from pytriqs.gf import *
from pytriqs.gf.gf_fnt import rebinning_tau
from pytriqs.archive import *
from pytriqs.plot.mpl_interface import oplot

with HDFArchive('slater_five_band.h5', 'r') as ar:
    # Calculate orbital- and spin-averaged Green's function
    G_tau = ar['G_tau-1']
    g = G_tau['up_0']
    # This gives a complex valued gf (required by rebinning_tau)
    g_tau_ave = Gf(mesh=g.mesh, target_shape=g.target_shape)
    for name, g in G_tau:
        g_tau_ave += g
    g_tau_ave = g_tau_ave / 10.
    g_tau_rebin = rebinning_tau(g_tau_ave, 1000)
    g_tau_rebin.name = r'$G_{\rm ave}$'
    oplot(g_tau_rebin, linewidth=2, label='G_avg')
Exemple #2
0
N_max = 10
arch = HDFArchive('nonint.h5', 'r')

for i in arch:
    subarch = arch[i]
    pp = PdfPages("G_nonint_%s.pdf" % i)

    G_tau = subarch['G_tau']
    V = subarch['V']
    e = subarch['e']
    beta = G_tau.mesh.beta
    n_tau = len(G_tau.mesh)

    for m, b in enumerate(G_tau.indices):
        g_theor = GfImTime(indices=[0], beta=beta, n_points=n_tau)
        e1 = e[m] - V[m]
        e2 = e[m] + V[m]
        g_theor_w = GfImFreq(indices=[0], beta=beta)
        g_theor_w << 0.5 * inverse(iOmega_n - e1) + 0.5 * inverse(iOmega_n -
                                                                  e2)
        g_theor << InverseFourier(g_theor_w)

        plt.clf()
        G_bin = rebinning_tau(G_tau[b], 200)
        oplot(G_bin[0, 0], name="cthyb")
        oplot(g_theor[0, 0], name="Theory")

        pp.savefig(plt.gcf())

    pp.close()
Exemple #3
0
plt.bar(index-0.13, y_N1_up, bottom=y_N1_dn, align='center', width=0.15, color = 'tomato', label = '$\\uparrow$' )
plt.bar(index+0.13, y_N2_up, bottom=y_N2_dn, align='center', width=0.15, color = 'tomato')
plt.legend(loc = 'upper center', fontsize = 9)
pp.savefig()

pp.close()

# Plot Green's functions
pp = PdfPages('G_tau_mg_beta%.0f_prob%.2f.pdf' % (beta,move_global_prob))

mg_pairs = [(a,b) for a,b in product(all_mg,all_mg) if a<b]
spin_labels = {'up':'$\uparrow\uparrow$', 'dn':'$\downarrow\downarrow$'}
for mg1, mg2 in mg_pairs:

    plt.clf()
    for s, i in product(('up','dn'),(0,1)):
        G_tau_1 = rebinning_tau(arch[mg1]['G_tau'][s], plot_n_tau)
        G_tau_2 = rebinning_tau(arch[mg2]['G_tau'][s], plot_n_tau)

        oplot(G_tau_1[i,i], alpha=0.25, mode='R', label="%s,%s,%i%i" % (mg1,s,i,i))
        oplot(G_tau_2[i,i], alpha=0.25, mode='R', label="%s,%s,%i%i" % (mg2,s,i,i))

    plt.title("Test move_global $\\beta$ = %.0f, move_global_prob = %.3f" % (beta,move_global_prob), fontsize=12)
    plt.ylim(-0.6,0.05)
    plt.ylabel('$G(\\tau)$')
    plt.legend(loc = 'lower center', fontsize = 9)
    pp.savefig()

pp.close()

Exemple #4
0
num_orbitals = 2

pp = PdfPages('G.pdf')
ed_arch = HDFArchive('kanamori_offdiag.ed.h5', 'r')

for use_qn in (True, False):
    file_name = "kanamori_offdiag"
    if use_qn: file_name += ".qn"
    file_name += ".h5"

    try:
        arch = HDFArchive(file_name, 'r')

        name = "cthyb (QN)" if use_qn else "cthyb"

        GF_up = rebinning_tau(arch['G_tau']['up'], 200)
        GF_dn = rebinning_tau(arch['G_tau']['dn'], 200)

        ed_opt = dict(lw=2.0, alpha=1.0)
        cthyb_opt = dict(lw=1.0, alpha=1.0)

        for o1, o2 in product(range(num_orbitals), repeat=2):
            plt.clf()
            plt.title('using_qn = ' + str(use_qn))
            oplot(ed_arch['up'][o1, o2],
                  name="ED,$\uparrow%i%i$" % (o1, o2),
                  **ed_opt)
            oplotr(GF_up[o1, o2],
                   name=name + ",$\uparrow%i%i$" % (o1, o2),
                   **cthyb_opt)
            oploti(GF_up[o1, o2],
Exemple #5
0
        e = delta_params[cn]['e']

        e1 = e - V
        e2 = e + V

        g_theor_w = GfImFreq(indices = [0], beta=beta, n_points=10)
        g_theor_w << 0.5*inverse(iOmega_n - e1) + 0.5*inverse(iOmega_n - e2)
        g_theor[nc,nc] << InverseFourier(g_theor_w)

pp = PdfPages('G.pdf')

for sn in spin_names:
    for nc, cn in enumerate(orb_names):
        plt.clf()

        gf = rebinning_tau(arch['G_tau'][mkind(sn,cn)[0]],200)

        # Plot the results
        oplot(gf, name="cthyb")
        # Plot the reference curve
        if use_interaction:
            oplot(g_ref[nc,nc], name="ED")
        else:
            oplot(g_theor[nc,nc], name="ED")

        axes = plt.gca()
        axes.set_title('$' + sn + '$, $' + cn + '$')
        axes.set_xlabel('$\\tau$')
        axes.set_ylabel('$G(\\tau)$')
        axes.set_ylim(-1,0)
        axes.legend(loc='lower center',prop={'size':14})
Exemple #6
0
num_orbitals = 2

pp = PdfPages('G.pdf')
ed_arch = HDFArchive('kanamori.ed.h5', 'r')

for use_qn in (True, False):
    file_name = "kanamori"
    if use_qn: file_name += ".qn"
    file_name += ".h5"

    try:
        arch = HDFArchive(file_name, 'r')
        plt.clf()

        name = "cthyb (QN)" if use_qn else "cthyb"
        for o in range(num_orbitals):
            oplot(rebinning_tau(arch['G_tau']['up_%i' % o], 200),
                  name=name + ",$\uparrow%i$" % o)
            oplot(rebinning_tau(arch['G_tau']['dn_%i' % o], 200),
                  name=name + ",$\downarrow%i$" % o)
            oplot(ed_arch['up-%i' % o], name="ED,$\uparrow%i$" % o)
            oplot(ed_arch['dn-%i' % o], name="ED,$\downarrow%i$" % o)

        setup_fig()
        pp.savefig(plt.gcf())

    except IOError:
        pass

pp.close()
Exemple #7
0
# Plot G(\tau)
pp = PdfPages('G_asymm_bath.pdf')

for e_group_name in arch:
    e_group = arch[e_group_name]
    e_group_ed = arch_ed[e_group_name]

    beta = e_group['beta']
    U = e_group['U']
    ed = e_group['ed']
    V = e_group['V']
    e = e_group['e']

    plt.clf()
    oplot(rebinning_tau(e_group['G_tau']['up'],300),name="CTHYB,$\uparrow\uparrow$")
    oplot(rebinning_tau(e_group['G_tau']['dn'],300),name="CTHYB,$\downarrow\downarrow$")

    #oplot(rebinning_tau(e_group_ed['G_tau']['up'],300),name="ED,$\uparrow\uparrow$")
    #oplot(rebinning_tau(e_group_ed['G_tau']['dn'],300),name="ED,$\downarrow\downarrow$")
    oplot(e_group_ed['G_tau']['up'],name="ED,$\uparrow\uparrow$")
    oplot(e_group_ed['G_tau']['dn'],name="ED,$\downarrow\downarrow$")

    a = plt.gca()
    a.set_ylabel('$G(\\tau)$')
    a.set_xlim((0,beta))
    a.set_ylim((-1,0))
    a.legend(loc='lower right',prop={'size':8})

    a.set_title("$U=%.1f$, $\epsilon_d=%.1f$, $V=%.1f$, $\epsilon_k=%.1f$" % (U,ed,V,e))
Exemple #8
0
    mkind = lambda spin: (spin, 0) if use_blocks else ("tot", spin)

    try:
        arch = HDFArchive(file_name, 'r')
        plt.clf()

        name_parts = []
        if use_blocks: name_parts.append('Block')
        if use_qn: name_parts.append('QN')
        name = 'cthyb' + (' (' + ', '.join(name_parts) +
                          ')' if len(name_parts) else '')

        for spin in spin_names:
            bn, i = mkind(spin)
            GF = rebinning_tau(arch['G_tau'][bn], 500)
            if use_blocks:
                oplot(GF,
                      name=name + "," + {
                          'up': "$\uparrow\uparrow$",
                          'dn': "$\downarrow\downarrow$"
                      }[spin])
            else:
                i = spin_names.index(i)
                oplot(GF[i, i],
                      name=name + "," + {
                          'up': "$\uparrow\uparrow$",
                          'dn': "$\downarrow\downarrow$"
                      }[spin])
            oplot(ed_arch[spin],
                  name="ED," + {
Exemple #9
0
N_max = 10
arch = HDFArchive('nonint.h5', 'r')

for i in arch:
    subarch = arch[i]
    pp = PdfPages("G_nonint_%s.pdf" % i)

    G_tau = subarch['G_tau']
    V = subarch['V']
    e = subarch['e']
    beta = G_tau.mesh.beta
    n_tau = len(G_tau.mesh)

    for m, b in enumerate(G_tau.indices):
        g_theor = GfImTime(indices=[0], beta=beta, n_points=n_tau)
        e1 = e[m] - V[m]
        e2 = e[m] + V[m]
        g_theor_w = GfImFreq(indices=[0], beta=beta)
        g_theor_w << 0.5 * inverse(iOmega_n - e1) + 0.5 * inverse(iOmega_n -
                                                                  e2)
        g_theor[0, 0] << InverseFourier(g_theor_w)

        plt.clf()
        oplot(rebinning_tau(G_tau[b][0, 0], 200), name="cthyb")
        oplot(g_theor[0, 0], name="Theory")

        pp.savefig(plt.gcf())

    pp.close()