# from scipy.io import loadmat, savemat, whosmat #to save and load .mat (matlab) from lmfit import minimize, Parameters, report_fit # , Parameter import matplotlib.pyplot as plt import Gnuplot as gp plt.ion() # load hdf5 data # filename = 'S1_203.hdf5' filename = 'S1_945_S11_4p1_BPF7.hdf5' # filename = 'S1_945_S11_4p8_BPF7.hdf5' measdata = get_hdf5data(filename) flux0 = 2.07e-15 # Tm^2; Flux quanta: flux0 = h / (2*charging energy) squid = dim(name='Squid', start=-1.5, stop=0.5, pt=201, scale=flux0) elem = handler(name='mag/phase', start=0, stop=10, pt=1) squid.flux0 = 2.07e-15 # Tm^2; flux0=h/(2*charging energy) elem.Z0 = 50 # R; Input impedance elem.Z1 = 50 # R; Impedance of transmission piece 1 elem.Z2 = 50 # R; Impedance of Coplanar Waveguide elem.Z3 = 50 elem.L1 = 0.44 elem.L2 = 0.04 elem.L3 = 0.01 elem.Z4 = 0.1 # Ohm; Wire bonds conductance to GND (-45dB isolation) # m/s; approx. velocity in a coaxial 2/3 * speed of light elem.v = 2.0e8 squid.Wb = 1000e-12 # Aprox: Lw (nH) = 5.08x10-3 * L * (ln(4*L/D) - 1) squid.LOOP = 1e-30
from parsers import load_hdf5, dim
from parsers import savemtx, make_header
# import matplotlib.pyplot as plt
# from changeaxis import interp_y
# from scipy.constants import Boltzmann as Kb
# from scipy.constants import h , e, pi
# filein = "S1_511_shot_100mV_4924_5217MHz"
filein = "S1_514_S11_4924_5217MHz"
folder = "hdf5s//09//Data_0915//"
d = load_hdf5(folder+filein+'.hdf5')
n = 3
d.n2 = [dim(name=d.stepInst[n],
start=sPar[3],
stop=sPar[4],
pt=sPar[8],
scale=1)
for sPar in d.stepItems[n]]
def get_MP(d, chnum):
compx = 1j*d.data[:, chnum+1, :]
compx += d.data[:, chnum, :]
phase = np.unwrap(zip(*np.angle(compx)))
return np.abs(compx), zip(*phase)
MAT1 = np.zeros([10, d.shape[0], d.shape[1]])
MAT1[0] = d.data[:, 4, :]
MAT1[1] = d.data[:, 5, :]
i = 1.0j
flux0 = 2.07e-15 # Tm^2; Flux quanta: flux0 = h / (2*charging energy)
Z0 = 50.0 # R; Input impedance
Z1 = 30.0 # R; Impedance of transmission piece 1
Z2 = 50.0 # R; Impedance of Coplanar Waveguide
l1 = 0.44 # m;
l2 = 900.0e-6 # m; adjust length with epsilonr for saphire
v = 2.0e8 # m/s; approx. velocity in a coaxial 2/3 * speed of light
Ic = 1.7e-6 # A; Ic ~ 0.85uA measured, 2.5 uA max
R = 2.3e3 # Ohm
Cap = 450e-15 # 450.0e-15 # F
Y4 = 1/0.1 # 1/Ohm; Wire bonds conductance to GND (-45dB isolation)
magnet = dim(name = 'Flux (Phi0)',
start = -1,
stop = 1,
pt = 1001,
scale = flux0)
freq = dim(name = 'Frequency (GHz)',
start = 4,
stop = 8,
pt = 101,
scale = 1e9)
dim_3 = handler(name = 'mag/phase',
start = 0,
stop = 10,
pt = 11) #8 pts for S 4x2 values
dim_3._Z0 = 50
head1 = make_header(magnet, freq, dim_3, 'S11 S12 S21 S22 Z L')
dim_3.prepare_data_save(magnet, freq, dim_3)
# from scipy.io import loadmat, savemat, whosmat #to save and load .mat (matlab) from lmfit import minimize, Parameters, report_fit # , Parameter import matplotlib.pyplot as plt import PyGnuplot as gp plt.ion() # load hdf5 data # filename = 'S1_203.hdf5' filename = 'S1_945_S11_4p1_BPF7.hdf5' # filename = 'S1_945_S11_4p8_BPF7.hdf5' measdata = get_hdf5data(filename) flux0 = 2.07e-15 # Tm^2; Flux quanta: flux0 = h / (2*charging energy) squid = dim(name='Squid', start=-1.5, stop=0.5, pt=201, scale=flux0) elem = handler(name='mag/phase', start=0, stop=10, pt=1) squid.flux0 = 2.07e-15 # Tm^2; flux0=h/(2*charging energy) elem.Z0 = 50 # R; Input impedance elem.Z1 = 50 # R; Impedance of transmission piece 1 elem.Z2 = 50 # R; Impedance of Coplanar Waveguide elem.Z3 = 50 elem.L1 = 0.44 elem.L2 = 0.04 elem.L3 = 0.01 elem.Z4 = 0.1 # Ohm; Wire bonds conductance to GND (-45dB isolation) # m/s; approx. velocity in a coaxial 2/3 * speed of light elem.v = 2.0e8 squid.Wb = 1000e-12 # Aprox: Lw (nH) = 5.08x10-3 * L * (ln(4*L/D) - 1) squid.LOOP = 1e-30
# from scipy.constants import h , e, pi
filein = "S1_511_shot_100mV_4924_5217MHz"
folder = "hdf5s//09//Data_0915//"
d = load_hdf5(folder + filein + ".hdf5")
# # meas specific to change mag field to flux
# # simply comment this paragraph out
# xoff = 140.5e-3 # 139.3e-3
# x1flux = 479.6e-3
# d.n2.lin = (d.n2.lin-xoff)/x1flux + 0.5
# d.n2.start = d.n2.lin[0]
# d.n2.stop = d.n2.lin[-1]
# d.n2.name = 'Flux/Flux0'
d.n2 = [dim(name=d.stepInst[0], start=sPar[3], stop=sPar[4], pt=sPar[8], scale=1) for sPar in d.stepItems[0]]
def search(chanList, searchString):
for i, k in enumerate(chanList):
if searchString in k:
return i, k
return None
def get_MP(d, chnum):
compx = 1j * d.data[:, chnum + 1, :]
compx += d.data[:, chnum, :]
return np.abs(compx), np.angle(compx)
