diff --git a/pylot/core/analysis/magnitude.py b/pylot/core/analysis/magnitude.py
index 867a302d..c1eee9cd 100644
--- a/pylot/core/analysis/magnitude.py
+++ b/pylot/core/analysis/magnitude.py
@@ -215,6 +215,8 @@ class LocalMagnitude(Magnitude):
         th = np.arange(0, len(sqH) * dt, dt)
         # get maximum peak within pick window
         iwin = getsignalwin(th, t0 - stime, self.calc_win)
+        ii = min([iwin[len(iwin)-1], len(th)])
+        iwin = iwin[0:ii]
         wapp = np.max(sqH[iwin])
         if self.verbose:
             print("Determined Wood-Anderson peak-to-peak amplitude for station {0}: {1} "
diff --git a/pylot/core/pick/picker.py b/pylot/core/pick/picker.py
index a6cd7452..ebf737a5 100644
--- a/pylot/core/pick/picker.py
+++ b/pylot/core/pick/picker.py
@@ -212,6 +212,14 @@ class AICPicker(AutoPicker):
                 self.Data[0].data = self.Data[0].data * 1000000
             # get signal window
             isignal = getsignalwin(self.Tcf, self.Pick, self.TSNR[2])
+            ii = min([isignal[len(isignal)-1], len(self.Tcf)])
+            isignal = isignal[0:ii]
+            try:
+               aic[isignal]
+            except IndexError as e:
+               msg = "Time series out of bounds! {}".format(e)
+               print(msg)
+               return
             # calculate SNR from CF
             self.SNR = max(abs(aic[isignal] - np.mean(aic[isignal]))) / \
                        max(abs(aic[inoise] - np.mean(aic[inoise])))