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)