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spin.cpp
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spin.cpp
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#include <iostream>
#include <fstream>
#include <complex>
#include <boost/numeric/ublas/matrix.hpp>
#include <boost/numeric/ublas/matrix_sparse.hpp>
#include <boost/numeric/ublas/io.hpp>
#include <boost/numeric/ublas/operation_blocked.hpp>
#include <stdlib.h>
#include "sparse_io.hpp"
#include <getopt.h>
#include <assert.h>
#include <time.h>
// for getpid();
#include <sys/types.h>
#include <unistd.h>
#include <math.h>
// Eigen libs
#include <Eigen/Core>
#include <Eigen/Sparse>
#ifdef VISUALIZE
#include "visualize.h"
#define viz(a, b) visualize((a), (b))
#else
#define viz(a,b)
#endif
namespace ub = boost::numeric::ublas;
using namespace std;
#include "math-utils.h"
typedef int idx_t;
const int Nx = 100;
const int Ny = Nx;
const int Spin_idx = Nx * Ny;
const int N_leads = 4;
// width of leads in units of lattice sites
const int lead_sites = Nx;
/* Numbering scheme for the sites
*
* Nx
* +----------------+
* / \
* X X X ... X X -
* X X X ... X X \
* . . . . . |
* . . . . . | Ny
* . . . . . |
* X X X ... X X /
* X X X ... X X -
*
* Numbering scheme:
* 0 1 ... (Nx-1)
* Nx Nx+1 ... (2*Nx -1)
*
* The same is repeated once more for spin-down electrons,
* with index-offset Nx*Ny.
*
* IDX(x, y, spin) returns an index into the site matrices
* (where `x' and `y' are zero based, and `spin' is either 0 or 1
*
* X_IDX(i) returns the x index for site index i
* Y_IDX(i) returns the y index for site index i
* S_IDX(i) returns the spin index for site index i
*/
#define IDX(x, y, s) ((x) + Nx * (y) + (s) * Spin_idx)
#define X_IDX(i) (((i) % Spin_idx) % Nx)
#define Y_IDX(i) (((i) % Spin_idx) / Nx)
#define S_IDX(i) ((int) (i) / (Spin_idx))
int lead_offset[N_leads];
const num epsilon = 1e-5;
// constants
const num pi = 3.14159265358979323846264;
const num h_bar = 6.582122E-16; // [eV*s]
const num h_planck = 4.135669E-15; // [eV*s]
const num electron_mass
= 9.109389E-31; // [kg]
const num mass = 0.381 * electron_mass;
const num e_charge = 1.60217653E-19; // [C = A*s]
const num bohr_magneton
= 9.27400915E-24; // [A * m^2]
// parameters
const num width_sample
= 200.0; // [nm]
const num g_factor = 20.0;
num global_gauge = 1.0;
num stripe_angle = pi / 4;
num scale = 0.0;
const num a_sample = width_sample / (num) (Nx + 1);
const int size = Nx * Ny * 2; // total number of indices
const num V = 1.0; // hopping term
// e_tot is our choice of energy zero-level in the leads.
// Adjust Fermi energy here (or with "-e" command line option).
num e_tot = 2.0;
const num width_disorder = 0.0;
num alpha = 0.02; // / a_sample / 2.0;
ostream *out = &cout;
bool quiet = false;
// boring accounting
void log_tick(const char* desc) {
if (quiet) {
return;
}
static time_t prev = time(NULL);
time_t t = time(NULL);
// printf("[Tick] %06ld %s\n", t-prev, desc);
prev = t;
}
// spin-orbit coupling strength depending on position in the sample
num rashba_for_site(idx_t x, idx_t y) {
// Interface at angle stripe_angle
float r = tan(stripe_angle);
// int x_offset = (Nx - lead_sites) / 5;
int x_offset = 0.0;
if (((float) y / (float) (x - x_offset)) > r) {
return scale * alpha;
} else {
return alpha;
}
/*
// stripe with angle `stripe_angle' against the x axis and height h.
// Inside the strip
// the spin-orbit coupling is `alpha', outside it's
// `alpha * scale'.
num h = ((num) Nx) / 5.0 / cos(stripe_angle);
num scale = 0.0;
num y1 = tanl(stripe_angle) * (num) x;
if (abs(y1 - y) <= h/2) {
return alpha;
} else {
return scale * alpha;
}
*/
}
num flux_from_field(const num B) {
return 2.0 * pi * B
* (a_sample * a_sample) * 1e-18 // a_sample is in nm
/ h_planck;
}
cnum b_factor(const num flux, const int n) {
return exp(cnum(0.0, -1) * flux * (num) n);
}
void correct_phase(esm &m, const num flux) {
if (flux == num(0))
return;
// cout << "correcting a phase...\n";
for (int k = 0; k < m.outerSize(); ++k) {
for (esm::InnerIterator it(m,k); it; ++it) {
int x1 = X_IDX(it.row());
int y1 = Y_IDX(it.row());
assert(it.row() == IDX(x1, y1, S_IDX(it.row())));
int x2 = X_IDX(it.col());
int y2 = Y_IDX(it.col());
assert(it.col() == IDX(x2, y2, S_IDX(it.col())));
cnum phi = b_factor(flux, x2 * y2 - x1 * y1);
it.value() *= phi;
}
}
}
inline num rashba(const num alpha) {
return 2.0 * alpha * a_sample;
}
inline num mode_energy(const int n, const int nle) {
return 2.0 * V * (cos(pi * (num) (n+1) / ((num) nle + 1.0)) - 1.0);
}
cnum findk(const num Emod, const num energy) {
return sqrt(
cnum(2 * mass / (h_bar * h_bar)
* (energy - Emod) * 10.0 / 1.60219, 0)
);
}
esm* hamiltonian(const num rashb, const num B) {
esm *H = new esm(size, size);
ers Hnn( *H );
// division by e_charge to convert from electron volt to Joule
num zeeman = 0.5 * g_factor * bohr_magneton * B / e_charge;
// num zeeman = 0.0;
num flux = flux_from_field(B);
num gauge = global_gauge;
num xflux = gauge * flux;
num yflux = (1.0 - gauge) * flux;
// diagonal elements
for (int i = 0; i < size / 2; i++) {
// later we might want to add random disorder,
// in which case these items might be different per
// iteration, but every two diagonal items with distance
// (size/2) must still have the same value
cnum energy = 4.0 * V + e_tot;
Hnn(i, i) = energy - zeeman;
Hnn(i + size/2, i + size/2) = energy + zeeman;
}
// interaction in x direction
for (int x = 0; x < Nx - 1; x++) {
for (int y = 0; y < Ny; y++) {
cnum h = -V * conj(b_factor(xflux, y));
// kinetic energy
Hnn(IDX(x, y, 0), IDX(x+1, y, 0)) = h;
Hnn(IDX(x+1, y, 0), IDX(x, y, 0)) = conj(h);
Hnn(IDX(x, y, 1), IDX(x+1, y, 1)) = h;
Hnn(IDX(x+1, y, 1), IDX(x, y, 1)) = conj(h);
// Rashba terms
// "1 and 102"
// with spin flip
cnum r = rashba_for_site(x, y);
if (r == (num) 0)
break;
cnum b = b_factor(xflux, y);
// cout << "x" << x << " " << y << endl;
Hnn(IDX(x, y, 0), IDX(x+1, y, 1)) = -r * conj(b);
Hnn(IDX(x+1, y, 1), IDX(x, y, 0)) = -r * b;
// "101 and 2"
Hnn(IDX(x+1, y, 0), IDX(x, y, 1)) = r * b;
Hnn(IDX(x, y, 1), IDX(x+1, y, 0)) = r * conj(b);
}
}
// interaction in y direction
for (int x = 0; x < Nx; x++){
for (int y = 1; y < Ny; y++) {
cnum b = b_factor(yflux, x);
cnum h = -V * b;
Hnn(IDX(x, y-1, 0), IDX(x, y , 0)) = h;
Hnn(IDX(x, y , 0), IDX(x, y-1, 0)) = conj(h);
Hnn(IDX(x, y-1, 1), IDX(x, y , 1)) = h;
Hnn(IDX(x, y, 1), IDX(x, y-1, 1)) = conj(h);
cnum r = rashba(rashba_for_site(x, y));
if (r == (num) 0)
break;
// cout << "y" << x << " " << y-1 << endl;
// Rashba terms
// "11 and 101"
h = cnum(0, 1) * b * r;
Hnn(IDX(x, y, 0), IDX(x, y-1 , 1)) = conj(h);
Hnn(IDX(x, y-1, 1), IDX(x, y , 0)) = h;
// "1 and 111"
Hnn(IDX(x, y-1, 0), IDX(x, y, 1)) = h;
Hnn(IDX(x, y, 1), IDX(x, y-1, 0)) = conj(h);
}
}
log_tick("hamiltonian");
return H;
};
cnum theta_from_energy(num e_f, num e_mode) {
num x = (e_f - e_mode) / (2 * V) + 1.0;
if (x > 1.0) {
// evanescent mode, calculate cosh^-1
return cnum(0, 1) * log((cnum) (x + sqrt(x*x - 1.0)));
} else if (x < -1.0) {
return cnum(0, 1) * log((cnum) (x - sqrt(x*x - 1.0)));
} else {
return acos(x);
}
}
esm** self_energy(const num flux, const num gauge) {
// analytical green's function in the leads
// gl = G_{l+1, l+1}n
Eigen::MatrixXcf gl(lead_sites, lead_sites);
gl.setZero();
// Calcualte analytical Green's function in the leads
// and store it in matrix gl
for (int r = 0; r < lead_sites; r++) {
cnum theta = theta_from_energy(e_tot, mode_energy(r, lead_sites));
cnum unit = cnum(1.0, 0.0);
num f = (num) (lead_sites + 1);
cnum tmpp = exp(cnum(0, 1) * (num) (2.0 * pi
* (((num) ((r+1) * lead_sites )) / f)));
cnum tmpm = exp(cnum(0, -1) *(num) (2.0 * pi
* ((num) (r+1) / f)));
// "AnorN1(mm)" in nano0903c.f
num y = 1.0 / sqrt(0.5 * lead_sites +
real((unit - tmpp) / (unit-tmpm) * cnum(0.5, 0.0)));
for (int p = 0; p < lead_sites; p++) {
// "psiN1(ii)" in nano0903c.f
cnum y1 = y * sin(pi * (num) ((p+1) * (r+1))/(1.0 + lead_sites));
for (int q = 0; q < lead_sites; q++) {
// "psiN1(jj)" in nano0903c.f
cnum y2 = y * sin(pi * (num) ((q+1) * (r+1))/(1.0 + lead_sites));
gl(p, q) += exp(cnum(0.0,1.0) * theta)/V * y1 * y2;
}
}
}
esm** e = new esm*[N_leads];
ers** s = new ers*[N_leads];
for (int i = 0; i < N_leads; i++) {
e[i] = new esm(size, size);
s[i] = new ers( *e[i] );
}
for (int i = 0; i < lead_sites; i++){
for (int j = 0; j < lead_sites; j++){
cnum g = gl(i, j);
/* left */
(*s[0])(IDX(0, i+lead_offset[0], 0),
IDX(0, j+lead_offset[0], 0)) = g;
(*s[1])(IDX(0, i+lead_offset[1], 1),
IDX(0, j+lead_offset[1], 1)) = g;
/* right */
(*s[2])(IDX(Nx-1, i+lead_offset[2], 0),
IDX(Nx-1, j+lead_offset[2], 0)) = g;
(*s[3])(IDX(Nx-1, i+lead_offset[3], 1),
IDX(Nx-1, j+lead_offset[3], 1)) = g;
// if you want to activate additional leads, you need to uncomment
// some of the lines below here, and set N_leads at the start of
// the file to a higher value
// /* top */
// (*s[4])(IDX(i+lead_offset[4], 0, 0),
// IDX(j+lead_offset[4], 0, 0)) = g;
// (*s[5])(IDX(i+lead_offset[5], 0, 1),
// IDX(j+lead_offset[5], 0, 1)) = g;
//
// /* bottom */
// (*s[6])(IDX(i+lead_offset[6], Ny-1, 0),
// IDX(j+lead_offset[6], Ny-1, 0)) = g;
// (*s[7])(IDX(i+lead_offset[7], Ny-1, 1),
// IDX(j+lead_offset[7], Ny-1, 1)) = g;
}
}
for (int i = 0; i < N_leads; i++) {
delete s[i];
/*
switch(i) {
case 0:
case 1:
case 2:
case 3:
correct_phase(*e[i], -(1.0 - gauge) * flux);
break;
case 4:
case 5:
case 6:
case 7:
// cout << "gauge scaling factor: " << flux << endl;
correct_phase(*e[i], gauge * flux);
break;
}
*/
}
delete[] s;
log_tick("self-energy");
return e;
}
ub::matrix<num>* transmission(esm *H, const num flux, const num gauge) {
esm **sigma_r = self_energy(flux, gauge);
viz(*sigma_r[0], "lead_0.png");
viz(*sigma_r[1], "lead_1.png");
viz(*sigma_r[2], "lead_2.png");
viz(*sigma_r[3], "lead_3.png");
/* viz(*sigma_r[4], "lead_4.png");
viz(*sigma_r[5], "lead_5.png");
viz(*sigma_r[6], "lead_6.png");
viz(*sigma_r[7], "lead_7.png");
*/
for (int k = 0; k < N_leads; k++){
*H -= *sigma_r[k];
}
viz(*H, "self_energy.png");
esm e_green_inv(size, size);
log_tick("hamiltonian + self-energy");
// the second parameter is the ordering method that the solver uses
// internally. Doesn't change results, only execution time
eslu *slu = new eslu(*H, Eigen::MinimumDegree_ATA);
delete H;
H = NULL;
log_tick("LU decomposition");
ub::matrix<num> *tpq = new ub::matrix<num>(N_leads, N_leads);
tpq->clear();
esm **gamma_g_adv = new esm*[N_leads];
esm **gamma_g_ret = new esm*[N_leads];
// T_{p, q} = Trace( \Gamma_p * G^R * \Gamma_q * G^A )
// where G^A = (G^R)^\dagger
//
//
// \Gamma = -2 * Im(\Sigma_r)
// (calculate slices of \Gamma (aka gamm_i) on the fly
// to save memory
// first carry out the two products
// \Gamma_p * G^R and \Gamma_q * G^A
for (int i = 0; i < N_leads; i++) {
// cout << "working on lead " << i << endl;
esm *g_adv = new esm(size, size);
esm *g_ret = new esm(size, size);
assert(V * V == 1);
// go from Sigma to Gamma, but still store in sigma_r[i] to safe space
*sigma_r[i] = (-2) * sigma_r[i]->imag();
esm m1(size, size);
esm result(size, size);
// since *sigma_r[i] is a real matrix by now (although declared
// complex) we can use transpose() instead of adjoint();
pseudo_sparse_solve(slu, sigma_r[i]->transpose(), result, true);
*g_ret = result.adjoint();
pseudo_sparse_solve(slu, *sigma_r[i], result, false);
esm t1(size, size);
delete sigma_r[i];
sigma_r[i] = NULL;
*g_adv = result.adjoint();
gamma_g_adv[i] = g_adv;
gamma_g_ret[i] = g_ret;
}
log_tick("solving");
delete slu;
slu = NULL;
delete[] sigma_r;
sigma_r = NULL;
// Now calculate the trace
cnum null = cnum(0, 0);
for (int i = 0; i < N_leads; i++){
for (int j = 0; j < N_leads; j++){
(*tpq)(i, j) = r_prod_trace(*gamma_g_ret[i], *gamma_g_adv[j]);
}
}
log_tick("trace");
for (int i = 0; i < N_leads; i++){
for (int n = 0; n < size; n++){
cnum x = gamma_g_ret[i]->coeff(n, n);
cnum y = gamma_g_adv[i]->coeff(n, n);
(*tpq)(i, i) += real(cnum(0, 1) * y - cnum(0, 1) * x);
}
delete gamma_g_adv[i];
delete gamma_g_ret[i];
}
delete[] gamma_g_adv;
delete[] gamma_g_ret;
// correction for diagonal elements
for (int i = 0; i < lead_sites; i++){
if (mode_energy(i, lead_sites) < e_tot) {
for (int j = 0; j < N_leads; j++){
(*tpq)(j, j) += 1.0;
}
}
}
log_tick("tpq corrections");
return tpq;
}
int main (int argc, char** argv) {
num Bz = 0;
// parse command line options
int opt;
ofstream *fout = new ofstream();
int n;
while ((opt = getopt(argc, argv, "qr:s:b:e:o:p:n:")) != -1) {
switch (opt) {
case 'r':
alpha = atof(optarg);
break;
case 's':
scale = atof(optarg);
break;
case 'b':
Bz = atof(optarg);
break;
case 'e':
e_tot = atof(optarg);
break;
case 'n':
n = atoi(optarg);
nice(n);
break;
case 'o':
fout->open(optarg);
if (!*fout) {
cerr << "Error: file '" << optarg << "' could not be opened\n";
exit(1);
}
out = fout;
case 'p':
stripe_angle = atof(optarg) / 180 * pi;
break;
case 'q':
quiet = true;
break;
default:
cerr << "Error while processing command line args\n";
exit(1);
}
}
e_tot *= -1;
log_tick("start");
// place the leads relative to corners of the sample
for (int i = 0; i < 4; i++) {
lead_offset[i] = 0;
}
for (int i = 5; i < N_leads; i++) {
lead_offset[i] = (Nx - lead_sites) / 2;
}
// write parameters
*out << "PID: " << getpid() << endl;
*out << "Size: " << Nx << "x" << Ny << endl;
*out << "lead width: " << lead_sites << endl;
*out << "# leads: " << N_leads << endl;
*out << "Bz: " << Bz << endl;
*out << "E_tot: " << e_tot << endl;
*out << "Angle: " << stripe_angle << endl;
*out << "t_SO: " << alpha << endl;
#ifdef VISUALIZE
esm ra(Nx, Ny);
{
ers s(ra);
for (int x = 0; x < Nx ;x++){
for (int y = 0; y < Ny; y++) {
num r = rashba_for_site(x, y);
if (r != 0.0)
s(x, y) = cnum(r, 0.0);
}
}
}
viz(ra, "rashba.png");
#endif
esm *H = hamiltonian(alpha, Bz);
// cout << *H << endl;
viz(*H, "hamiltonian.png");
#ifndef NDEBUG
{
esm Hcheck(size, size);
// cout << H->rows() << " " << H->cols() << "\n";
esm m3 = esm(H->adjoint());
Hcheck = *H - esm(m3);
num x = Hcheck.cwise().abs().sum();
if (x > 0.01) {
cerr << "ERROR: Hamiltonian is not hermitian (epsilon = "
<< x << ")\n";
exit(1);
}
}
#endif
// check sum rules
num flux = flux_from_field(Bz);
ub::matrix<num> *tpq = transmission(H, flux, global_gauge);
*out << "final tpq" << *tpq << endl;
boost::numeric::ublas::vector<num> r;
boost::numeric::ublas::vector<num> c;
bool is_first = true;
num ref = 0.0;
num min = 1e100;
for (int i = 0; i < N_leads; i++) {
num r_sum = 0.0;
num c_sum = 0.0;
r = row(*tpq, i);
c = column(*tpq, i);
for (int j = 0; j < N_leads; j++) {
if (c(j) < min) {
min = c(j);
}
r_sum += r(j);
c_sum += c(j);
}
if (is_first) {
ref = r_sum;
*out << "Number of modes: " << ref << endl;
num error = abs((r_sum - (int) (r_sum+0.5))/int (r_sum + 0.5));
*out << "Error: " << error << endl;
is_first = false;
}
if (abs(r_sum - ref) > epsilon) {
*out << "ERROR: sum rule violated for row " << i
<< " (" << r_sum << ")" << endl;
}
if (abs(c_sum - ref) > epsilon) {
*out << "ERROR: sum rule violated for column " << i
<< " (" << c_sum << ")" << endl;
}
}
num min_diagonal = 1e100;
for (int i = 0; i < N_leads; i++) {
if ((*tpq)(i, i) < min_diagonal) {
min_diagonal = (*tpq)(i, i);
}
}
ref -= (int) min_diagonal;
*out << "Number of propagating modes: " << ref << endl;
if (min < -epsilon) {
*out << "ERROR: found a negative transmission coefficient\n";
}
log_tick("Done");
delete fout;
delete tpq;
return 0;
}
// vim: ft=cpp sw=4 ts=4 expandtab