def scan_device():
np1 = int(scan1_np.value)
if np1 <= 0:
raise Exception, 'invalid number of points for dimension 1'
np2 = int(scan2_np.value)
if np2 <= 0:
raise Exception, 'invalid number of points for dimension 2'
motor1 = device1_name.value
motor2 = device2_name.value
start1 = scan1_start.value
stop1 = scan1_stop.value
start2 = scan2_start.value
stop2 = scan2_stop.value
if np1 == 1:
step1 = 0.
else:
step1 = (stop1 - start1) * 1.0 / (np1 - 1)
if np2 == 1:
step2 = 0.
else:
step2 = (stop2 - start2) * 1.0 / (np2 - 1)
mode = scan_mode.value
preset = scan_preset.value
slog('*********** scan started ***********')
rev = False
for i in xrange(np1):
pos1 = start1 + i * step1
slog('drive ' + motor1 + ' ' + str(pos1))
sics.drive(motor1, pos1)
for j in xrange(np2):
if rev:
pos2 = stop2 - j * step2
else:
pos2 = start2 + j * step2
slog('drive ' + motor2 + ' ' + str(pos2))
sics.drive(motor2, pos2)
slog('collect data with ' + motor1 + '=' + str(pos1) + ' and ' +
motor2 + '=' + str(pos2) + ' on "' + mode + '" for preset of ' +
str(preset))
sicsext.runscan('dummy_motor', 0, 0, 1,
mode, preset, None, True, \
'HISTOGRAM_XY')
rev = not rev
slog('*********** scan finished ***********')
def scan_device():
aname = device_name.value
try:
if DEBUGGING :
aname = 'dummy_motor'
except:
pass
axis_name.value = aname
slog('runscan ' + str(device_name.value) + ' ' + str(scan_start.value) + ' ' + str(scan_stop.value) \
+ ' ' + str(number_of_points.value) + ' ' + str(scan_mode.value) + ' ' + str(scan_preset.value))
sicsext.runscan(device_name.value, scan_start.value, scan_stop.value, number_of_points.value,
scan_mode.value, scan_preset.value, load_experiment_data, True, \
'HISTOGRAM_XY')
time.sleep(2)
peak_pos.value = float('NaN')
FWHM.value = float('NaN')
fit_curve()
def scan_device():
aname = device_name.value
try:
if DEBUGGING:
aname = 'dummy_motor'
except:
pass
axis_name.value = aname
slog('runscan ' + str(device_name.value) + ' ' + str(scan_start.value) + ' ' + str(scan_stop.value) \
+ ' ' + str(number_of_points.value) + ' ' + str(scan_mode.value) + ' ' + str(scan_preset.value))
sicsext.runscan(device_name.value, scan_start.value, scan_stop.value, number_of_points.value,
scan_mode.value, scan_preset.value, load_experiment_data, True, \
'HISTOGRAM_T')
time.sleep(2)
peak_pos.value = float('NaN')
FWHM.value = float('NaN')
if auto_fit.value:
fit_curve()
def scan_device():
aname = device_name.value
try:
if DEBUGGING :
aname = 'dummy_motor'
except:
pass
axis_name.value = aname
slog('runscan ' + str(device_name.value) + ' ' + str(scan_start.value) + ' ' + str(scan_stop.value) \
+ ' ' + str(number_of_points.value) + ' ' + str(scan_mode.value) + ' ' + str(scan_preset.value))
sicsext.runscan(device_name.value, scan_start.value, scan_stop.value, number_of_points.value,
scan_mode.value, scan_preset.value, load_experiment_data, True, \
'HISTOGRAM_XY')
time.sleep(2)
peak_pos.value = float('NaN')
FWHM.value = float('NaN')
if auto_fit.value :
fit_curve()
footer = 'POS_OF_PEAK=' + ('%.3f' % peak_pos.value) + '; ' \
+ 'FWHM=' + ('%.3f' % FWHM.value)
n_logger.log_plot(Plot1, footer = footer)
else :
n_logger.log_plot(Plot1)
