diff --git a/script/scans/SampleSearch.py b/script/scans/SampleSearch.py
index e7bc8d1..b7cb4aa 100644
--- a/script/scans/SampleSearch.py
+++ b/script/scans/SampleSearch.py
@@ -2,10 +2,10 @@ import mathutils
 import plotutils
 
 
-X_MIN = scx.minValue
-X_MAX = scx.maxValue
-Y_MIN = scy.minValue
-Y_MAX = scy.maxValue
+X_MIN = scx.minValue / 2
+X_MAX = scx.maxValue / 2
+Y_MIN = scy.minValue / 2
+Y_MAX = scy.maxValue / 2
 
 SIMULATION =  True
 Y_STEP = 0.125
@@ -19,7 +19,7 @@ X_MIN, X_MAX, Y_MIN, Y_MAX = float(X_MIN), float(X_MAX), float(Y_MIN), float(Y_M
 step=0
 for y in frange(Y_MIN, Y_MAX, Y_STEP):   
     scy.move(y)
-    scan_range = [scx.minValue, scx.maxValue] if (step % 0==0) else [scx.maxValue, scx.minValue]
+    scan_range = [X_MIN, X_MAX] if (step % 2==0) else [X_MAX, X_MIN]
     r = cscan(scx, sensor, scan_range[0], scan_range[1], 0.01, latency = DIODE_SETTLING_TIME)
 
     try:
@@ -42,7 +42,7 @@ for y in frange(Y_MIN, Y_MAX, Y_STEP):
         print "Invalid x fit for y=", y
     step += 1
 
-r = cscan(scy, sensor, scy.minValue, scy.maxValue, 0.01, latency = DIODE_SETTLING_TIME)
+r = cscan(scy, sensor, Y_MIN, Y_MAX, 0.01, latency = DIODE_SETTLING_TIME)
 xdata = enforce_monotonic(r.getPositions(0))
 ydata = r.getReadable(0)
 (offset, normalization, mean_val, sigma) = mathutils.fit_gaussian_offset(ydata, xdata)