diff --git a/examples/Example_EarthObservation_-_Attitude_Sequence.ipynb b/examples/Example_EarthObservation_-_Attitude_Sequence.ipynb
index 879a2927e6b032e5da9ade470a36ac06e15fb2ff..22645d2e85a13e0c644e35773a2ea6e50bd43639 100644
--- a/examples/Example_EarthObservation_-_Attitude_Sequence.ipynb
+++ b/examples/Example_EarthObservation_-_Attitude_Sequence.ipynb
@@ -23,12 +23,20 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 55,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#%matplotlib inline\n",
+    "import matplotlib.pyplot as plt"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 56,
    "metadata": {},
    "outputs": [],
    "source": [
-    "%matplotlib inline\n",
-    "import matplotlib.pyplot as plt\n",
     "import math"
    ]
   },
@@ -41,16 +49,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 57,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "<jcc.JCCEnv at 0x7fbf888d2030>"
+       "<jcc.JCCEnv at 0x2145faa71f0>"
       ]
      },
-     "execution_count": 2,
+     "execution_count": 57,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -63,7 +71,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 58,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -74,7 +82,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 59,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -85,7 +93,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 60,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -94,7 +102,7 @@
     "from org.orekit.attitudes import LofOffset;\n",
     "from org.orekit.bodies import CelestialBodyFactory, OneAxisEllipsoid;\n",
     "from org.orekit.errors import OrekitException;\n",
-    "from org.orekit.frames import FramesFactory;\n",
+    "from org.orekit.frames import FramesFactory, StaticTransform\n",
     "from org.orekit.frames import LOFType;\n",
     "from org.orekit.orbits import KeplerianOrbit;\n",
     "from org.orekit.orbits import Orbit;\n",
@@ -126,7 +134,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 61,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -140,7 +148,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 62,
    "metadata": {
     "pinned_outputs": []
    },
@@ -173,7 +181,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 63,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -192,7 +200,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 64,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -216,13 +224,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 65,
    "metadata": {},
    "outputs": [],
    "source": [
     "class myNightEclipseDetector(PythonEventHandler):\n",
     "    \n",
-    "    def init(self, s, T):\n",
+    "    def init(self, initialstate, target, detector):\n",
     "        pass\n",
     "    \n",
     "    def eventOccurred(self, s, detector, increasing):\n",
@@ -236,13 +244,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 66,
    "metadata": {},
    "outputs": [],
    "source": [
     "class myDayEclipseDetector(PythonEventHandler):\n",
     "    \n",
-    "    def init(self, s, T):\n",
+    "    def init(self, initialstate, target, detector):\n",
     "        pass\n",
     "    \n",
     "    def eventOccurred(self, s, detector, increasing):\n",
@@ -263,7 +271,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 67,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -272,7 +280,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 68,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -290,7 +298,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 69,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -300,7 +308,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 70,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -324,7 +332,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 71,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -353,7 +361,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": 72,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -376,7 +384,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": 73,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -396,7 +404,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": 74,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -413,11 +421,11 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": 75,
    "metadata": {},
    "outputs": [],
    "source": [
-    "class mystephandler(PythonOrekitFixedStepHandler):\n",
+    "class mystephandler(PythonOrekitFixedStepHandler): \n",
     "    \n",
     "    eclipseAngles = []\n",
     "    pointingOffsets = []\n",
@@ -426,10 +434,10 @@
     "    def init(self,s0, t, step):\n",
     "        pass\n",
     "        \n",
-    "    def handleStep(self,currentState, isLast):\n",
+    "    def handleStep(self, currentState):\n",
     "        # the Earth position in spacecraft frame should be along spacecraft Z axis\n",
     "        # during nigthtime and away from it during daytime due to roll and pitch offsets\n",
-    "        earth = currentState.toTransform().transformPosition(Vector3D.ZERO)\n",
+    "        earth = StaticTransform.cast_(currentState.toTransform()).transformPosition(Vector3D.ZERO)\n",
     "        pointingOffset = Vector3D.angle(earth, Vector3D.PLUS_K)\n",
     "\n",
     "        # the g function is the eclipse indicator, its an angle between Sun and Earth limb,\n",
@@ -439,17 +447,28 @@
     "        \n",
     "        self.eclipseAngles.append(eclipseAngle)\n",
     "        self.pointingOffsets.append(math.degrees(pointingOffset))\n",
-    "        self.dates.append(currentState.getDate())"
+    "        self.dates.append(currentState.getDate())\n",
+    "    \n",
+    "    def finish(self, finalState):\n",
+    "        pass"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 76,
    "metadata": {},
    "outputs": [],
    "source": [
     "handler = mystephandler()\n",
-    "propagator.setMasterMode(180.0, handler)"
+    "Propagator.cast_(propagator).getMultiplexer().add(180.0, handler)\n",
+    "#Propagator.cast_(propagator).setStepHandler(180.0, handler)"
    ]
   },
   {
@@ -463,96 +482,96 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 22,
+   "execution_count": 77,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "2004-01-01T23:30:00.000    -0.203       0.0\n",
-      "2004-01-01T23:33:00.000    -0.311       0.0\n",
-      "2004-01-01T23:36:00.000    -0.392       0.0\n",
-      "2004-01-01T23:39:00.000    -0.437       0.0\n",
-      "2004-01-01T23:42:00.000    -0.439       0.0\n",
-      "2004-01-01T23:45:00.000    -0.397       0.0\n",
-      "2004-01-01T23:48:00.000    -0.318       0.0\n",
-      "2004-01-01T23:51:00.000    -0.212       0.0\n",
-      "2004-01-01T23:54:00.000    -0.088       0.0\n",
+      "2004-01-01T23:30:00.000Z    -0.203       0.0\n",
+      "2004-01-01T23:33:00.000Z    -0.311       0.0\n",
+      "2004-01-01T23:36:00.000Z    -0.392       0.0\n",
+      "2004-01-01T23:39:00.000Z    -0.437       0.0\n",
+      "2004-01-01T23:42:00.000Z    -0.439       0.0\n",
+      "2004-01-01T23:45:00.000Z    -0.397       0.0\n",
+      "2004-01-01T23:48:00.000Z    -0.318       0.0\n",
+      "2004-01-01T23:51:00.000Z    -0.212       0.0\n",
       "\n",
-      " 2004-01-01T23:55:57.968  : event occurred, exiting eclipse => switching to day law\n",
+      " 2004-01-01T23:55:57.96834440741276Z  : event occurred, exiting eclipse => switching to day law\n",
       "\n",
-      "2004-01-01T23:57:00.000     0.048       0.0\n",
-      "2004-01-02T00:00:00.000     0.191      44.0\n",
-      "2004-01-02T00:03:00.000     0.338      44.0\n",
-      "2004-01-02T00:06:00.000     0.487      44.0\n",
-      "2004-01-02T00:09:00.000     0.636      44.0\n",
-      "2004-01-02T00:12:00.000     0.782      44.0\n",
-      "2004-01-02T00:15:00.000     0.922      44.0\n",
-      "2004-01-02T00:18:00.000     1.052      44.0\n",
-      "2004-01-02T00:21:00.000     1.168      44.0\n",
-      "2004-01-02T00:24:00.000     1.261      44.0\n",
-      "2004-01-02T00:27:00.000     1.322      44.0\n",
-      "2004-01-02T00:30:00.000     1.342      44.0\n",
-      "2004-01-02T00:33:00.000     1.317      44.0\n",
-      "2004-01-02T00:36:00.000     1.252      44.0\n",
-      "2004-01-02T00:39:00.000     1.156      44.0\n",
-      "2004-01-02T00:42:00.000     1.039      44.0\n",
-      "2004-01-02T00:45:00.000     0.908      44.0\n",
-      "2004-01-02T00:48:00.000     0.767      44.0\n",
-      "2004-01-02T00:51:00.000     0.621      44.0\n",
-      "2004-01-02T00:54:00.000     0.473      44.0\n",
-      "2004-01-02T00:57:00.000     0.325      44.0\n",
-      "2004-01-02T01:00:00.000     0.178      44.0\n",
+      "2004-01-01T23:54:00.000Z    -0.088       0.0\n",
+      "2004-01-01T23:57:00.000Z     0.048      44.0\n",
+      "2004-01-02T00:00:00.000Z     0.191      44.0\n",
+      "2004-01-02T00:03:00.000Z     0.338      44.0\n",
+      "2004-01-02T00:06:00.000Z     0.487      44.0\n",
+      "2004-01-02T00:09:00.000Z     0.636      44.0\n",
+      "2004-01-02T00:12:00.000Z     0.782      44.0\n",
+      "2004-01-02T00:15:00.000Z     0.922      44.0\n",
+      "2004-01-02T00:18:00.000Z     1.052      44.0\n",
+      "2004-01-02T00:21:00.000Z     1.168      44.0\n",
+      "2004-01-02T00:24:00.000Z     1.261      44.0\n",
+      "2004-01-02T00:27:00.000Z     1.322      44.0\n",
+      "2004-01-02T00:30:00.000Z     1.342      44.0\n",
+      "2004-01-02T00:33:00.000Z     1.317      44.0\n",
+      "2004-01-02T00:36:00.000Z     1.252      44.0\n",
+      "2004-01-02T00:39:00.000Z     1.156      44.0\n",
+      "2004-01-02T00:42:00.000Z     1.039      44.0\n",
+      "2004-01-02T00:45:00.000Z     0.908      44.0\n",
+      "2004-01-02T00:48:00.000Z     0.767      44.0\n",
+      "2004-01-02T00:51:00.000Z     0.621      44.0\n",
+      "2004-01-02T00:54:00.000Z     0.473      44.0\n",
+      "2004-01-02T00:57:00.000Z     0.325      44.0\n",
+      "2004-01-02T01:00:00.000Z     0.178      44.0\n",
       "\n",
-      " 2004-01-02T01:03:45.919  : event occurred, entering eclipse => switching to night law\n",
+      " 2004-01-02T01:03:45.91920914159937Z  : event occurred, entering eclipse => switching to night law\n",
       "\n",
-      "2004-01-02T01:03:00.000     0.035      44.0\n",
-      "2004-01-02T01:06:00.000    -0.100       0.0\n",
-      "2004-01-02T01:09:00.000    -0.222       0.0\n",
-      "2004-01-02T01:12:00.000    -0.326       0.0\n",
-      "2004-01-02T01:15:00.000    -0.402       0.0\n",
-      "2004-01-02T01:18:00.000    -0.441       0.0\n",
-      "2004-01-02T01:21:00.000    -0.435       0.0\n",
-      "2004-01-02T01:24:00.000    -0.386       0.0\n",
-      "2004-01-02T01:27:00.000    -0.302       0.0\n",
-      "2004-01-02T01:30:00.000    -0.193       0.0\n",
-      "2004-01-02T01:33:00.000    -0.067       0.0\n",
+      "2004-01-02T01:03:00.000Z     0.035      44.0\n",
+      "2004-01-02T01:06:00.000Z    -0.100       0.0\n",
+      "2004-01-02T01:09:00.000Z    -0.222       0.0\n",
+      "2004-01-02T01:12:00.000Z    -0.326       0.0\n",
+      "2004-01-02T01:15:00.000Z    -0.402       0.0\n",
+      "2004-01-02T01:18:00.000Z    -0.441       0.0\n",
+      "2004-01-02T01:21:00.000Z    -0.435       0.0\n",
+      "2004-01-02T01:24:00.000Z    -0.386       0.0\n",
+      "2004-01-02T01:27:00.000Z    -0.302       0.0\n",
+      "2004-01-02T01:30:00.000Z    -0.193       0.0\n",
       "\n",
-      " 2004-01-02T01:34:28.690  : event occurred, exiting eclipse => switching to day law\n",
+      " 2004-01-02T01:34:28.69010121889073Z  : event occurred, exiting eclipse => switching to day law\n",
       "\n",
-      "2004-01-02T01:36:00.000     0.071       0.0\n",
-      "2004-01-02T01:39:00.000     0.215      44.0\n",
-      "2004-01-02T01:42:00.000     0.363      44.0\n",
-      "2004-01-02T01:45:00.000     0.512      44.0\n",
-      "2004-01-02T01:48:00.000     0.660      44.0\n",
-      "2004-01-02T01:51:00.000     0.805      44.0\n",
-      "2004-01-02T01:54:00.000     0.944      44.0\n",
-      "2004-01-02T01:57:00.000     1.072      44.0\n",
-      "2004-01-02T02:00:00.000     1.185      44.0\n",
-      "2004-01-02T02:03:00.000     1.273      44.0\n",
-      "2004-01-02T02:06:00.000     1.328      44.0\n",
-      "2004-01-02T02:09:00.000     1.341      44.0\n",
-      "2004-01-02T02:12:00.000     1.309      44.0\n",
-      "2004-01-02T02:15:00.000     1.239      44.0\n",
-      "2004-01-02T02:18:00.000     1.139      44.0\n",
-      "2004-01-02T02:21:00.000     1.018      44.0\n",
-      "2004-01-02T02:24:00.000     0.885      44.0\n",
-      "2004-01-02T02:27:00.000     0.744      44.0\n",
-      "2004-01-02T02:30:00.000     0.597      44.0\n",
-      "2004-01-02T02:33:00.000     0.449      44.0\n",
-      "2004-01-02T02:36:00.000     0.300      44.0\n",
-      "2004-01-02T02:39:00.000     0.154      44.0\n",
+      "2004-01-02T01:33:00.000Z    -0.067       0.0\n",
+      "2004-01-02T01:36:00.000Z     0.071      44.0\n",
+      "2004-01-02T01:39:00.000Z     0.215      44.0\n",
+      "2004-01-02T01:42:00.000Z     0.363      44.0\n",
+      "2004-01-02T01:45:00.000Z     0.512      44.0\n",
+      "2004-01-02T01:48:00.000Z     0.660      44.0\n",
+      "2004-01-02T01:51:00.000Z     0.805      44.0\n",
+      "2004-01-02T01:54:00.000Z     0.944      44.0\n",
+      "2004-01-02T01:57:00.000Z     1.072      44.0\n",
+      "2004-01-02T02:00:00.000Z     1.185      44.0\n",
+      "2004-01-02T02:03:00.000Z     1.273      44.0\n",
+      "2004-01-02T02:06:00.000Z     1.328      44.0\n",
+      "2004-01-02T02:09:00.000Z     1.341      44.0\n",
+      "2004-01-02T02:12:00.000Z     1.309      44.0\n",
+      "2004-01-02T02:15:00.000Z     1.239      44.0\n",
+      "2004-01-02T02:18:00.000Z     1.139      44.0\n",
+      "2004-01-02T02:21:00.000Z     1.018      44.0\n",
+      "2004-01-02T02:24:00.000Z     0.885      44.0\n",
+      "2004-01-02T02:27:00.000Z     0.744      44.0\n",
+      "2004-01-02T02:30:00.000Z     0.597      44.0\n",
+      "2004-01-02T02:33:00.000Z     0.449      44.0\n",
+      "2004-01-02T02:36:00.000Z     0.300      44.0\n",
+      "2004-01-02T02:39:00.000Z     0.154      44.0\n",
       "\n",
-      " 2004-01-02T02:42:16.591  : event occurred, entering eclipse => switching to night law\n",
+      " 2004-01-02T02:42:16.59110933868611Z  : event occurred, entering eclipse => switching to night law\n",
       "\n",
-      "2004-01-02T02:42:00.000     0.013      44.0\n",
-      "2004-01-02T02:45:00.000    -0.121       0.0\n",
-      "2004-01-02T02:48:00.000    -0.241       0.0\n",
-      "2004-01-02T02:51:00.000    -0.341       0.0\n",
-      "2004-01-02T02:54:00.000    -0.411       0.0\n",
-      "2004-01-02T02:57:00.000    -0.443       0.0\n",
-      "2004-01-02T03:00:00.000    -0.430       0.0\n"
+      "2004-01-02T02:42:00.000Z     0.013      44.0\n",
+      "2004-01-02T02:45:00.000Z    -0.121       0.0\n",
+      "2004-01-02T02:48:00.000Z    -0.241       0.0\n",
+      "2004-01-02T02:51:00.000Z    -0.341       0.0\n",
+      "2004-01-02T02:54:00.000Z    -0.411       0.0\n",
+      "2004-01-02T02:57:00.000Z    -0.443       0.0\n",
+      "2004-01-02T03:00:00.000Z    -0.430       0.0\n"
      ]
     }
    ],
@@ -563,14 +582,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 23,
+   "execution_count": 78,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Propagation ended at 2004-01-02T03:00:00.000\n"
+      "Propagation ended at 2004-01-02T03:00:00.000Z\n"
      ]
     }
    ],
@@ -589,7 +608,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
+   "execution_count": 79,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -598,7 +617,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
+   "execution_count": 80,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -607,19 +626,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 26,
+   "execution_count": 81,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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",
       "text/plain": [
-       "<Figure size 432x288 with 2 Axes>"
+       "<Figure size 640x480 with 2 Axes>"
       ]
      },
-     "metadata": {
-      "needs_background": "light"
-     },
+     "metadata": {},
      "output_type": "display_data"
     }
    ],
@@ -649,7 +666,7 @@
   "anaconda-cloud": {},
   "hide_input": false,
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "Python 3.10.8 ('scipy')",
    "language": "python",
    "name": "python3"
   },
@@ -663,7 +680,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.8.5"
+   "version": "3.10.8"
   },
   "toc": {
    "base_numbering": 1,
@@ -677,6 +694,11 @@
    "toc_position": {},
    "toc_section_display": "block",
    "toc_window_display": true
+  },
+  "vscode": {
+   "interpreter": {
+    "hash": "1feafa5877f2f34c9601a0a04d01d2a17e938b33d8b3b33d922b3fb13833df68"
+   }
   }
  },
  "nbformat": 4,