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   "cell_type": "markdown",
   "id": "ea0c6247-b962-4857-b14b-ba05e31d067b",
   "metadata": {},
   "source": [
    "# Time dependence - create detuning"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "674ccb7a-bb6c-42bc-b4ea-9d2ed67f9e52",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[-400.  -399.6 -399.2 ...  398.8  399.2  399.6]\n"
     ]
    }
   ],
   "source": [
    "import nexus as nx\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# define a phase jump function\n",
    "class PhaseJump(nx.FunctionTime):\n",
    "\n",
    "    def __init__(self, t0):\n",
    "        super().__init__(\"phase jump\")\n",
    "        self.t0 = t0\n",
    "\n",
    "    def Function(self, time):\n",
    "        phase = 0\n",
    "        if time > self.t0:\n",
    "            phase = np.pi\n",
    "        return phase\n",
    "\n",
    "func = PhaseJump(20)\n",
    "\n",
    "# get the special detuning grid needed for calculations in the energy domain\n",
    "detuning = func.CreateDetuning(400, 2000)\n",
    "\n",
    "print(detuning)"
   ]
  }
 ],
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