def re_measure(cycle=1):
Temp = Ud = Ud_m = Id = 0.
if ag.temperature() >= 50.0:
print "Hi, temperature! Cool!"
ag.stop_output("all")
ag.state_output()
while ag.temperature() >= 40.0:
print "Current Temperature: %.2f, Delay: %d sec" % ( ag.temperature(),60 * MEASURE_DELAY )
print "Delay"
for sec in xrange( 12 * MEASURE_DELAY ):
print "%d, " % (sec*5),
time.sleep(5)
ag.start_output("all")
for i in xrange(cycle):
time.sleep( MEASURE_DELAY )
Temp += ag.temperature()
Ud += ag.source_value(1,"volt")
Ud_m += ag.measure(1,"volt")
Id += ag.measure(1,"cur")
cycle = float(cycle)
Measurements["Temp"] = Temp / cycle
Measurements["Ud"] = Ud / cycle
Measurements["Ud_m"] = Ud_m / cycle
Measurements["Id"] = Id / cycle
def re_measure(cycle=1):
Temp = Uc = Uc_m = Ic = Ue = Ue_m = Ib = 0.0
if ag.temperature() >= 50.0:
print "High temperature! Cooler!!!!"
ag.stop_output("all")
ag.state_output()
while ag.temperature() >= 40.0:
print "Current Temperature: %.2f, Delay: %d sec" % (ag.temperature(), 60 * DELAY_MEASURE)
print "Delay"
for sec in xrange(12 * DELAY_MEASURE):
print "%d, " % (sec * 5),
time.sleep(5)
ag.start_output("all")
for i in xrange(cycle):
time.sleep(DELAY_MEASURE)
Temp += ag.temperature()
Uc += ag.source_value(2, "volt")
Uc_m += ag.measure(2, "volt")
Ic += ag.measure(2, "cur")
Ue += ag.source_value(1, "volt")
Ue_m += ag.measure(1, "volt")
Ib += ag.measure(1, "cur")
cycle = float(cycle)
Measurements["Temp"] = Temp / cycle
Measurements["Uc"] = Uc / cycle
Measurements["Uc_m"] = Uc_m / cycle
Measurements["Ic"] = Ic / cycle
Measurements["Ue"] = Ue / cycle
Measurements["Ue_m"] = Ue_m / cycle
Measurements["Ib"] = Ib / cycle
def re_measure(cycle=1):
Temp = Uc = Uc_m = Ic = Ue = Ib = Ib_m = 0.
if ag.temperature() >= 50.0:
ag.cooler(36.0)
for i in xrange(cycle):
time.sleep( DELAY_MEASURE )
Temp += ag.temperature()
Uc += ag.source_value(2,"volt")
Uc_m += ag.measure(2,"volt")
Ic += ag.measure(2,"cur")
Ue += ag.measure(1,"volt")
Ib += ag.source_value(1,"c")
Ib_m += ag.measure(1,"cur")
cycle = float(cycle)
Measurements["Temp"] = Temp / cycle
Measurements["Uc"] = Uc / cycle
Measurements["Uc_m"] = Uc_m / cycle
Measurements["Ic"] = Ic / cycle
Measurements["Ue"] = Ue / cycle
Measurements["Ib_m"] = Ib_m / cycle
Measurements["Ib"] = Ib / cycle
#chan_min = min(x.chan for x in conversions)
chan_min = 101
chan_max = 126
print(chan_min)
chan_lst = [i for i in range(chan_min, chan_max+1)]
vheader = ["Channel Name", "Value"]
try:
while(True):
print("______________________________________________")
# Perform measurement
m_str = agilent.measure(adc, chan_min, chan_max+1)
m_lst = m_str.split(",")
vtable = []
for i in chan_lst:
conv_ind = [j for j, x in enumerate(conversions) if x.chan == i]
if(len(conv_ind) == 1):
this_conv = conversions[conv_ind[0]]
#print(this_conv.str, this_conv.eq(float(m_lst[i - chan_min])))
vtable.append([this_conv.str, str('%.3f' % this_conv.eq(float(m_lst[i - chan_min]))) + " " + this_conv.units])
else :
# prepare the directory structure
cur_dir = "Output/NoiseTest"
if not os.path.exists(cur_dir):
os.makedirs(cur_dir)
timestr = time.strftime("%Y%m%d-%H%M%S")
# Open the Agilent 34970A for voltage measurements
voltmet = agilent.init_serial()
# Open CSV file for writing output
csv_fn = cur_dir + "/" + timestr + ".csv"
csvfile = open(csv_fn, 'w', newline='')
csv_writer = csv.writer(csvfile)
#for j in range(0, num_meas): # Take intensity measurements
while True:
data = []
raw = agilent.measure(voltmet)
rawlist = raw.split(",")
for datum in rawlist:
#print(datum)
data.append(datum)
csv_writer.writerow(data) # write next row of data to file
csvfile.flush()
csvfile.close() # Close CSV file
input("Press Enter to quit...")
# Move the motor to the new position and wait for completion
motor.position = start_pos + num * dx
sleep(0.2)
while (motor.status_in_motion_forward or motor.status_in_motion_reverse
or motor.status_in_motion_jogging_forward
or motor.status_in_motion_jogging_reverse
or motor.status_in_motion_homing):
sleep(0.1)
#motor.print_state()
# Take the intesity measurements
data = []
data.append(str(motor.position))
for j in range(0, num_meas): # Take intensity measurements
raw = agilent.measure(voltmet, 101, 101)
rawlist = raw.split(",")
for k in range(0, len(rawlist)):
if k < 3: # photodiode measurement
data.append(rawlist[k])
else:
data.append(steinhart(rawlist[k]))
csv_writer.writerow(data) # write next row of data to file
csvfile.flush()
csvfile.close() # Close CSV file
[cont_loop, start_pos, end_pos, num_steps, num_meas,
iteration] = eng.complete_align_single(csv_fn,
iteration,
os.makedirs(exp_dir)
# Open the Agilent 34970A for voltage measurements
voltmet = agilent.init_serial()
csv_fn = exp_dir + "/data.csv"
csvfile = open(csv_fn, 'w', newline='')
csv_writer = csv.writer(csvfile)
start_time = time.time()
dif = 0
while dif < duration:
data = []
raw = agilent.measure(voltmet, 104, 114)
rawlist = raw.split(",")
for k in range(0, (len(rawlist) + 1)):
if k == 0: # photodiode & Vin measurement
data.append(rawlist[k])
elif k == 11:
dif = time.time() - start_time
data.append(dif)
else:
data.append(steinhart(float(rawlist[k]), float(rawlist[0])))
sleep(1.0)
csv_writer.writerow(data) # write next row of data to file
csvfile.flush()
eng.temp_long(csv_fn, nargout=0)
# Make sure the motor isn't going to be damaged by the move
if(motor.status_motor_current_limit_reached or motor.status_motion_error or motor.status_forward_hardware_limit_switch_active or motor.status_reverse_hardware_limit_switch_active):
sys.exit("Z812B encountered an error")
# Move the motor to the new position and wait for completion
motor.position = start_pos + num * dx
sleep(0.2)
while (motor.status_in_motion_forward or motor.status_in_motion_reverse or motor.status_in_motion_jogging_forward or motor.status_in_motion_jogging_reverse or motor.status_in_motion_homing):
sleep(0.1)
#motor.print_state()
# Take the intesity measurements
data = []
data.append(str(motor.position))
for j in range(0, 1): # Take intensity measurements
raw = agilent.measure(voltmet,102,102)
rawlist = raw.split(",")
for datum in rawlist:
#print(datum)
data.append(datum)
csv_writer.writerow(data) # write next row of data to file
csvfile.flush()
csvfile.close() # Close CSV file
[cont_loop, start_pos, end_pos, num_steps, num_meas, iteration] = eng.complete_align_single(csv_fn, iteration,grating_num,grating_type, nargout=6)
cont_loop = int(cont_loop)
num_steps = int(num_steps)