diff --git a/eco/timing/timetool_online_helper.py b/eco/timing/timetool_online_helper.py
new file mode 100644
index 0000000..44f2ac1
--- /dev/null
+++ b/eco/timing/timetool_online_helper.py
@@ -0,0 +1,71 @@
+
+from bsread import source
+from collections import deque
+import numpy as np
+from matplotlib import pyplot as plt
+from matplotlib.animation import FuncAnimation
+from threading import Thread
+from time import sleep
+plt.ion()
+
+
+
+class TtProcessor:
+    def __init__(self,Nbg = 10):
+          self.bg = deque([],Nbg)
+          self.sig = deque([],1)
+          self.spec_ppd = deque([],1)
+          self.accumulator = Thread(target=self.run_continuously)
+          self.accumulator.start()
+
+    def run_continuously(self):
+        with source(channels=['SARES20-CAMS142-M5.roi_signal_x_profile','SAR-CVME-TIFALL5:EvtSet']) as s:
+            while True:
+                m = s.receive()
+                ix = m.data.pulse_id
+              
+                prof = m.data.data['SARES20-CAMS142-M5.roi_signal_x_profile'].value
+                if prof is None:
+                    continue
+
+                codes = m.data.data['SAR-CVME-TIFALL5:EvtSet'].value
+                if codes is None:
+                    continue
+                is_reference = codes[25]==1
+                try:
+                    if (lastgoodix-ix)>1:
+                        print(f'missed  {lastgoodix-ix-1} events!')
+                except:
+                    pass
+                lastgoodix = ix
+                if is_reference:
+                    self.bg.append(prof)
+                else:
+                    self.sig.append((prof / np.asarray(self.bg).mean(axis=0)))
+                    self.spec_ppd.append(prof )
+                    # print(f'pumped_id is {m.data.pulse_id}')
+        
+    def setup_plot(self):
+        self.lh_sig = self.axs[1].plot(self.sig[-1])[0]
+        self.lh_bg = self.axs[0].plot(np.asarray(self.bg).mean(axis=0))[0]
+        self.lh_bg_last = self.axs[0].plot(self.bg[-1])[0]
+        self.lh_sig_last = self.axs[0].plot(self.spec_ppd[-1])[0]
+
+    def update_plot(self,dum):
+        self.lh_sig.set_ydata(self.sig[-1])
+        self.lh_bg.set_ydata(np.asarray(self.bg).mean(axis=0))
+        self.lh_bg_last.set_ydata(self.bg[-1])
+        self.lh_sig_last.set_ydata(self.spec_ppd[-1])
+        return self.lh_sig
+
+    def plot_animation(self,name='TT online ana',animate=True):
+        if len(self.sig)<1:
+            print('no signals yet')
+            return
+        self.fig,self.axs = plt.subplots(2,1,sharex=True,num=name)
+        # self.fig.clf()
+        # self.ax = self.fig.add_subplot(111)
+        if animate:
+            self.ani = FuncAnimation(self.fig,self.update_plot,init_func=self.setup_plot)
+            plt.show()
+