error
