def timedomain(args):
"""
Input:
mnames, det13, det23, gausstau, gausstheta, gausssigma, trep, npulse, upperlife, doplot
pulsed laser: laser1
CW laser: laser2
"""
mnames, v0, det13, det23, omega23, gausstau, gausstheta, gausssigma, trep, npulse, upperlife, doplot = args
# mnames, split12, det13, tau, reptime, maxpow, npulse, upperlife, doplot = args
for name in mnames:
globals()[name] = ll_mat_from_mtx(name)
# bloch_atomic, laser1_pow, laser1_det, laser2_pow, laser2_det, laser12_det = matrices
# detunings
d13real = det13
d23real = det23
d12real = d13real - d23real
# Between pulses: CW laser is on
pulseoff = bloch_atomic.copy()
pulseoff.shift(omega23, laser2_pow)
pulseoff.shift(d13real, laser1_det)
pulseoff.shift(d23real, laser2_det)
pulseoff.shift(d12real, laser12_det)
pulseofftime = trep - gausstau
# During pulse - base before adding pulsed power
# with .shift(omega13(t), laser1_pow)
pulsebase = pulseoff.copy()
pulsestep = linspace(0, gausstau, 51)[0:-1]
pulsedt = pulsestep[1] - pulsestep[0]
pulsestep = (pulsestep + pulsedt / 2) - gausstau / 2
results = zeros((9, npulse+1))
vt = v0
for k in xrange(0, 9):
results[k, 0] = vt[k]
for i in xrange(npulse):
# pulse on
v3in = vt[2]
for pt in pulsestep:
omega13 = gausspulse(pt, gausstheta, gausssigma)
pulseon = pulsebase.copy()
pulseon.shift(omega13, laser1_pow)
vt, e, hump = spexpv(pulsedt, pulseon, vt)
vt = matrix(vt).T
v3diff = vt[2] - v3in
# pulse off
vt, e, hump = spexpv(pulseofftime, pulseoff, vt)
vt = matrix(vt).T
for k in range(0, 9):
results[k, i+1] = vt[k]
return results
def pulsescalc(args):
"""
Calculate time evolution with pulses
"""
# mnames, split12, det13, tau, reptime, maxpow, npulse, upperlife, doplot = args
mnames, v0, laser_det, delta, pulsefunc, pulseshape, pulsearea, pulsetotaltime, pulsepoints, trep, npulse = args
for name in mnames:
globals()[name] = ll_mat_from_mtx(name)
# bloch_atomic, laser_pow = matrices
print "Reptime: %f, detuning: %f" %(trep, delta)
# Between pulses: CW laser is off
pulseoff = bloch_atomic.copy()
pulseoff.shift(1, laser_det(delta))
pulseofftime = trep - pulsetotaltime
# During pulse - base before adding pulsed power
pulsebase = pulseoff.copy()
pulsestep = linspace(0, pulsetotaltime, pulsepoints)[0:-1]
pulsedt = pulsestep[1] - pulsestep[0]
pulsestep = (pulsestep + pulsedt / 2) - pulsetotaltime / 2
pulseblochs = []
omegas = []
for pt in pulsestep:
omega = pulsefunc(pt, pulsearea, pulseshape)
pulseon = pulsebase.copy()
pulseon.shift(omega, laser_pow)
pulseblochs += [pulseon]
omegas += [omega]
nelems = len(v0)
results = zeros((nelems, npulse+1))
vt = v0
for k in xrange(0, nelems):
results[k, 0] = vt[k]
for i in xrange(npulse):
# pulse on
# v3in = vt[2]
# for p in xrange(len(pulsestep)):
for nextstep in pulseblochs:
vt, e, hump = spexpv(pulsedt, nextstep, vt)
vt = matrix(vt).T
# pulse off
vt, e, hump = spexpv(pulseofftime, pulseoff, vt)
vt = matrix(vt).T
for k in xrange(0, nelems):
results[k, i+1] = vt[k]
return results
def timedomain(args):
"""
Input:
mnames, t, v0, det13, det23, omega13, omega23
"""
mnames, t, v0, det13, det23, omega13, omega23 = args
for name in mnames:
globals()[name] = ll_mat_from_mtx(name)
# detunings
d13real = det13
d23real = det23
d12real = d13real - d23real
# Between pulses: CW laser is on
bloch = bloch_atomic.copy()
bloch.shift(omega13, laser1_pow)
bloch.shift(omega23, laser2_pow)
bloch.shift(d13real, laser1_det)
bloch.shift(d23real, laser2_det)
bloch.shift(d12real, laser12_det)
results = zeros((9, len(t)))
vt = v0
for i in xrange(len(t)):
vt, e, hump = spexpv(t[i], bloch, v0)
vt = matrix(vt).T
for k in range(0, 9):
results[k, i] = vt[k]
return results
def timedomain(args):
# mnames, split12, det13, tau, reptime, maxpow, npulse, upperlife, doplot = args
mnames, v, t, omega, laser_det, delta = args
for name in mnames:
globals()[name] = ll_mat_from_mtx(name)
# bloch_atomic, laser_pow = matrices
# v = matrix(zeros((36, 1)))
# v[1] = 1
laseron = bloch_atomic.copy()
laseron.shift(omega, laser_pow)
laseron.shift(1, laser_det(delta))
# print laseron
# print laseron
t = np.linspace(0, t, 1001)
results = zeros((len(v), len(t)))
vt = v
for k in xrange(0, 36):
results[k, 0] = vt[k]
for i in xrange(1, len(t)):
vt, e, hump = spexpv(t[i]-t[i-1], laseron, vt)
vt = matrix(vt).T
for k in range(0, 36):
results[k, i] = vt[k]
return results
# [0, 0, 0, 0, 0, 0, d12, om23/2, om13/2],
# [0, 0, 0, 0, -Gtot/2, 0, om23/2, d13, 0],
# [0, 0, 0, 0, 0, -Gtot/2, -om13/2, 0, d23],
# [0, 0, 0, -d12, -om23/2, om13/2, -Gtot/2, 0, 0],
# [-om13/2, 0, om13/2, -om23/2, -d13, 0, 0, -Gtot/2, 0],
# [0, -om23/2, om23/2, -om13/2, 0, -d23, 0, 0, -Gtot/2]])
nt = 151
t = linspace(0, 20, nt)
p = array(zeros((nt, 9)))
p2 = array(zeros((nt, 9)))
v = matrix(zeros((9, 1)))
v[start] = 1
# print v
for i in xrange(nt):
vt, e, hump = spexpv(t[i], out, v)
p[i, 0:9] = vt[0:9]
# p[i, 0:3] = vt[3:6]
# v2 = dot(expm(obm*t[i]), v)
# p2[i, 0:9] = v2[0:9].T
# p = p2
for i in xrange(3):
pl.plot(t, p[:, i], '-', label="(%d)"%(i+1))
# for i in xrange(3):
# pl.plot(t, p2[:, i], 'x', label="X(%d)"%(i+1))
data = loadtxt('../matlab/compare.csv', delimiter=',')
for i in xrange(3):
pl.plot(t, data[:, i], 'o', label="M(%d)"%(i+1))
pl.legend(loc='best')
pl.title('Populations')
