Example #1
0
def test_cf_G_tau_and_G_iw_nonint(verbose=False):

    beta = 3.22
    eps = 1.234

    niw = 64
    ntau = 2 * niw + 1
    
    H = eps * c_dag(0,0) * c(0,0)

    fundamental_operators = [c(0,0)]

    ed = TriqsExactDiagonalization(H, fundamental_operators, beta)

    # ------------------------------------------------------------------
    # -- Single-particle Green's functions

    G_tau = GfImTime(beta=beta, statistic='Fermion', n_points=ntau, target_shape=(1,1))
    G_iw = GfImFreq(beta=beta, statistic='Fermion', n_points=niw, target_shape=(1,1))

    G_iw << inverse( iOmega_n - eps )
    G_tau << InverseFourier(G_iw)

    G_tau_ed = GfImTime(beta=beta, statistic='Fermion', n_points=ntau, target_shape=(1,1))
    G_iw_ed = GfImFreq(beta=beta, statistic='Fermion', n_points=niw, target_shape=(1,1))

    ed.set_g2_tau(G_tau_ed[0, 0], c(0,0), c_dag(0,0))
    ed.set_g2_iwn(G_iw_ed[0, 0], c(0,0), c_dag(0,0))

    # ------------------------------------------------------------------
    # -- Compare gfs

    from pytriqs.utility.comparison_tests import assert_gfs_are_close
    
    assert_gfs_are_close(G_tau, G_tau_ed)
    assert_gfs_are_close(G_iw, G_iw_ed)
    
    # ------------------------------------------------------------------
    # -- Plotting
    
    if verbose:
        from pytriqs.plot.mpl_interface import oplot, plt
        subp = [3, 1, 1]
        plt.subplot(*subp); subp[-1] += 1
        oplot(G_tau.real)
        oplot(G_tau_ed.real)

        plt.subplot(*subp); subp[-1] += 1
        diff = G_tau - G_tau_ed
        oplot(diff.real)
        oplot(diff.imag)
        
        plt.subplot(*subp); subp[-1] += 1
        oplot(G_iw)
        oplot(G_iw_ed)
        
        plt.show()
Example #2
0
def make_calc(beta=2.0, h_field=0.0):
    
    # ------------------------------------------------------------------
    # -- Hubbard atom with two bath sites, Hamiltonian

    p = ParameterCollection(
        beta = beta,
        h_field = h_field,
        U = 5.0,
        ntau = 40,
        niw = 15,
        )

    p.mu = 0.5*p.U
    
    # ------------------------------------------------------------------

    print '--> Solving SIAM with parameters'
    print p
    
    # ------------------------------------------------------------------

    up, do = 'up', 'dn'
    docc = c_dag(up,0) * c(up,0) * c_dag(do,0) * c(do,0)
    mA = c_dag(up,0) * c(up,0) - c_dag(do,0) * c(do,0)
    nA = c_dag(up,0) * c(up,0) + c_dag(do,0) * c(do,0)

    p.H = -p.mu * nA + p.U * docc + p.h_field * mA
    
    # ------------------------------------------------------------------

    fundamental_operators = [c(up,0), c(do,0)]
    
    ed = TriqsExactDiagonalization(p.H, fundamental_operators, p.beta)

    g_tau = GfImTime(beta=beta, statistic='Fermion', n_points=40, indices=[0])
    g_iw = GfImFreq(beta=beta, statistic='Fermion', n_points=10, indices=[0])

    p.G_tau = BlockGf(name_list=[up,do], block_list=[g_tau]*2, make_copies=True)
    p.G_iw = BlockGf(name_list=[up,do], block_list=[g_iw]*2, make_copies=True)
    
    ed.set_g2_tau(p.G_tau[up], c(up,0), c_dag(up,0))
    ed.set_g2_tau(p.G_tau[do], c(do,0), c_dag(do,0))

    ed.set_g2_iwn(p.G_iw[up], c(up,0), c_dag(up,0))
    ed.set_g2_iwn(p.G_iw[do], c(do,0), c_dag(do,0))

    p.magnetization = ed.get_expectation_value(0.5 * mA)
    p.magnetization2 = ed.get_expectation_value(0.25 * mA * mA)
    
    # ------------------------------------------------------------------
    # -- Store to hdf5
    
    filename = 'data_pyed_h_field_%4.4f.h5' % h_field
    with HDFArchive(filename,'w') as res:
        res['p'] = p
Example #3
0
    # ------------------------------------------------------------------
    # -- Single-particle Green's functions

    g_tau = GfImTime(name=r'$g$',
                     beta=beta,
                     statistic='Fermion',
                     n_points=50,
                     indices=[1])

    g_iwn = GfImFreq(name='$g$',
                     beta=beta,
                     statistic='Fermion',
                     n_points=10,
                     indices=[1])

    ed.set_g2_tau(g_tau, c(up, 0), c_dag(up, 0))
    ed.set_g2_iwn(g_iwn, c(up, 0), c_dag(up, 0))

    # ------------------------------------------------------------------
    # -- Two particle Green's functions

    ntau = 20
    imtime = MeshImTime(beta, 'Fermion', ntau)
    prodmesh = MeshProduct(imtime, imtime, imtime)

    g40_tau = Gf(name='g40_tau', mesh=prodmesh, target_shape=[1, 1, 1, 1])
    g4_tau = Gf(name='g4_tau', mesh=prodmesh, target_shape=[1, 1, 1, 1])

    ed.set_g40_tau(g40_tau, g_tau)
    ed.set_g4_tau(g4_tau, c(up, 0), c_dag(up, 0), c(up, 0), c_dag(up, 0))
Example #4
0
    beta = 10.0
    U = 2.0
    mu = 1.0
    h = 0.1
    #V = 0.5
    V = 1.0
    epsilon = 2.3

    H = U * n('up', 0) * n('do', 0) + \
        - mu * (n('up', 0) + n('do', 0)) + \
        h * n('up', 0) - h * n('do', 0) + \
        epsilon * (n('up', 1) + n('do', 1)) - epsilon * (n('up', 2) + n('do', 2)) + \
        V * ( c_dag('up', 0) * c('up', 1) + c_dag('up', 1) * c('up', 0) ) + \
        V * ( c_dag('do', 0) * c('do', 1) + c_dag('do', 1) * c('do', 0) ) + \
        V * ( c_dag('up', 0) * c('up', 2) + c_dag('up', 2) * c('up', 0) ) + \
        V * ( c_dag('do', 0) * c('do', 2) + c_dag('do', 2) * c('do', 0) )

    ed = TriqsExactDiagonalization(H, fundamental_operators, beta)

    n_tau = 101
    G_tau_up = Gf(mesh=MeshImTime(beta, 'Fermion', n_tau), target_shape=[])
    G_tau_do = Gf(mesh=MeshImTime(beta, 'Fermion', n_tau), target_shape=[])

    ed.set_g2_tau(G_tau_up, c('up', 0), c_dag('up', 0))
    ed.set_g2_tau(G_tau_do, c('do', 0), c_dag('do', 0))

    with HDFArchive('anderson.pyed.h5', 'w') as Results:
        Results['up'] = G_tau_up
        Results['dn'] = G_tau_do
Example #5
0
        c(up,0), c(do,0), c(up,1), c(do,1), c(up,2), c(do,2)]

    ed = TriqsExactDiagonalization(H, fundamental_operators, beta)

    # ------------------------------------------------------------------
    # -- Single-particle Green's functions

    g_tau = GfImTime(name=r'$g$', beta=beta,
                     statistic='Fermion', n_points=50,
                     target_shape=(1,1))

    g_iwn = GfImFreq(name='$g$', beta=beta,
                     statistic='Fermion', n_points=10,
                     target_shape=(1,1))

    ed.set_g2_tau(g_tau[0,0], c(up,0), c_dag(up,0))
    ed.set_g2_iwn(g_iwn[0,0], c(up,0), c_dag(up,0))

    # ------------------------------------------------------------------
    # -- Two particle Green's functions

    ntau = 20
    imtime = MeshImTime(beta, 'Fermion', ntau)
    prodmesh = MeshProduct(imtime, imtime, imtime)

    g40_tau = Gf(name='g40_tau', mesh=prodmesh, target_shape=[1, 1, 1, 1])
    g4_tau = Gf(name='g4_tau', mesh=prodmesh, target_shape=[1, 1, 1, 1])

    ed.set_g40_tau(g40_tau, g_tau[0,0])
    ed.set_g4_tau(g4_tau[0,0,0,0], c(up,0), c_dag(up,0), c(up,0), c_dag(up,0))
Example #6
0
def make_calc(U=10):

    # ------------------------------------------------------------------
    # -- Hubbard atom with two bath sites, Hamiltonian

    params = dict(
        beta=2.0,
        V1=2.0,
        V2=5.0,
        epsilon1=0.00,
        epsilon2=4.00,
        mu=2.0,
        U=U,
        ntau=40,
        niw=15,
    )

    # ------------------------------------------------------------------

    class Dummy():
        def __init__(self):
            pass

    d = Dummy()  # storage space
    d.params = params

    print '--> Solving SIAM with parameters'
    for key, value in params.items():
        print '%10s = %-10s' % (key, str(value))
        globals()[key] = value  # populate global namespace

    # ------------------------------------------------------------------

    up, do = 0, 1
    docc = c_dag(up, 0) * c(up, 0) * c_dag(do, 0) * c(do, 0)
    nA = c_dag(up, 0) * c(up, 0) + c_dag(do, 0) * c(do, 0)
    nB = c_dag(up, 1) * c(up, 1) + c_dag(do, 1) * c(do, 1)
    nC = c_dag(up, 2) * c(up, 2) + c_dag(do, 2) * c(do, 2)

    d.H = -mu * nA + epsilon1 * nB + epsilon2 * nC + U * docc + \
        V1 * (c_dag(up,0)*c(up,1) + c_dag(up,1)*c(up,0) + \
              c_dag(do,0)*c(do,1) + c_dag(do,1)*c(do,0) ) + \
        V2 * (c_dag(up,0)*c(up,2) + c_dag(up,2)*c(up,0) + \
              c_dag(do,0)*c(do,2) + c_dag(do,2)*c(do,0) )

    # ------------------------------------------------------------------
    # -- Exact diagonalization

    fundamental_operators = [
        c(up, 0), c(do, 0),
        c(up, 1), c(do, 1),
        c(up, 2), c(do, 2)
    ]

    ed = TriqsExactDiagonalization(d.H, fundamental_operators, beta)

    # ------------------------------------------------------------------
    # -- Single-particle Green's functions

    Gopt = dict(beta=beta, statistic='Fermion', indices=[1])
    d.G_tau = GfImTime(name=r'$G(\tau)$', n_points=ntau, **Gopt)
    d.G_iw = GfImFreq(name='$G(i\omega_n)$', n_points=niw, **Gopt)

    ed.set_g2_tau(d.G_tau, c(up, 0), c_dag(up, 0))
    ed.set_g2_iwn(d.G_iw, c(up, 0), c_dag(up, 0))

    # chi2pp = + < c^+_u(\tau^+) c_u(0^+) c^+_d(\tau) c_d(0) >
    #        = - < c^+_u(\tau^+) c^+_d(\tau) c_u(0^+) c_d(0) >

    chi2opt = dict(beta=beta, statistic='Fermion', indices=[1], n_points=ntau)
    d.chi2pp_tau = GfImTime(name=r'$\chi^{(2)}_{PP}(\tau)$', **chi2opt)
    ed.set_g2_tau(d.chi2pp_tau,
                  c_dag(up, 0) * c_dag(do, 0),
                  c(up, 0) * c(do, 0))
    d.chi2pp_tau *= -1.0 * -1.0  # commutation sign and gf sign
    d.chi2pp_iw = g_iw_from_tau(d.chi2pp_tau, niw)

    # chi2ph = < c^+_u(\tau^+) c_u(\tau) c^+_d(0^+) c_d(0) >

    d.chi2ph_tau = GfImTime(name=r'$\chi^{(2)}_{PH}(\tau)$', **chi2opt)
    #d.chi2ph_tau = Gf(name=r'$\chi^{(2)}_{PH}(\tau)$', **chi2opt)
    ed.set_g2_tau(d.chi2ph_tau,
                  c_dag(up, 0) * c(up, 0),
                  c_dag(do, 0) * c(do, 0))
    d.chi2ph_tau *= -1.0  # gf sign
    d.chi2ph_iw = g_iw_from_tau(d.chi2ph_tau, niw)

    # ------------------------------------------------------------------
    # -- Two particle Green's functions

    imtime = MeshImTime(beta, 'Fermion', ntau)
    prodmesh = MeshProduct(imtime, imtime, imtime)
    G2opt = dict(mesh=prodmesh, target_shape=[1, 1, 1, 1])

    d.G02_tau = Gf(name='$G^{(2)}_0(\tau_1, \tau_2, \tau_3)$', **G2opt)
    ed.set_g40_tau(d.G02_tau, d.G_tau)
    d.G02_iw = chi4_iw_from_tau(d.G02_tau, niw)

    d.G2_tau = Gf(name='$G^{(2)}(\tau_1, \tau_2, \tau_3)$', **G2opt)
    ed.set_g4_tau(d.G2_tau, c_dag(up, 0), c(up, 0), c_dag(do, 0), c(do, 0))
    #ed.set_g4_tau(d.G2_tau, c(up,0), c_dag(up,0), c(do,0), c_dag(do,0)) # <cc^+cc^+>
    d.G2_iw = chi4_iw_from_tau(d.G2_tau, niw)

    # -- trying to fix the bug in the fft for w2

    d.G02_iw.data[:] = d.G02_iw.data[:, ::-1, ...].conj()
    d.G2_iw.data[:] = d.G2_iw.data[:, ::-1, ...].conj()

    # ------------------------------------------------------------------
    # -- 3/2-particle Green's functions (equal times)

    prodmesh = MeshProduct(imtime, imtime)
    chi3opt = dict(mesh=prodmesh, target_shape=[1, 1, 1, 1])

    # chi3pp = <c^+_u(\tau) c_u(0^+) c^+_d(\tau') c_d(0) >
    #        = - <c^+_u(\tau) c^+_d(\tau') c_u(0^+) c_d(0) >

    d.chi3pp_tau = Gf(name='$\Chi^{(3)}_{PP}(\tau_1, \tau_2, \tau_3)$',
                      **chi3opt)
    ed.set_g3_tau(d.chi3pp_tau, c_dag(up, 0), c_dag(do, 0),
                  c(up, 0) * c(do, 0))
    d.chi3pp_tau *= -1.0  # from commutation
    d.chi3pp_iw = chi3_iw_from_tau(d.chi3pp_tau, niw)

    # chi3ph = <c^+_u(\tau) c_u(\tau') c^+_d(0^+) c_d(0) >

    d.chi3ph_tau = Gf(name='$\Chi^{(3)}_{PH}(\tau_1, \tau_2, \tau_3)$',
                      **chi3opt)
    ed.set_g3_tau(d.chi3ph_tau, c_dag(up, 0), c(up, 0),
                  c_dag(do, 0) * c(do, 0))
    d.chi3ph_iw = chi3_iw_from_tau(d.chi3ph_tau, niw)

    # ------------------------------------------------------------------
    # -- Store to hdf5

    filename = 'data_ed.h5'
    with HDFArchive(filename, 'w') as res:
        for key, value in d.__dict__.items():
            res[key] = value
Example #7
0
def test_two_particle_greens_function():

    # ------------------------------------------------------------------
    # -- Hubbard atom with two bath sites, Hamiltonian

    beta = 2.0
    V1 = 2.0
    V2 = 5.0
    epsilon1 = 0.00
    epsilon2 = 4.00
    mu = 2.0
    U = 0.0

    up, do = 0, 1
    docc = c_dag(up, 0) * c(up, 0) * c_dag(do, 0) * c(do, 0)
    nA = c_dag(up, 0) * c(up, 0) + c_dag(do, 0) * c(do, 0)
    nB = c_dag(up, 1) * c(up, 1) + c_dag(do, 1) * c(do, 1)
    nC = c_dag(up, 2) * c(up, 2) + c_dag(do, 2) * c(do, 2)

    H = -mu * nA + epsilon1 * nB + epsilon2 * nC + U * docc + \
        V1 * (c_dag(up, 0) * c(up, 1) + c_dag(up, 1) * c(up, 0) +
              c_dag(do, 0) * c(do, 1) + c_dag(do, 1) * c(do, 0)) + \
        V2 * (c_dag(up, 0) * c(up, 2) + c_dag(up, 2) * c(up, 0) +
              c_dag(do, 0) * c(do, 2) + c_dag(do, 2) * c(do, 0))

    # ------------------------------------------------------------------
    # -- Exact diagonalization

    fundamental_operators = [
        c(up, 0), c(do, 0),
        c(up, 1), c(do, 1),
        c(up, 2), c(do, 2)
    ]

    ed = TriqsExactDiagonalization(H, fundamental_operators, beta)

    # ------------------------------------------------------------------
    # -- single particle Green's functions

    g_tau = GfImTime(name=r'$g$',
                     beta=beta,
                     statistic='Fermion',
                     n_points=100,
                     target_shape=(1, 1))

    ed.set_g2_tau(g_tau[0, 0], c(up, 0), c_dag(up, 0))

    # ------------------------------------------------------------------
    # -- Two particle Green's functions

    ntau = 10
    imtime = MeshImTime(beta, 'Fermion', ntau)
    prodmesh = MeshProduct(imtime, imtime, imtime)

    g40_tau = Gf(name='g40_tau', mesh=prodmesh, target_shape=(1, 1, 1, 1))
    g4_tau = Gf(name='g4_tau', mesh=prodmesh, target_shape=(1, 1, 1, 1))

    ed.set_g40_tau_matrix(g40_tau, g_tau)
    ed.set_g4_tau(g4_tau[0, 0, 0, 0], c(up, 0), c_dag(up, 0), c(up, 0),
                  c_dag(up, 0))

    # ------------------------------------------------------------------
    # -- compare

    zero_outer_planes_and_equal_times(g4_tau)
    zero_outer_planes_and_equal_times(g40_tau)
    np.testing.assert_array_almost_equal(g4_tau.data, g40_tau.data)
Example #8
0
File: calc.py Project: daihui/pyed
    fundamental_operators = [
        c(up, 0), c(do, 0),
        c(up, 1), c(do, 1),
        c(up, 2), c(do, 2)
    ]

    ed = TriqsExactDiagonalization(H, fundamental_operators, beta)

    # ------------------------------------------------------------------
    # -- Single-particle Green's functions

    g_tau = GfImTime(name=r'$g$',
                     beta=beta,
                     statistic='Fermion',
                     n_points=500,
                     indices=['A', 'B'])

    for (i1, s1), (i2, s2) in itertools.product([('A', up), ('B', do)],
                                                repeat=2):
        print i1, s1, i2, s2
        ed.set_g2_tau(g_tau[i1, i2], c(s1, 0), c_dag(s2, 0))

    # ------------------------------------------------------------------
    # -- Store to hdf5

    with HDFArchive('data_ed.h5', 'w') as res:
        res['tot'] = g_tau

# ----------------------------------------------------------------------
Example #9
0
def make_calc(beta=2.0, h_field=0.0):

    # ------------------------------------------------------------------
    # -- Hubbard atom with two bath sites, Hamiltonian

    p = ParameterCollection(
        beta=beta,
        V1=2.0,
        V2=5.0,
        epsilon1=0.10,
        epsilon2=3.00,
        h_field=h_field,
        mu=0.0,
        U=5.0,
        ntau=800,
        niw=15,
    )

    # ------------------------------------------------------------------

    print '--> Solving SIAM with parameters'
    print p

    # ------------------------------------------------------------------

    up, do = 'up', 'dn'
    docc = c_dag(up, 0) * c(up, 0) * c_dag(do, 0) * c(do, 0)
    mA = c_dag(up, 0) * c(up, 0) - c_dag(do, 0) * c(do, 0)

    nA = c_dag(up, 0) * c(up, 0) + c_dag(do, 0) * c(do, 0)
    nB = c_dag(up, 1) * c(up, 1) + c_dag(do, 1) * c(do, 1)
    nC = c_dag(up, 2) * c(up, 2) + c_dag(do, 2) * c(do, 2)

    p.H = -p.mu * nA + p.U * docc + p.h_field * mA + \
        p.epsilon1 * nB + p.epsilon2 * nC + \
        p.V1 * (c_dag(up,0)*c(up,1) + c_dag(up,1)*c(up,0) + \
              c_dag(do,0)*c(do,1) + c_dag(do,1)*c(do,0) ) + \
        p.V2 * (c_dag(up,0)*c(up,2) + c_dag(up,2)*c(up,0) + \
              c_dag(do,0)*c(do,2) + c_dag(do,2)*c(do,0) )

    # ------------------------------------------------------------------

    fundamental_operators = [
        c(up, 0), c(do, 0),
        c(up, 1), c(do, 1),
        c(up, 2), c(do, 2)
    ]

    ed = TriqsExactDiagonalization(p.H, fundamental_operators, p.beta)

    g_tau = GfImTime(beta=beta, statistic='Fermion', n_points=400, indices=[0])
    g_iw = GfImFreq(beta=beta, statistic='Fermion', n_points=10, indices=[0])

    p.G_tau = BlockGf(name_list=[up, do],
                      block_list=[g_tau] * 2,
                      make_copies=True)
    p.G_iw = BlockGf(name_list=[up, do],
                     block_list=[g_iw] * 2,
                     make_copies=True)

    ed.set_g2_tau(p.G_tau[up][0, 0], c(up, 0), c_dag(up, 0))
    ed.set_g2_tau(p.G_tau[do][0, 0], c(do, 0), c_dag(do, 0))

    ed.set_g2_iwn(p.G_iw[up][0, 0], c(up, 0), c_dag(up, 0))
    ed.set_g2_iwn(p.G_iw[do][0, 0], c(do, 0), c_dag(do, 0))

    p.magnetization = ed.get_expectation_value(0.5 * mA)

    p.O_tau = Gf(mesh=MeshImTime(beta, 'Fermion', 400), target_shape=[])
    ed.set_g2_tau(p.O_tau, n(up, 0), n(do, 0))
    p.O_tau.data[:] *= -1.

    p.exp_val = ed.get_expectation_value(n(up, 0) * n(do, 0))

    # ------------------------------------------------------------------
    # -- Store to hdf5

    filename = 'data_pyed_h_field_%4.4f.h5' % h_field
    with HDFArchive(filename, 'w') as res:
        res['p'] = p
Example #10
0
        print i1, i2, i3, i4

        o1, o2, o3, o4 = m.op_imp[i1], m.op_imp[i2], m.op_imp[i3], m.op_imp[i4]

        O1 = dagger(o1) * o2
        O2 = dagger(o3) * o4

        p.O1_exp[i1, i2] = ed.get_expectation_value(O1)
        p.O2_exp[i3, i4] = ed.get_expectation_value(O2)

        p.chi_dissconn[i1, i2, i3, i4] = p.O1_exp[i1, i2] * p.O2_exp[i3, i4]

        p.chi_static[i1, i2, i3, i4] = ed.get_expectation_value(O1 * O2)

        ed.set_g2_tau(p.chi_tau[i1, i2, i3, i4], O1, O2)

        chi_tau = p.chi_tau[i1, i2, i3, i4]
        chi_tau *= -1.  # cancel gf -1 prefactor

        chi_dissconn = p.chi_dissconn[i1, i2, i3, i4]
        chi_tau.data[:] -= chi_dissconn

        p.chi[i1, i2, i3, i4] = np.trapz(chi_tau.data, x=tau) / m.beta

    # ------------------------------------------------------------------
    # -- Store to hdf5

    if mpi.is_master_node():
        with HDFArchive('data_pyed.h5', 'w') as res:
            res['p'] = p
Example #11
0
    T_imp = block_diag(T_imp, T_imp)
    T_bath = block_diag(T_bath, T_bath)

    print 'V =\n', V
    print 'T_imp =\n', T_imp
    print 'T_bath =\n', T_bath

    T = np.block([[T_imp, V], [V.T, T_bath]])

    print 'T =\n', T

    H_int = h_int_kanamori(spin_names, imp_idxs,
                           np.array([[0, U - 3 * J], [U - 3 * J, 0]]),
                           np.array([[U, U - 2 * J], [U - 2 * J, U]]), J, True)

    H = H_int + get_quadratic_operator(T, fop)

    ed = TriqsExactDiagonalization(H, fop, beta)

    n_tau = 101
    G_tau_up = Gf(mesh=MeshImTime(beta, 'Fermion', n_tau), target_shape=[2, 2])
    G_tau_do = Gf(mesh=MeshImTime(beta, 'Fermion', n_tau), target_shape=[2, 2])

    for i1, i2 in itertools.product(range(norb), repeat=2):
        ed.set_g2_tau(G_tau_up[i1, i2], c('up', i1), c_dag('up', i2))
        ed.set_g2_tau(G_tau_do[i1, i2], c('do', i1), c_dag('do', i2))

    with HDFArchive('kanamori_offdiag.pyed.h5', 'w') as Results:
        Results['up'] = G_tau_up
        Results['dn'] = G_tau_do