Remove filtering and downsampling process
Filtering and downsampling process in `satrec_res.py` was unnecessary and has been removed alongside similar modifications made in `satrec_exp.py`.
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@ -11,22 +11,21 @@ def experiment(): # saturation-recovery experiment
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pars = {}
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pars['P90'] = 1.7e-6 # 90-degree pulse length (s)
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pars['SF'] = 338.7e6 # spectrometer frequency (Hz)
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pars['O1'] = -60e3 # offset from SF (Hz)
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pars['SW'] = 200e3 # spectral window (Hz)
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pars['SW'] = 200e3 # sampling rate (Hz)
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pars['SI'] = 1*256 # number of acquisition points
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pars['NS'] = 8 # number of scans
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pars['DS'] = 0 # number of dummy scans
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pars['TAU'] = 1 # delay for recovery (s)
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pars['DEAD1'] = 5e-6 # receiver dead time (s)
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pars['PHA'] = 100 # receiver phase (degree)
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pars['PHA'] = 0 # receiver phase (degree)
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# -*- these aren't variable: -*-
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pars['NECH'] = 40 # number of saturation pulses
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pars['NECH'] = 7 # number of saturation pulses
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pars['D1'] = 100e-3 # starting interval in saturation sequence (s)
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pars['D2'] = 1e-4 # end interval in saturation sequence (s)
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pars['DATADIR'] = '/home/fprak/Students/' # data directory
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pars['OUTFILE'] = None # output file name
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# specify a variable parameter (optional):
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# specify a variable parameter (optional):
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pars['VAR_PAR'] = 'TAU' # variable parameter name (a string)
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start = 1e-3 # starting value
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stop = 5e-0 # end value
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@ -34,7 +33,7 @@ def experiment(): # saturation-recovery experiment
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log_scale = True # log scale flag
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stag_range = False # staggered range flag
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# check parameters for safety:
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# check parameters for safety:
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if pars['PHA'] < 0:
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pars['PHA'] = 360 + pars['PHA']
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@ -47,8 +46,7 @@ def experiment(): # saturation-recovery experiment
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raise Exception("Pulse too long!!!")
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if pars['NS']%4 != 0:
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pars['NS'] = int(round(pars['NS'] / 4) + 1) * 4
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print 'Number of scans changed to ',pars['NS'],' due to phase cycling'
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print 'Number of scans should be changed to ',pars['NS'],' due to phase cycling'
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if pars['D1'] < pars['D2']:
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raise Exception("D1 must be greater than D2")
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@ -57,7 +55,7 @@ def experiment(): # saturation-recovery experiment
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if sat_length > 1.:
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raise Exception("Saturation sequence too long!!!")
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# start the experiment:
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# start the experiment:
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if var_key:
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# this is an arrayed experiment:
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if log_scale:
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@ -117,7 +115,6 @@ def satrec_experiment(pars, run):
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# read in variables:
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P90 = pars['P90']
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SF = pars['SF']
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O1 = pars['O1']
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DEAD1 = pars['DEAD1']
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NECH = pars['NECH']
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D1 = pars['D1']
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@ -128,20 +125,13 @@ def satrec_experiment(pars, run):
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PH2 = pars['PH2'][run%len(pars['PH2'])]
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PHA = pars['PHA']
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# set sampling parameters:
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SI = pars['SI']
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SW = pars['SW']
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while SW <= 10e6 and SI < 256*1024:
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SI *= 2
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SW *= 2
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# set variable delay list for saturation pulses:
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vdlist = log_range(D2, D1, NECH-1)
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# run the pulse sequence:
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# saturation:
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e.set_frequency(SF+O1, phase=PH1) # set frequency and phase for saturation pulses
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e.set_frequency(SF, phase=PH1) # set frequency and phase for saturation pulses
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e.ttl_pulse(TXEnableDelay, value=TXEnableValue) # enable RF amplifier
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e.ttl_pulse(P90, value=TXEnableValue|TXPulseValue) # apply 90-degree pulse
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for delay in vdlist[::-1]:
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@ -149,9 +139,9 @@ def satrec_experiment(pars, run):
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e.ttl_pulse(TXEnableDelay, value=TXEnableValue) # enable RF amplifier
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e.ttl_pulse(P90, value=TXEnableValue|TXPulseValue) # apply 90-degree pulse
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e.set_phase(PH3) # set phase for measuring pulse
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# recovery:
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e.wait(TAU) # recovery time
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e.set_phase(PH3) # set phase for measuring pulse
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# detection:
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e.ttl_pulse(TXEnableDelay, value=TXEnableValue) # enable RF amplifier
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@ -29,42 +29,6 @@ def result():
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# get actual sampling rate of timesignal:
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sampling_rate = timesignal.get_sampling_rate()
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# get user-defined spectrum width:
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spec_width = pars['SW']
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# specify cutoff frequency, in relative units:
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cutoff = spec_width / sampling_rate
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if cutoff < 1: # no filter applied otherwise
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# number of filter's coefficients:
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numtaps = 29
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# use firwin to create a lowpass FIR filter:
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fir_coeff = firwin(numtaps, cutoff)
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# downsize x according to user-defined spectral window:
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skip = int(sampling_rate / spec_width)
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timesignal.x = timesignal.x[::skip]
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for i in range(2):
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# apply the filter to ith channel:
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timesignal.y[i] = lfilter(fir_coeff, 1.0, timesignal.y[i])
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# zeroize first N-1 "corrupted" samples:
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timesignal.y[i][:numtaps-1] = 0.0
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# circular left shift of y:
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timesignal.y[i] = roll(timesignal.y[i], -(numtaps-1))
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# downsize y to user-defined number of samples (SI):
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timesignal.y[i] = timesignal.y[i][::skip]
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# update the sampling_rate attribute of the signal's:
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timesignal.set_sampling_rate(spec_width)
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# ----------------------------------------------------
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# rotate timesignal according to current receiver's phase:
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timesignal.phase(pars['rec_phase'])
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