def perform_noise_test(plotname, fignum):
fignum = fignum + 1
info = str(fignum).zfill(2) + '___' + plotname
plotname = info + '.png'
# sample noise
nmrObj.noise(samp_freq, samples)
# process the data
if en_remote_computing: # copy remote files to local directory
cp_rmt_file(nmrObj.scp, nmrObj.server_data_folder,
nmrObj.client_data_folder, "current_folder.txt")
meas_folder = parse_simple_info(data_folder, 'current_folder.txt')
if en_remote_computing: # copy remote folder to local directory
cp_rmt_folder(nmrObj.scp, nmrObj.server_data_folder,
nmrObj.client_data_folder, meas_folder[0])
exec_rmt_ssh_cmd_in_datadir(
nmrObj.ssh, "rm -rf " + meas_folder[0],
nmrObj.server_data_folder) # delete the file in the server
# nstd, nmean = compute_stats( min_freq, max_freq, data_folder, meas_folder[0], plotname, en_fig ) # real scan
nstd, nmean = compute_in_bw_noise(conf.meas_bw_kHz, conf.Df_MHz, min_freq,
max_freq, data_folder, meas_folder[0],
plotname, en_fig)
f.write("std: %08.3f\tmean: %08.3f \t-> %s\n" % (nstd, nmean, info))
shutil.move(data_folder + '/' + meas_folder[0],
swfolder + '/' + info) # move the data folder
shutil.move(swfolder + '/' + info + '/' + plotname,
swfolder + '/' + plotname) # move the data folder
return fignum
def analyze(nmrObj, tuning_freq, sta_freq, sto_freq, spac_freq, samp_freq,
fftpts, fftcmd, fftvalsub, continuous, en_fig):
timeObj = time_meas(False)
fig_num = 1
while True:
Vbias, Vvarac = find_Vbias_Vvarac_from_table(nmrObj.client_path,
tuning_freq,
nmrObj.S21_table)
nmrObj.setPreampTuning(Vbias, Vvarac)
Cpar, Cser = find_Cpar_Cser_from_table(nmrObj.client_path, tuning_freq,
nmrObj.S11_table)
# nmrObj.setMatchingNetwork( Cpar, Cser )
timeObj.setTimeSta()
# nmrObj.pamp_char_async ( sta_freq, sto_freq, spac_freq, samp_freq )
nmrObj.pamp_char_sync(sta_freq, sto_freq, spac_freq, fftpts, fftcmd,
fftvalsub)
timeObj.setTimeSto()
timeObj.reportTimeRel("pamp_char_sync")
timeObj.setTimeSta()
if nmrObj.en_remote_computing: # copy remote files to local directory
cp_rmt_file(nmrObj.scp, nmrObj.server_data_folder,
nmrObj.client_data_folder, "current_folder.txt")
meas_folder = parse_simple_info(nmrObj.data_folder,
'current_folder.txt')
if nmrObj.en_remote_computing: # copy remote folder to local directory
cp_rmt_folder(nmrObj.scp, nmrObj.server_data_folder,
nmrObj.client_data_folder, meas_folder[0])
exec_rmt_ssh_cmd_in_datadir(
nmrObj.ssh, "rm -rf " + meas_folder[0],
nmrObj.server_data_folder) # delete the file in the server
# maxS21, maxS21_freq, _ = compute_gain_async( nmrObj, data_folder, meas_folder[0], en_fig, fig_num )
# maxS21, maxS21_freq, _ = compute_gain_sync( nmrObj, nmrObj.data_folder, meas_folder[0], en_fig, fig_num )
maxS21, maxS21_freq, _ = compute_gain_fft_sync(nmrObj,
nmrObj.data_folder,
meas_folder[0], en_fig,
fig_num)
# print( 'maxS21={0:0.2f} maxS21_freq={1:0.2f}'.format( maxS21, maxS21_freq ) )
print(
'maxS21=%0.2f maxS21_freq=%0.2f Vbias=%0.2fV Vvarac=%0.2fV Cpar=%d Cser=%d'
% (maxS21, maxS21_freq, Vbias, Vvarac, Cpar, Cser))
timeObj.setTimeSto()
timeObj.reportTimeRel("processing time")
if (not continuous):
break
def runExpt(vbias, vvarac):
# useRef: use the pregenerated S11mV_ref as a reference to compute reflection. If this option is 0, then the compute_wobble will instead generated S11 in mV format instead of dB format
# global variable
global exptnum
global maxS21Table
exptnum = exptnum + 1
maxS21dB, maxS21Freq, S21mV = nmr_pamp_char.analyze(
nmrObj, vbias, vvarac, freqSta, freqSto, freqSpa, freqSamp, fftpts,
fftcmd, fftvalsub, continuous, en_fig)
# update the table
maxS21Table = updateTable(maxS21Table, 20 * np.log10(abs(S21mV)), vbias,
vvarac)
# move the measurement folder to the main folder
meas_folder = parse_simple_info(nmrObj.data_folder, 'current_folder.txt')
swfolder_ind = swfolder + '/' + str('vbias_%0.3f__vvarac_%0.3f' %
(vbias, vvarac))
if en_fig:
if (mode == 0 or mode == 1):
shutil.move(nmrObj.data_folder + '/' + meas_folder[0] +
'/gainFFT.png', swfolder + '/' +
str('plt%3d__vbias_%0.3f__vvarac_%0.3f.png' %
(exptnum, vbias, vvarac))) # move the figure
elif (mode == 2):
shutil.move(nmrObj.data_folder + '/' + meas_folder[0] +
'/gain.png', swfolder + '/' +
str('plt%3d__vbias_%0.3f__vvarac_%0.3f.png' %
(exptnum, vbias, vvarac))) # move the figure
if keepRawData:
# write gain values to a file
RawDataFile = open(
swfolder + '/S21___vbias_%0.3f__vvarac_%0.3f.txt' %
(vbias, vvarac), 'w')
RawDataFile.write('freq(MHz)\t max-voltage(mV)\n')
RawDataFile.close()
with open(
swfolder + '/S21___vbias_%0.3f__vvarac_%0.3f.txt' %
(vbias, vvarac), 'a') as f:
for (a, b) in zip(freqSw, abs(S21mV)):
f.write('{:-8.3f},{:-8.3f}\n'.format(a, b))
shutil.rmtree(nmrObj.data_folder + '/' +
meas_folder[0]) # remove the data folder
else:
shutil.rmtree(nmrObj.data_folder + '/' +
meas_folder[0]) # remove the data folder
return S21mV, maxS21Freq
def analyze( nmrObj, extSet, cparVal, cserVal, freqSta, freqSto, freqSpa, freqSamp , fftpts, fftcmd, ftvalsub, S11mV_ref, useRef , en_fig ):
# useRef: use the pregenerated S11mV_ref as a reference to compute
# reflection. If this option is 0, then the compute_wobble will instead
# generated S11 in mV format instead of dB format
fig_num = 1
# change matching network values (twice because sometimes it doesnt' work
# once due to transient
if ( not extSet ): # if extSet is used, matching network should be programmed from external source (e.g. C executable), otherwise set the value from here
nmrObj.setMatchingNetwork( cparVal, cserVal )
# nmrObj.setMatchingNetwork( cparVal, cserVal )
timeObj = time_meas( False )
timeObj.setTimeSta()
# do measurement
if (wobble_mode == 0 or wobble_mode == 1):
nmrObj.wobble_sync( freqSta, freqSto, freqSpa , fftpts, fftcmd, ftvalsub )
elif (wobble_mode == 2):
nmrObj.wobble_async( freqSta, freqSto, freqSpa, freqSamp )
timeObj.setTimeSto()
timeObj.reportTimeRel( "wobble_sync" )
# disable all to save power
# nmrObj.deassertAll()
timeObj.setTimeSta()
# compute the generated data
if nmrObj.en_remote_computing: # copy remote files to local directory
cp_rmt_file( nmrObj.scp, nmrObj.server_data_folder, nmrObj.client_data_folder, "current_folder.txt" )
meas_folder = parse_simple_info( nmrObj.data_folder, 'current_folder.txt' )
if nmrObj.en_remote_computing: # copy remote folder to local directory
cp_rmt_folder( nmrObj.scp, nmrObj.server_data_folder, nmrObj.client_data_folder, meas_folder[0] )
exec_rmt_ssh_cmd_in_datadir( nmrObj.ssh, "rm -rf " + meas_folder[0], nmrObj.server_data_folder ) # delete the file in the server
timeObj.setTimeSto()
timeObj.reportTimeRel( "transfer_data" )
timeObj.setTimeSta()
if (wobble_mode == 0):
S11, S11_fmin, S11_fmax, S11_bw, minS11, minS11_freq = compute_wobble_fft_sync( nmrObj, nmrObj.data_folder, meas_folder[0], -10, S11mV_ref, useRef, en_fig, fig_num )
elif (wobble_mode == 1):
S11, S11_fmin, S11_fmax, S11_bw, minS11, minS11_freq, freq0, Z11_imag0 = compute_wobble_sync( nmrObj, nmrObj.data_folder, meas_folder[0], -10, S11mV_ref, useRef, en_fig, fig_num )
elif (wobble_mode == 2):
S11, S11_fmin, S11_fmax, S11_bw, minS11, minS11_freq = compute_wobble_async( nmrObj, nmrObj.data_folder, meas_folder[0], -10, S11mV_ref, useRef, en_fig, fig_num )
print( '\t\tfmin={:0.3f} fmax={:0.3f} bw={:0.3f} minS11={:0.2f} minS11_freq={:0.3f} cparVal={:d} cserVal={:d}'.format(
S11_fmin, S11_fmax, S11_bw, minS11, minS11_freq, cparVal, cserVal ) )
timeObj.setTimeSto()
timeObj.reportTimeRel( "data processing" )
return S11, S11_fmin, S11_fmax, S11_bw, minS11, minS11_freq
def runExpt(cparVal, cserVal, S11mV_ref, useRef):
# useRef: use the pregenerated S11mV_ref as a reference to compute
# reflection. If this option is 0, then the compute_wobble will instead
# generated S11 in mV format instead of dB format
if meas_time:
start_time = time.time()
# enable power and signal path
nmrObj.assertControlSignal(nmrObj.RX1_2L_msk | nmrObj.RX_SEL2_msk
| nmrObj.RX_FL_msk)
nmrObj.assertControlSignal(nmrObj.PSU_15V_TX_P_EN_msk
| nmrObj.PSU_15V_TX_N_EN_msk
| nmrObj.PSU_5V_TX_N_EN_msk
| nmrObj.PSU_5V_ADC_EN_msk
| nmrObj.PSU_5V_ANA_P_EN_msk
| nmrObj.PSU_5V_ANA_N_EN_msk)
# change matching network values (twice because sometimes it doesnt' work
# once due to transient
nmrObj.setMatchingNetwork(cparVal, cserVal)
nmrObj.setMatchingNetwork(cparVal, cserVal)
# do measurement
nmrObj.wobble(sta_freq, sto_freq, spac_freq, samp_freq)
# disable all to save power
nmrObj.deassertAll()
if meas_time:
elapsed_time = time.time() - start_time
start_time = time.time() # reset the start time
print("### time elapsed for running wobble exec: %.3f" %
(elapsed_time))
# compute the generated data
meas_folder = parse_simple_info(data_parent_folder, 'current_folder.txt')
S11dB, S11_fmin, S11_fmax, S11_bw, minS11, minS11_freq = compute_wobble(
nmrObj, data_parent_folder, meas_folder[0], -10, S11mV_ref, useRef,
en_fig, fig_num)
print(
'\t\tfmin={:0.3f} fmax={:0.3f} bw={:0.3f} minS11={:0.2f} minS11_freq={:0.3f} cparVal={:d} cserVal={:d}'
.format(S11_fmin, S11_fmax, S11_bw, minS11, minS11_freq, cparVal,
cserVal))
if meas_time:
elapsed_time = time.time() - start_time
print("### time elapsed for compute_wobble: %.3f" % (elapsed_time))
return S11dB, minS11_freq
def runExpt(cparVal, cserVal, S11mV_ref, useRef):
# useRef: use the pregenerated S11mV_ref as a reference to compute reflection. If this option is 0, then the compute_wobble will instead generated S11 in mV format instead of dB format
# global variable
global exptnum
global minReflxTable
exptnum = exptnum + 1
S11, S11_fmin, S11_fmax, S11_bw, minS11, minS11_freq = nmr_wobble.analyze(
nmrObj, extSet, cparVal, cserVal, freqSta, freqSto, freqSpa, freqSamp,
fftpts, fftcmd, fftvalsub, S11mV_ref, useRef, en_fig)
# update the table
minReflxTable = updateTable(minReflxTable, 20 * np.log10(abs(S11)),
cparVal, cserVal)
# move the measurement folder to the main folder
meas_folder = parse_simple_info(nmrObj.data_folder, 'current_folder.txt')
swfolder_ind = swfolder + '/' + str('Cp_[{:d}]__Cs_[{:d}]'.format(
cparVal, cserVal))
if en_fig:
shutil.move(nmrObj.data_folder + '/' + meas_folder[0] + '/wobble.png',
swfolder + '/' +
str('plt{:03d}_Cp_[{:d}]__Cs_[{:d}].png'.format(
exptnum, cparVal, cserVal))) # move the figure
if keepRawData:
# write gain values to a file
RawDataFile = open(
swfolder +
'/S11_Cp_[{:d}]__Cs_[{:d}].txt'.format(cparVal, cserVal), 'w')
RawDataFile.write('freq(MHz)\t min-voltage(mV)\n')
RawDataFile.close()
with open(
swfolder +
'/S11_Cp_[{:d}]__Cs_[{:d}].txt'.format(cparVal, cserVal),
'a') as f:
for (a, b) in zip(freqSw, abs(S11)):
f.write('{:-8.3f},{:-8.3f}\n'.format(a, b))
shutil.rmtree(nmrObj.data_folder + '/' +
meas_folder[0]) # remove the data folder
else:
shutil.rmtree(nmrObj.data_folder + '/' +
meas_folder[0]) # remove the data folder
return S11, minS11_freq
def wobb_meas(data_parent_folder, cparIdx, cserIdx, s11_obj, en_fig):
startfreq = 3
stopfreq = 5.5
spacfreq = 0.02
sampfreq = 25
wobb_samples = int(sampfreq / spacfreq)
command = ("./thesis_nmr_de1soc_hdl2.0_wobble" + " " + str(cparIdx) + " " +
str(cserIdx) + " " + str(startfreq) + " " + str(stopfreq) +
" " + str(spacfreq) + " " + str(sampfreq) + " " +
str(wobb_samples))
os.system(command + ' > /dev/null')
meas_folder = parse_simple_info(data_parent_folder, 'current_folder.txt')
S11_fmin, S11_fmax, S11_bw, minS11, minS11_freq = compute_wobble(
data_parent_folder, meas_folder[0], s11_obj, en_fig)
#print('fmin={0:0.3f} fmax={1:0.3f} bw={2:0.3f}'.format(S11_fmin, S11_fmax, S11_bw))
return S11_fmin, S11_fmax, S11_bw, minS11, minS11_freq
def perform_noise_test(plotname, fignum):
fignum = fignum + 1
info = str(fignum).zfill(2) + '___' + plotname
plotname = info + '.png'
# sample noise
nmrObj.noise(samp_freq, samples)
# process the data
meas_folder = parse_simple_info(data_folder, 'current_folder.txt')
nstd, nmean = compute_stats(min_freq, max_freq, data_folder,
meas_folder[0], plotname, en_fig) # real scan
f.write("std: %08.3f\tmean: %08.3f \t-> %s\n" % (nstd, nmean, info))
shutil.move(data_folder + '/' + meas_folder[0],
swfolder + '/' + info) # move the data folder
shutil.move(swfolder + '/' + info + '/' + plotname,
swfolder + '/' + plotname) # move the data folder
return fignum
def analyze( nmrObj , Vbias, Vvarac, freqSta, freqSto , freqSpa, freqSamp, fftpts, fftcmd, fftvalsub, continuous, en_fig ):
fig_num = 1
while True:
# set the preamp tuning
nmrObj.setPreampTuning( Vbias, Vvarac )
if (mode == 0 or mode == 1):
nmrObj.pamp_char_sync ( freqSta, freqSto, freqSpa, fftpts, fftcmd, fftvalsub )
elif (mode == 2):
nmrObj.pamp_char_async ( freqSta, freqSto, freqSpa, freqSamp )
if nmrObj.en_remote_computing: # copy remote files to local directory
cp_rmt_file( nmrObj.scp, nmrObj.server_data_folder, nmrObj.client_data_folder, "current_folder.txt" )
meas_folder = parse_simple_info( nmrObj.data_folder, 'current_folder.txt' )
# meas_folder[0] = "nmr_wobb_2018_06_25_12_44_48"
if nmrObj.en_remote_computing: # copy remote folder to local directory
cp_rmt_folder( nmrObj.scp, nmrObj.server_data_folder, nmrObj.client_data_folder, meas_folder[0] )
exec_rmt_ssh_cmd_in_datadir( nmrObj.ssh, "rm -rf " + meas_folder[0], nmrObj.server_data_folder ) # delete the file in the server
if (mode == 0):
maxS21, maxS21_freq, S21mV = compute_gain_fft_sync( nmrObj, nmrObj.data_folder, meas_folder[0], en_fig, fig_num )
elif (mode == 1): # UNTESTED
maxS21, maxS21_freq, _ = compute_gain_sync( nmrObj, data_folder, meas_folder[0], en_fig, fig_num )
elif (mode == 2):
maxS21, maxS21_freq, S21mV = compute_gain_async( nmrObj, nmrObj.data_folder, meas_folder[0], en_fig, fig_num )
print( "maxS21_fft=%0.2fdBmV maxS21_freq=%0.2fMHz Vbias=%0.2fV Vvarac=%0.2fV" % (
maxS21, maxS21_freq, Vbias, Vvarac ) )
if ( not continuous ):
break;
return maxS21, maxS21_freq, S21mV
def analyze( nmrObj, samp_freq, samples, min_freq, max_freq, tuning_freq, meas_bw_kHz, continuous, en_fig ):
# load parameters from table
Cpar, Cser = find_Cpar_Cser_from_table ( nmrObj.client_path , tuning_freq, nmrObj.S11_table )
Vbias, Vvarac = find_Vbias_Vvarac_from_table ( nmrObj.client_path , tuning_freq, nmrObj.S21_table )
nmrObj.setPreampTuning( Vbias, Vvarac ) # try -2.7, -1.8 if fail
# nmrObj.setMatchingNetwork( Cpar, Cser ) # 4.25 MHz AFE
nmrObj.setMatchingNetwork( 2190, 484 ) # 4.25 MHz AFE
# load parameters from config file
# nmrObj.setPreampTuning( conf.vbias, conf.vvarac ) # try -2.7, -1.8 if fail
# nmrObj.setMatchingNetwork( conf.cpar, conf.cser ) # 4.25 MHz AFE
nmrObj.assertControlSignal( nmrObj.RX_FL_msk | nmrObj.RX_FH_msk | nmrObj.RX_SEL1_msk | nmrObj.RX2_L_msk | nmrObj.RX2_H_msk | nmrObj.RX1_1L_msk | nmrObj.RX1_1H_msk | nmrObj.PAMP_IN_SEL2_msk )
# nmrObj.deassertControlSignal( nmrObj.RX_FH_msk | nmrObj.RX2_L_msk | nmrObj.RX_FH_msk )
nmrObj.deassertControlSignal( nmrObj.RX_FL_msk )
# nmrObj.deassertControlSignal( nmrObj.RX1_1H_msk | nmrObj.RX2_H_msk | nmrObj.RX_FH_msk )
# nmrObj.assertControlSignal( nmrObj.RX1_2L_msk | nmrObj.RX_SEL2_msk | nmrObj.RX_FL_msk ) # for finding FFT wobble function ADC subtraction value
while True:
nmrObj.noise( samp_freq, samples )
if nmrObj.en_remote_computing: # copy remote files to local directory
cp_rmt_file( nmrObj.scp, nmrObj.server_data_folder, nmrObj.client_data_folder, "current_folder.txt" )
# process the data
meas_folder = parse_simple_info( nmrObj.data_folder, 'current_folder.txt' )
if nmrObj.en_remote_computing: # copy remote folder to local directory
cp_rmt_folder( nmrObj.scp, nmrObj.server_data_folder, nmrObj.client_data_folder, meas_folder[0] )
exec_rmt_ssh_cmd_in_datadir( nmrObj.ssh, "rm -rf " + meas_folder[0], nmrObj.server_data_folder ) # delete the file in the server
# compute_stats( min_freq, max_freq, data_folder, meas_folder[0], 'noise_plot.png', en_fig )
compute_in_bw_noise( meas_bw_kHz, tuning_freq, min_freq, max_freq, nmrObj.data_folder, meas_folder[0], 'noise_plot.png', en_fig )
if ( not continuous ):
break
def nmr_t2_auto ( cpmg_freq, pulse1_us, pulse2_us, echo_spacing_us, scan_spacing_us, samples_per_echo, echoes_per_scan, init_adc_delay_compensation, number_of_iteration, ph_cycl_en, dconv_lpf_ord, dconv_lpf_cutoff_Hz, client_data_folder ):
# configurations
en_fig = 1 # enable figure
direct_read = 0 # perform direct read from SDRAM. use with caution above!
process_data = 1 # process data within the SoC
en_remote_dbg = False
en_remote_computing = True
pulse1_dtcl = 0.5 # useless with current code
pulse2_dtcl = 0.5 # useless with current code
pulse180_t1_int = 0
delay180_t1_int = 0
tx_sd_msk = 1 # 1 to shutdown tx opamp during reception, or 0 to keep it powered up during reception
en_dconv = 0 # enable downconversion in the fpga
dconv_fact = 4 # downconversion factor. minimum of 4.
echo_skip = 1 # echo skip factor. set to 1 for the ADC to capture all echoes
# instantiate nmr object
nmrObj = tunable_nmr_system_2018( client_data_folder, en_remote_dbg, en_remote_computing )
# system setup
nmrObj.initNmrSystem() # necessary to set the GPIO initial setting. Also fix the
nmrObj.assertControlSignal( nmrObj.PSU_15V_TX_P_EN_msk | nmrObj.PSU_15V_TX_N_EN_msk | nmrObj.PSU_5V_TX_N_EN_msk |
nmrObj.PSU_5V_ADC_EN_msk | nmrObj.PSU_5V_ANA_P_EN_msk |
nmrObj.PSU_5V_ANA_N_EN_msk )
# nmrObj.deassertControlSignal(
# nmrObj.PSU_15V_TX_P_EN_msk | nmrObj.PSU_15V_TX_N_EN_msk)
Vbias, Vvarac = find_Vbias_Vvarac_from_table ( nmrObj.client_path , cpmg_freq, nmrObj.S21_table )
nmrObj.setPreampTuning( Vbias, Vvarac )
Cpar, Cser = find_Cpar_Cser_from_table ( nmrObj.client_path , cpmg_freq, nmrObj.S11_table )
nmrObj.setMatchingNetwork( Cpar, Cser )
nmrObj.setMatchingNetwork( Cpar, Cser )
# setting for WMP
nmrObj.assertControlSignal(
nmrObj.RX1_1L_msk | nmrObj.RX1_1H_msk | nmrObj.RX2_L_msk | nmrObj.RX2_H_msk | nmrObj.RX_SEL1_msk | nmrObj.RX_FL_msk | nmrObj.RX_FH_msk | nmrObj.PAMP_IN_SEL2_msk )
nmrObj.deassertControlSignal( nmrObj.RX1_1H_msk | nmrObj.RX_FH_msk ) # setting for UF
# nmrObj.deassertControlSignal( nmrObj.RX_FL_msk ) # setting for WMP
if ( direct_read ):
datain = nmrObj.cpmgSequenceDirectRead( cpmg_freq, pulse1_us, pulse2_us, pulse1_dtcl, pulse2_dtcl, echo_spacing_us, scan_spacing_us, samples_per_echo,
echoes_per_scan, init_adc_delay_compensation, number_of_iteration, ph_cycl_en,
pulse180_t1_int, delay180_t1_int, tx_sd_msk )
else:
nmrObj.cpmgSequence( cpmg_freq, pulse1_us, pulse2_us, pulse1_dtcl, pulse2_dtcl, echo_spacing_us, scan_spacing_us, samples_per_echo,
echoes_per_scan, init_adc_delay_compensation, number_of_iteration,
ph_cycl_en, pulse180_t1_int, delay180_t1_int, tx_sd_msk, en_dconv, dconv_fact, echo_skip )
datain = [] # set datain to 0 because the data will be read from file instead
nmrObj.deassertControlSignal(
nmrObj.RX1_1H_msk | nmrObj.RX1_1L_msk | nmrObj.RX2_L_msk | nmrObj.RX2_H_msk | nmrObj.RX_SEL1_msk | nmrObj.RX_FL_msk | nmrObj.RX_FH_msk | nmrObj.PAMP_IN_SEL2_msk )
nmrObj.setMatchingNetwork( 0, 0 )
nmrObj.setPreampTuning( 0, 0 )
nmrObj.deassertControlSignal( nmrObj.PSU_15V_TX_P_EN_msk | nmrObj.PSU_15V_TX_N_EN_msk | nmrObj.PSU_5V_TX_N_EN_msk |
nmrObj.PSU_5V_ADC_EN_msk | nmrObj.PSU_5V_ANA_P_EN_msk | nmrObj.PSU_5V_ANA_N_EN_msk )
if ( process_data ):
# compute the generated data
if en_remote_computing: # copy remote files to local directory
cp_rmt_file( nmrObj.scp, nmrObj.server_data_folder, nmrObj.client_data_folder, "current_folder.txt" )
meas_folder = parse_simple_info( nmrObj.data_folder, 'current_folder.txt' )
if en_remote_computing: # copy remote folder to local directory
cp_rmt_folder( nmrObj.scp, nmrObj.server_data_folder, nmrObj.client_data_folder, meas_folder[0] )
exec_rmt_ssh_cmd_in_datadir( nmrObj.ssh, "rm -rf " + meas_folder[0], nmrObj.server_data_folder ) # delete the file in the server
( a, a_integ, a0, snr, T2, noise, res, theta, data_filt, echo_avg, Df, t_echospace ) = compute_iterate( nmrObj,
nmrObj.data_folder, meas_folder[0], 0, 0, 0, direct_read, datain, en_fig , dconv_lpf_ord, dconv_lpf_cutoff_Hz )
nmrObj.deassertAll()
nmrObj.exit()
def cpmgT1( self, cpmg_freq, pulse1_us, pulse2_us, pulse1_dtcl, pulse2_dtcl, echo_spacing_us, scan_spacing_us, samples_per_echo, echoes_per_scan, init_adc_delay_compensation, number_of_iteration, ph_cycl_en, pulse180_t1_us, logsw, delay180_sta, delay180_sto, delay180_ste, ref_number_of_iteration, ref_twait_mult, data_folder, en_scan_fig, en_fig ):
# create t1 measurement folder
t1_meas_folder = datetime.now().strftime( '%Y_%m_%d_%H_%M_%S' ) + '_t1_meas'
os.mkdir( t1_meas_folder )
t1_meas_hist = 't1_meas_hist.txt' # the history file name for t1 measurement
self.fig_num = 1
self.fcpmg_to_fsys_mult = 16 # system_frequency/cpmg_frequency,set by fpga
self.t1_opt_mult = 1.6
# compute period for the system clock (which is multiplication of the cpmg
# freq)
t_sys = ( 1 / cpmg_freq ) / self.fcpmg_to_fsys_mult
# compute pulse180_t1 in integer values and round it to
# fcpmg_to_fsys_mult multiplication
pulse180_t1_int = np.round(
( pulse180_t1_us / t_sys ) / self.fcpmg_to_fsys_mult ) * self.fcpmg_to_fsys_mult
# process delay
if logsw:
delay180_t1_sw = np.logspace(
np.log10( delay180_sta ), np.log10( delay180_sto ), delay180_ste )
else:
delay180_t1_sw = np.linspace(
delay180_sta, delay180_sto, delay180_ste )
# make delay to be multiplication of fcpmg_to_fsys_mult
delay180_t1_sw_int = np.round( ( delay180_t1_sw / t_sys ) /
self.fcpmg_to_fsys_mult ) * self.fcpmg_to_fsys_mult
# compute the reference and do cpmg
ref_twait = ref_twait_mult * delay180_t1_sw_int[delay180_ste - 1]
ref_twait_int = np.round(
( ref_twait ) / self.fcpmg_to_fsys_mult ) * self.fcpmg_to_fsys_mult
self.cpmgSequence( cpmg_freq, pulse1_us, pulse2_us, pulse1_dtcl, pulse2_dtcl, echo_spacing_us, scan_spacing_us, samples_per_echo,
echoes_per_scan, init_adc_delay_compensation, ref_number_of_iteration, ph_cycl_en, pulse180_t1_int, ref_twait_int )
# process the data
meas_folder = parse_simple_info( data_folder, 'current_folder.txt' )
( a_ref, _, a0_ref, snr_ref, T2_ref, noise_ref, res_ref, theta_ref, data_filt_ref, echo_avg_ref, Df, _ ) = compute_iterate(
data_folder, meas_folder[0], 0, 0, 0, en_scan_fig )
# move the folder to t1 measurement folder and write history
shutil.move( meas_folder[0], t1_meas_folder )
write_text_append( t1_meas_folder, t1_meas_hist, meas_folder[0] )
# make the loop
a0_table = np.zeros( delay180_ste ) # normal format
a0_table_decay = np.zeros( delay180_ste ) # decay format
asum_table = np.zeros( delay180_ste ) # normal format
asum_table_decay = np.zeros( delay180_ste ) # decay format
for i in range( 0, delay180_ste ):
delay180_t1_int = delay180_t1_sw_int[i]
# do cpmg scan
self.cpmgSequence( cpmg_freq, pulse1_us, pulse2_us, pulse1_dtcl, pulse2_dtcl, echo_spacing_us, scan_spacing_us, samples_per_echo,
echoes_per_scan, init_adc_delay_compensation, number_of_iteration, ph_cycl_en, pulse180_t1_int, delay180_t1_int )
# process the data (note that a0 and T2 is based on single
# exponential fit)
meas_folder = parse_simple_info( data_folder, 'current_folder.txt' )
( a, _, a0, snr, T2, noise, res, theta, data_filt, echo_avg, Df, _ ) = compute_iterate(
data_folder, meas_folder[0], 1, theta_ref, echo_avg_ref, en_scan_fig )
# move the folder to t1 measurement folder and write history
shutil.move( meas_folder[0], t1_meas_folder )
write_text_append( t1_meas_folder, t1_meas_hist, meas_folder[0] )
# interscan data store
a0_table[i] = a0
a0_table_decay[i] = a0_ref - a0
asum_table[i] = np.mean( np.real( a ) )
asum_table_decay[i] = np.mean( np.real( a_ref ) ) - np.mean( np.real( a ) )
if en_fig:
print( 'Loading Figure' )
plt.ion()
fig = plt.figure( self.fig_num )
fig.clf()
ax = fig.add_subplot( 3, 1, 1 )
if logsw:
line1, = ax.semilogx(
delay180_t1_sw[0:i + 1] / 1000, asum_table[0:i + 1], 'r-' )
else:
line1, = ax.plot(
delay180_t1_sw[0:i + 1] / 1000, asum_table[0:i + 1], 'r-' )
# ax.set_xlim(-50, 0)
# ax.set_ylim(-50, 0)
ax.set_ylabel( 'Initial amplitude [a.u.]' )
ax.set_title( "T1 inversion recovery" )
ax.grid()
ax = fig.add_subplot( 3, 1, 2 )
if logsw:
line1, = ax.semilogx(
delay180_t1_sw[0:i + 1] / 1000, asum_table_decay[0:i + 1], 'r-' )
else:
line1, = ax.plot(
delay180_t1_sw[0:i + 1] / 1000, asum_table_decay[0:i + 1], 'r-' )
# ax.set_xlim(-50, 0)
# ax.set_ylim(-50, 0)
# ax.set_xlabel('Wait time [ms]')
ax.set_ylabel( 'Initial amplitude [a.u.]' )
ax.grid()
ax = fig.add_subplot( 3, 1, 3 )
ax.set_ylabel( 'Amplitude [a.u.]' )
ax.set_xlabel( 'Wait time [ms]' )
ax.grid()
fig.canvas.draw()
fig.canvas.flush_events()
print( 'Figure Loaded' )
# save t1 data to csv file to be processed
f = open( t1_meas_folder + '/' + 't1heel_in.csv', "w+" )
for i in range( 0, delay180_ste ):
f.write( "%f," % ( delay180_t1_sw[i] / 1000 ) ) # in milisecond
f.write( "%f\n" % ( a0_table_decay[i] ) )
f.close()
# process t1 data
self.doLaplaceInversion( t1_meas_folder + '/' + 't1heel_in.csv',
t1_meas_folder )
tvect, data = parse_csv_float2col(
t1_meas_folder, 't1heel_out.csv' )
i_peaks = signal.find_peaks_cwt( data, np.arange( 1, 10 ) )
t1_opt = tvect[max( i_peaks )]
'''
a_peaks = np.zeros(len(i_peaks))
for i in range(0, len(i_peaks)):
a_peaks[i] = data[i_peaks[i]]
# find tvect in which the largest peak is found
t1_opt = tvect[i_peaks[np.where(max(a_peaks))[0][0]]] # in second
'''
if en_fig:
ax = fig.add_subplot( 3, 1, 3 )
if logsw:
line1, = ax.semilogx( np.multiply( tvect, 1000 ), data, 'r-' )
else:
line1, = ax.plot( np.multiply( tvect, 1000 ), data, 'r-' )
ax.set_ylabel( 'Amplitude [a.u.]' )
ax.set_xlabel( 'Wait time [ms]' )
ax.grid()
fig.canvas.draw()
# copy the measurement history script
shutil.copy( 'measurement_history_matlab_script.txt', t1_meas_folder )
return delay180_t1_sw, a0_table, a0_ref, asum_table, t1_opt, t1_meas_folder
samples = 100000 # number of points
min_freq = 3.8 # in MHz
max_freq = 4.7 # in MHz
# tuning_freq = 1.6 # hardware tuning frequency selector, using lookup table
meas_bw_kHz = 200 # downconversion filter bw
continuous = False # continuous running at one frequency configuration
client_data_folder = "C:\\Users\\dave\\Documents\\NMR_DATA"
en_fig = True
# create name for new folder
now = datetime.now()
datename = now.strftime("%Y_%m_%d_%H_%M_%S")
swfolder = client_data_folder + '\\' + datename + '_noise_scan'
mkdir(swfolder)
nmrObj = nmr_noise.init(swfolder)
freqList = np.arange(4.0, 4.5, 0.01)
for tuning_freq in freqList:
nmr_noise.analyze(nmrObj, samp_freq, samples, min_freq, max_freq,
tuning_freq, meas_bw_kHz, continuous, en_fig)
meas_folder = parse_simple_info(swfolder, 'current_folder.txt')
move(swfolder + '/' + meas_folder[0],
swfolder + '/noise_at_freq_%2.3f' % tuning_freq) # move the folder
copy(swfolder + ('/noise_at_freq_%2.3f' % tuning_freq) + '/noise_plot.png',
swfolder + '/' +
('/noise_at_freq_%2.3f.png' %
tuning_freq)) # copy the figure into the main folder
nmr_noise.exit(nmrObj)
Vbias = -2.0
Vvarac = 2.8
# (vbias vvarac)
nmrObj.setPreampTuning(Vbias, Vvarac) #-2.5, 2.8) # try -2.7, -1.8 if fail
nmrObj.setMatchingNetwork(0, 0)
nmrObj.setMatchingNetwork(0, 0)
while True:
nmrObj.assertControlSignal(nmrObj.RX1_1L_msk | nmrObj.RX2_L_msk
| nmrObj.RX2_H_msk | nmrObj.RX_SEL1_msk
| nmrObj.RX_FL_msk)
nmrObj.assertControlSignal(nmrObj.PSU_15V_TX_P_EN_msk
| nmrObj.PSU_15V_TX_N_EN_msk
| nmrObj.PSU_5V_TX_N_EN_msk
| nmrObj.PSU_5V_ADC_EN_msk
| nmrObj.PSU_5V_ANA_P_EN_msk
| nmrObj.PSU_5V_ANA_N_EN_msk)
time.sleep(0.1)
nmrObj.pamp_char(sta_freq, sto_freq, spac_freq, samp_freq)
nmrObj.deassertAll()
meas_folder = parse_simple_info(data_parent_folder, 'current_folder.txt')
# meas_folder[0] = "nmr_wobb_2018_06_25_12_44_48"
maxS21, maxS21_freq, _ = compute_gain(nmrObj, data_parent_folder,
meas_folder[0], en_fig, fig_num)
print('maxS21={0:0.2f} maxS21_freq={1:0.2f}'.format(maxS21, maxS21_freq))
def nmr_t2_multifreq_auto ( cpmg_freq_list, pulse1_us, pulse2_us, echo_spacing_us, scan_spacing_us, multiscan_spacing_us, samples_per_echo, echoes_per_scan, init_adc_delay_compensation, number_of_iteration, ph_cycl_en, dconv_lpf_ord, dconv_lpf_cutoff_Hz, client_data_folder ):
# configurations
en_fig = 0 # enable figure
direct_read = 0 # perform direct read from SDRAM. use with caution above!
process_data = 1 # process data within the SoC
en_remote_dbg = False
en_remote_computing = True
pulse1_dtcl = 0.5 # useless with current code
pulse2_dtcl = 0.5 # useless with current code
pulse180_t1_int = 0
delay180_t1_int = 0
tx_sd_msk = 1 # 1 to shutdown tx opamp during reception, or 0 to keep it powered up during reception
en_dconv = 0 # enable downconversion in the fpga
dconv_fact = 4 # downconversion factor. minimum of 4.
echo_skip = 1 # echo skip factor. set to 1 for the ADC to capture all echoes
# additional configurations
timeObj = time_meas( True )
# error checker
if ( not ( len( cpmg_freq_list ) % 2 ) ):
print( "ERROR: please use odd n number for total different frequencies used inside cpmg_freq_list to ensure phase cycling works correctly." )
quit()
# instantiate nmr object
nmrObj = tunable_nmr_system_2018( client_data_folder, en_remote_dbg, en_remote_computing )
# system setup
nmrObj.initNmrSystem() # necessary to set the GPIO initial setting. Also fix the
nmrObj.assertControlSignal( nmrObj.PSU_15V_TX_P_EN_msk | nmrObj.PSU_15V_TX_N_EN_msk | nmrObj.PSU_5V_TX_N_EN_msk |
nmrObj.PSU_5V_ADC_EN_msk | nmrObj.PSU_5V_ANA_P_EN_msk |
nmrObj.PSU_5V_ANA_N_EN_msk )
# nmrObj.deassertControlSignal(
# nmrObj.PSU_15V_TX_P_EN_msk | nmrObj.PSU_15V_TX_N_EN_msk)
Vbias, Vvarac = find_Vbias_Vvarac_from_table ( nmrObj.client_path , cpmg_freq_list[0], nmrObj.S21_table )
nmrObj.setPreampTuning( Vbias, Vvarac )
Cpar, Cser = find_Cpar_Cser_from_table ( nmrObj.client_path , cpmg_freq_list[0], nmrObj.S11_table )
nmrObj.setMatchingNetwork( Cpar, Cser )
nmrObj.setMatchingNetwork( Cpar, Cser )
vbias_list = np.zeros( len( cpmg_freq_list ), dtype = float )
vvarac_list = np.zeros( len( cpmg_freq_list ), dtype = float )
c_series_list = np.zeros( len( cpmg_freq_list ), dtype = int )
c_shunt_list = np.zeros( len( cpmg_freq_list ), dtype = int )
for i in range ( 0, len( cpmg_freq_list ) ):
Vbias, Vvarac = find_Vbias_Vvarac_from_table ( nmrObj.client_path , cpmg_freq_list[i], nmrObj.S21_table )
Cpar, Cser = find_Cpar_Cser_from_table ( nmrObj.client_path , cpmg_freq_list[i], nmrObj.S11_table )
vbias_list[i] = Vbias
vvarac_list[i] = Vvarac
c_series_list[i] = Cser
c_shunt_list[i] = Cpar
# setting for WMP
nmrObj.assertControlSignal(
nmrObj.RX1_1L_msk | nmrObj.RX1_1H_msk | nmrObj.RX2_L_msk | nmrObj.RX2_H_msk | nmrObj.RX_SEL1_msk | nmrObj.RX_FL_msk | nmrObj.RX_FH_msk | nmrObj.PAMP_IN_SEL2_msk )
nmrObj.deassertControlSignal( nmrObj.RX1_1H_msk | nmrObj.RX_FH_msk ) # setting for UF
# nmrObj.deassertControlSignal( nmrObj.RX_FL_msk ) # setting for WMP
timeObj.setTimeSta()
# nmrObj.cpmgSequence( cpmg_freq, pulse1_us, pulse2_us, pulse1_dtcl, pulse2_dtcl, echo_spacing_us, scan_spacing_us, samples_per_echo, echoes_per_scan, init_adc_delay_compensation, number_of_iteration, ph_cycl_en, pulse180_t1_int, delay180_t1_int, tx_sd_msk, en_dconv, dconv_fact, echo_skip )
# nmrObj.cpmgSequence( cpmg_freq, pulse1_us, pulse2_us, pulse1_dtcl, pulse2_dtcl, echo_spacing_us, scan_spacing_us, samples_per_echo, echoes_per_scan, init_adc_delay_compensation, number_of_iteration, ph_cycl_en, pulse180_t1_int, delay180_t1_int, tx_sd_msk, en_dconv, dconv_fact, echo_skip )
nmrObj.cpmgSequenceMultifreq( pulse1_us, pulse2_us, pulse1_dtcl, pulse2_dtcl, echo_spacing_us, scan_spacing_us, multiscan_spacing_us, samples_per_echo, echoes_per_scan, init_adc_delay_compensation, number_of_iteration, ph_cycl_en, pulse180_t1_int, delay180_t1_int, tx_sd_msk, en_dconv, dconv_fact, echo_skip, cpmg_freq_list, c_series_list, c_shunt_list, vbias_list, vvarac_list )
datain = [] # set datain to 0 because the data will be read from file instead
timeObj.setTimeSto()
timeObj.reportTimeRel( "cpmgSequenceMultifreq" )
nmrObj.deassertControlSignal(
nmrObj.RX1_1H_msk | nmrObj.RX1_1L_msk | nmrObj.RX2_L_msk | nmrObj.RX2_H_msk | nmrObj.RX_SEL1_msk | nmrObj.RX_FL_msk | nmrObj.RX_FH_msk | nmrObj.PAMP_IN_SEL2_msk )
nmrObj.setMatchingNetwork( 0, 0 )
nmrObj.setPreampTuning( 0, 0 )
nmrObj.deassertControlSignal( nmrObj.PSU_15V_TX_P_EN_msk | nmrObj.PSU_15V_TX_N_EN_msk | nmrObj.PSU_5V_TX_N_EN_msk |
nmrObj.PSU_5V_ADC_EN_msk | nmrObj.PSU_5V_ANA_P_EN_msk | nmrObj.PSU_5V_ANA_N_EN_msk )
if ( process_data ):
# compute the generated data
if en_remote_computing: # copy remote files to local directory
cp_rmt_file( nmrObj.scp, nmrObj.server_data_folder, nmrObj.client_data_folder, "current_folder.txt" )
meas_folder = parse_simple_info( nmrObj.data_folder, 'current_folder.txt' )
for i in range ( 0, len( cpmg_freq_list ) ):
meas_folder[0] = meas_folder[0][:len( meas_folder[0] ) - 3] + "%03d" % i # change the meas_folder name to different folder names generated by the C programming. 25 is the character count before the last 3 digit number.
if en_remote_computing: # copy remote folder to local directory
cp_rmt_folder( nmrObj.scp, nmrObj.server_data_folder, nmrObj.client_data_folder, meas_folder[0] )
exec_rmt_ssh_cmd_in_datadir( nmrObj.ssh, "rm -rf " + meas_folder[0], nmrObj.server_data_folder ) # delete the file in the server
( a, a_integ, a0, snr, T2, noise, res, theta, data_filt, echo_avg, Df, t_echospace ) = compute_iterate( nmrObj,
nmrObj.data_folder, meas_folder[0], 0, 0, 0, direct_read, datain, en_fig , dconv_lpf_ord, dconv_lpf_cutoff_Hz )
def runExpt(cparVal, cserVal, minReflxTable):
if meas_time:
start_time = time.time()
nmrObj.assertControlSignal(nmrObj.RX_IN_SEL_2_msk
| nmrObj.PAMP_IN_SEL_RX_msk)
nmrObj.assertControlSignal(nmrObj.AMP_HP_LT1210_EN_msk
| nmrObj.PSU_15V_TX_P_EN_msk
| nmrObj.PSU_15V_TX_N_EN_msk)
# change matching network values (twice because sometimes it doesnt' work once due to transient
nmrObj.setMatchingNetwork(cparVal, cserVal)
nmrObj.setMatchingNetwork(cparVal, cserVal)
# do measurement
nmrObj.wobble(freqSta, freqSto, freqSpa, freqSamp)
# disable all to save power
nmrObj.deassertControlSignal(nmrObj.AMP_HP_LT1210_EN_msk
| nmrObj.PSU_15V_TX_P_EN_msk
| nmrObj.PSU_15V_TX_N_EN_msk)
nmrObj.deassertControlSignal(nmrObj.RX_IN_SEL_2_msk
| nmrObj.PAMP_IN_SEL_RX_msk)
if meas_time:
elapsed_time = time.time() - start_time
start_time = time.time() # reset the start time
print("### time elapsed for running wobble exec: %.3f" %
(elapsed_time))
# compute the generated data
meas_folder = parse_simple_info(data_parent_folder, 'current_folder.txt')
S11mV, S11_fmin, S11_fmax, S11_bw, minS11, minS11_freq = compute_wobble(
nmrObj, data_parent_folder, meas_folder[0], S11_min, en_fig, fig_num)
print(
'\t\tfmin={:0.3f} fmax={:0.3f} bw={:0.3f} minS11={:0.2f} minS11_freq={:0.3f} cparVal={:d} cserVal={:d}'
.format(S11_fmin, S11_fmax, S11_bw, minS11, minS11_freq, cparVal,
cserVal))
if meas_time:
elapsed_time = time.time() - start_time
print("### time elapsed for compute_wobble: %.3f" % (elapsed_time))
# update the table
minReflxTable = updateTable(minReflxTable, S11mV, cparVal, cserVal)
# move the measurement folder to the main folder
swfolder_ind = swfolder + '/' + str('Cp_[{:d}]__Cs_[{:d}]'.format(
cparVal, cserVal))
if en_fig:
shutil.move(data_parent_folder + '/' + meas_folder[0] + '/wobble.png',
swfolder + '/' +
str('plot_Cp_[{:d}]__Cs_[{:d}].png'.format(
cparVal, cserVal))) # move the figure
if keepRawData:
# write gain values to a file
RawDataFile = open(
swfolder +
'/S11_Cp_[{:d}]__Cs_[{:d}].txt'.format(cparVal, cserVal), 'w')
RawDataFile.write('freq(MHz)\t min-voltage(mV)\n')
RawDataFile.close()
with open(
swfolder +
'/S11_Cp_[{:d}]__Cs_[{:d}].txt'.format(cparVal, cserVal),
'a') as f:
for (a, b) in zip(freqSw, S11mV):
f.write('{:-8.3f},{:-8.3f}\n'.format(a, b))
shutil.rmtree(data_parent_folder + '/' +
meas_folder[0]) # move the data folder
else:
shutil.rmtree(data_parent_folder + '/' + meas_folder[0])
return S11mV, minS11_freq, minReflxTable
nmrObj.setMatchingNetwork(0, 0)
nmrObj.setPreampTuning(0, 0)
nmrObj.deassertControlSignal(nmrObj.PSU_15V_TX_P_EN_msk
| nmrObj.PSU_15V_TX_N_EN_msk
| nmrObj.PSU_5V_TX_N_EN_msk
| nmrObj.PSU_5V_ADC_EN_msk
| nmrObj.PSU_5V_ANA_P_EN_msk
| nmrObj.PSU_5V_ANA_N_EN_msk)
if (process_data):
# compute the generated data
if en_remote_computing: # copy remote files to local directory
cp_rmt_file(nmrObj.scp, nmrObj.server_data_folder,
nmrObj.client_data_folder, "current_folder.txt")
meas_folder = parse_simple_info(nmrObj.data_folder, 'current_folder.txt')
if en_remote_computing: # copy remote folder to local directory
cp_rmt_folder(nmrObj.scp, nmrObj.server_data_folder,
nmrObj.client_data_folder, meas_folder[0])
exec_rmt_ssh_cmd_in_datadir(
nmrObj.ssh, "rm -rf " + meas_folder[0],
nmrObj.server_data_folder) # delete the file in the server
(a, a_integ, a0, snr, T2, noise, res, theta, data_filt, echo_avg, Df,
t_echospace) = compute_iterate(nmrObj, nmrObj.data_folder, meas_folder[0],
0, 0, 0, direct_read, datain, en_fig,
dconv_lpf_ord, dconv_lpf_cutoff_kHz)
if (meas_time):
elapsed_time = time.time() - start_time
print("data processing time: %.3f" % (elapsed_time))
def runExpt( cparVal, cserVal, S11mV_ref, useRef ):
# useRef: use the pregenerated S11mV_ref as a reference to compute reflection. If this option is 0, then the compute_wobble will instead generated S11 in mV format instead of dB format
# global variable
global exptnum
global minReflxTable
global minReflxTable_tmp
exptnum = exptnum + 1
if meas_time:
start_time = time.time()
# enable power and signal path
nmrObj.assertControlSignal( nmrObj.RX1_2L_msk | nmrObj.RX_SEL2_msk | nmrObj.RX_FL_msk )
nmrObj.assertControlSignal( nmrObj.PSU_15V_TX_P_EN_msk | nmrObj.PSU_15V_TX_N_EN_msk | nmrObj.PSU_5V_TX_N_EN_msk |
nmrObj.PSU_5V_ADC_EN_msk | nmrObj.PSU_5V_ANA_P_EN_msk | nmrObj.PSU_5V_ANA_N_EN_msk )
# change matching network values (twice because sometimes it doesnt' work once due to transient
nmrObj.setMatchingNetwork( cparVal, cserVal )
nmrObj.setMatchingNetwork( cparVal, cserVal )
# do measurement
nmrObj.wobble( freqSta, freqSto, freqSpa, freqSamp )
# disable all to save power
nmrObj.deassertAll()
if meas_time :
elapsed_time = time.time() - start_time
start_time = time.time() # reset the start time
print( "### time elapsed for running wobble exec: %.3f" % ( elapsed_time ) )
# compute the generated data
meas_folder = parse_simple_info( data_parent_folder, 'current_folder.txt' )
S11dB, S11_fmin, S11_fmax, S11_bw, minS11, minS11_freq = compute_wobble( nmrObj, data_parent_folder, meas_folder[0], S11_min, S11mV_ref, useRef, en_fig, fig_num )
print( '\t\tfmin={:0.3f} fmax={:0.3f} bw={:0.3f} minS11={:0.2f} minS11_freq={:0.3f} cparVal={:d} cserVal={:d}'.format( S11_fmin, S11_fmax, S11_bw, minS11, minS11_freq, cparVal, cserVal ) )
if meas_time :
elapsed_time = time.time() - start_time
print( "### time elapsed for compute_wobble: %.3f" % ( elapsed_time ) )
# update the table
minReflxTable = updateTable( minReflxTable, S11dB, cparVal, cserVal )
minReflxTable_tmp = updateTable( minReflxTable_tmp, S11dB, cparVal, cserVal )
# move the measurement folder to the main folder
swfolder_ind = swfolder + '/' + str( 'Cp_[{:d}]__Cs_[{:d}]'.format( cparVal, cserVal ) )
if en_fig:
shutil.move( data_parent_folder + '/' + meas_folder[0] + '/wobble.png', swfolder + '/' + str( 'plt{:03d}_Cp_[{:d}]__Cs_[{:d}].png'.format( exptnum, cparVal, cserVal ) ) ) # move the figure
if keepRawData:
# write gain values to a file
RawDataFile = open( swfolder + '/S11_Cp_[{:d}]__Cs_[{:d}].txt'.format( cparVal, cserVal ), 'w' )
RawDataFile.write( 'freq(MHz)\t min-voltage(mV)\n' )
RawDataFile.close()
with open( swfolder + '/S11_Cp_[{:d}]__Cs_[{:d}].txt'.format( cparVal, cserVal ), 'a' ) as f:
for ( a, b ) in zip ( freqSw, S11dB ):
f.write( '{:-8.3f},{:-8.3f}\n' .format( a, b ) )
shutil.rmtree ( data_parent_folder + '/' + meas_folder[0] ) # remove the data folder
else:
shutil.rmtree( data_parent_folder + '/' + meas_folder[0] ) # remove the data folder
return S11dB, minS11_freq
