def do_measurement(phases, ontime=1, offtime=12):
voltages = table.get_voltages(phases)
dac.write_voltages(voltages)
print 'warming up...'
for j in range(ontime):
fpga.read()
counts = dict(zip(fpga.labels, fpga.read()))
dac.zero()
print 'cooling'
for j in range(offtime):
fpga.read()
return counts
def do_measurement(phases, ontime=1, offtime=12):
voltages=table.get_voltages(phases)
dac.write_voltages(voltages)
print 'warming up...'
for j in range(ontime):
fpga.read()
counts=fpga.read()
dac.zero()
print 'cooling'
for j in range(offtime):
fpga.read()
return counts
def do_experiment(voltages, ontime=2, offtime=12):
dac.write_voltages(voltages)
print 'warming up...',
for j in range(ontime):
fpga.read()
counts=fpga.read()
dac.zero()
print 'cooling...',
for j in range(offtime):
fpga.read()
# Get c00, c01, c10, c11
coincidences=np.array(counts[8:12])
accidentals=np.array([counts[12], counts[17], counts[16], counts[13]])
corrected_counts=coincidences-accidentals
total_counts=np.sum(corrected_counts)
print 'total count rate %d' % total_counts
probabilities_expt=corrected_counts/float(np.sum(corrected_counts))
return probabilities_expt, total_counts
def do_experiment(voltages, ontime=2, offtime=12):
dac.write_voltages(voltages)
print 'warming up...',
for j in range(ontime):
fpga.read()
counts = fpga.read()
dac.zero()
print 'cooling...',
for j in range(offtime):
fpga.read()
# Get c00, c01, c10, c11
coincidences = np.array(counts[8:12])
accidentals = np.array([counts[12], counts[17], counts[16], counts[13]])
corrected_counts = coincidences - accidentals
total_counts = np.sum(corrected_counts)
print 'total count rate %d' % total_counts
probabilities_expt = corrected_counts / float(np.sum(corrected_counts))
return probabilities_expt, total_counts