Startup

devices/camtool.properties

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+#Fri Sep 01 16:50:52 CEST 2017
+colormap=Grayscale
+colormapAutomatic=false
+colormapMax=NaN
+colormapMin=NaN
+flipHorizontally=false
+flipVertically=false
+grayscale=false
+invert=false
+rescaleFactor=1.0
+rescaleOffset=0.0
+roiHeight=-1
+roiWidth=-1
+roiX=0
+roiY=0
+rotation=0.0
+rotationCrop=false
+scale=1.0
+spatialCalOffsetX=NaN
+spatialCalOffsetY=NaN
+spatialCalScaleX=NaN
+spatialCalScaleY=NaN
+spatialCalUnits=mm
+transpose=false

devices/pbps53_mx.properties

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+#Fri Sep 01 16:45:14 CEST 2017
+defaultSpeed=1.5
+estbilizationDelay=0
+hasEnable=false
+homingType=None
+maxSpeed=NaN
+maxValue=1.0
+minSpeed=NaN
+minValue=-1.0
+offset=0.0
+precision=3
+resolution=1.953125E-5
+rotation=false
+scale=1.0
+unit=mm

devices/pbps53_my.properties

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+#Fri Sep 01 16:45:14 CEST 2017
+defaultSpeed=1.5
+estbilizationDelay=0
+hasEnable=false
+homingType=None
+maxSpeed=NaN
+maxValue=1.0
+minSpeed=NaN
+minValue=-1.0
+offset=0.0
+precision=3
+resolution=1.953125E-5
+rotation=false
+scale=1.0
+unit=mm

script/PbpsPosXScan.py

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+from mathutils import fit_polynomial
+from mathutils import PolynomialFunction
+import math
+from plotutils import plot_function
+print "Starting"
+
+
+#Creating averaging devices
+av_hamp_x = create_averager(hamp_x, count = 10, interval = -1, name = "av_hamp_x")
+av_xbpm_x = create_averager(xbpm_x, count = 10, interval = -1, name = "av_xbpm_x")
+#av_hamp_x.monitored = True
+av_xbpm_x.monitored = True
+
+#The actuals scan
+r=lscan(pbpg_mx, [av_hamp_x, av_xbpm_x], -0.5, 0.5, 20, latency = 0.0)
+
+#Fitting 
+values = to_array(r.getReadable(0), 'd')
+positions = r.getPositions(0)
+pars_polynomial = (a0, a1) = fit_polynomial(values, positions, 1)
+
+#Writing metadata to data file
+path = get_exec_pars().scanPath
+set_attribute(path, "a0", a0)      
+set_attribute(path, "a1", a1)      
+#set_attribute(path, "a2", a2)      
+
+#Plotting fit and writing fitting parameters
+outp = "a0="+ ("%0.4f" % a0) + "a1="+  ("%0.4f" % a1)
+print outp
+p = get_plots()[0]
+p.addText((min(positions) + max(positions))/2, max(values), outp, Color.BLACK)
+plot_function(p, PolynomialFunction(pars_polynomial), "Fit",positions, show_points = False, show_lines = True, color = Color.BLUE)
+
+