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#from __future__ import division
%pylab inline
import string
%matplotlib qt
#%matplotlib notebook
#%matplotlib nbagg
import matplotlib.ticker as ticker
import os
txt = 'run'
#txt = 'OldData/run'
txt2 = '/rho_'
inp ='/input_nrg.dat'
densPath = '/home/cifucito/nrgcode/TwoChNRG/Images/Density/run'
rcParams.update({'font.size': 23})
rc("text", usetex = True)
rc("font", family = "serif")
#rcParams['figure.subplot.hspace'] = 0.3
rcParams['figure.subplot.wspace'] = 0.1
from scipy.interpolate import griddata
from scipy.optimize import curve_fit
from scipy import interpolate
Gamma = 2.8269*0.02
pi*Gamma
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In [34]:
def readfile(ini, dot):
#output = txt+repr(ini)+txt2 +repr(dot)+'_'+repr(dot)+'_OmegaRhow_zEQAVG.00.dat'
output = txt+repr(ini)+txt2 +repr(dot)+'_'+repr(dot)+'_OmegaRhow.dat'
#output = 'NotSoOld_Data/'+txt+repr(ini)+txt2 +repr(dot)+'_'+repr(dot)+'_OmegaRhow.dat'
#output = 'OldData/'+txt+repr(ini)+txt2 +repr(dot)+'_'+repr(dot)+'_OmegaRhow.dat'
infile = open(os.path.abspath(output), 'r')
text = infile.readlines()
#Data managemente
vec = []; vec2 = []
for x in text:
#print(list(x))
a =x.split(' ') ; vec.append(float(a[-3]))
vec2.append(float(a[0]))
#if j%20 == 1 : vec = vec[::-1];
DOS= array(vec) ; w = array(vec2)
return DOS , w
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dot = 1
init = 10
rho , w = readfile(init,dot-1)
plot(w,rho , label = 'NupPdn $\uparrow$')
rho1 , w1 = readfile(init,dot)
plot(w1,rho1, label = 'NupPdn $\downarrow$')
title('DOS Dot ' + str(dot))
init = 12
rho , w = readfile(init,dot-1)
plot(w,rho , label = 'QSz $\uparrow$')
rho1 , w1 = readfile(init,dot)
plot(w1,rho1, label = 'QSz $\downarrow$')
title('DOS Dot ' + str(dot))
legend()
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dot = 4
init = 10
rho , w = readfile(init,dot)
plot(w,rho , label = 'NupPdn $\uparrow$')
rho1 , w1 = readfile(init,dot)
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#read files for folder ini and dot
#returns DOS and w
zvec = ['0.60','0.80','1.00','1.20','1.40']
def readfileZ(ini, dot, Ztrick):
output = txt+repr(ini)+txt2 +repr(dot)+'_'+repr(dot)+'_OmegaRhow_zEQ'+zvec[Ztrick]+'.dat'
#output = txt+repr(ini)+txt2 +repr(dot)+'_'+repr(dot)+'_OmegaRhow.dat'
infile = open(os.path.abspath(output), 'r')
text = infile.readlines()
#Data managemente
vec = []; vec2 = []
for x in text:
#print(list(x))
a =x.split(' ') ; vec.append(float(a[-3]))
vec2.append(float(a[0]))
#if j%20 == 1 : vec = vec[::-1];
DOS= array(vec) ; w = array(vec2)
return DOS , w
def readfile_Param(ini, line):
#output = txt+repr(ini)+txt2 +repr(dot)+'_'+repr(dot)+'_OmegaRhow_zEQAVG.00.dat'
output = txt+repr(ini)+ inp
#output = '/home/cifucito/nrgcode/TwoChNRG/src/Main/Run/Run2DOtM/rho_2_2_OmegaRhow.dat'
infile = open(os.path.abspath(output), 'r')
text = infile.readlines()
return float(text[line])
def plotPH_Sym(initials ):
f2, ax = subplots(size(initials), 1, sharex='col', sharey='row', figsize=(10, 4*(size(initials))))
#suptitle('Majorana Connected to the First QD')
#suptitle('Majorana Connected to Both QDs')
for i in initials:
num = where(initials == i)[0] ; num = num[0]
for j in array([0,2]):
dosUp , wUp = readfile(i, j)
dosDown , wDown = readfile(i, j+1)
#plot(wUp , dosUp, wUp , dosDown)
vec1 = dosUp[ wUp > 0] + dosDown[ wDown > 0]
vec2 = dosUp[ wUp < 0] + dosDown[ wDown < 0]
#vec1 = dosUp[ wUp > 0] - dosUp[ wUp < 0][::-1]
#vec2 = dosDown[ wDown > 0][::-1] - dosDown[ wDown < 0]
#print vec1 - vec2[::-1]
#plot(wUp[ wUp > 0],vec1, wUp[ wUp < 0],vec2 )
#ax.semilogx( wUp[ wUp > 0] , vec1/vec2[::-1] , 'o',label = 'D '+ str(j/2+1)+', i '+str(i))
#if num%3 == 0 :
#ax[num].semilogx( wUp[ wUp > 0] , vec2[::-1]/vec1, 'o',label = 'Dot '+str(j/2+1))
#else :
ax[num].semilogx( wUp[ wUp > 0] , vec1/vec2[::-1], 'o',label = 'Dot '+str(j/2+1))
#plot( range(size(vec1))[::-1] , vec1/vec2[::-1] , 'o',label = 'Dot '+ str(j/2 +1))
#print vec1[-1], vec2[0], vec1[-1]/vec2[0]
#plot( log(wUp[ wUp > 0]), vec1 , 'o',label = ''+ str(j/2))
#plot( (-1)*log(wUp[ wUp > 0]) , vec2[::-1] , 'o',label = ''+ str(j/2))
#xlim([-10,10])
#ylim([1.0-0.00002,1.0+0.00002])
#ax[num].set_title('$\Gamma =' + str(readfile_Param(i, 3))+', N_s = ' +repr(readfile_Param(i, 1))+', \epsilon_{d2} = ' +repr(readfile_Param(i, 16))+'$' , fontsize=22)
#ax[num].set_title('$\Gamma =' + str(readfile_Param(i, 3))+', t_1 = t_2 = ' +repr(readfile_Param(i, param))+'$' , fontsize=22)
#ax[num].text(1, 1, r'$E=mc^2$', fontsize=15)
ax[num].set_ylim(0.5,1.5)
ax[num].set_ylabel('$\\frac{\\rho_\uparrow(\omega^+)+ \\rho_\downarrow(\omega^+)}{\\rho_\uparrow(\omega^-) +\\rho_\downarrow(\omega^-)}$')
#print vec1 - vec2[::-1]
ax[num].legend(fontsize=20 , loc='upper left' )
ax[num].set_xlabel( '$\omega$' )
def plotDOS(initials,line,limsx, limsy):
Param_name = 't_1 = t_2'
Param_name = '\epsilon_2'
#Param_name = '\epsilon_2 = \\frac{-U_2}{2}'
#Param_name = 't_2'
f, axarr = subplots(2, 2, sharex='col', sharey='row', figsize=(15, 10))
#plot the DOS at the FE
f2, axarr2 = subplots(1, 1, sharex='col', sharey='row', figsize=(8, 5))
#plot the relation between both DOS (up/Down)
f3, axarr3 = subplots(1, 1, sharex='col', sharey='row', figsize=(8, 5))
t2 = []
for ini in initials:
t2.append(readfile_Param(ini, line))
t2 = array(t2)
#suptitle('Majorana Connected to the First QD')
#print initials
for i in range(4):
vec0 = []
maxi = []
#for j in range(40,46):
for j in initials:
param = t2[where(initials == j)] ; param = param[0]
#Read file
vec , vec2 = readfile(j, i)
#get 0 value of the DOS
#if j%10 ==0 : vec = vec[::-1];
vec0mas = vec[ vec2 > 0] ; vec0mas = vec0mas[0]
vec0menos = vec[ vec2 < 0] ; vec0menos = vec0menos[-1]
vec0.append(0.5*(vec0mas + vec0menos)) ; maxi.append(max(vec))
#plot DOS
axarr[i/2 , i%2 ].plot(vec2,vec, '-',label= '$' + Param_name + '= '+str(param) + '$')
#Set graphic font
if i%2 == 1: axarr[i/2 , i%2 ].legend(fontsize=16)
#axarr[i/2 , i%2 ].set_ylim([0,max(maxi)])
#axarr[i/2 , i%2 ].set_xlim([-0.5,0.5])
spin = '\uparrow'
if i%2 == 1 : spin = '\downarrow';
title = '$\\rho_{'+str(i/2 +1 )+ spin +'}$'
axarr[i/2 , i%2 ].set_title(title)
axarr[i/2 , i%2 ].set_xlim([-limsx,limsx])
axarr[i/2 , i%2 ].set_ylim([0,limsy])
if i>1 : axarr[i/2 , i%2 ].set_xlabel('$\epsilon $',fontsize=25)
if i%2 == 0 : axarr[i/2 , i%2 ].set_ylabel('$\\rho_{'+str(i/2 +1 )+ '}$',fontsize=25)
#t2 = -0.25 + double(initials-initials[0]) * 0.05
#t2[-1] = -0.06 ; t2[-2] = -0.08
axarr2.plot(t2,vec0 ,'o', label= title + '$(0)$')
if i%2 == 0 :
new0 = vec0
else:
ydata = array(new0)/array(vec0)
#popt, pcov = curve_fit(func, t2, ydata)
#z = polyfit(t2, ydata, 3) ; f = poly1d(z)
#f = interpolate.interp1d(t2, ydata, kind='cubic')
tnew = np.linspace(t2[0], t2[-1], 50)
axarr3.plot(t2,ydata,'o', label= 'Dot' + str(i/2 + 1) )
#axarr3.plot(tnew,f(tnew),'-' )
#axarr3.semilogy(t2,array(new0)/array(vec0) , basey=2)
#axarr3.semilogy(t2,array(new0)/array(vec0) ,'o', label= 'Dot' + str(i/2 + 1),basey=2)
#axarr3.semilogy(t2,log2(array(new0)/array(vec0)) ,'-', basey=2)
axarr2.set_xlabel('$'+Param_name+'$',fontsize=25)
axarr2.set_ylabel('$\\rho(0)$',fontsize=25)
axarr2.legend(fontsize=20 , loc='upper right' )
#axarr2.set_xlim([-0.25,-0.05])
#axarr2.set_ylim([0.0,4.5])
#axarr3.set_xlabel('$\epsilon_{d2}$',fontsize=25)
axarr3.set_xlabel('$'+Param_name+'$',fontsize=25)
axarr3.set_ylabel('$\\rho_\uparrow(0)/\\rho_\downarrow(0)$',fontsize=25)
axarr3.legend(fontsize=20, loc='upper right')
#axarr3.set_ylim([0,3])
axarr3.set_xlim([t2[0],t2[-1]])
#save = directory +'/'+txt2 +repr(i)+'_'+repr(i)+'_OmegaRhow.png'
#savefig(save)
def logplotDOS(initials , line):
#plot the 4 DOS
f, axarr = subplots(2, 2, sharex='col', sharey='row', figsize=(15, 10))
#plot the DOS at the FE
f2, axarr2 = subplots(1, 1, sharex='col', sharey='row', figsize=(8, 5))
#plot the relation between both DOS (up/Down)
f3, axarr3 = subplots(1, 1, sharex='col', sharey='row', figsize=(8, 5))
t2 = []
for j in initials:
t2.append(readfile_Param(j, line))
t2 = array(t2)
for i in range(4):
vec0 = []
#for j in range(40,46):
for j in initials:
param = t2[where(initials == j)] ; param = param[0]
#Read file
vec , vec2 = readfile(j, i)
#get 0 value of the DOS
if j%10 ==0 : vec = vec[::-1];
vec0mas = vec[ vec2 > 0] ; vec0mas = vec0mas[0]
vec0menos = vec[ vec2 < 0] ; vec0menos = vec0menos[-1]
vec0.append(0.5*(vec0mas + vec0menos))
#plot DOS
#axarr[i/2 , i%2 ].plot(vec2,vec, label= '$\epsilon_{d2} ='+str(-0.25+(j-initials[0])*0.05 )+'$')
axarr[i/2 , i%2 ].semilogx(vec2[ vec2 > 0],vec[ vec2 > 0],'o', label= '$'+ str()+'+$')
axarr[i/2 , i%2 ].semilogx(-vec2[ vec2 < 0],vec[ vec2 < 0],'o' ,label= '$'+ str(param)+',-$')
#Set graphic font
if i%2 == 1: axarr[i/2 , i%2 ].legend(fontsize=12)
#axarr[i/2 , i%2 ].set_xlim([-0.5,0.5])
spin = '\uparrow'
if i%2 == 1 : spin = '\downarrow';
title = '$\\rho_{'+str(i/2 +1 )+ spin +'}$'
print title
axarr[i/2 , i%2 ].set_title(title)
#axarr[i/2 , i%2 ].set_ylim([-0.0,9.0])
if i>1 : axarr[i/2 , i%2 ].set_xlabel('$\epsilon $',fontsize=25)
if i%2 == 0 : axarr[i/2 , i%2 ].set_ylabel('$\\rho_{'+str(i/2 +1 )+ '}$',fontsize=25)
#t2 = -0.25 + double(initials-initials[0]) * 0.05
#t2[-1] = -0.06 ; t2[-2] = -0.08
axarr2.plot(t2,vec0 ,'o', label= title + '$(0)$')
if i%2 == 0 :
new0 = vec0
else:
print array(vec0)/array(new0)
axarr3.plot(t2,array(new0)/array(vec0) ,'o', label= 'Dot' + str(i/2 + 1))
axarr2.set_xlabel('$\epsilon_{d2}$',fontsize=25)
axarr2.set_ylabel('$\\rho(0)$',fontsize=25)
axarr2.legend(fontsize=24 , loc='upper right' )
#axarr2.set_xlim([-0.25,-0.05])
#axarr2.set_ylim([0.0,4.5])
axarr3.set_xlabel('$\epsilon_{d2}$',fontsize=25)
axarr3.set_ylabel('$\log_2(\\rho_\uparrow(0)/\\rho_\downarrow(0))$',fontsize=25)
axarr3.legend(fontsize=20, loc='upper right')
#axarr3.set_xlim([-0.25,-0.05])
#axarr3.set_ylim([0.0,1.8])
#save = directory +'/'+txt2 +repr(i)+'_'+repr(i)+'_OmegaRhow.png'
#savefig(save)
zvec2 = ['0.6','0.8','1','1.2','1.4']
def readCost(ini, Ztrick):
output = txt+repr(ini)+'/output_DMNRG_zEQ'+zvec2[Ztrick]+'_Dir'+repr(ini)+'.txt'
#output = txt+repr(ini)+'/output_NRG_Code_DM_NRG_Dir'+repr(ini)+'.txt'
infile = open(os.path.abspath(output), 'r')
text = infile.readlines()
w= []
costi = []
for x in text:
#print(list(x))
a=x.split('(')
if a[0]=='RhoCosti0_0':
omega = a[1].split('=')[1] ; omega = omega.split(' ')[1]
cost = a[1].split('=')[2]
w.append(float(omega)) ; costi.append(float(cost))
#print float(omega) ,cost
#Data managemente
w = array(w) ; costi = array(costi)
costi = costi[argsort(w)] ; w = w[argsort(w)]
return w , costi
In [31]:
rcParams['figure.subplot.hspace'] = 0.15
rcParams['figure.subplot.wspace'] = 0.0
plotDOS(initials,13,0.1,4)
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initials = array([70,71,72,73,74])
#initials = array([70])
#initials = array([6])
initials = array([2002])
#print readfile_Param(1001, 1)
#print readfile_Param(1001, 3)
#initials = array([2011,2012,2013])
initials = array([2012,2013,2014])
initials = array([2020 , 2021, 20])
#initials = array([70,71,72,73,74])
initials = array([56,57,58,59,60])
#initials = array([35,36,37,38,39])
#initials = array([160,161,162,163,164])
#initials = array([161,162,163,164])
#initials = array([56,58,60])
#initials = array([85, 2002 , 2011])
#initials = array([126,127])
#initials = array([61,62,65])
initials = array([35,36,37,38,39])
initials = array([75,76,77,78,79])
initials = array([80,81,82,83,84])
initials = array([85,86])
#initials = array([90,91,92,93,94])
#initials = array([70,71,72,73,74])
plotPH_Sym(initials,16)
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readfile_Param(2013, 3)
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initials = array([85,86])
#initials = initials[::2]
logplotDOS(initials,17)
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#param = t2[where(initials == j)] ; param = param[0]
ini =256
dot = 1
rcParams['figure.subplot.wspace'] = 0.2
f, axarr = subplots(1, 2, figsize=(14, 6))
params = [21,23,25,27,29,31]
#for ini in range(size(initials)):
for z in range(size(zvec)):
vec , vec2 = readfileZ(ini, dot,z)
#vec , vec2 = readfile(initials[ini], dot)
axarr[0].semilogx(vec2[vec2>0],vec[vec2>0]/vec[vec2<0][::-1])
axarr[1].plot(vec2,vec,'o',label= '$Z ='+ zvec[z] + '$')
#axarr[1].plot(vec2,vec, label= '$N ='+ repr(params[ini]) + '$')
axarr[0].set_xlabel('$\omega$',fontsize=25)
axarr[1].set_xlabel('$\omega$',fontsize=25)
axarr[0].set_ylabel('$\\rho(\omega +)/\\rho(\omega -)$',fontsize=25)
axarr[1].set_ylabel('$\\rho(\omega)$',fontsize=25)
axarr[1].legend(fontsize=18 , loc='upper right' )
#axarr[0].set_ylim(0,2)
axarr[1].set_xlim(-1 , 1)
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rcParams['figure.subplot.wspace'] = 0.2
f, axarr = subplots(1, 2, figsize=(14, 6))
#params = [0.001 , 0.01,3]
params = zvec2
print params
#print readCost(ini, 0)
#for ini in range(size(initials)):
ini =260
for z in range(size(zvec2)):
w , costi = readCost(ini, z)
#w , costi = readCost(initials[ini], z)
axarr[0].semilogx(w[w>0],costi[w>0]/costi[w<0][::-1])
axarr[1].plot(w,costi,label= 'Z =' + zvec2[z])
#axarr[1].plot(w,costi,'o',label= '$N ='+ repr(params[ini]) + '$')
axarr[1].plot(w,costi,'-')
axarr[0].set_xlabel('$\omega$',fontsize=25)
axarr[1].set_xlabel('$\omega$',fontsize=25)
axarr[0].set_ylabel('$cost(\omega +)/cost(\omega -)$',fontsize=25)
axarr[1].set_ylabel('$cost(\omega)$',fontsize=25)
axarr[1].legend(fontsize=18 , loc='upper right' )
#axarr[0].set_ylim(0.95,1.05)
axarr[1].set_xlim(-1 , 1)
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fig, axMaj = subplots(1, 1, sharex='col', sharey='row', figsize=(8, 5))
fig2, axMaj2 = subplots(1, 1, sharex='col', sharey='row', figsize=(8, 5))
vec0 = []
initials = array([70,71,72,73,74,75,76,77])
initials = array([57,58,59,60])
#initials = array([30,31,32,33,34])
#initials = array([35,36,37,38,39])
#initials = initials[::2]
for j in initials:
#Read file
vec , vec2 = readfile(j, 4)
#axMaj.plot(vec2,vec, label= '$\epsilon_{d2} ='+str(-0.25+(j-initials[0])*0.05 )+'$')
axMaj.plot(vec2,vec, label= '$\epsilon_{d2} ='+str(0.005+(j-initials[0])*0.005 )+'$')
vec0mas = vec[ vec2 > 0] ; vec0mas = vec0mas[0]
vec0menos = vec[ vec2 < 0] ; vec0menos = vec0menos[-1]
vec0.append(0.5*(vec0mas + vec0menos))
t2 = -0.25 + double(initials-initials[0]) * 0.05
t2 = 0.005+ double(initials-initials[0]) * 0.005
#t2[-1] = -0.06 ; t2[-2] = -0.08
axMaj2.plot(t2,vec0, 'o' , label= title + '$(0)$')
axMaj.legend(fontsize=20 )
axMaj.set_xlim([-0.1,0.1])
axMaj.set_xlabel('$\omega$',fontsize=25)
axMaj.set_ylabel('$\\rho_M$',fontsize=25)
axMaj2.set_xlabel('$\epsilon_{d2}$',fontsize=25)
axMaj2.set_ylabel('$\\rho_M(0)$',fontsize=25)
#axMaj2.legend(fontsize=20 , loc='upper left' )
axMaj2.set_xlim([0.005,0.02])
#axMaj2.set_ylim([0.0,4.5])
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3/2
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L = array([5 , 2 , 4 ,10])
L[L >3]
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double(range(0,6)) * 0.05
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f, axarr = subplots(2, 2, sharex='col', sharey='row', figsize=(15, 10))
f2, axarr2 = subplots(1, 1, sharex='col', sharey='row', figsize=(8, 5))
f3, axarr3 = subplots(1, 1, sharex='col', sharey='row', figsize=(8, 5))
initials = array([40,42,43,44])
#initials = array([40,41,42,43 ,44,45])
initials = array([61,62,63,64,65])
#initials = initials[::2]
initials = array([56,57,58,59,60])
initials = array([139])
print initials
for i in range(4):
vec0 = []
#for j in range(40,46):
for j in initials:
#Read file
vec , vec2 = readfile(j, i)
#get 0 value of the DOS
if j%5 == 1 : vec = vec[::-1];
vec = array(vec) ; vec2 = array(vec2)
vec0mas = vec[ vec2 > 0] ; vec0mas = vec0mas[0]
vec0menos = vec[ vec2 < 0] ; vec0menos = vec0menos[-1]
vec0.append(0.5*(vec0mas + vec0menos))
axarr[i/2 , i%2 ].plot(vec2,vec, label= '$t_{2} ='+str(0.00+(j-initials[0])*0.005 )+'$')
axarr[i/2 , i%2 ].legend(fontsize=20)
axarr[i/2 , i%2 ].set_xlim([-0.5,0.5])
spin = '\uparrow'
if i%2 == 1 : spin = '\downarrow';
title = 'Dot $'+str(i/2 +1 )+'$ , Spin $'+ spin +'$'
axarr[i/2 , i%2 ].set_title(title)
#axarr[i/2 , i%2 ].set_ylim([-0.0,9.0])
if i>1 : axarr[i/2 , i%2 ].set_xlabel('$\omega$',fontsize=25)
if i%2 == 0 : axarr[i/2 , i%2 ].set_ylabel('Spectral Density',fontsize=25)
t2 = -0.0 + double(initials-initials[0]) * 0.005
axarr2.plot(t2,vec0 ,'o', label= title)
if i%2 == 0 :
new0 = vec0
else:
print array(vec0)/array(new0)
axarr3.plot(t2,array(vec0)/array(new0) ,'o', label= title)
axarr2.set_xlabel('$t_1=t_{2}$',fontsize=25)
axarr2.set_ylabel('$\pi \Gamma \\rho(0)$',fontsize=25)
axarr2.legend(fontsize=20)
axarr2.set_xlim([-0.0,0.02])
axarr2.set_ylim([0.0,4.5])
axarr3.set_xlabel('$t_1=t_{2}$',fontsize=25)
axarr3.set_ylabel('$\\rho_\uparrow(0)/\\rho_\downarrow(0)$',fontsize=25)
axarr3.legend(fontsize=20)
axarr3.set_xlim([-0.0,0.02])
axarr3.set_ylim([0.0,1.8])
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f, axarr = subplots(2, 2, sharex='col', sharey='row', figsize=(15, 10))
f2, axarr2 = subplots(1, 1, sharex='col', sharey='row', figsize=(8, 5))
f3, axarr3 = subplots(1, 1, sharex='col', sharey='row', figsize=(8, 5))
initials = array([40,42,43,44])
#initials = array([40,41,42,43 ,44,45])
initials = array([61,62,63,64,65])
#initials = initials[::2]
initials = array([35,36,37,38,39])
initials = initials[::2]
print initials
for i in range(4):
vec0 = []
#for j in range(40,46):
for j in initials:
#Read file
vec , vec2 = readfile(j, i)
#get 0 value of the DOS
if j%20 == 1 : vec = vec[::-1];
vec = array(vec) ; vec2 = array(vec2)
vec0mas = vec[ vec2 > 0] ; vec0mas = vec0mas[0]
vec0menos = vec[ vec2 < 0] ; vec0menos = vec0menos[-1]
vec0.append(0.5*(vec0mas + vec0menos))
axarr[i/2 , i%2 ].plot(vec2,vec, label= '$t_{2} ='+str(0.00+(j-initials[0])*0.005 )+'$')
axarr[i/2 , i%2 ].legend(fontsize=20)
axarr[i/2 , i%2 ].set_xlim([-0.5,0.5])
spin = '\uparrow'
if i%2 == 1 : spin = '\downarrow';
title = 'Dot $'+str(i/2 +1 )+'$ , Spin $'+ spin +'$'
print title
axarr[i/2 , i%2 ].set_title(title)
#axarr[i/2 , i%2 ].set_ylim([-0.0,9.0])
if i>1 : axarr[i/2 , i%2 ].set_xlabel('$\omega$',fontsize=25)
if i%2 == 0 : axarr[i/2 , i%2 ].set_ylabel('Spectral Density',fontsize=25)
t2 = -0.0 + double(initials-initials[0]) * 0.005
axarr2.plot(t2,vec0 , label= title)
if i%2 == 0 :
new0 = vec0
else:
print array(vec0)/array(new0)
axarr3.plot(t2,array(vec0)/array(new0) , label= title)
axarr2.set_xlabel('$t_1=t_{2}$',fontsize=25)
axarr2.set_ylabel('$\pi \Gamma \\rho(0)$',fontsize=25)
axarr2.legend(fontsize=20)
axarr2.set_xlim([-0.0,0.02])
axarr2.set_ylim([0.0,4.5])
axarr3.set_xlabel('$t_1=t_{2}$',fontsize=25)
axarr3.set_ylabel('$\\rho_\uparrow(0)/\\rho_\downarrow(0)$',fontsize=25)
axarr3.legend(fontsize=20)
axarr3.set_xlim([-0.0,0.02])
axarr3.set_ylim([0.0,1.8])
Out[10]:
In [8]:
In [8]:
In [199]:
f, axarr = subplots(2, 2, sharex='col', sharey='row', figsize=(15, 10))
f2, axarr2 = subplots(1, 1, sharex='col', sharey='row', figsize=(15, 10))
f3, axarr3 = subplots(1, 1, sharex='col', sharey='row', figsize=(15, 10))
initials = array([30,31,32,33,34])
#initials = array([80,81,82,83,84])
initials = array([160,56])
#initials = initials[::2]
#initials = initials[4:5]
print initials
for i in range(4):
vec0 = []
#for j in range(40,46):
for j in initials:
#Read file
vec , vec2 = readfile(j, i)
#get 0 value of the DOS
if j%20 == 2 : vec = vec[::-1];
vec = array(vec) ; vec2 = array(vec2)
vec0mas = vec[ vec2 > 0] ; vec0mas = vec0mas[0]
vec0menos = vec[ vec2 < 0] ; vec0menos = vec0menos[-1]
vec0.append(0.5*(vec0mas + vec0menos))
#print vec0mas , vec0menos , 0.5*(vec0mas + vec0menos)
#maxima = vec[r_[True, vec[1:] > vec[:-1]] & r_[vec[:-1] > vec[1:], True]]
#maxima = sort(maxima)
axarr[i/2 , i%2 ].plot(vec2,vec,label= '$t_{2} ='+str(0.00+(j-initials[0])*0.005 )+'$')
print size(vec0)
axarr[i/2 , i%2 ].legend(fontsize=20)
axarr[i/2 , i%2 ].set_xlim([-0.5,0.5])
spin = '\uparrow'
if i%2 == 1 : spin = '\downarrow';
title = 'Dot $'+str(i/2 +1 )+'$ , Spin $'+ spin +'$'
print title
axarr[i/2 , i%2 ].set_title(title)
#axarr[i/2 , i%2 ].set_ylim([-0.0,9.0])
if i>1 : axarr[i/2 , i%2 ].set_xlabel('$\omega$',fontsize=25)
if i%2 == 0 : axarr[i/2 , i%2 ].set_ylabel('Spectral Density',fontsize=25)
t2 = -0.0 + double(initials-initials[0]) * 0.005
axarr2.plot(t2,vec0 , label= title)
t2 = -0.0 + double(initials-initials[0]) * 0.005
if i%2 == 0 :
new0 = vec0
else:
print array(vec0)/array(new0)
axarr3.plot(t2,array(new0)/array(vec0) , label= title)
axarr2.set_xlabel('$t_1=t_{2}$',fontsize=25)
axarr2.set_ylabel('$\pi \Gamma \\rho(0)$',fontsize=25)
axarr2.legend(fontsize=20)
axarr2.set_xlim([-0.0,0.02])
axarr2.set_ylim([0.0,4.5])
axarr3.set_xlabel('$t_1=t_{2}$',fontsize=25)
axarr3.set_ylabel('$\\rho_\uparrow(0)/\\rho_\downarrow(0)$',fontsize=25)
axarr3.legend(fontsize=20)
axarr3.set_xlim([-0.0,0.02])
#axarr3.set_ylim([0.0,1.0])
Out[199]:
In [ ]:
initials = array([109,119,124])
for i in range(4):
vec0 = []
#for j in range(40,46):
for j in initials:
param = t2[where(initials == j)] ; param = param[0]
#Read file
vec , vec2 = readfile(j, i)
#get 0 value of the DOS