def PlotEpsilon( h = [ 0.5 , 1.0 , 1.5 ] ):
j = 1.0
L = 100
k = system.kpoints(L,0,"all")
lines = []
ll = []
# pp.title(r"$$")
for i in range(len(h)):
ek = system.epsilon(k, h[i] ,j )
lines.append( pp.plot(k,ek) )
ll.append( "".join( ['$ h =',`h[i]`,'$' ] ) )
pp.xlabel('$k$', fontsize=16)
pp.ylabel(r'$\epsilon_k/J$',fontsize=16)
pp.legend( lines, ll, loc=0)
pp.xlim( -numpy.pi,numpy.pi )
pp.show()
return
def PlotMaxMag( ):
import ising1D
h = 0.5
L = 500
k = system.kpoints(L,0,">")
ising1D.system.L = L
ising1D.system.h = h
egs_p = ising1D.system.egs()
egs_m = egs_p
mgs_p = ising1D.system.mgs()
mgs_m = mgs_p
edata_p = [ egs_p ]
edata_m = [ egs_m ]
mdata_p = [ mgs_p ]
mdata_m = [ mgs_m ]
for i in range(len(k)):
egs_p += 2.0*ising1D.system.energy( k[i], h, 1.0 )/numpy.float(L)
mgs_p += 2.0*ising1D.system.sigmaz( k[i] )/numpy.float(L)
egs_m += 2.0*ising1D.system.energy( k[len(k)-1-i], h, 1.0 )/numpy.float(L)
mgs_m += 2.0*ising1D.system.sigmaz( k[len(k)-1-i] )/numpy.float(L)
edata_p.append( egs_p )
edata_m.append( egs_m )
mdata_p.append( mgs_p )
mdata_m.append( mgs_m )
pp.plot(edata_p,mdata_p)
pp.plot(edata_m,mdata_m)
pp.show()
return
def PlotCoef():
h0 = [0.5 , 1.0 , 1.5]
#attenzione che hai copiato solo il link
h = h0
L = 100
lines = []
ll = []
k = system.kpoints(L,0,">")
for i in range(len(h0)):
for j in range(len(h)):
if (h0[i] < h[j]):
c = system.Coef( h0[i] , h[j] , L )
lines.append( pp.plot( k,c ) )
ll.append( "".join(["$h^0 =",`h0[i]`,"$, $h =",`h[j]`,"$" ]) )
pp.title(''.join(["$L = ",`L`,"$"]))
pp.xlabel("$k$",fontsize=16)
pp.ylabel("$z_k$",fontsize=16)
pp.legend( lines, ll, loc=0 )
pp.yscale('log')
pp.xlim(0,numpy.pi)
pp.show()
return
def PlotSigmaz( h = [ 0.5 , 1.0 ,1.5 ] ):
import ising1D
L = 100
k = system.kpoints(L,0,"all")
lines = []
ll = []
ising1D.system.l = L
for i in range(len(h)):
ising1D.system.h = h[i]
ek = []
for j in range( len(k) ):
ek.append( ising1D.system.sigmaz( k[j] ) )
lines.append( pp.plot(k,ek) )
ll.append( "".join( ['$ h =',`h[i]`,'$' ] ) )
pp.xlabel('$k$', fontsize=16)
pp.ylabel(r'$m_k$',fontsize=16)
pp.legend( lines, ll, loc=0)
pp.xlim( -numpy.pi,numpy.pi )
pp.show()
return
def PlotMagArrayAllSpace(h, l, ebin, mbin ):
import matplotlib.cm as cm
ising1D.system.h = h
ising1D.system.l = l
ising1D.exact.mag_array_calc_allspace( ebin, mbin)
# ising1D.exact.mag_array_calc( ebin, mbin)
data = ising1D.exact.real_array
data2 = ising1D.exact.array
emax = ising1D.exact.emax_plot
mmax = ising1D.exact.obsmax_plot
# tmp = data.min()
# for i in range(ebin):
# for j in range(mbin):
# if ( data2[i,j] == 0 ):
# data[i,j] = tmp
data = numpy.log(data)
fig = pp.figure()
ax = fig.add_subplot(111)
cax = ax.imshow( numpy.transpose(data), origin="lower", interpolation="nearest", extent=(-emax,emax,-mmax,mmax),aspect='auto',cmap=cm.gray_r )
# cbar = fig.colorbar( cax )
# cbar.set_label(r"$\log ( \rho(E,M) ) $")
ax.set_ylabel(r"${M_z{}}_{\alpha \alpha}$",fontsize=20)
ax.set_xlabel(r"$E_\alpha/(L J)$",fontsize=20)
[i.set_fontsize(15) for i in ax.get_xticklabels() + ax.get_yticklabels()]
# ax.set_title( r"".join( ["$L = ",`l`,"$, $h = ",`h`,"$"] ) )
k = system.kpoints(l,0,">")
egs_p = ising1D.system.egs()
egs_m = egs_p
mgs_p = ising1D.system.mgs()
mgs_m = mgs_p
edata_p = [ egs_p ]
edata_m = [ egs_m ]
mdata_p = [ mgs_p ]
mdata_m = [ mgs_m ]
for i in range(len(k)):
egs_p += 2.0*ising1D.system.energy( k[i], h, 1.0 )/numpy.float(l)
mgs_p += 2.0*ising1D.system.sigmaz( k[i] )/numpy.float(l)
egs_m += 2.0*ising1D.system.energy( k[len(k)-1-i], h, 1.0 )/numpy.float(l)
mgs_m += 2.0*ising1D.system.sigmaz( k[len(k)-1-i] )/numpy.float(l)
edata_p.append( egs_p )
edata_m.append( egs_m )
mdata_p.append( mgs_p )
mdata_m.append( mgs_m )
ax.plot(edata_p,mdata_p,'g--')
ax.plot(edata_m,mdata_m,'g--')
ax.set_xlim(-emax,emax)
ax.set_ylim(-mmax,mmax)
return