Python optical_rabi_resonant_fit_hannes Examples

Example #1

File: analyze_opt_rabi_vs_CR_LT1.py Project: zaguros/analysis

all_tau = np.zeros((0, 14))
all_tau_err = np.zeros((0, 14))

for path in paths:

    files = [f for f in os.listdir(path) if f[:1] != '.' and f[-4:] == '.txt']

    tau_list = []
    tau_err_list = []
    fR_list = []
    fR_err_list = []
    CR = []

    for i in files:
        print i
        fR, fR_err, tau, tau_err = tail_cts_per_shot_v4.optical_rabi_resonant_fit_hannes(
            os.path.join(path, i), 34, 61, use_channel=0, binsize=0.128)
        tau_list.append(tau)
        tau_err_list.append(tau_err)
        fR_list.append(fR * 1e3)
        fR_err_list.append(fR_err * 1e3)
        CR.append(float(i[:2]))

    fig = plt.figure()
    plt.errorbar(CR, tau_list, yerr=tau_err_list, fmt='ro')
    plt.xlabel('CR threshold')
    plt.ylabel('Decay time [ns]')
    plt.title(path)
    fig.savefig(os.path.join(path, 'CRvsTau.png'))

    fig2 = plt.figure()
    plt.errorbar(CR, fR_list, yerr=fR_err_list, fmt='ro')

Example #2

        r'1609H_0806_lp.txt',
        r'1608H_1814_lp.txt',
        #r'1617H_1814_lp.txt',
        r'1617H_3023_lp.txt'
        ]
CR_lp = [1,2,4,8,18,30]
tau_lp=[]
tau_lp_err=[]
fR_lp=[]
fR_lp_err=[]


for i in files_hp_long:
    print i
    file_name = os.path.join(data_folder,i)
    fR, fR_err, tau, tau_err = tail_cts_per_shot_v4.optical_rabi_resonant_fit_hannes(file_name,
            5,33, use_channel=1, binsize=0.128, rebins = 4)
    tau_long_hp.append(tau)
    tau_long_hp_err.append(tau_err)
    fR_long_hp.append(fR)
    fR_long_hp_err.append(fR_err)

#plt.close('all')

fig=plt.figure()
plt.errorbar(CR_hp_long,tau_long_hp,yerr=tau_long_hp_err,fmt='ro')
plt.xlabel('CR threshold')
plt.ylabel('Decay time [ns]')
plt.title('decay time vs CR threshold high power (ca. 200 MHz rabi f)')

for f in files_lp:
    print f

Example #3

File: analyze_opt_rabi_vs_CR_LT1.py Project: machielblok/analysis

all_tau = np.zeros((0,14))
all_tau_err = np.zeros((0,14))

for path in paths:

    files = [ f for f in os.listdir(path) if f[:1] != '.' and f[-4:] == '.txt' ]

    tau_list=[]
    tau_err_list=[]
    fR_list=[]
    fR_err_list=[]
    CR=[]

    for i in files:
        print i
        fR, fR_err, tau, tau_err = tail_cts_per_shot_v4.optical_rabi_resonant_fit_hannes(
                os.path.join(path,i),34,61, use_channel=0, binsize=0.128)
        tau_list.append(tau)
        tau_err_list.append(tau_err)
        fR_list.append(fR*1e3)
        fR_err_list.append(fR_err*1e3)
        CR.append(float(i[:2]))


    fig=plt.figure()
    plt.errorbar(CR,tau_list,yerr=tau_err_list,fmt='ro')
    plt.xlabel('CR threshold')
    plt.ylabel('Decay time [ns]')
    plt.title(path)
    fig.savefig(os.path.join(path,'CRvsTau.png'))