ax.set_color_cycle([cm.jet(k) for k in linspace(0,1,N_DET)])
pilier = OmR()#0.304)
pilier.set_params(m=25.e-9,
f_mech=4.e6,
q=2e6,
lambda_nm = 1064.,
losses=15.e-6,
transmission_input=30e-6,
transmission_output=1.e-6,
length=150e-6,
i_incident=1000e-6,
temp=1.,
delta_hz=10,
detection_losses=0.0)
pilier.freq = linspace(3.99e6,4.01e6, 1000)
"""
DETS = linspace(0,200e3, N_DET)
extent = [-90, 90, min(pilier.freq), max(pilier.freq)]
for index, delta_hz in enumerate(DETS):
subplot(N_DET,1,index+1)
pilier.delta_hz = delta_hz
img = array([10*log10(abs(pilier.left.output.spectrum_sym(phi))) for phi in linspace(-pi/2,pi/2)])
img = img.T
imshow(img, aspect='auto',origin='lower', extent=extent)
cb = colorbar()
contour(img, levels=[0.], linewidths=3, colors='w', extent=extent)
ylabel('$\Delta/2 \pi$')
cb.set_label('Noise (dB)')
#plot(pilier.freq, len(pilier.freq)*[1.], ':k')
lambda_nm = 1064.,
losses=1.e-6,
transmission_input=30e-6,
transmission_output=10.e-6,
length=0.00764,
i_incident=1e-3,
temp=3.8e-4,
delta_hz=1.,
detection_losses=0.304)
o.gamma_m_hz = 2560.
tau = 1./(2*pi*1.7e6)
o.tau_input = tau/0.4
o.tau_output = tau/0.6
o.n_photons = 1.1e8
o.freq = linspace(1.5e6, 1.56e6, 1000)
#o.right.output._get_losses = lambda:
if True:
figname = 'PRX Regal fig1'
close(figname)
figure(figname, figsize=(15,10))
dets = (3e3, 6e3, 13e3, 20e3)
for index, delta_hz in enumerate(dets):
subplot(len(dets),2,2*index+1)
o.delta_hz = delta_hz
o.n_photons = 1.1e8
o = OmR()
o.set_params(m=6.75e-12,
f_mech=1e6,
q=1000.,
lambda_nm = 1064.,
losses=1.e-6,
transmission_input=300e-6,
length=0.00764,
i_incident=1e-3,
delta_hz=1.)
tau = 1./(2*pi*1.7e6)
o.tau_in = tau/0.4
o.tau_ex = tau/0.6
o.n_th = 0
o.freq = linspace(0.99e6, 1.01e6, 400)
o.delta_hz = 0
figure('SB asymmetry on resonance', figsize=(10,13))
subplot(211)
o.n_th = 0
o.cooperativity = 0.1
title('Cooperativity = 0.1, n_th = 0')
plot(o.freq, o.right.output.spectrum_ss('upper'), '-r', label='Upper sideband')
plot(o.freq, o.right.output.spectrum_ss('lower'), '-b', label='Lower sideband')
xlabel('Frequency (Hz)')
lambda_nm = 1064.,
losses=1.e-6,
transmission_input=30e-6,
transmission_output=10.e-6,
length=0.00764,
i_incident=1e-3,
temp=3.8e-4,
delta_hz=1.,
detection_losses=0.304)
cav.gamma_m_hz = 2560.
tau = 1./(2*pi*1.7e6)
cav.tau_input = tau/0.4
cav.tau_output = tau/0.6
cav.n_photons = 1.1e8
cav.freq = linspace(1.5e6, 1.56e6, 1000)
figure('mean_fields_omr', figsize=(12.9, 10.9))
last=None
for index, ((input_trans, out_trans, loss), title_) in enumerate((((1e-6,5e-6, 0), 'undercoupled'),
((5e-6, 5e-6,0), 'critically coupled'),
((5e-6, 0.5e-6,0), 'over coupled'),
((1e-6, 1e-6, 5e-6), 'loss dominated'))):
last = subplot(2, 2 ,index + 1, sharex=last)
cav.transmission_input = input_trans
cav.transmission_output = out_trans
cav.losses = loss
title(title_)
reflected = []
transmitted = []
deltas = linspace(-25*cav.bandwidth_hz, 25*cav.bandwidth_hz, 300)
for delta_hz in deltas:
if current_dir=='':
current_dir = '.'
### Arcizet 2006
arcizet = OmR()
arcizet.set_params(m=190e-9,
f_mech=814e3,
q=1.e4,
lambda_nm = 1064.,
losses=1.e-6,
transmission_input=2*pi/3e4,
transmission_output=1e-6,
length=0.0024,
i_incident=2e-4,
temp=300,
delta_hz=1.)
arcizet.freq=linspace(813.e3, 816.e3, 1000)
kappa_hz = arcizet.kappa_hz
name = "Arcizet2006"
figure(name)
for power in array((1.4,2.5,4.5,6.5,9.5)):
shifts = []
cooling = []
phis = linspace(-4,4,100)
arcizet.delta_hz = 0
arcizet.i_intra = power
for index, ph in enumerate(phis): #(0.03, 0.06, 0.09, 0.11, 0.13)):#
arcizet.delta_hz = ph*kappa_hz/2
y = arcizet.right.output.spectrum_sym(pi/2)#dummy_spec()
c = curve.Curve()
