Example #1
0
    repeat_reps  = 3000

    ###########
    ## Start ##
    ###########
    
    #create the data lists
    d_steps = []; f0 = []; u_f0 = []; delta_f0 =[];iterations_list =[]
  
     #turn on magnet stepping in Z
    # mom.set_mode('Z_axis', 'gnd')

    # start: define B-field and position by first ESR measurement
    darkesr('magnet_Zpos_optimize_coarse', range_MHz=init_range, pts=init_pts, reps=init_reps)
    # do the fitting, returns in MHz, input in GHz
    f0_temp, u_f0_temp = dark_esr_auto_analysis.analyze_dark_esr(current_f_msp1*1e-9, qt.exp_params['samples'][SAMPLE]['N_HF_frq']*1e-9)
    delta_f0_temp = f0_temp*1e6-current_f_msp1*1e-3

    # start to list all the measured values
    iterations = 0
    f0.append(f0_temp)
    u_f0.append(u_f0_temp)
    delta_f0.append(delta_f0_temp)

    print 'Measured frequency = ' + str(f0_temp) + ' GHz +/- ' + str(u_f0_temp*1e6) + ' kHz'
    print 'Difference = ' + str(delta_f0_temp) + ' kHz'
    
    while abs(delta_f0_temp) > opimization_target:
        d_steps.append(int(round(mt.steps_to_frequency(freq=f0_temp*1e9,freq_id=current_f_msp1, ms = 'plus'))))
        print 'move magnet in Z with '+ str(d_steps[iterations]) + ' steps'
Example #2
0
def fit_B_msmt_loop(older_than = None, newer_than = None):
    ZFS = 2.877480e9
    f0m = []; u_f0m = []; f0p = [] ;u_f0p = []
    Bx_field_measured = []
    Bz_field_measured = []
    f_centre_list = []; f_diff_list=[]
    timestamp_list = []
    f_centre_error_list= []
    it_list = []
    f_diff_error_list = []
    
    #msm
    print 'start'
    older_than_SSRO = older_than
    # print older_than, newer_than
    iteration = 0
    while toolbox.latest_data(contains='msmt_msm_', older_than=older_than, newer_than=newer_than,raise_exc = False)!=False:
        print 'iteration'+str(iteration)
        timestamp,folder = toolbox.latest_data(contains='msmt_msm_', older_than=older_than, newer_than=newer_than,return_timestamp = True)
        print 'm folder '+folder
        ## Data location ##

        ssro_calib_folder = toolbox.latest_data(contains='AdwinSSRO_SSROCalibration', older_than=older_than_SSRO)

        a = sequence.SequenceAnalysis(folder)
        a.get_sweep_pts()
        a.get_readout_results('ssro')
        a.get_electron_ROC(ssro_calib_folder=ssro_calib_folder)

        f0m_temp,u_f0m_temp = dark_esr_auto_analysis.analyze_dark_esr(None, 2.196*1e-3, add_folder = folder )
       
        #msp
        folder = toolbox.latest_data(contains='msmt_msp_', older_than=older_than, newer_than=newer_than,)
        print folder
        a = sequence.SequenceAnalysis(folder)
        a.get_sweep_pts()
        a.get_readout_results('ssro')
        a.get_electron_ROC(ssro_calib_folder=ssro_calib_folder)

        f0p_temp,u_f0p_temp = dark_esr_auto_analysis.analyze_dark_esr(None, 2.196*1e-3, add_folder = folder )
        print f0p_temp >0 and f0m_temp >0
        if f0p_temp >0 and f0m_temp >0:
            Bz_measured, Bx_measured = amt.get_B_field(msm1_freq=f0m_temp*1e9, msp1_freq=f0p_temp*1e9, u_msm1_freq =u_f0m_temp ,u_msp1_freq=u_f0p_temp)
            f_centre = (f0m_temp+f0p_temp)/2
            f_centre_error = np.sqrt(u_f0m_temp**2+u_f0p_temp**2)/2
            f_diff = (f_centre-ZFS*1e-9)*1e6
            f_diff_error = f_centre_error*1e6
            f0m.append(f0m_temp)
            u_f0m.append(u_f0m_temp)
            f0p.append(f0p_temp)
            u_f0p.append(u_f0p_temp)
            f_centre_list.append(f_centre)
            f_centre_error_list.append(f_centre_error)
            f_diff_list.append(f_diff)
            f_diff_error_list.append(f_diff_error)
            Bx_field_measured.append(Bx_measured)
            Bz_field_measured.append(Bz_measured)
            timestamp_list.append(timestamp)
            it_list.append(iteration)

        older_than = str(int(timestamp)-1)

        iteration = iteration+1
        print iteration

    
    it_list = linspace(0,len(it_list)-1,len(it_list))
    outfile = TemporaryFile()
    
    np.savez('test_B_field_meas',f0m=f0m,
            u_f0m=u_f0m,
            f0p=f0p,
            u_f0p=u_f0p,
            f_centre_list=f_centre_list,
            f_centre_error_list=f_centre_error_list,
            f_diff_list=f_diff_list,
            f_diff_error_list=f_diff_error_list,
            Bx_field_measured=Bx_field_measured,
            Bz_field_measured=Bz_field_measured,
            timestamp_list=timestamp_list,
            it_list=it_list)
    f0 = []
    u_f0 = []
    delta_f0 = []
    #turn on magnet stepping in Z
    mom.set_mode('Z_axis', 'stp')

    # start: define B-field and position by first ESR measurement
    DESR_msmt.darkesr('magnet_Zpos_optimize_fine',
                      ms='msp',
                      range_MHz=DESR_range,
                      pts=pts,
                      reps=reps)
    # do the fitting, returns in MHz, input in GHz
    f0_temp, u_f0_temp = dark_esr_auto_analysis.analyze_dark_esr(
        current_f_msp1 * 1e-9,
        qt.exp_params['samples'][SAMPLE]['N_HF_frq'] * 1e-9,
        do_save=True,
        min_dip_depth=min_dip_depth)
    delta_f0_temp = f0_temp * 1e6 - current_f_msp1 * 1e-3

    # start to list all the measured values
    iterations = 0
    f0.append(f0_temp)
    u_f0.append(u_f0_temp)
    delta_f0.append(delta_f0_temp)

    print 'Measured frequency = ' + str(f0_temp) + ' GHz +/- ' + str(
        u_f0_temp * 1e6) + ' kHz'
    print 'Difference = ' + str(delta_f0_temp) + ' kHz'

    while abs(delta_f0_temp) > opimization_target:
Example #4
0
def fit_B_msmt_loop(older_than=None, newer_than=None):
    ZFS = 2.877623e9
    f0mc = []
    u_f0mc = []
    f0pc = []
    u_f0pc = []
    f0mf = []
    u_f0mf = []
    f0pf = []
    u_f0pf = []
    Bx_field_measured = []
    Bz_field_measured = []
    f_centrec_list = []
    f_centre_errorc_list = []
    f_diffc_list = []
    f_diffc_error_list = []
    f_centref_list = []
    f_centre_errorf_list = []
    f_difff_list = []
    f_difff_error_list = []
    timestamp_list = []
    it_list = []
    f0p_temp = 1.746666
    f0m_temp = 4.008589

    #msm
    print 'start'
    older_than_SSRO = older_than
    # print older_than, newer_than
    iteration = 0
    print 'iteration' + str(iteration)

    # if type == 'course':
    #     contains_name_m = 'magnet_msm1_coarse'
    #     contains_name_p = 'magnet_msp1_coarse'
    # else:
    #     contains_name_m = 'magnet_msm1_fine'
    #     contains_name_p = 'magnet_msp1_fine'

    while toolbox.latest_data(contains='magnet_Y_axismsm1_coarse',
                              older_than=older_than,
                              newer_than=newer_than,
                              raise_exc=False) != False:
        print 'iteration' + str(iteration)

        ## Data location ##

        ssro_calib_folder = toolbox.latest_data(
            contains='AdwinSSRO_SSROCalibration', older_than=older_than_SSRO)

        #msm1 coarse
        timestamp1, folder = toolbox.latest_data(
            contains='magnet_Y_axismsm1_coarse',
            older_than=older_than,
            newer_than=newer_than,
            return_timestamp=True)
        print 'm folder ' + folder
        a = sequence.SequenceAnalysis(folder)
        a.get_sweep_pts()
        a.get_readout_results('ssro')
        a.get_electron_ROC(ssro_calib_folder=ssro_calib_folder)

        f0mc_temp, u_f0mc_temp = dark_esr_auto_analysis.analyze_dark_esr(
            f0m_temp,
            2.182e-3,
            do_save=False,
            sweep_direction='right',
            add_folder=folder,
            ssro_calib_folder=ssro_calib_folder)
        print f0mc_temp, u_f0mc_temp
        #msm1 fine
        timestamp, folder = toolbox.latest_data(contains='magnet_Y_axismsm1',
                                                older_than=timestamp1,
                                                newer_than=newer_than,
                                                return_timestamp=True)
        print 'm folder ' + folder
        a = sequence.SequenceAnalysis(folder)
        a.get_sweep_pts()
        a.get_readout_results('ssro')
        a.get_electron_ROC(ssro_calib_folder=ssro_calib_folder)

        f0mf_temp, u_f0mf_temp = dark_esr_auto_analysis.analyze_dark_esr_single(
            add_folder=folder)
        print f0mf_temp, u_f0mf_temp

        #msp
        #msp1 coarse
        timestamp2, folder = toolbox.latest_data(
            contains='magnet_Y_axismsp1_coarse',
            older_than=older_than,
            newer_than=newer_than,
            return_timestamp=True)
        print 'p folder ' + folder
        a = sequence.SequenceAnalysis(folder)
        a.get_sweep_pts()
        a.get_readout_results('ssro')
        a.get_electron_ROC(ssro_calib_folder=ssro_calib_folder)

        f0pc_temp, u_f0pc_temp = dark_esr_auto_analysis.analyze_dark_esr(
            f0p_temp,
            2.182e-3,
            do_save=False,
            sweep_direction='left',
            add_folder=folder,
            ssro_calib_folder=ssro_calib_folder)
        print f0pc_temp, u_f0pc_temp
        #msm1 fine
        timestamp, folder = toolbox.latest_data(contains='magnet_Y_axismsp1',
                                                older_than=timestamp2,
                                                newer_than=newer_than,
                                                return_timestamp=True)
        print 'p folder ' + folder
        a = sequence.SequenceAnalysis(folder)
        a.get_sweep_pts()
        a.get_readout_results('ssro')
        a.get_electron_ROC(ssro_calib_folder=ssro_calib_folder)

        f0pf_temp, u_f0pf_temp = dark_esr_auto_analysis.analyze_dark_esr_single(
            add_folder=folder)
        print f0pf_temp, u_f0pf_temp
        print 'fitted values:' + str(f0pc_temp) + ' ; ' + str(
            f0mc_temp) + ' ; ' + str(f0pc_temp) + ' ; ' + str(f0mc_temp)

        if f0pc_temp > 0 and f0mc_temp > 0:
            if ((f0mf_temp + f0pf_temp) / 2 - ZFS * 1e-9) * 1e6 > -100:

                Bz_measured, Bx_measured = amt.get_B_field(
                    msm1_freq=f0mf_temp * 1e9,
                    msp1_freq=f0pf_temp * 1e9,
                    u_msm1_freq=u_f0mf_temp,
                    u_msp1_freq=u_f0pf_temp)
                f_centrec = (f0mc_temp + f0pc_temp) / 2
                f_centre_errorc = np.sqrt(u_f0mc_temp**2 + u_f0pc_temp**2) / 2
                f_diffc = (f_centrec - ZFS * 1e-9) * 1e6
                f_diff_errorc = f_centre_errorc * 1e6
                f_centref = (f0mf_temp + f0pf_temp) / 2
                f_centre_errorf = np.sqrt(u_f0mf_temp**2 + u_f0pf_temp**2) / 2
                f_difff = (f_centref - ZFS * 1e-9) * 1e6
                f_diff_errorf = f_centre_errorf * 1e6

                f0mc.append(f0mc_temp)
                u_f0mc.append(u_f0mc_temp)
                f0pc.append(f0pc_temp)
                u_f0pc.append(u_f0pc_temp)
                f0mf.append(f0mf_temp)
                u_f0mf.append(u_f0mf_temp)
                f0pf.append(f0pf_temp)
                u_f0pf.append(u_f0pf_temp)
                f_centrec_list.append(f_centrec)
                f_centre_errorc_list.append(f_centre_errorc)
                f_diffc_list.append(f_diffc)
                f_diffc_error_list.append(f_diff_errorc)
                f_centref_list.append(f_centref)
                f_centre_errorf_list.append(f_centre_errorf)
                f_difff_list.append(f_difff)
                f_difff_error_list.append(f_diff_errorf)
                Bx_field_measured.append(Bx_measured)
                Bz_field_measured.append(Bz_measured)
                timestamp_list.append(timestamp)
                it_list.append(iteration)

        older_than = str(int(timestamp1) - 1)

        iteration = iteration + 1
        print iteration

    it_list = np.linspace(0, len(it_list) - 1, len(it_list))

    np.savez('meas4',
             f0mc=f0mc,
             u_f0mc=u_f0mc,
             f0pc=f0pc,
             u_f0pc=u_f0pc,
             f0mf=f0mf,
             u_f0mf=u_f0mf,
             f0pf=f0pf,
             u_f0pf=u_f0pf,
             f_centrec_list=f_centrec_list,
             f_centrec_error_list=f_centre_errorc_list,
             f_diffc_list=f_diffc_list,
             f_diffc_error_list=f_diffc_error_list,
             f_centref_list=f_centref_list,
             f_centref_error_list=f_centre_errorf_list,
             f_difff_list=f_difff_list,
             f_difff_error_list=f_difff_error_list,
             Bx_field_measured=Bx_field_measured,
             Bz_field_measured=Bz_field_measured,
             timestamp_list=timestamp_list,
             it_list=it_list)
Example #5
0
                if (msvcrt.kbhit() and (msvcrt.getch() == 'q')):
                    break
            #use a higher threshold at the very end
            GreenAOM.set_power(5e-6)
            ins_counters.set_is_running(0)
            int_time = 1000 
            cnts = ins_adwin.measure_counts(int_time)[0]
            print 'counts = '+str(cnts)
            if cnts < 30e4:
                optimiz0r.optimize(dims=['x','y','z'])

        #measure both frequencies
            #ms=-1 coarse
        DESR_msmt.darkesr('magnet_' + axis + 'msm1_coarse', ms = 'msm', 
                range_MHz=range_coarse, pts=pts_coarse, reps=reps_coarse)
        f0m_temp, u_f0m_temp = dark_esr_auto_analysis.analyze_dark_esr(current_f_msm1*1e-9, 
                qt.exp_params['samples'][SAMPLE]['N_HF_frq']*1e-9,do_save=True)
            #ms=-1 fine
        DESR_msmt.darkesr('magnet_' + axis + 'msm1', ms = 'msm', 
                range_MHz=range_fine, pts=pts_fine, reps=reps_fine, freq=f0m_temp*1e9)
        f0m_temp, u_f0m_temp = dark_esr_auto_analysis.analyze_dark_esr_single(current_f_msp1*1e-9)
                   
        qt.msleep(1)
        
            #ms=+1 coarse
        DESR_msmt.darkesr('magnet_' + axis + 'msp1_coarse', ms = 'msp', 
                range_MHz=range_coarse, pts=pts_coarse, reps=reps_coarse)
        f0p_temp, u_f0p_temp = dark_esr_auto_analysis.analyze_dark_esr(current_f_msp1*1e-9, 
                qt.exp_params['samples'][SAMPLE]['N_HF_frq']*1e-9,do_save=True)
            #ms=+1 fine
        DESR_msmt.darkesr('magnet_' + axis + 'msp1', ms = 'msp', 
                range_MHz=range_fine, pts=pts_fine, reps=reps_fine, freq=f0p_temp*1e9)
def fit_B_msmt_loop(older_than = None, newer_than = None):
    ZFS = 2.877623e9
    f0mc = []; u_f0mc = []; f0pc = [] ;u_f0pc = []
    f0mf = []; u_f0mf = []; f0pf = [] ;u_f0pf = []
    Bx_field_measured = []
    Bz_field_measured = []
    f_centrec_list = []; f_centre_errorc_list= [];f_diffc_list=[];f_diffc_error_list = []
    f_centref_list = []; f_centre_errorf_list= [];f_difff_list=[];f_difff_error_list = []
    timestamp_list = []
    it_list = []
    f0p_temp = 1.746666
    f0m_temp = 4.008589
    
    
    #msm
    print 'start'
    older_than_SSRO = older_than
    # print older_than, newer_than
    iteration = 0
    print 'iteration'+str(iteration)

    # if type == 'course':
    #     contains_name_m = 'magnet_msm1_coarse'
    #     contains_name_p = 'magnet_msp1_coarse'
    # else:
    #     contains_name_m = 'magnet_msm1_fine'
    #     contains_name_p = 'magnet_msp1_fine'

    while toolbox.latest_data(contains='magnet_Y_axismsm1_coarse', older_than=older_than, newer_than=newer_than,raise_exc = False)!=False:
        print 'iteration'+str(iteration)


        ## Data location ##

        ssro_calib_folder = toolbox.latest_data(contains='AdwinSSRO_SSROCalibration', older_than=older_than_SSRO)
        
        #msm1 coarse
        timestamp1,folder = toolbox.latest_data(contains='magnet_Y_axismsm1_coarse', older_than=older_than, newer_than=newer_than,return_timestamp = True)
        print 'm folder '+folder
        a = sequence.SequenceAnalysis(folder)
        a.get_sweep_pts()
        a.get_readout_results('ssro')
        a.get_electron_ROC(ssro_calib_folder=ssro_calib_folder)

        f0mc_temp,u_f0mc_temp = dark_esr_auto_analysis.analyze_dark_esr(f0m_temp, 
                2.182e-3,do_save=False, sweep_direction ='right', add_folder = folder,ssro_calib_folder=ssro_calib_folder)
        print f0mc_temp,u_f0mc_temp
        #msm1 fine
        timestamp,folder = toolbox.latest_data(contains='magnet_Y_axismsm1', older_than=timestamp1, newer_than=newer_than,return_timestamp = True)
        print 'm folder '+folder
        a = sequence.SequenceAnalysis(folder)
        a.get_sweep_pts()
        a.get_readout_results('ssro')
        a.get_electron_ROC(ssro_calib_folder=ssro_calib_folder)

        f0mf_temp,u_f0mf_temp = dark_esr_auto_analysis.analyze_dark_esr_single(add_folder = folder)    
        print f0mf_temp,u_f0mf_temp
        
        #msp
        #msp1 coarse
        timestamp2,folder = toolbox.latest_data(contains='magnet_Y_axismsp1_coarse', older_than=older_than, newer_than=newer_than,return_timestamp = True)
        print 'p folder '+folder
        a = sequence.SequenceAnalysis(folder)
        a.get_sweep_pts()
        a.get_readout_results('ssro')
        a.get_electron_ROC(ssro_calib_folder=ssro_calib_folder)

        f0pc_temp,u_f0pc_temp = dark_esr_auto_analysis.analyze_dark_esr(f0p_temp, 
                2.182e-3,do_save=False, sweep_direction ='left', add_folder = folder,ssro_calib_folder=ssro_calib_folder)
        print f0pc_temp,u_f0pc_temp
        #msm1 fine
        timestamp,folder = toolbox.latest_data(contains='magnet_Y_axismsp1', older_than=timestamp2, newer_than=newer_than,return_timestamp = True)
        print 'p folder '+folder
        a = sequence.SequenceAnalysis(folder)
        a.get_sweep_pts()
        a.get_readout_results('ssro')
        a.get_electron_ROC(ssro_calib_folder=ssro_calib_folder)

        f0pf_temp,u_f0pf_temp = dark_esr_auto_analysis.analyze_dark_esr_single(add_folder = folder)
        print f0pf_temp,u_f0pf_temp
        print 'fitted values:'+ str(f0pc_temp)+' ; '+str(f0mc_temp)+' ; '+ str(f0pc_temp)+' ; '+str(f0mc_temp)


        if f0pc_temp >0 and f0mc_temp >0:
            if ((f0mf_temp+f0pf_temp)/2-ZFS*1e-9)*1e6>-100:

                Bz_measured, Bx_measured = amt.get_B_field(msm1_freq=f0mf_temp*1e9, msp1_freq=f0pf_temp*1e9, u_msm1_freq =u_f0mf_temp ,u_msp1_freq=u_f0pf_temp)
                f_centrec = (f0mc_temp+f0pc_temp)/2
                f_centre_errorc = np.sqrt(u_f0mc_temp**2+u_f0pc_temp**2)/2
                f_diffc = (f_centrec-ZFS*1e-9)*1e6
                f_diff_errorc = f_centre_errorc*1e6
                f_centref = (f0mf_temp+f0pf_temp)/2
                f_centre_errorf = np.sqrt(u_f0mf_temp**2+u_f0pf_temp**2)/2
                f_difff = (f_centref-ZFS*1e-9)*1e6
                f_diff_errorf = f_centre_errorf*1e6

                f0mc.append(f0mc_temp)
                u_f0mc.append(u_f0mc_temp)
                f0pc.append(f0pc_temp)
                u_f0pc.append(u_f0pc_temp)
                f0mf.append(f0mf_temp)
                u_f0mf.append(u_f0mf_temp)
                f0pf.append(f0pf_temp)
                u_f0pf.append(u_f0pf_temp)
                f_centrec_list.append(f_centrec)
                f_centre_errorc_list.append(f_centre_errorc)
                f_diffc_list.append(f_diffc)
                f_diffc_error_list.append(f_diff_errorc)
                f_centref_list.append(f_centref)
                f_centre_errorf_list.append(f_centre_errorf)
                f_difff_list.append(f_difff)
                f_difff_error_list.append(f_diff_errorf)
                Bx_field_measured.append(Bx_measured)
                Bz_field_measured.append(Bz_measured)
                timestamp_list.append(timestamp)
                it_list.append(iteration)

        older_than = str(int(timestamp1)-1)

        iteration = iteration+1
        print iteration

    
    it_list = np.linspace(0,len(it_list)-1,len(it_list))
    
    np.savez('meas4',
            f0mc=f0mc,
            u_f0mc=u_f0mc,
            f0pc=f0pc,
            u_f0pc=u_f0pc,
            f0mf=f0mf,
            u_f0mf=u_f0mf,
            f0pf=f0pf,
            u_f0pf=u_f0pf,
            f_centrec_list=f_centrec_list,
            f_centrec_error_list=f_centre_errorc_list,
            f_diffc_list=f_diffc_list,
            f_diffc_error_list=f_diffc_error_list,
            f_centref_list=f_centref_list,
            f_centref_error_list=f_centre_errorf_list,
            f_difff_list=f_difff_list,
            f_difff_error_list=f_difff_error_list,
            Bx_field_measured=Bx_field_measured,
            Bz_field_measured=Bz_field_measured,
            timestamp_list=timestamp_list,
            it_list=it_list)
Example #7
0
            DESR_msmt.darkesr('magnet_scanner_calib_coarse' + str(ll) + '_' +
                              str(k),
                              ms='msm',
                              range_MHz=range_coarse,
                              pts=pts_coarse,
                              reps=reps_coarse,
                              freq=f0m_temp * 1e9,
                              pulse_length=3e-6,
                              ssbmod_amplitude=0.08,
                              mw_power=-1,
                              mw_switch=False)

            f0m_temp, u_f0m_temp = dark_esr_auto_analysis.analyze_dark_esr(
                f0m_temp,
                qt.exp_params['samples'][SAMPLE]['N_HF_frq'] * 1e-9,
                do_save=save_plots,
                sweep_direction='right')

            #ms=-1 fine
            DESR_msmt.darkesr(
                'magnet_scanner_calib_fine' + str(ll) + '_' + str(k),
                ms='msm',
                range_MHz=range_fine,
                pts=pts_fine,
                reps=reps_fine,
                freq=f0m_temp * 1e9,  # - N_hyperfine,
                pulse_length=9e-6,
                ssbmod_amplitude=0.08 / 3,
                mw_power=-1,
                mw_switch=False)
def fit_B_msmt_loop(older_than = None, newer_than = None):
    ZFS = 2.877480e9
    f0m = []; u_f0m = []; f0p = [] ;u_f0p = []
    Bx_field_measured = []
    Bz_field_measured = []
    f_centre_list = []; f_diff_list=[]
    timestamp_list = []
    f_centre_error_list= []
    it_list = []
    f_diff_error_list = []
    
    #msm
    print 'start'
    older_than_SSRO = older_than
    # print older_than, newer_than
    iteration = 0
    while toolbox.latest_data(contains='msmt_msm_', older_than=older_than, newer_than=newer_than,raise_exc = False)!=False:
        print 'iteration'+str(iteration)
        timestamp,folder = toolbox.latest_data(contains='msmt_msm_', older_than=older_than, newer_than=newer_than,return_timestamp = True)
        print 'm folder '+folder
        ## Data location ##

        ssro_calib_folder = toolbox.latest_data(contains='AdwinSSRO_SSROCalibration', older_than=older_than_SSRO)

        a = sequence.SequenceAnalysis(folder)
        a.get_sweep_pts()
        a.get_readout_results('ssro')
        a.get_electron_ROC(ssro_calib_folder=ssro_calib_folder)

        f0m_temp,u_f0m_temp = dark_esr_auto_analysis.analyze_dark_esr(None, 2.196*1e-3, add_folder = folder )
       
        #msp
        folder = toolbox.latest_data(contains='msmt_msp_', older_than=older_than, newer_than=newer_than,)
        print folder
        a = sequence.SequenceAnalysis(folder)
        a.get_sweep_pts()
        a.get_readout_results('ssro')
        a.get_electron_ROC(ssro_calib_folder=ssro_calib_folder)

        f0p_temp,u_f0p_temp = dark_esr_auto_analysis.analyze_dark_esr(None, 2.196*1e-3, add_folder = folder )
        print f0p_temp >0 and f0m_temp >0
        if f0p_temp >0 and f0m_temp >0:
            Bz_measured, Bx_measured = amt.get_B_field(msm1_freq=f0m_temp*1e9, msp1_freq=f0p_temp*1e9, u_msm1_freq =u_f0m_temp ,u_msp1_freq=u_f0p_temp)
            f_centre = (f0m_temp+f0p_temp)/2
            f_centre_error = np.sqrt(u_f0m_temp**2+u_f0p_temp**2)/2
            f_diff = (f_centre-ZFS*1e-9)*1e6
            f_diff_error = f_centre_error*1e6
            f0m.append(f0m_temp)
            u_f0m.append(u_f0m_temp)
            f0p.append(f0p_temp)
            u_f0p.append(u_f0p_temp)
            f_centre_list.append(f_centre)
            f_centre_error_list.append(f_centre_error)
            f_diff_list.append(f_diff)
            f_diff_error_list.append(f_diff_error)
            Bx_field_measured.append(Bx_measured)
            Bz_field_measured.append(Bz_measured)
            timestamp_list.append(timestamp)
            it_list.append(iteration)

        older_than = str(int(timestamp)-1)

        iteration = iteration+1
        print iteration

    
    it_list = linspace(0,len(it_list)-1,len(it_list))
    outfile = TemporaryFile()
    
    np.savez('test_B_field_meas',f0m=f0m,
            u_f0m=u_f0m,
            f0p=f0p,
            u_f0p=u_f0p,
            f_centre_list=f_centre_list,
            f_centre_error_list=f_centre_error_list,
            f_diff_list=f_diff_list,
            f_diff_error_list=f_diff_error_list,
            Bx_field_measured=Bx_field_measured,
            Bz_field_measured=Bz_field_measured,
            timestamp_list=timestamp_list,
            it_list=it_list)