diff --git a/script/users/msft-constantinou_p/MultiRegionScan_msft_AllXPS.py b/script/users/msft-constantinou_p/MultiRegionScan_msft_AllXPS.py
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+++ b/script/users/msft-constantinou_p/MultiRegionScan_msft_AllXPS.py
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+"""
+repeated xps scans with reference sample
+
+usage
+=====
+
+1. set the NUMBER_OF_ITERATIONS
+2. set the REFERENCE_POSITION and SAMPLE_POSITION
+3. set the REGION parameters
+
+troubleshooting
+===============
+
+if the script runs through very quickly without measuring anything:
+check that all position values include a decimal point!!!
+
+"""
+
+# dummy scan (time series)
+MOTORS = [dummy]
+
+# number of cycles (integer - not decimal point!)
+# (actual number of cycles is + 1)
+NUMBER_OF_CYCLES = 1
+POSITIONS = [1., 10., NUMBER_OF_CYCLES]
+SCAN = 'lscan'
+
+# seconds to wait between positioning command and triggering the detector
+LATENCY = 0.0
+
+# region setup
+#
+# for each region, define a python dictionary with the following items.
+# optional items can be left unspecified and will default to the indicated values.
+# for swept mode, include 'elo', 'ehi', 'estep', 'iter' values, but do not include 'efix'.
+# for fixed mode, include 'efix' value, but do not include 'elo', 'ehi', 'estep', 'iter'.
+#
+# 'name': user-specific name of the region (for graph title and RegionName attribute in data file)
+# 'elo': lower kinetic energy boundary of the spectrum
+# 'ehi': upper kinetic energy boundary of the spectrum
+# 'estep': energy step size
+# 'efix': center kinetic energy in fixed mode
+# 'epass': pass energy
+# 'ephot': photon energy (default: unchanged)
+# 'tstep': dwell time in seconds
+# 'iter': number of iterations/sweeps (default 1)
+# 'cis': True = constant initial state (photoemission line), False = constant final state (Auger peak), (default False)
+# 'slit': exit slit (default: unchanged)
+# 'position': 'reference' or 'sample'
+
+REFERENCE_POSITION = {'X': 3.40,'Y': 8.17, 'Z': 113.50, 'Theta': -9., 'Tilt': -2.0, 'Phi': -90.}
+SAMPLE_POSITION = {'X': 3.45,'Y': 3.00, 'Z': 113.50, 'Theta': -9., 'Tilt': -2.0, 'Phi': -90.}
+
+# DEFINE THE REGIONS
+# -- Region A @ 70 eV (G1 600)
+REGION_A1 = {'name': 'MoEF', 'ephot': 70., 'elo': 64., 'ehi':67., 'estep': 0.02, 'epass': 20., 'tstep': 2.0, 'iter': 1, 'cis': False, 'position': 'reference'}
+REGION_A2 = {'name': 'In4d', 'elo': 44., 'ehi':51., 'estep':0.02, 'epass': 20., 'tstep': 1.0, 'iter': 1, 'cis': False, 'position': 'sample'}
+REGION_A3 = {'name': 'As3d', 'elo': 21., 'ehi':27., 'estep':0.02, 'epass': 20., 'tstep': 1.0, 'iter': 1, 'cis': False, 'position': 'sample'}
+REGION_A4 = {'name': 'Survey', 'elo': 10., 'ehi':70., 'estep':0.10, 'epass': 20., 'tstep': 1.0, 'iter': 1, 'cis': False, 'position': 'sample'}
+
+# -- Region B @ 578 eV (G2 1200)
+REGION_B1 = {'name': 'MoEF', 'ephot': 578., 'elo': 572., 'ehi':575., 'estep': 0.02, 'epass': 20., 'tstep': 2.0, 'iter': 1, 'cis': False, 'position': 'reference'}
+REGION_B2 = {'name': 'In4d', 'elo': 551., 'ehi':559., 'estep':0.02, 'epass': 20., 'tstep': 0.5, 'iter': 1, 'cis': False, 'position': 'sample'}
+REGION_B3 = {'name': 'As3d', 'elo': 529., 'ehi':535., 'estep':0.02, 'epass': 20., 'tstep': 0.5, 'iter': 1, 'cis': False, 'position': 'sample'}
+REGION_B4 = {'name': 'In3d', 'elo': 118., 'ehi':133., 'estep':0.02, 'epass': 20., 'tstep': 0.1, 'iter': 1, 'cis': False, 'position': 'sample'}
+# -- Region C @ 1050 eV (G2 1200)
+REGION_C1 = {'name': 'MoEF', 'ephot': 1050., 'elo': 1045., 'ehi':1047, 'estep':0.02, 'epass': 20., 'tstep': 2.0, 'iter': 1, 'cis': False, 'position': 'reference'}
+REGION_C2 = {'name': 'In4d', 'elo': 1025., 'ehi':1031., 'estep':0.02, 'epass': 20., 'tstep': 0.5, 'iter': 1, 'cis': False, 'position': 'sample'}
+REGION_C3 = {'name': 'As3d', 'elo': 1002., 'ehi':1007., 'estep':0.02, 'epass': 20., 'tstep': 0.5, 'iter': 1, 'cis': False, 'position': 'sample'}
+REGION_C4 = {'name': 'In3d', 'elo': 590., 'ehi':605., 'estep':0.02, 'epass': 20., 'tstep': 0.1, 'iter': 1, 'cis': False, 'position': 'sample'}
+# -- Region D @ 1050 eV (G2 1200)
+REGION_D1 = {'name': 'MoEF', 'ephot': 1050., 'elo': 1045., 'ehi':1047, 'estep':0.02, 'epass': 50., 'tstep': 2.0, 'iter': 1, 'cis': False, 'position': 'reference'}
+REGION_D2 = {'name': 'Survey', 'elo': 300., 'ehi':1050., 'estep':0.20, 'epass': 50., 'tstep': 0.1, 'iter': 1, 'cis': False, 'position': 'sample'}
+
+# CHOOSE THE REGIONS TO RUN
+## (G1 600)
+# REGIONS = [REGION_A1,REGION_A2,REGION_A3,REGION_A4]
+## (G2 1200)
+REGIONS = [REGION_B1,REGION_B2,REGION_B3,REGION_B4,REGION_C1,REGION_C2,REGION_C3,REGION_C4,REGION_D1,REGION_D2]
+
+# close beam shutter and turn off analyser at the end of the scan
+# True or False
+CLOSE_SHUTTER_AT_END = False
+
+
+# --- DO NOT EDIT BELOW THIS LINE! ---
+
+set_exec_pars(keep=False)
+set_exec_pars(compression=True)
+
+def check_region(region):
+    """
+    check region dictionary items and apply defaults where necessary
+    """
+    region['fixed'] = 'efix' in region
+    if region['fixed']:
+        region['elo'] = region['efix']
+        region['ehi'] = region['efix']
+    if 'iter' not in region:
+        region['iter'] = 1
+        print("region {0}: setting default iter = {1}".format(region['name'], region['iter']))
+    if 'cis' not in region:
+        region['cis'] = False
+        print("region {0}: setting default cis = {1}".format(region['name'], region['cis']))
+
+def move_to_position(pdict):
+    ManipulatorX.move(pdict['X'])
+    ManipulatorY.move(pdict['Y'])
+    ManipulatorZ.move(pdict['Z'])
+    ManipulatorTheta.move(pdict['Theta'])
+    ManipulatorTilt.move(pdict['Tilt'])
+    ManipulatorPhi.move(pdict['Phi'])
+
+class SpectrumReader(ReadonlyRegisterBase, ReadonlyRegisterArray):
+    """
+    pseudo-device class to acquire and read out a Scienta spectrum per region.
+
+    this devices starts the spectrum acquisition and organises the data file.
+    """
+    def initialize(self):
+        #super(SpectrumReader, self).initialize()
+        self.scan_index = -1
+
+    def create_datasets(self):
+        path = get_exec_pars().scanPath + self.region_name + "/"
+
+        self.channel_begin_dataset_name = path + "ScientaChannelBegin"
+        self.channel_end_dataset_name = path + "ScientaChannelEnd"
+        create_dataset(self.channel_begin_dataset_name, 'd')
+        create_dataset(self.channel_end_dataset_name, 'd')
+        if self.region['fixed']:
+            self.channel_center_dataset_name = path + "ScientaChannelCenter"
+            create_dataset(self.channel_center_dataset_name, 'd')
+        else:
+            self.step_energy_dataset_name = path + "ScientaStepEnergy"
+            create_dataset(self.step_energy_dataset_name, 'd')
+
+        if 'epass' in self.region:
+            self.pass_energy_dataset_name = path + "ScientaPassEnergy"
+            create_dataset(self.pass_energy_dataset_name, 'd')
+        if 'tstep' in self.region:
+            self.step_time_dataset_name = path + "ScientaStepTime"
+            create_dataset(self.step_time_dataset_name, 'd')
+        if 'iter' in self.region:
+            self.iterations_dataset_name = path + "ScientaIterations"
+            create_dataset(self.iterations_dataset_name, 'd')
+        if 'slit' in self.region:
+            self.slit_dataset_name = path + "ExitSlit"
+            create_dataset(self.slit_dataset_name, 'd')
+        if 'position' in self.region:
+            position_names = {key:path + "Position"+ key for key in ['X','Y','Z','Theta','Tilt','Phi']}
+            self.position_dataset_names = position_names
+            for datanames in self.position_dataset_names.values():
+                create_dataset(datanames, 'd')
+
+    def setup(self):
+        # print("spectrum.setup")
+        if self.scan_index != get_exec_pars().index:
+            self.scan_index = get_exec_pars().index
+            self.create_datasets()
+
+        print "scan {0}, region {1} ({2})".format(self.scan_index, self.region_index, self.region['name'])
+        
+        edelta = 0.0
+        try:
+            ephot = self.region['ephot']
+            Eph.move(ephot)
+        except KeyError:
+            ephot = Eph.take(100)
+
+        if isinstance(ephot, float) and ephot > 0.:
+            try:
+                if self.region['cis']:
+                    edelta = ephot - self.ephot_start
+            except AttributeError:
+                self.ephot_start = ephot
+
+        elo = self.region['elo'] + edelta
+        ehi = self.region['ehi'] + edelta
+
+        if self.region['fixed']:
+            Scienta.setAcquisitionMode(ch.psi.pshell.epics.Scienta.AcquisitionMode.Fixed)
+            Scienta.centerEnergy.write(elo)
+            append_dataset(self.channel_center_dataset_name, elo)
+        else:
+            Scienta.setAcquisitionMode(ch.psi.pshell.epics.Scienta.AcquisitionMode.Swept)
+            Scienta.lowEnergy.write(elo)
+            Scienta.highEnergy.write(ehi)
+            Scienta.stepSize.write(self.region['estep'])
+            append_dataset(self.step_energy_dataset_name, self.region['estep'])
+
+        try:
+            Scienta.setPassEnergy(int(self.region['epass']))
+            append_dataset(self.pass_energy_dataset_name, self.region['epass'])
+        except KeyError:
+            pass
+
+        try:
+            Scienta.stepTime.write(self.region['tstep'])
+            append_dataset(self.step_time_dataset_name, self.region['tstep'])
+        except KeyError:
+            pass
+
+        try:
+            Scienta.setIterations(self.region['iter'])
+            append_dataset(self.iterations_dataset_name, self.region['iter'])
+        except KeyError:
+            pass
+
+        try:
+            ExitSlit.write(self.region['slit'])
+            append_dataset(self.slit_dataset_name, self.region['slit'])
+        except KeyError:
+            pass
+            
+        if self.region['position'] == 'sample':
+            move_to_position(SAMPLE_POSITION)
+
+            for name in SAMPLE_POSITION.keys():
+                append_dataset(self.position_dataset_names[name], SAMPLE_POSITION[name])
+
+        elif self.region['position'] == 'reference':
+            move_to_position(REFERENCE_POSITION)
+
+            for name in REFERENCE_POSITION.keys():
+                append_dataset(self.position_dataset_names[name], SAMPLE_POSITION[name])
+
+        Scienta.update()
+
+    def read(self):
+        # print("spectrum.read")
+        global current_region_index
+        current_region_index = self.region_index
+        self.setup()
+        # print("Acquiring region {0}.".format(self.region['name']))
+        trig_scienta()
+        time.sleep(0.1)
+        sp = Scienta.getSpectrum().read()
+        append_dataset(self.channel_begin_dataset_name, Scienta.getChannelBegin().getValue())
+        append_dataset(self.channel_end_dataset_name, Scienta.getChannelEnd().getValue())
+        return sp
+
+    def getSize(self):
+        # this is called before the scan starts - we have to predict the spectrum size
+        # wrong values don't seem to affect the data files, however
+        if self.region['fixed']:
+            nx = 1066
+        else:
+            nx = int((self.region['ehi'] - self.region['elo']) / self.region['estep']) + 1
+        return nx
+
+
+class ImageReader(ReadonlyRegisterBase, ReadonlyRegisterMatrix):
+    """
+    pseudo-device class to read out the Scienta image per region.
+
+    this device just reads out the Scienta image that has been acquired by SpectrumReader.
+    """
+    def read(self):
+        # print("image.read")
+        return Scienta.getDataMatrix().read()
+
+    def getWidth(self):
+        # this is called before the scan starts - we have to predict the spectrum size
+        # wrong values don't seem to affect the data files, however
+        if self.region['fixed']:
+            nx = 1066
+        else:
+            nx = int((self.region['ehi'] - self.region['elo']) / self.region['estep']) + 1
+        return nx
+
+    def getHeight(self):
+        # this is called before the scan starts - the number of slices is an independent parameter
+        ny = Scienta.slices.read()
+        return ny
+
+class SimpleDeviceReader(Readable):
+    """
+    pseudo-device class to read out another device once per region.
+
+    the device must be set assigned to the source attribute.
+    """
+    def read(self):
+        return self.source.read()
+
+
+def setup_live_plots(regions):
+    global live_plots
+    global current_region_index
+    names = [region['name'] for region in regions]
+    live_plots = plot(None, names, title="Live Spectra")
+    current_region_index = 0
+
+def update_live_plots():
+    global live_plots
+    global current_region_index
+    try:
+        while get_context().state.running:
+            y = Scienta.spectrum.take(100)
+            x = Scienta.spectrumX
+            try:
+                series = live_plots[current_region_index].getSeries(0)
+                series.setData(x, y)        
+            except IndexError:
+                pass
+            time.sleep(1.0)
+    finally:
+        print "Stopping live spectra"
+
+def do_scan(scan, motors, positions, regions, latency):
+    """
+    set up detectors and run the scan
+
+    for each region we have to add a SpectrumReader and an ImageReader pseudo-device to the SENSORS list.
+    the order SpectrumReader, ImageReader is important because the SpectrumReader triggers the Scienta,
+    whereafter the ImageReader reads the image.
+    """
+    global SENSORS
+    
+    SENSORS = []
+    
+    for (index, region) in enumerate(regions):
+        check_region(region)
+        
+        reader = SpectrumReader()
+        reader.region_index = index
+        reader.region_name = "region{0}".format(index + 1)
+        reader.region = region
+        reader.initialize()
+        set_device_alias(reader, reader.region_name + "/ScientaSpectrum")
+        SENSORS.append(reader)
+
+        image = ImageReader()
+        image.region_index = index
+        image.region = region
+        image.initialize()
+        set_device_alias(image, reader.region_name + "/ScientaImage")
+        SENSORS.append(image)
+
+        dev = SimpleDeviceReader()
+        dev.source = SampleCurrent
+        set_device_alias(dev, reader.region_name + "/SampleCurrent")
+        SENSORS.append(dev)
+
+        dev = SimpleDeviceReader()
+        dev.source = RefCurrent
+        set_device_alias(dev, reader.region_name + "/RefCurrent")
+        SENSORS.append(dev)
+        
+    adjust_sensors()
+    set_adc_averaging()
+
+    if scan == 'ascan':
+        ascan(motors, SENSORS, positions[0], positions[1], positions[2], latency, False, zigzag = True, before_read=wait_beam, after_read = after_readout)
+    elif scan == 'lscan':
+        lscan(motors, SENSORS, positions[0], positions[1], positions[2], latency, False, before_read=wait_beam, after_read = after_readout)
+    elif scan == 'vscan':
+        vscan(motors, SENSORS, positions, True, latency,False, before_read=wait_beam, after_read = after_readout)
+    else:
+        print('unknown scan mode {}'.format(scan))
+
+    for (index, region) in enumerate(regions):
+        set_attribute(get_exec_pars().scanPath + "region{0}/ScientaSpectrum".format(index + 1), "RegionName", region['name'])
+        set_attribute(get_exec_pars().scanPath + "region{0}/ScientaImage".format(index + 1), "RegionName", region['name'])
+    set_attribute(get_exec_pars().scanPath, "Regions", [region['name'] for region in regions])
+
+try:
+    setup_live_plots(REGIONS)
+    task = fork(update_live_plots)
+    do_scan(SCAN, MOTORS, POSITIONS, REGIONS, LATENCY)
+finally:
+    if CLOSE_SHUTTER_AT_END:
+        after_scan()
+