def get_vna_trace(self):
vna=self.vna
vna.do_enable_averaging()
vna.set_averaging_trigger(False)
time.sleep(self.sweepTime*self.vnaavg*1.1)
## Data acquisition
self.vnafreqs = vna.do_get_xaxis()
data_re, data_im = vna.do_get_yaxes()
data = data_re+1j*data_im
if self.fitdata:
try:
self.fitparams = af.fit_complex_a_out(self.vnafreqs, data, f_0=self.f_0_guess, kc=self.kc_guess, ki=self.ki_guess, a_in=self.a_in_guess, T=self.T_guess)
if self.plotsweep: self.fitparamsVec.append(self.fitparams)
except SyntaxError:
self.fitparams = []
return data
def get_vna_trace(self):
vna = self.vna
vna.do_enable_averaging()
vna.set_averaging_trigger(False)
time.sleep(self.sweepTime * self.vnaavg * 1.1)
## Data acquisition
self.vnafreqs = vna.do_get_xaxis()
data_re, data_im = vna.do_get_yaxes()
data = data_re + 1j * data_im
if self.fitdata:
try:
self.fitparams = af.fit_complex_a_out(self.vnafreqs,
data,
f_0=self.f_0_guess,
kc=self.kc_guess,
ki=self.ki_guess,
a_in=self.a_in_guess,
T=self.T_guess)
if self.plotsweep: self.fitparamsVec.append(self.fitparams)
except SyntaxError:
self.fitparams = []
return data
#
data_complex = data_re + 1j * data_im
#
freqs_fit = np.zeros(genpoints)
kc_fit = np.zeros(genpoints)
ki_fit = np.zeros(genpoints)
f_0_guess = 13052250602
kc_guess = 18736539
ki_guess = 5465667
for n in range(genpoints):
data_n = data_complex[n]
popt = af.fit_complex_a_out(vna_freqs,
data_n,
f_0=None,
kc=kc_guess,
ki=ki_guess)
freqs_fit[n] = popt[0]
kc_fit[n] = popt[1]
ki_fit[n] = popt[2]
if debug_fits:
data_n_fit = af.complex_a_out(vna_freqs, *popt)
fig, ax = plt.subplots(2, 2)
ax[0, 0].plot(vna_freqs, np.abs(data_n_fit))
ax[0, 0].plot(vna_freqs, np.abs(data_n))
ax[1, 0].plot(vna_freqs, np.angle(data_n_fit))
ax[1, 0].plot(vna_freqs, np.angle(data_n))
ax[1, 1].plot(np.real(data_n_fit), np.imag(data_n_fit))
ax[1, 1].plot(np.real(data_n_fit), np.imag(data_n))
data_im = data_im.reshape(genpoints,VNApts)
#
#
data_complex = data_re + 1j*data_im
#
freqs_fit = np.zeros(genpoints)
kc_fit = np.zeros(genpoints)
ki_fit = np.zeros(genpoints)
f_0_guess = 13052250602
kc_guess = 18736539
ki_guess = 5465667
for n in range(genpoints):
data_n = data_complex[n]
popt = af.fit_complex_a_out(vna_freqs, data_n, f_0=None, kc=kc_guess, ki=ki_guess)
freqs_fit[n]=popt[0]
kc_fit[n]=popt[1]
ki_fit[n]=popt[2]
if debug_fits:
data_n_fit = af.complex_a_out(vna_freqs, *popt)
fig, ax = plt.subplots(2,2)
ax[0,0].plot(vna_freqs, np.abs(data_n_fit))
ax[0,0].plot(vna_freqs, np.abs(data_n))
ax[1,0].plot(vna_freqs, np.angle(data_n_fit))
ax[1,0].plot(vna_freqs, np.angle(data_n))
ax[1,1].plot(np.real(data_n_fit),np.imag(data_n_fit))
ax[1,1].plot(np.real(data_n_fit),np.imag(data_n))
fig, ax =plt.subplots(3,1)
ax[0].plot(genfreqs*1e-9, freqs_fit*1e-9)
