script/templates/Scan2D.py

@@ -0,0 +1,70 @@
+"""
+Arguments:
+DRY_RUN = True
+RANGE_X (tuple (min, max))
+RANGE_Y  (tuple (min, max))
+STEPS  (tuple (x, y))
+EXPOSURES (list or None)
+SETTLING_TIME (double)
+ZIGZAG (BOOLEAN)
+COMPRESSION (BOOLEAN)
+"""
+
+#Deug
+if (get_exec_pars().args is None) and (get_exec_pars().script=="Scan2D"):
+    DRY_RUN = True
+    RANGE_X = [-10.0,10.0]
+    RANGE_Y = [-10.0,10.0]
+    EXPOSURES = None # [0.1, 0.5, 1.0]
+    STEPS = [5, 5] #Integers = number of steps, Float =  stepoSize
+    SETTLING_TIME = 0.1
+    ZIGZAG = True
+    COMPRESSION = False
+
+print DRY_RUN
+
+SENSORS = [sin, scienta.dataMatrix]
+MOTORS =  [m1, m2]
+RELATIVE = True
+START = [RANGE_X[0], RANGE_Y[0]]
+STOP = [RANGE_X[1], RANGE_Y[1]]
+ENABLED_PLOTS= [sin, scienta.dataMatrix]
+CUSTOM_PLOT_TYPES = {scienta.dataMatrix:"ch.psi.pshell.plot.MatrixPlotRenderer"}
+
+
+
+if EXPOSURES:
+    class exposure_index (Writable, Readable):
+        def __init__(self):            
+            self.pos=0.0
+                      
+        def read(self):
+            return self.pos
+    
+        def write(self, value): 
+            scienta.setExposure(EXPOSURES[int(value)])
+            self.pos = value
+            
+    class exposure (Readable):            
+        def read(self):
+            return scienta.exposure
+    
+    POSITIONERS = MOTORS + [exposure_index()]
+    _SENSORS = SENSORS  + [exposure()]
+    START = START + [0.0]
+    STOP = STOP + [float(len(POSITIONERS)-1)]   
+
+
+    
+
+if EXPOSURES:
+    r = ascan(POSITIONERS, _SENSORS  , START, STOP, STEPS + [1.0], \ 
+          SETTLING_TIME, RELATIVE, zigzag = ZIGZAG, \
+          compression = COMPRESSION, enabled_plots=ENABLED_PLOTS, \
+          save=False,keep=False, check_positions=False, plot_types=CUSTOM_PLOT_TYPES)
+else:
+    r = ascan(MOTORS, SENSORS , START, STOP, STEPS, \ 
+          SETTLING_TIME, RELATIVE, zigzag = ZIGZAG, \
+          compression = COMPRESSION, enabled_plots=ENABLED_PLOTS, \
+          save=False,keep=False, check_positions=False, plot_types=CUSTOM_PLOT_TYPES)  
+set_return(t)