if time_fs == t2:
for i in range(tot_grid):
bra_ex[i, :] = np.dot(dipol[:, :], bra_gs[i, :])
bra_gs[i, :] = complex(0.0, 0.0)
# 3- compute the WF after interaction with laser at time t=t3.
if time_fs == t3:
for i in range(tot_grid):
ket_ex[i, :] = np.dot(dipol[:, :], ket_gs[i, :])
ket_gs[i, :] = complex(0.0, 0.0)
# 4- compute the response function.
if (time_fs >= t3) and (step == out):
for i in range(tot_grid):
temp[i, :] = np.dot(dipol[:, :], ket_ex[i, :])
correlation = response(temp[:, 1], bra_gs[:, 1])
GB_file.write(
str(t2) + " " + str(time_fs) + " " +
str(np.real(correlation)) + " " +
str(np.imag(correlation)) + " " + str(abs(correlation)) +
"\n")
# Compute the bra and ket at time t during the propagation.
bra_gs, bra_ex = pg.EOF(dt, bra_gs, bra_ex, tot_grid, freq, w_eg,
reorg_erg, d, g, n_fock, freq_cavity)
ket_gs, ket_ex = pg.EOF(dt, ket_gs, ket_ex, tot_grid, freq, w_eg,
reorg_erg, d, g, n_fock, freq_cavity)
GB_file.close()
ket_ex=np.zeros((tot_grid),dtype=complex)
temp=np.zeros((tot_grid),dtype=complex)
#------------------------------------------------
#------------------------------------------------
# Run the propagation.
l_file=open("response.txt", "w+")
for step in range(t_step):
time_fs=dt_fs*step
out=int(step/output)*output
if step==0:
ket_ex[:]=coef[:,0].astype(complex)
bra_gs[:]=coef[:,0].astype(complex)
if step==out:
for i in range(tot_grid):
temp[i]=1.0*ket_ex[i]+0.0*ket_gs[i]
correlation=response(temp[:],bra_gs[:])
l_file.write(str(time_fs)+" "+str(np.real(correlation))+ " "+str(np.imag(correlation))+" "+ str(abs(correlation))+ "\n")
# Compute the bra and ket at time t during the propagation.
bra_gs,bra_ex=pg.EOF(dt,bra_gs,bra_ex,tot_grid,freq,w_eg,reorg_erg,d)
ket_gs,ket_ex=pg.EOF(dt,ket_gs,ket_ex,tot_grid,freq,w_eg,reorg_erg,d)
l_file.close()
