diff --git a/script/jitter_scan.py b/script/jitter_scan.py
index 6b80e51..25cad79 100644
--- a/script/jitter_scan.py
+++ b/script/jitter_scan.py
@@ -273,14 +273,32 @@ set_attribute(path, "Saturation Power", satpower)
 pya.setStyle(pya.Style.ErrorY)
 pya.setLegendVisible(True)
 
-sy1 = LinePlotErrorSeries("saturated")
-pya.addSeries(sy1)
-sy1.setLinesVisible(False)
-sy1.appendData(1.0, ref_jit_amplt.sat.mean,  ref_jit_amplt.sat.min,  ref_jit_amplt.sat.max)
-sy1.appendData(2.0, iqm_jit_amplt.sat.mean,  iqm_jit_amplt.sat.min,  iqm_jit_amplt.sat.max)
-sy1.appendData(3.0, pre_jit_amplt.sat.mean,  pre_jit_amplt.sat.min,  pre_jit_amplt.sat.max)
-sy1.appendData(4.0, kly_jit_amplt.sat.mean,  kly_jit_amplt.sat.min,  kly_jit_amplt.sat.max)
-sy1.appendData(5.0, vsum_jit_amplt.sat.mean, vsum_jit_amplt.sat.min, vsum_jit_amplt.sat.max)
+sy1s = LinePlotErrorSeries("saturated")
+pya.addSeries(sy1s)
+sy1s.setLinesVisible(False)
+sy1s.appendData(1.0, ref_jit_amplt.sat.mean,  ref_jit_amplt.sat.min,  ref_jit_amplt.sat.max)
+sy1s.appendData(2.0, iqm_jit_amplt.sat.mean,  iqm_jit_amplt.sat.min,  iqm_jit_amplt.sat.max)
+sy1s.appendData(3.0, pre_jit_amplt.sat.mean,  pre_jit_amplt.sat.min,  pre_jit_amplt.sat.max)
+sy1s.appendData(4.0, kly_jit_amplt.sat.mean,  kly_jit_amplt.sat.min,  kly_jit_amplt.sat.max)
+sy1s.appendData(5.0, vsum_jit_amplt.sat.mean, vsum_jit_amplt.sat.min, vsum_jit_amplt.sat.max)
+
+sy1m5 = LinePlotErrorSeries("drive 5% below")
+pya.addSeries(sy1m5)
+sy1m5.setLinesVisible(False)
+sy1m5.appendData(1.1, ref_jit_amplt.m5.mean,  ref_jit_amplt.m5.min,  ref_jit_amplt.m5.max)
+sy1m5.appendData(2.1, iqm_jit_amplt.m5.mean,  iqm_jit_amplt.m5.min,  iqm_jit_amplt.m5.max)
+sy1m5.appendData(3.1, pre_jit_amplt.m5.mean,  pre_jit_amplt.m5.min,  pre_jit_amplt.m5.max)
+sy1m5.appendData(4.1, kly_jit_amplt.m5.mean,  kly_jit_amplt.m5.min,  kly_jit_amplt.m5.max)
+sy1m5.appendData(5.1, vsum_jit_amplt.m5.mean, vsum_jit_amplt.m5.min, vsum_jit_amplt.m5.max)
+
+sy1m10 = LinePlotErrorSeries("drive 10% below")
+pya.addSeries(sy1m10)
+sy1m10.setLinesVisible(False)
+sy1m10.appendData(1.2, ref_jit_amplt.m10.mean,  ref_jit_amplt.m10.min,  ref_jit_amplt.m10.max)
+sy1m10.appendData(2.2, iqm_jit_amplt.m10.mean,  iqm_jit_amplt.m10.min,  iqm_jit_amplt.m10.max)
+sy1m10.appendData(3.2, pre_jit_amplt.m10.mean,  pre_jit_amplt.m10.min,  pre_jit_amplt.m10.max)
+sy1m10.appendData(4.2, kly_jit_amplt.m10.mean,  kly_jit_amplt.m10.min,  kly_jit_amplt.m10.max)
+sy1m10.appendData(5.2, vsum_jit_amplt.m10.mean, vsum_jit_amplt.m10.min, vsum_jit_amplt.m10.max)
 
 
 m=pya.addMarker(1.0, pya.AxisId.X, "REF",pya.background)
@@ -299,14 +317,32 @@ m.setLabelPaint(Color.BLACK)
 pyp.setStyle(pyp.Style.ErrorY)
 pyp.setLegendVisible(True)
 
-sy2 = LinePlotErrorSeries("saturated")
-pyp.addSeries(sy2)
-sy2.setLinesVisible(False)
-sy2.appendData(1.0, ref_jit_phase.sat.mean,  ref_jit_phase.sat.min,  ref_jit_phase.sat.max)
-sy2.appendData(2.0, iqm_jit_phase.sat.mean,  iqm_jit_phase.sat.min,  iqm_jit_phase.sat.max)
-sy2.appendData(3.0, pre_jit_phase.sat.mean,  pre_jit_phase.sat.min,  pre_jit_phase.sat.max)
-sy2.appendData(4.0, kly_jit_phase.sat.mean,  kly_jit_phase.sat.min,  kly_jit_phase.sat.max)
-sy2.appendData(5.0, vsum_jit_phase.sat.mean, vsum_jit_phase.sat.min, vsum_jit_phase.sat.max)
+sy2s = LinePlotErrorSeries("saturated")
+pyp.addSeries(sy2s)
+sy2s.setLinesVisible(False)
+sy2s.appendData(1.0, ref_jit_phase.sat.mean,  ref_jit_phase.sat.min,  ref_jit_phase.sat.max)
+sy2s.appendData(2.0, iqm_jit_phase.sat.mean,  iqm_jit_phase.sat.min,  iqm_jit_phase.sat.max)
+sy2s.appendData(3.0, pre_jit_phase.sat.mean,  pre_jit_phase.sat.min,  pre_jit_phase.sat.max)
+sy2s.appendData(4.0, kly_jit_phase.sat.mean,  kly_jit_phase.sat.min,  kly_jit_phase.sat.max)
+sy2s.appendData(5.0, vsum_jit_phase.sat.mean, vsum_jit_phase.sat.min, vsum_jit_phase.sat.max)
+
+sy2m5 = LinePlotErrorSeries("drive 5% below")
+pyp.addSeries(sy2m5)
+sy2m5.setLinesVisible(False)
+sy2m5.appendData(1.1, ref_jit_phase.m5.mean,  ref_jit_phase.m5.min,  ref_jit_phase.m5.max)
+sy2m5.appendData(2.1, iqm_jit_phase.m5.mean,  iqm_jit_phase.m5.min,  iqm_jit_phase.m5.max)
+sy2m5.appendData(3.1, pre_jit_phase.m5.mean,  pre_jit_phase.m5.min,  pre_jit_phase.m5.max)
+sy2m5.appendData(4.1, kly_jit_phase.m5.mean,  kly_jit_phase.m5.min,  kly_jit_phase.m5.max)
+sy2m5.appendData(5.1, vsum_jit_phase.m5.mean, vsum_jit_phase.m5.min, vsum_jit_phase.m5.max)
+
+sy2m10 = LinePlotErrorSeries("drive 10% below")
+pyp.addSeries(sy2m10)
+sy2m10.setLinesVisible(False)
+sy2m10.appendData(1.2, ref_jit_phase.m10.mean,  ref_jit_phase.m10.min,  ref_jit_phase.m10.max)
+sy2m10.appendData(2.2, iqm_jit_phase.m10.mean,  iqm_jit_phase.m10.min,  iqm_jit_phase.m10.max)
+sy2m10.appendData(3.2, pre_jit_phase.m10.mean,  pre_jit_phase.m10.min,  pre_jit_phase.m10.max)
+sy2m10.appendData(4.2, kly_jit_phase.m10.mean,  kly_jit_phase.m10.min,  kly_jit_phase.m10.max)
+sy2m10.appendData(5.2, vsum_jit_phase.m10.mean, vsum_jit_phase.m10.min, vsum_jit_phase.m10.max)
 
 m=pyp.addMarker(1.0, pyp.AxisId.X, "REF",pyp.background)
 m.setLabelPaint(Color.BLACK)
@@ -352,8 +388,8 @@ print msg
 # save the entry in the logbook
 # need some sleep before and after to allow plots to be updated and to be stored to disk
 time.sleep(1.0)
-plot_files1 = get_plot_snapshots("Jitter Scan")
-plot_files2 = get_plot_snapshots("Results Overview Jitter")
+plot_files1 = get_plot_snapshots("Jitter Scan","png")
+plot_files2 = get_plot_snapshots("Results Overview Jitter","png")
 plot_files = plot_files2 + plot_files1
 time.sleep(1.0)
 elogllrf("Jitter Scan (HVPS="+str(hvps)[:6]+"V / "+str(rfrate)[:6]+" Hz)", msg,"Measurement", "RF Stability", SECTION, plot_files)
diff --git a/script/local.py b/script/local.py
index cc3856b..f3bbfd0 100755
--- a/script/local.py
+++ b/script/local.py
@@ -121,7 +121,7 @@ def elogllrf(subject, message, system, subsystem, section, attachments = []):
     print out
 
 
-def get_plot_snapshots(title = None, file_type = "jpg", temp_path = controller.setup.getContextPath()):
+def get_plot_snapshots(title = None, file_type = "png", temp_path = controller.setup.getContextPath()):
     """
     Returns list with file names of plots snapshots from a plotting context.
     """