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New experimetns added

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Oleg Petrov
2015-09-30 11:09:36 +00:00
parent 58f9ee63f6
commit d9beb94422
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194
Scripts/EXSY_2H/op_exsy2h_exp.py Normal file
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# -*- coding: iso-8859-1 -*-
TXEnableDelay = 0.5e-6
TXEnableValue = 0b0001 # TTL line blanking RF amplifier (bit 0)
TXPulseValue = 0b0010 # TTL line triggering RF pulses (bit 1)
ADCSensitivity = 1 # voltage span for ADC
def experiment(): # 2H Exchange Spectroscopy (2H EXSY) experiment [JMR 79, 269-290 (1988)]
# Cosine and sine modulated signals are acquired sequentially by switching
# between Zeeman order and spin-alignment phase lists. The signals are
# processed into a pure absorption mode 2D spectrum according to scheme by
# [Bluemich, Schmidt, and Spiess, JMR 79, 269-290 (1988)]. Prior to writing
# in a file (Tecmag), the sine-modulated signal is rotated by 90<39>, thus
# enabling 2D processing via a regular States algorithm with NMRnotebook
# or like NMR software.
# set up acquisition parameters:
pars = {}
pars['P90'] = 2.7e-6 # 90<39>-pulse length (s)
pars['SF'] = 46.140e6 # spectrometer frequency (Hz)
pars['O1'] = 1000 # offset from SF (Hz)
pars['SW'] = 125e3 # spectral window (Hz)
pars['SI1'] = 80 # number of (complex) data points in F1 (2nd dimension)
pars['SI2'] = 1*256 # number of (complex) data points in F2
pars['D3'] = 10e-6 # position of refocusing 90<39>-pulse, Delta (s)
pars['D4'] = 2e-6 # pre-aquisition delay (s)
pars['D8'] = 3e-3 # mixing time, tm (s)
pars['NS'] = 512 # number of scans
pars['DS'] = 0 # number of dummy scans
pars['RD'] = 0.2 # delay between scans (s)
pars['PHA'] = 65 # receiver reference phase (degree)
pars['DATADIR'] = '/home/mathilda/Desktop/Oleg/temp/' # data directory
pars['OUTFILE'] = 'dso_320K' # output file name
# specify a variable parameter (optional):
pars['VAR_PAR'] = None # variable parameter's name (a string)
start = 80 # starting value
stop = 128 # end value
steps = 2 # number of values
log_scale = False # log scale flag
stag_range = False # staggered range flag
# check parameters for safety:
if pars['PHA'] < 0:
pars['PHA'] = 360 + pars['PHA']
if pars['P90'] > 20e-6:
raise Exception("Pulse too long!!!")
# check whether a variable parameter is named:
var_key = pars.get('VAR_PAR')
if var_key == 'P90' and (start > 20e-6 or stop > 20e-6):
raise Exception("Pulse too long!!!")
if pars['NS']%16 != 0:
pars['NS'] = int(round(pars['NS'] / 32) + 1) * 32
print 'Number of scans changed to ', pars['NS'], ' due to phase cycling'
# start the experiment:
if var_key:
# this is an arrayed experiment:
if log_scale:
array = log_range(start,stop,steps)
else:
array = lin_range(start,stop,steps)
if stag_range:
array = staggered_range(array, size = 2)
# estimate the experiment time:
if var_key == 'D8':
seconds = (sum(array) + (.5*pars['SI1']/pars['SW'] + pars['RD']) * steps) * (pars['NS'] + pars['DS']) * 2*pars['SI1']
elif var_key == 'RD':
seconds = (sum(array) + (.5*pars['SI1']/pars['SW'] + pars['D8']) * steps) * (pars['NS'] + pars['DS']) * 2*pars['SI1']
else:
seconds = (.5*pars['SI1']/pars['SW'] + pars['D8'] + pars['RD']) * steps * (pars['NS']+ pars['DS']) * 2*pars['SI1']
m, s = divmod(seconds, 60)
h, m = divmod(m, 60)
print '%s%02d:%02d:%02d' % ('Experiment time estimated: ', h, m, s)
# loop for a variable parameter:
for index, pars[var_key] in enumerate(array):
print 'Arrayed experiment for '+var_key+': run = '+str(index+1)+\
' out of '+str(array.size)+': value = '+str(pars[var_key])
# loop for accumulation and sampling the indirect dimension F1:
for run in xrange((pars['NS']+pars['DS'])*2*pars['SI1']):
yield exsy2h_experiment(pars, run)
synchronize()
else:
# estimate the experiment time:
seconds = (.5*pars['SI1']/pars['SW'] + pars['D8'] + pars['RD']) * (pars['NS']+ pars['DS']) * 2*pars['SI1']
print 'sec ', seconds
m, s = divmod(seconds, 60)
h, m = divmod(m, 60)
print '%s%02d:%02d:%02d' % ('Experiment time estimated: ', h, m, s)
# loop for accumulation and sampling the indirect dimension F1:
for run in xrange((pars['NS']+pars['DS'])*2*pars['SI1']):
yield exsy2h_experiment(pars, run)
# the pulse program:
def exsy2h_experiment(pars, run):
e=Experiment()
dummy_scans = pars.get('DS')
if dummy_scans:
run -= dummy_scans
pars['PROG'] = 'exsy2h_experiment'
# 8-step phase cycle (1-21) modifided to deal with T1-recovery and extended for Re/Im imbalance)
pars['PH1'] = [0, 270, 0, 270, 180, 90, 180, 90] # 1st pulse (90<39>)
pars['PH3'] = [0, 90, 0, 90, 0, 90, 0, 90] # 2nd pulse (57.4<EFBFBD>)
pars['PH4'] = [0, 0, 180, 180, 270, 270, 90, 90] # 3rd pulse (57.4<EFBFBD>)
pars['PH5'] = [90, 90, 90, 90, 180, 180, 180, 180] # 4th pulse (90<39>)
pars['PH2'] = [0, 180, 180, 0, 90, 270, 270, 90] # receiver
# read in variables:
P90 = pars['P90']
P1 = pars['P90']*(54.7/90)
SF = pars['SF']
O1 = pars['O1']
RD = pars['RD']
D4 = pars['D4']
D8 = pars['D8']
D3 = pars['D3']
NS = pars['NS']
PH1 = pars['PH1'][run%len(pars['PH1'])]
PH3 = pars['PH3'][run%len(pars['PH3'])]
PH4 = pars['PH4'][run%len(pars['PH4'])]
PH5 = pars['PH5'][run%len(pars['PH5'])]
PH2 = pars['PH2'][run%len(pars['PH2'])]
PHA = pars['PHA']
# this is a part of phase cycling:
PH5 += (run/len(pars['PH5']))%2*180
PH1 += (run/len(pars['PH5']))%2*180
PH2 += (run/len(pars['PH5']))%2*180
# F1 sampling parameters:
IN0 = 1./pars['SW'] # t1 increment
# F1 sampling scheme:
PH3+= (run/(1*NS))%4*90 # phases are upgraded after every NS scans
PH4+= (run/(1*NS))%4*90
D0 = (run/(2*NS)) *IN0 # t1 is incremented after every 2*NS scans
# F2 sampling parameters:
SI2 = pars['SI2']
SW2 = pars['SW']
while SW2 <= 10e6 and SI2 < 256*1024:
SI2 *= 2
SW2 *= 2
# run the pulse sequence:
e.wait(RD) # relaxation delay between scans
e.set_frequency(SF+O1, phase=PH1)
e.ttl_pulse(TXEnableDelay, value=TXEnableValue)
e.ttl_pulse(P90, value=TXEnableValue|TXPulseValue) # 90<39>-pulse
e.wait(D0) # incremented delay, t1
e.set_phase(PH3)
e.ttl_pulse(TXEnableDelay, value=TXEnableValue)
e.ttl_pulse(P1, value=TXEnableValue|TXPulseValue) # 54.7<EFBFBD>-pulse
e.wait(D8) # mixing time, tm
e.set_phase(PH4)
e.ttl_pulse(TXEnableDelay, value=TXEnableValue)
e.ttl_pulse(P1, value=TXEnableValue|TXPulseValue) # 54.7<EFBFBD>-pulse
e.wait(D3) # refocusing delay, Delta
e.set_phase(PH5)
e.ttl_pulse(TXEnableDelay, value=TXEnableValue)
e.ttl_pulse(P90, value=TXEnableValue|TXPulseValue) # 90<39>-pulse
e.wait(TXEnableDelay)
e.set_phase(PHA)
e.wait(D3+D4) # pre-aquisition delay
e.record(SI2, SW2, sensitivity=ADCSensitivity) # acquisition
# write experiment parameters:
for key in pars.keys():
e.set_description(key, pars[key]) # acquisition parameters
e.set_description('run', run) # current scan
e.set_description('rec_phase', -PH2) # current receiver phase
return e

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Scripts/EXSY_2H/op_exsy2h_res.py Normal file
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# -*- coding: iso-8859-1 -*-
from numpy import *
from scipy.signal import *
from scipy.optimize import *
from scipy.fftpack import fft, ifft
from os import path, rename
def result():
measurement = MeasurementResult('Magnetization')
measurement_range = [0.0, 10e-6]
measurement_ranging = False
suffix = '' # output file name's suffix and...
counter = 0 # counter for arrayed 2D experiments
# npts = 0
# loop over the incoming results:
for timesignal in results:
if not isinstance(timesignal,ADC_Result):
continue
# read experiment parameters:
pars = timesignal.get_description_dictionary()
# ---------------- digital filter ------------------
# get actual sampling rate of timesignal:
sampling_rate = timesignal.get_sampling_rate()
# get user-defined spectrum width:
spec_width = pars['SW']
# specify cutoff frequency, in relative units:
cutoff = spec_width / sampling_rate
if cutoff < 1: # otherwise no filter applied
# number of filter's coefficients:
numtaps = 29
# use firwin to create a lowpass FIR filter:
fir_coeff = firwin(numtaps, cutoff)
# downsize x according to user-defined spectral window:
skip = int(sampling_rate / spec_width)
timesignal.x = timesignal.x[::skip]
for i in range(2):
# apply the filter to ith channel:
timesignal.y[i] = lfilter(fir_coeff, 1.0, timesignal.y[i])
# zeroize first N-1 "corrupted" samples:
timesignal.y[i][:numtaps-1] = 0.0
# circular left shift of y:
timesignal.y[i] = roll(timesignal.y[i], -(numtaps-1))
# downsize y to user-defined number of samples (SI):
timesignal.y[i] = timesignal.y[i][::skip]
# update the sampling_rate attribute of the signal's:
timesignal.set_sampling_rate(spec_width)
# ----------------------------------------------------
# rotate timesignal according to current receiver's phase:
timesignal.phase(pars['rec_phase'])
# provide timesignal to the display tab:
data['Current scan'] = timesignal
# accumulate...
if not locals().get('accu'):
accu = Accumulation()
# skip dummy scans, if any:
if pars['run'] < 0: continue
# add up:
accu += timesignal
# provide accumulation to the display tab:
data['Accumulation'] = accu
# check whether accumulation is complete:
# ------------------------------------------------------------------------------------
# The hypercomplex technique implies recording two data sets for each t1 value.
# One dataset (a cosine-modulated signal) is stored in odd records as Re, while
# the other dataset (a sine-modulated signal) in even records as Im, totally 2*SI1
# records. Henceforth, accu represents one such a record.
# ------------------------------------------------------------------------------------
if accu.n == pars['NS']:
# compute the initial phase of FID:
phi0 = arctan2(accu.y[1][0], accu.y[0][0]) * 180 / pi
if not 'ref' in locals(): ref = phi0
print 'phi0 = ', phi0
# rotate every other record by 90<39> so that States algorithm is applicable:
rec = (accu.job_id/accu.n)%(2*pars['SI1']) + 1
if rec%2 == 0:
accu.phase(90)
coeff = 1.5
accu.y[0] *= coeff # XY-balancing
accu.y[1] *= coeff
else: # baseline correction )))))
tmp = fft(accu.y[0]+1j*accu.y[1])
[start, stop] = len(accu.y[0])*array([0.4, 0.6])
tmp -= mean(tmp.real[start:stop])
tmp = ifft(tmp)
accu.y[0] = tmp.real
accu.y[1] = tmp.imag
# check whether it is an arrayed experiment:
var_key = pars.get('VAR_PAR')
if var_key:
# get variable parameter's value:
var_value = pars.get(var_key)
# provide signal recorded with this var_value to the display tab:
data['Accumulation'+"/"+var_key+"=%e"%(var_value)] = accu
# measure signal intensity vs. var_value:
if measurement_ranging == True:
[start, stop] = accu.get_sampling_rate() * array(measurement_range)
measurement[var_value] = sum(accu.y[0][int(start):int(stop)])
else:
# measurement[var_value] = sum(accu.y[0][0:31])
measurement[var_value+counter*1e-6] = sum(accu.y[0][0:31])
# provide measurement to the display tab:
data[measurement.get_title()] = measurement
# update the file name suffix:
counter2D = counter/(2*pars['SI1'])+1
suffix = '_' + str(counter2D)
counter += 1
# save accu if required:
outfile = pars.get('OUTFILE')
if outfile:
datadir = pars.get('DATADIR')
# write raw data in Tecmag format:
filename = datadir+outfile+suffix+'.tnt'
accu.write_to_tecmag(filename,\
nrecords=2*pars['SI1'],\
frequency=pars['SW']+pars['O1'])
# write parameters in a text file:
filename = datadir+outfile+suffix+'.par'
if path.exists(filename):
rename(filename, datadir+'~'+outfile+suffix+'.par')
fileobject = open(filename, 'w')
for key in sorted(pars.iterkeys()):
if key=='run': continue
if key=='rec_phase': continue
fileobject.write('%s%s%s'%(key,'=', pars[key]))
fileobject.write('\n')
fileobject.close()
# reset accumulation:
del accu
pass