コード例 #1
0
def test_square_lattice_chi00():

    # ------------------------------------------------------------------
    # -- Discretizations

    n_k = (2, 2, 1)
    nw_g = 500
    nnu = 400
    nw = 1

    # ------------------------------------------------------------------
    # -- tight binding parameters

    beta = 20.0
    mu = 0.0
    t = 1.0

    h_loc = np.array([
        [-0.3, -0.5],
        [-0.5, .4],
    ])

    T = -t * np.array([
        [1., 0.23],
        [0.23, 0.5],
    ])

    # ------------------------------------------------------------------
    # -- tight binding

    print '--> tight binding model'
    t_r = TBLattice(
        units=[(1, 0, 0), (0, 1, 0)],
        hopping={
            # nearest neighbour hopping -t
            (0, 0): h_loc,
            (0, +1): T,
            (0, -1): T,
            (+1, 0): T,
            (-1, 0): T,
        },
        orbital_positions=[(0, 0, 0)] * 2,
        orbital_names=['up_0', 'do_0'],
    )

    e_k = t_r.on_mesh_brillouin_zone(n_k)
    kmesh = e_k.mesh

    wmesh = MeshImFreq(beta=beta, S='Fermion', n_max=nw_g)

    print '--> g0_wk'
    g0_wk = lattice_dyson_g0_wk(mu=mu, e_k=e_k, mesh=wmesh)

    print '--> g0_wr'
    g0_wr = fourier_wk_to_wr(g0_wk)

    print '--> g0_tr'
    g0_tr = fourier_wr_to_tr(g0_wr)

    # ------------------------------------------------------------------
    # -- anaytic chi00

    print '--> chi00_wk analytic'
    chi00_wk_analytic = lindhard_chi00_wk(e_k=e_k, nw=nw, beta=beta, mu=mu)

    print '--> chi00_wr analytic'
    chi00_wr_analytic = chi_wr_from_chi_wk(chi00_wk_analytic)

    # ------------------------------------------------------------------
    # -- imtime chi00

    print '--> chi0_tr_from_grt_PH'
    chi00_tr = chi0_tr_from_grt_PH(g0_tr)

    print '--> chi_wr_from_chi_tr'
    chi00_wr = chi_wr_from_chi_tr(chi00_tr, nw=1)

    print '--> chi_w0r_from_chi_tr'
    chi00_wr_ref = chi_w0r_from_chi_tr(chi00_tr)

    print '--> chi0_w0r_from_grt_PH'
    chi00_wr_opt = chi0_w0r_from_grt_PH(g0_tr)

    print 'dchi00_wr     =', np.max(
        np.abs(chi00_wr_analytic.data - chi00_wr.data))
    print 'dchi00_wr_ref =', np.max(
        np.abs(chi00_wr_analytic.data - chi00_wr_ref.data))
    print 'dchi00_wr_opt =', np.max(
        np.abs(chi00_wr_analytic.data - chi00_wr_opt.data))

    np.testing.assert_array_almost_equal(chi00_wr_analytic.data,
                                         chi00_wr.data,
                                         decimal=8)

    np.testing.assert_array_almost_equal(chi00_wr_analytic.data,
                                         chi00_wr_ref.data,
                                         decimal=4)

    np.testing.assert_array_almost_equal(chi00_wr_analytic.data,
                                         chi00_wr_opt.data,
                                         decimal=4)

    print '--> chi_wk_from_chi_wr'
    chi00_wk_imtime = chi_wk_from_chi_wr(chi00_wr)

    # ------------------------------------------------------------------
    # -- imtime chi00 helper function

    chi00_wk_imtime_2 = imtime_bubble_chi0_wk(g0_wk, nw=1)

    # ------------------------------------------------------------------
    # -- imfreq chi00

    print '--> chi00_wnr'
    chi00_wnr = chi0r_from_gr_PH(nw=1, nnu=nnu, gr=g0_wr)

    print '--> chi00_wnk'
    chi00_wnk = chi0q_from_chi0r(chi00_wnr)

    # -- Test per k and w calculator for chi0_wnk
    print '--> chi00_wnk_ref'
    from triqs_tprf.lattice import chi0q_from_g_wk_PH
    chi00_wnk_ref = chi0q_from_g_wk_PH(nw=1, nnu=nnu, g_wk=g0_wk)

    diff = np.max(np.abs(chi00_wnk.data - chi00_wnk_ref.data))
    print 'chi00_wnk diff =', diff
    np.testing.assert_array_almost_equal(chi00_wnk.data, chi00_wnk_ref.data)

    print '--> chi00_wk_imfreq'
    chi00_wk_imfreq = chi0q_sum_nu(chi00_wnk)

    print '--> chi00_wk_imfreq_tail_corr'
    chi00_wk_imfreq_tail_corr = chi0q_sum_nu_tail_corr_PH(chi00_wnk)

    # ------------------------------------------------------------------
    # -- Compare results

    def cf_chi_w0(chi1, chi2, decimal=9):
        chi1, chi2 = chi1[Idx(0), :].data, chi2[Idx(0), :].data
        diff = np.linalg.norm(chi1 - chi2)
        print '|dchi| =', diff
        np.testing.assert_array_almost_equal(chi1, chi2, decimal=decimal)

    print '--> Cf analytic with imtime'
    cf_chi_w0(chi00_wk_analytic, chi00_wk_imtime, decimal=7)

    print '--> Cf analytic with imtime 2'
    cf_chi_w0(chi00_wk_analytic, chi00_wk_imtime_2, decimal=4)

    print '--> Cf analytic with imfreq'
    cf_chi_w0(chi00_wk_analytic, chi00_wk_imfreq, decimal=2)

    print '--> Cf analytic with imfreq (tail corr)'
    cf_chi_w0(chi00_wk_analytic, chi00_wk_imfreq_tail_corr, decimal=5)
コード例 #2
0
ファイル: mean_field.py プロジェクト: TRIQS/tprf
    print('n, m =', n, m)

    E_tot = E_kin - U * (n**2 / 4 - m**2)
    print('E_tot =', E_tot)

    np.testing.assert_almost_equal(E_tot_ref, E_tot, decimal=6)

    # ------------------------------------------------------------------
    # -- Lattice chi0

    print('--> chi00_wk')
    chi00_wk = imtime_bubble_chi0_wk(g0_wk, nw=1)
    print('chi0_q0 =\n', chi00_wk[Idx(0), Idx(0, 0, 0)].real.reshape((4, 4)))

    print('--> lindhard_chi00_wk')
    chi00_wk_analytic = lindhard_chi00_wk(e_k=e_k, nw=1, beta=beta, mu=mu)
    print('chi0_q0_analytic =\n', chi00_wk_analytic[Idx(0),
                                                    Idx(0, 0, 0)].real.reshape(
                                                        (4, 4)))

    np.testing.assert_almost_equal(chi00_wk.data,
                                   chi00_wk_analytic.data,
                                   decimal=5)

    chi0_q0_ref = chi0_q0_integral(t, beta)

    print('chi0_q0     =', chi00_wk[Idx(0), Idx(0, 0, 0)][0, 0, 0, 0].real)
    print('chi0_q0_ref =', chi0_q0_ref)

    np.testing.assert_almost_equal(
        chi00_wk_analytic[Idx(0), Idx(0, 0, 0)][0, 0, 0, 0], chi0_q0_ref)