Beispiel #1
0
def ph_greens():
    # main loop for general density-density (ph) response functions
    utils.dtype = N.complex128

    nimp = 1
    nimp_sp = 2 * nimp
    nocc = 10
    nsites = 20
    nsites_sp = nsites * 2
    ndim = 2
    sz = 0
    # sites numbered in order as imp+bath ... ext
    sites_imp = range(0, 2 * nimp_sp)
    sites_ext = range(2 * nimp_sp, nsites_sp)
    ncore = 2 * nocc - 2 * nimp
    cocc = range(2 * nimp_sp, 2 * nimp_sp + ncore)
    vocc = range(2 * nimp_sp + ncore, nsites_sp)

    N.set_printoptions(precision=3)

    t = -1.  # hopping
    delta = 0.0  #25 # broadening

    #    for u in [0.0,4.0,10.0]:
    for u in [0.0, 0.5, 1.0, 2.0, 4.0, 8.0]:  #,1.0,4.0,8.0]:

        # Single impurity Anderson model
        mu = 0.
        hlat, hall, hlat_sp, hall_sp, e0 = models_embed.si_anderson_imp_ext_ni_h(
            t, nocc, nimp, nsites)
        hop, himp, hcs_imp, hds_imp, hcs_ext, hds_ext, hext = models_embed.si_anderson_imp_ext_h(
            hall_sp, u, nocc, nimp, nsites)

        #        single site Hubbard in DMET basis
        #        mu=u/2
        #        hlat,hall,hlat_sp,hall_sp,e0=models_embed.hubbard_imp_ext_ni_h(t,u,nocc,nimp,nsites)
        #        hop,himp,hcs_imp,hds_imp,hcs_ext,hds_ext,hext=models_embed.hubbard_imp_ext_h(hall_sp,u,nocc,nimp,nsites)

        # g.s embedding basis
        pemb, pcore, pvirt = embed.embed(hlat, nimp, nocc)

        # perturbation operator
        perturb = utils.zeros([nsites, nsites])
        perturb[0, 0] = 1.

        p_coeffs = {}
        p_coeffs[0, 0] = 1.
        p_coeffs[1, 1] = 1.
        perturbop = models.ContractedCD(p_coeffs)

        fd = file("ph_siam.out." + str(u), "w")
        for omega in N.arange(0, 4, 0.01):

            if abs(omega - 2.0) < 0.00001:
                continue

            ops_dict = response_embed.mb_ph_ops(hlat, perturb,
                                                omega + 1j * delta, nimp, nocc,
                                                pemb, pcore, pvirt)
            configs_dict = response_embed.mb_configs(nsites, nimp, nimp_sp,
                                                     2 * nocc - nimp_sp, 0)
            neutral_ops_configs = response_embed.mb_ph_ops_configs(
                ops_dict, configs_dict)

            # basis is setup, now build matrix representations
            perturb_mat = opbasis_ni.oimp_matrix_form(perturbop,
                                                      neutral_ops_configs,
                                                      cocc, vocc)

            # h, neutral configs
            himp_mat = opbasis_ni.oimp_matrix_form(himp, neutral_ops_configs,
                                                   cocc, vocc)
            himp_ext_mat = opbasis_ni.himp_ext_matrix_form(
                hcs_imp, hds_ext, hds_imp, hcs_ext, neutral_ops_configs, cocc,
                vocc)
            hext_mat = opbasis_ni.hext_matrix_form(hext, neutral_ops_configs,
                                                   cocc, vocc, e0)

            #print 'himp_mat size: ',himp_mat.shape
            #print 'himp_mat',himp_mat[:,0]
            #print 'hext_mat size: ',hext_mat.shape
            #print 'himp_ext_mat size: ',himp_ext_mat.shape

            hmat = himp_mat + himp_ext_mat + hext_mat

            #print 'total size hmat: ',hmat.shape

            unit_mat = opbasis_ni.oimp_matrix_form(models.Unit(),
                                                   neutral_ops_configs, cocc,
                                                   vocc)

            # get neutral ground-state energy
            es, cs = la.peigh(hmat, unit_mat)
            e0 = es[0]
            psi0 = cs[:, 0]
            # all matrices setup, solve linear response (complex)
            psi1 = la.solve_perturb(omega - 1j * delta,
                                    unit_mat,
                                    hmat,
                                    e0,
                                    psi0,
                                    perturb_mat,
                                    project=True)

            ph_gf = N.dot(N.conj(psi1), N.dot(perturb_mat, psi0))

            ph_gf0 = _second_order_energy(hlat, nocc, perturb,
                                          omega + 1j * delta)

            #print 'hlat size: ',hlat.shape
            #print 'hlat: '
            #print hlat

            #print omega, ph_gf.imag,ph_gf0.imag
            print omega, ph_gf, 2 * ph_gf0
            print >> fd, omega - mu, ph_gf.imag, ph_gf0.imag, ph_gf.real, 2 * ph_gf0.real
Beispiel #2
0
def sp_greens():
    # main loop for single-particle GF
    utils.dtype = N.complex128

    nimp = 1
    nimp_sp = 2 * nimp
    nocc = 20
    nsites = 40
    nsites_sp = nsites * 2
    ndim = 2
    sz = 0
    # sites numbered in order as imp+bath ... ext
    sites_imp = range(0, 2 * nimp_sp)
    sites_ext = range(2 * nimp_sp, nsites_sp)
    ncore = 2 * nocc - 2 * nimp
    cocc = range(2 * nimp_sp, 2 * nimp_sp + ncore)
    vocc = range(2 * nimp_sp + ncore, nsites_sp)

    N.set_printoptions(precision=3)

    t = -1.  # hopping
    delta = 0.2  # broadening

    #    for u in [0.0,4.0,10.0]:
    for u in [1.0]:

        # Single impurity Anderson model
        mu = 0.
        hlat, hall, hlat_sp, hall_sp, e0 = models_embed.si_anderson_imp_ext_ni_h(
            t, nocc, nimp, nsites)
        hop, himp, hcs_imp, hds_imp, hcs_ext, hds_ext, hext = models_embed.si_anderson_imp_ext_h(
            hall_sp, u, nocc, nimp, nsites)

        #        single site Hubbard in DMET basis
        #        mu=u/2
        #        hlat,hall,hlat_sp,hall_sp,e0=models_embed.hubbard_imp_ext_ni_h(t,u,nocc,nimp,nsites)
        #        hop,himp,hcs_imp,hds_imp,hcs_ext,hds_ext,hext=models_embed.hubbard_imp_ext_h(hall_sp,u,nocc,nimp,nsites)

        # g.s embedding basis
        pemb, pcore, pvirt = embed.embed(hlat, nimp, nocc)

        # perturbation operator
        perturb = utils.zeros([nsites])
        perturb[0] = 1.
        p_coeffs = N.array([1])
        perturb_dop = models.ContractedD(N.array([0]), p_coeffs)
        perturb_cop = models.ContractedC(N.array([0]), p_coeffs)

        fd = file("ph_siam.out." + str(u), "w")
        for omega in N.arange(-2, 2, 0.1):

            ops_dict = response_embed.mb_sp_ops(hlat, perturb,
                                                omega + 1j * delta, nimp, nocc,
                                                pemb, pcore, pvirt)
            configs_dict = response_embed.mb_configs(nsites, nimp, nimp_sp,
                                                     2 * nocc - nimp_sp, 0)
            neutral_ops_configs, plus_ops_configs, minus_ops_configs = response_embed.mb_sp_ops_configs(
                ops_dict, configs_dict)

            # basis is setup, now build matrix representations
            perturb_dop_mat = opbasis_ni.oimp_matrix_bra_ket_form(
                perturb_dop, minus_ops_configs, neutral_ops_configs, cocc,
                vocc)
            perturb_cop_mat = opbasis_ni.oimp_matrix_bra_ket_form(
                perturb_cop, plus_ops_configs, neutral_ops_configs, cocc, vocc)

            # h, N-1 configs
            himp_mat_minus = opbasis_ni.oimp_matrix_form(
                himp, minus_ops_configs, cocc, vocc)
            himp_ext_mat_minus = opbasis_ni.himp_ext_matrix_form(
                hcs_imp, hds_ext, hds_imp, hcs_ext, minus_ops_configs, cocc,
                vocc)
            hext_mat_minus = opbasis_ni.hext_matrix_form(
                hext, minus_ops_configs, cocc, vocc, e0)
            hmat_minus = himp_mat_minus + himp_ext_mat_minus + hext_mat_minus
            unit_mat_minus = opbasis_ni.oimp_matrix_form(
                models.Unit(), minus_ops_configs, cocc, vocc)

            # h, N+1 configs
            himp_mat_plus = opbasis_ni.oimp_matrix_form(
                himp, plus_ops_configs, cocc, vocc)
            himp_ext_mat_plus = opbasis_ni.himp_ext_matrix_form(
                hcs_imp, hds_ext, hds_imp, hcs_ext, plus_ops_configs, cocc,
                vocc)
            hext_mat_plus = opbasis_ni.hext_matrix_form(
                hext, plus_ops_configs, cocc, vocc, e0)
            hmat_plus = himp_mat_plus + himp_ext_mat_plus + hext_mat_plus
            unit_mat_plus = opbasis_ni.oimp_matrix_form(
                models.Unit(), plus_ops_configs, cocc, vocc)

            # h, neutral configs
            himp_mat = opbasis_ni.oimp_matrix_form(himp, neutral_ops_configs,
                                                   cocc, vocc)
            himp_ext_mat = opbasis_ni.himp_ext_matrix_form(
                hcs_imp, hds_ext, hds_imp, hcs_ext, neutral_ops_configs, cocc,
                vocc)
            hext_mat = opbasis_ni.hext_matrix_form(hext, neutral_ops_configs,
                                                   cocc, vocc, e0)
            hmat = himp_mat + himp_ext_mat + hext_mat
            unit_mat = opbasis_ni.oimp_matrix_form(models.Unit(),
                                                   neutral_ops_configs, cocc,
                                                   vocc)

            # get neutral ground-state energy
            es, cs = la.peigh(hmat, unit_mat)
            e0 = es[0]
            psi0 = cs[:, 0]

            print e0
            print psi0
            # all matrices setup, solve linear response (complex)
            psi1_minus = la.solve_perturb(omega + 1j * delta,
                                          unit_mat_minus,
                                          hmat_minus,
                                          e0,
                                          psi0,
                                          perturb_dop_mat,
                                          project=False,
                                          sign_ham=-1.)

            gfminus = N.dot(psi1_minus, N.dot(perturb_dop_mat, psi0))

            psi1_plus = la.solve_perturb(omega + 1j * delta,
                                         unit_mat_plus,
                                         hmat_plus,
                                         e0,
                                         psi0,
                                         perturb_cop_mat,
                                         project=False)

            gfplus = N.dot(psi1_plus, N.dot(perturb_cop_mat, psi0))

            d_gf, c_gf = _sp_gf(hlat, omega + 1j * delta, perturb, nocc)

            print omega, gfplus.imag, c_gf.imag, gfminus.imag, d_gf.imag
            print >> fd, omega - mu, gfplus.imag + gfminus.imag, c_gf.imag + d_gf.imag
Beispiel #3
0
def ph_greens():
    # main loop for general density-density (ph) response functions
    utils.dtype=N.complex128
    nimp=2

    nimp_sp=2*nimp
    nocc=12
    nsites=24
    nsites_sp=nsites*2
    ndim=2
    sz=0
    # sites numbered in order as imp+bath ... ext
    sites_imp=range(0,2*nimp_sp)
    sites_ext=range(2*nimp_sp,nsites_sp)
    ncore=2*nocc-2*nimp
    cocc=range(2*nimp_sp,2*nimp_sp+ncore)
    vocc=range(2*nimp_sp+ncore,nsites_sp)

    N.set_printoptions(precision=3)

    t=-1. # hopping
    delta=0.01 # broadening

#    for u in [0.0,4.0,10.0]:
    for u in [4.0]:

        # Single impurity Anderson model
        mu=0.
        hlat,hall,hlat_sp,hall_sp,e0=models_embed.si_anderson_imp_ext_ni_h(t,nocc,nimp,nsites)
        hop,himp,hcs_imp,hds_imp,hcs_ext,hds_ext,hext=models_embed.si_anderson_imp_ext_h(hall_sp,u,nocc,nimp,nsites)

#        single site Hubbard in DMET basis
#        mu=u/2
#        hlat,hall,hlat_sp,hall_sp,e0=models_embed.hubbard_imp_ext_ni_h(t,u,nocc,nimp,nsites)
#        hop,himp,hcs_imp,hds_imp,hcs_ext,hds_ext,hext=models_embed.hubbard_imp_ext_h(hall_sp,u,nocc,nimp,nsites)

        # g.s embedding basis
        pemb,pcore,pvirt=embed.embed(hlat,nimp,nocc)

        # perturbation operator
        perturb=utils.zeros([nsites,nsites])
        perturb[0,0]=1.

        p_coeffs={}
        p_coeffs[0,0]=1.
        p_coeffs[1,1]=1.
        perturbop=models.ContractedCD(p_coeffs)

        fd=file("ph_siam.out."+str(u),"w")
        for omega in N.arange(2.0,8.0,0.1):
    
            ops_dict=response_embed.mb_ph_ops(hlat,perturb,omega+1j*delta,nimp,nocc,pemb,pcore,pvirt)
            configs_dict=response_embed.mb_configs(nsites,nimp,nimp_sp,2*nocc-nimp_sp,0)
            neutral_ops_configs=response_embed.mb_ph_ops_configs(ops_dict,configs_dict)

            # basis is setup, now build matrix representations
            perturb_mat=opbasis_ni.oimp_matrix_form(perturbop,neutral_ops_configs,cocc,vocc)

            # h, neutral configs
            himp_mat=opbasis_ni.oimp_matrix_form(himp,neutral_ops_configs,cocc,vocc)
            himp_ext_mat=opbasis_ni.himp_ext_matrix_form(hcs_imp,hds_ext,hds_imp,hcs_ext,neutral_ops_configs,cocc,vocc)
            hext_mat=opbasis_ni.hext_matrix_form(hext,neutral_ops_configs,cocc,vocc,e0)
            
            hmat=himp_mat+himp_ext_mat+hext_mat

            unit_mat=opbasis_ni.oimp_matrix_form(models.Unit(),neutral_ops_configs,cocc,vocc)

            # get neutral ground-state energy
#            print 'overlap: '
#            for i,w in enumerate(unit_mat):
#                for j,v in enumerate(w):
#                    if abs(unit_mat[i,j]) > 1.e-12:
#                        print i+1,j+1,unit_mat[i,j]
            #hmat[4:,:] = 0.
            #hmat[:,4:] = 0.
            #print 'hamil: '
            #for i,w in enumerate(hmat):
            #    for j,v in enumerate(w):
            #        if abs(hmat[i,j]) > 1.e-12:
            #            print i+1,j+1,hmat[i,j]
#
            es,cs=la.peigh(hmat,unit_mat,thresh=1.e-10)
            e0=es[0]
            psi0=cs[:,0]
            #print 'psi0:' 
            #print psi0
            #print 'energy: ',e0
            # all matrices setup, solve linear response (complex)
            psi1=la.solve_perturb(omega-1j*delta,unit_mat,hmat,e0,psi0,perturb_mat,project=True)

            ph_gf=N.dot(N.conj(psi1),N.dot(perturb_mat,psi0))

            ph_gf0=_second_order_energy(hlat,nocc,perturb,omega+1j*delta)

            #print omega, ph_gf.imag,ph_gf0.imag
            print omega, ph_gf,2*ph_gf0,e0
            print >>fd, omega-mu, -ph_gf.imag,-2*ph_gf0.imag
Beispiel #4
0
def main():
    # main loop for single-particle GF
    utils.dtype = N.complex128

    nimp = 4
    nimp_sp = 2 * nimp
    nsites = 8
    nocc = nsites / 2
    nsites_sp = nsites * 2
    ndim = 2
    sz = 0
    # sites numbered in order as imp+bath ... ext
    sites_imp = range(0, 2 * nimp_sp)
    sites_ext = range(2 * nimp_sp, nsites_sp)
    ncore = 2 * nocc - 2 * nimp
    cocc = range(2 * nimp_sp, 2 * nimp_sp + ncore)
    vocc = range(2 * nimp_sp + ncore, nsites_sp)

    N.set_printoptions(precision=3)

    #t=1. # hopping
    gamma = 0.005
    rho0 = (nsites - 2) / 2.
    t = 0.1  #N.sqrt(gamma/(rho0*N.pi))
    #gamma = (t**2)*pi*0.1
    delta = 0.005  # broadening
    #a=12.5
    #    for u in [0.0,4.0,10.0]:
    for u in [0., 2.5, 5., 7.5]:
        u *= t
        # Single impurity Anderson model
        mu = 0.
        hlat, hall, hlat_sp, hall_sp, e0 = models_embed.si_anderson_imp_ext_ni_h(
            t, u, nocc, nimp, nsites)
        hop, himp, hcs_imp, hds_imp, hcs_ext, hds_ext, hext = models_embed.si_anderson_imp_ext_h(
            hall_sp, u, nocc, nimp, nsites)
        #print hext
        #        single site Hubbard in DMET basis
        #mu=u/2
        #hlat,hall,hlat_sp,hall_sp,e0=models_embed.hubbard_imp_ext_ni_h(t,u,nocc,nimp,nsites)
        #hop,himp,hcs_imp,hds_imp,hcs_ext,hds_ext,hext=models_embed.hubbard_imp_ext_h(hall_sp,u,nocc,nimp,nsites)

        # g.s embedding basis
        pemb, pcore, pvirt = embed.embed(hlat, nimp, nocc)

        # perturbation operator
        perturb = utils.zeros([nsites])
        perturb[0] = 1.
        p_coeffs = N.array([1])
        perturb_dop = models.ContractedD(N.array([0]), p_coeffs)
        perturb_cop = models.ContractedC(N.array([0]), p_coeffs)

        fd = file(
            "siam_emb_dos_nsites" + str(nsites) + '_U' + str(u) + '_nimp' +
            str(nimp) + '_eta' + str(delta), "w")

        for omega in N.arange(-1., 1., 0.01):

            ops_dict = response_embed.mb_sp_ops(hlat, perturb,
                                                omega + 1j * delta, nimp, nocc,
                                                pemb, pcore, pvirt)

            configs_dict = response_embed.mb_configs(nsites, nimp, nimp_sp,
                                                     2 * nocc - nimp_sp, 0)

            neutral_ops_configs, plus_ops_configs, minus_ops_configs = response_embed.mb_sp_ops_configs(
                ops_dict, configs_dict)

            #print minus_ops_configs
            # basis is setup, now build matrix representations
            perturb_dop_mat = opbasis_ni.oimp_matrix_bra_ket_form(
                perturb_dop, minus_ops_configs, neutral_ops_configs, cocc,
                vocc)
            perturb_cop_mat = opbasis_ni.oimp_matrix_bra_ket_form(
                perturb_cop, plus_ops_configs, neutral_ops_configs, cocc, vocc)
            #print plus_ops_configs
            # h, N-1 configs

            #print minus_ops_configs
            himp_mat_minus = opbasis_ni.oimp_matrix_form(
                himp, minus_ops_configs, cocc, vocc)
            himp_ext_mat_minus = opbasis_ni.himp_ext_matrix_form(
                hcs_imp, hds_ext, hds_imp, hcs_ext, minus_ops_configs, cocc,
                vocc)
            #print himp_ext_mat_minus
            hext_mat_minus = opbasis_ni.hext_matrix_form(
                hext, minus_ops_configs, cocc, vocc, e0)
            hmat_minus = himp_mat_minus + himp_ext_mat_minus + hext_mat_minus
            unit_mat_minus = opbasis_ni.oimp_matrix_form(
                models.Unit(), minus_ops_configs, cocc, vocc)
            #print hext_mat_minus

            # h, N+1 configs
            himp_mat_plus = opbasis_ni.oimp_matrix_form(
                himp, plus_ops_configs, cocc, vocc)
            himp_ext_mat_plus = opbasis_ni.himp_ext_matrix_form(
                hcs_imp, hds_ext, hds_imp, hcs_ext, plus_ops_configs, cocc,
                vocc)
            hext_mat_plus = opbasis_ni.hext_matrix_form(
                hext, plus_ops_configs, cocc, vocc, e0)
            hmat_plus = himp_mat_plus + himp_ext_mat_plus + hext_mat_plus
            unit_mat_plus = opbasis_ni.oimp_matrix_form(
                models.Unit(), plus_ops_configs, cocc, vocc)

            # h, neutral configs
            himp_mat = opbasis_ni.oimp_matrix_form(himp, neutral_ops_configs,
                                                   cocc, vocc)
            himp_ext_mat = opbasis_ni.himp_ext_matrix_form(
                hcs_imp, hds_ext, hds_imp, hcs_ext, neutral_ops_configs, cocc,
                vocc)
            hext_mat = opbasis_ni.hext_matrix_form(hext, neutral_ops_configs,
                                                   cocc, vocc, e0)
            hmat = himp_mat + himp_ext_mat + hext_mat
            unit_mat = opbasis_ni.oimp_matrix_form(models.Unit(),
                                                   neutral_ops_configs, cocc,
                                                   vocc)

            # get neutral ground-state energy
            es, cs = la.peigh(hmat, unit_mat)
            e_gs = es[0]
            psi0 = cs[:, 0]

            #print e0
            #print psi0
            #print N.dot(perturb_dop_mat,psi0)
            # all matrices setup, solve linear response (complex)

            psi1_minus = la.solve_perturb(omega + 1j * delta,
                                          unit_mat_minus,
                                          hmat_minus,
                                          e_gs,
                                          psi0,
                                          perturb_dop_mat,
                                          project=False,
                                          sign_ham=-1.)

            gfminus = N.dot(psi1_minus, N.dot(perturb_dop_mat, psi0))

            psi1_plus = la.solve_perturb(omega + 1j * delta,
                                         unit_mat_plus,
                                         hmat_plus,
                                         e_gs,
                                         psi0,
                                         perturb_cop_mat,
                                         project=False)

            #print N.dot(perturb_cop_mat,psi0)

            #print hmat

            gfplus = N.dot(psi1_plus, N.dot(perturb_cop_mat, psi0))

            d_gf, c_gf = _sp_gf(hlat, omega + 1j * delta, perturb, nocc)

            #print omega, gfplus.imag,c_gf.imag, gfminus.imag,d_gf.imag
            #print >>fd, omega-mu, -1.*(gfplus.imag),-1.*(c_gf.imag+d_gf.imag)
            print >> fd, omega - mu, -(1 / N.pi) * (gfplus.imag + gfminus.imag)
Beispiel #5
0
def sp_greens():
    # main loop for single-particle GF
    utils.dtype=N.complex128

    nimp=1
    nimp_sp=2*nimp
    nocc=20
    nsites=40
    nsites_sp=nsites*2
    ndim=2
    sz=0
    # sites numbered in order as imp+bath ... ext
    sites_imp=range(0,2*nimp_sp)
    sites_ext=range(2*nimp_sp,nsites_sp)
    ncore=2*nocc-2*nimp
    cocc=range(2*nimp_sp,2*nimp_sp+ncore)
    vocc=range(2*nimp_sp+ncore,nsites_sp)

    N.set_printoptions(precision=3)

    t=-1. # hopping
    delta=0.2 # broadening

#    for u in [0.0,4.0,10.0]:
    for u in [1.0]:

        # Single impurity Anderson model
        mu=0.
        hlat,hall,hlat_sp,hall_sp,e0=models_embed.si_anderson_imp_ext_ni_h(t,nocc,nimp,nsites)
        hop,himp,hcs_imp,hds_imp,hcs_ext,hds_ext,hext=models_embed.si_anderson_imp_ext_h(hall_sp,u,nocc,nimp,nsites)

#        single site Hubbard in DMET basis
#        mu=u/2
#        hlat,hall,hlat_sp,hall_sp,e0=models_embed.hubbard_imp_ext_ni_h(t,u,nocc,nimp,nsites)
#        hop,himp,hcs_imp,hds_imp,hcs_ext,hds_ext,hext=models_embed.hubbard_imp_ext_h(hall_sp,u,nocc,nimp,nsites)

        # g.s embedding basis
        pemb,pcore,pvirt=embed.embed(hlat,nimp,nocc)

        # perturbation operator
        perturb=utils.zeros([nsites])
        perturb[0]=1.
        p_coeffs=N.array([1])
        perturb_dop=models.ContractedD(N.array([0]),p_coeffs)
        perturb_cop=models.ContractedC(N.array([0]),p_coeffs)

        fd=file("ph_siam.out."+str(u),"w")
        for omega in N.arange(-2,2,0.1):
    
            ops_dict=response_embed.mb_sp_ops(hlat,perturb,omega+1j*delta,nimp,nocc,pemb,pcore,pvirt)
            configs_dict=response_embed.mb_configs(nsites,nimp,nimp_sp,2*nocc-nimp_sp,0)
            neutral_ops_configs,plus_ops_configs,minus_ops_configs=response_embed.mb_sp_ops_configs(ops_dict,configs_dict)

            # basis is setup, now build matrix representations
            perturb_dop_mat=opbasis_ni.oimp_matrix_bra_ket_form(perturb_dop,minus_ops_configs,neutral_ops_configs,cocc,vocc)
            perturb_cop_mat=opbasis_ni.oimp_matrix_bra_ket_form(perturb_cop,plus_ops_configs,neutral_ops_configs,cocc,vocc)

            # h, N-1 configs
            himp_mat_minus=opbasis_ni.oimp_matrix_form(himp,minus_ops_configs,cocc,vocc)
            himp_ext_mat_minus=opbasis_ni.himp_ext_matrix_form(hcs_imp,hds_ext,hds_imp,hcs_ext,minus_ops_configs,cocc,vocc)
            hext_mat_minus=opbasis_ni.hext_matrix_form(hext,minus_ops_configs,cocc,vocc,e0)
            hmat_minus=himp_mat_minus+himp_ext_mat_minus+hext_mat_minus
            unit_mat_minus=opbasis_ni.oimp_matrix_form(models.Unit(),minus_ops_configs,cocc,vocc)

            # h, N+1 configs
            himp_mat_plus=opbasis_ni.oimp_matrix_form(himp,plus_ops_configs,cocc,vocc)
            himp_ext_mat_plus=opbasis_ni.himp_ext_matrix_form(hcs_imp,hds_ext,hds_imp,hcs_ext,plus_ops_configs,cocc,vocc)
            hext_mat_plus=opbasis_ni.hext_matrix_form(hext,plus_ops_configs,cocc,vocc,e0)
            hmat_plus=himp_mat_plus+himp_ext_mat_plus+hext_mat_plus
            unit_mat_plus=opbasis_ni.oimp_matrix_form(models.Unit(),plus_ops_configs,cocc,vocc)

            # h, neutral configs
            himp_mat=opbasis_ni.oimp_matrix_form(himp,neutral_ops_configs,cocc,vocc)
            himp_ext_mat=opbasis_ni.himp_ext_matrix_form(hcs_imp,hds_ext,hds_imp,hcs_ext,neutral_ops_configs,cocc,vocc)
            hext_mat=opbasis_ni.hext_matrix_form(hext,neutral_ops_configs,cocc,vocc,e0)
            hmat=himp_mat+himp_ext_mat+hext_mat
            unit_mat=opbasis_ni.oimp_matrix_form(models.Unit(),neutral_ops_configs,cocc,vocc)

            # get neutral ground-state energy
            es,cs=la.peigh(hmat,unit_mat)
            e0=es[0]
            psi0=cs[:,0]

            print e0
            print psi0
            # all matrices setup, solve linear response (complex)
            psi1_minus=la.solve_perturb(omega+1j*delta,unit_mat_minus,hmat_minus,e0,psi0,perturb_dop_mat,
                                        project=False,sign_ham=-1.)

            gfminus=N.dot(psi1_minus,N.dot(perturb_dop_mat,psi0))

            psi1_plus=la.solve_perturb(omega+1j*delta,unit_mat_plus,hmat_plus,e0,psi0,perturb_cop_mat,project=False)
        
            gfplus=N.dot(psi1_plus,N.dot(perturb_cop_mat,psi0))

            d_gf,c_gf=_sp_gf(hlat,omega+1j*delta,perturb,nocc)

            print omega, gfplus.imag,c_gf.imag, gfminus.imag,d_gf.imag
            print >>fd, omega-mu, gfplus.imag+gfminus.imag,c_gf.imag+d_gf.imag