diff --git a/devito/types/sparse.py b/devito/types/sparse.py
index 85910ff9550..4741b97bd18 100644
--- a/devito/types/sparse.py
+++ b/devito/types/sparse.py
@@ -754,6 +754,11 @@ class SparseFunction(AbstractSparseFunction):
         Controller for memory allocation. To be used, for example, when one wants
         to take advantage of the memory hierarchy in a NUMA architecture. Refer to
         `default_allocator.__doc__` for more information.
+    interpolation: String, optional, default='linear'
+        The interpolation type to be used by the SparseFunction. Supported types
+        are 'linear' and 'sinc'.
+    r: int, optional, default=1 for 'linear', 4 for 'sinc'
+        The radius of the interpolation operators provided by the SparseFunction.
 
     Examples
     --------
diff --git a/examples/userapi/07_sparse_operations.ipynb b/examples/userapi/07_sparse_operations.ipynb
index b3281b3c421..8905f77ec9b 100644
--- a/examples/userapi/07_sparse_operations.ipynb
+++ b/examples/userapi/07_sparse_operations.ipynb
@@ -66,7 +66,7 @@
     {
      "data": {
       "text/plain": [
-       "<matplotlib.legend.Legend at 0x128bd3f90>"
+       "<matplotlib.legend.Legend at 0x124890650>"
       ]
      },
      "execution_count": 3,
@@ -75,7 +75,7 @@
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1000x1000 with 1 Axes>"
       ]
@@ -148,19 +148,18 @@
       "        The computational domain from which the sparse points are sampled.\n",
       "    coordinates : np.ndarray, optional\n",
       "        The coordinates of each sparse point.\n",
-      "    space_order : int, optional\n",
-      "        Discretisation order for space derivatives. Defaults to 0.\n",
-      "    time_order : int, optional\n",
-      "        Discretisation order for time derivatives. Defaults to 1.\n",
-      "    shape : tuple of ints, optional\n",
-      "        Shape of the object. Defaults to ``(nt, npoint)``.\n",
+      "    space_order : int, optional, default=0\n",
+      "        Discretisation order for space derivatives.\n",
+      "    time_order : int, optional, default=1\n",
+      "        Discretisation order for time derivatives.\n",
+      "    shape : tuple of ints, optional, default=(nt, npoint)\n",
+      "        Shape of the object.\n",
       "    dimensions : tuple of Dimension, optional\n",
       "        Dimensions associated with the object. Only necessary if the SparseFunction\n",
       "        defines a multi-dimensional tensor.\n",
-      "    dtype : data-type, optional\n",
-      "        Any object that can be interpreted as a numpy data type. Defaults\n",
-      "        to ``np.float32``.\n",
-      "    initializer : callable or any object exposing the buffer interface, optional\n",
+      "    dtype : data-type, optional, default=np.float32\n",
+      "        Any object that can be interpreted as a numpy data type.\n",
+      "    initializer : callable or any object exposing the buffer interface, default=None\n",
       "        Data initializer. If a callable is provided, data is allocated lazily.\n",
       "    allocator : MemoryAllocator, optional\n",
       "        Controller for memory allocation. To be used, for example, when one wants\n",
@@ -209,14 +208,20 @@
     "print(SparseTimeFunction.__doc__)"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Bi(tri)-linear interpolation"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": 5,
    "metadata": {},
    "outputs": [],
    "source": [
-    "from itertools import product\n",
-    "pos = tuple(product((0, grid.spacing[1]), (0, grid.spacing[1])))"
+    "from itertools import product"
    ]
   },
   {
@@ -225,10 +230,10 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "s = SparseTimeFunction(name=\"s\", grid=grid, npoint=npoint, nt=nt,\n",
-    "                                  coordinates=coords)\n",
+    "s = SparseTimeFunction(name=\"s\", grid=grid, npoint=npoint, nt=nt, coordinates=coords)\n",
     "\n",
-    "interp_points = np.concatenate([base+p for p in pos])"
+    "d1, d2 = grid.spacing\n",
+    "interp_points = np.concatenate([base+(s1*d1, s2*d2) for (s1, s2) in s._point_support])"
    ]
   },
   {
@@ -239,7 +244,7 @@
     {
      "data": {
       "text/plain": [
-       "<matplotlib.legend.Legend at 0x128d62dd0>"
+       "<matplotlib.legend.Legend at 0x1248ff2f0>"
       ]
      },
      "execution_count": 7,
@@ -248,7 +253,7 @@
     },
     {
      "data": {
-      "image/png": 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",
+      "image/png": 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",
       "text/plain": [
        "<Figure size 1000x1000 with 1 Axes>"
       ]
@@ -304,28 +309,208 @@
     "print(\"\\n\".join([str(s) for s in s.interpolate(f).evaluate]))"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "f.data.fill(0)\n",
+    "op = Operator([Eq(f.forward, f+1)] + s.interpolate(f))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Operator `Kernel` ran in 0.01 s\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "PerformanceSummary([(PerfKey(name='section0', rank=None),\n",
+       "                     PerfEntry(time=0.00014800000000000002, gflopss=0.0, gpointss=0.0, oi=0.0, ops=0, itershapes=[])),\n",
+       "                    (PerfKey(name='section1', rank=None),\n",
+       "                     PerfEntry(time=9.6e-05, gflopss=0.0, gpointss=0.0, oi=0.0, ops=0, itershapes=[]))])"
+      ]
+     },
+     "execution_count": 10,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "#NBVAL_IGNORE_OUTPUT\n",
+    "op()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Operator `Kernel` ran in 0.01 s\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "Data([[10.      , 10.      , 10.      ,  9.999999, 10.      ],\n",
+       "      [11.      , 11.      , 11.      , 11.      , 10.999999],\n",
+       "      [12.      , 11.999999, 12.      , 12.      , 12.      ],\n",
+       "      [13.      , 13.      , 13.      , 13.      , 13.      ],\n",
+       "      [14.      , 14.      , 14.      , 14.      , 13.999999],\n",
+       "      [15.      , 14.999999, 15.      , 15.      , 15.      ],\n",
+       "      [16.      , 16.      , 16.      , 16.      , 16.      ],\n",
+       "      [17.      , 17.      , 17.      , 16.999998, 17.      ],\n",
+       "      [18.      , 18.      , 18.      , 18.      , 18.      ],\n",
+       "      [19.      , 19.      , 19.      , 19.      , 19.      ],\n",
+       "      [ 0.      ,  0.      ,  0.      ,  0.      ,  0.      ]],\n",
+       "     dtype=float32)"
+      ]
+     },
+     "execution_count": 11,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "#NBVAL_IGNORE_OUTPUT\n",
+    "op()\n",
+    "s.data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Operator `Kernel` ran in 0.01 s\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "PerformanceSummary([(PerfKey(name='section0', rank=None),\n",
+       "                     PerfEntry(time=2.9e-05, gflopss=0.0, gpointss=0.0, oi=0.0, ops=0, itershapes=[]))])"
+      ]
+     },
+     "execution_count": 12,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "#NBVAL_IGNORE_OUTPUT\n",
+    "op = Operator(s.inject(u, expr=s))\n",
+    "op()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.image.AxesImage at 0x124a37d70>"
+      ]
+     },
+     "execution_count": 13,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1000x1000 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "#NBVAL_IGNORE_OUTPUT\n",
+    "fig, ax = plt.subplots(figsize=(10, 10))\n",
+    "ax.imshow(u.data[1], vmin=0, vmax=1, cmap=\"jet\", extent=[0,1,0,1])"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "which in term of generated code will lead to the following C code:"
+    "### Kaiser sinc interpolation\n",
+    "\n",
+    "Graham J. Hicks pioneered an approach to address one of the significant challenges in seismic simulation: the accurate and flexible positioning of sources and receivers in finite-difference computational grids. By integrating Kaiser windowed sinc functions into the interpolation process, Hicks' method facilitates arbitrary placement of these elements, overcoming the limitations imposed by the inherent discreteness of computational grids. This technique is especially beneficial in seismic wave propagation models, where precise source and receiver locations are crucial for accurate subsurface imaging.\n",
+    "\n",
+    "## Mathematical Basis of the Interpolation\n",
+    "\n",
+    "The interpolation of a field value, $f$, at an arbitrary point using the Kaiser windowed sinc function can be mathematically expressed as follows:\n",
+    "\n",
+    "$$\n",
+    "f(x) = \\sum_{n=-r}^{r} f_n \\cdot \\text{sinc}\\left( \\frac{x - x_n}{\\Delta x} \\right) \\cdot w\\left( \\frac{x - x_n}{\\alpha} \\right)\n",
+    "$$\n",
+    "\n",
+    "where:\n",
+    "- $f_n$ represents the field values at grid points.\n",
+    "- $x$ denotes the arbitrary (non-grid-aligned) position where the field value is interpolated.\n",
+    "- $x_n$ refers to the position of the $n$-th grid point.\n",
+    "- $\\Delta x$ is the grid spacing.\n",
+    "- $w(\\cdot)$ is the Kaiser window function applied to modulate the sinc function, defined as:\n",
+    "  $$\n",
+    "  w(x) = \\frac{I_0\\left( \\beta \\sqrt{1 - \\left( \\frac{x}{\\alpha} \\right)^2} \\right)}{I_0(\\beta)}\n",
+    "  $$\n",
+    "- $I_0$ is the modified Bessel function of the first kind and zero order.\n",
+    "- $\\beta$ is the Kaiser window's shape parameter, controlling sidelobe attenuation.\n",
+    "- $\\alpha$ is a scaling factor that adjusts the effective width of the window, enhancing the function's ability to interpolate over a wider area without significant loss of accuracy.\n",
+    "\n",
+    "## Practical Implications for Seismic Modeling\n",
+    "\n",
+    "This interpolation formula is pivotal for improving the fidelity of finite-difference simulations in seismic applications. By allowing for the precise positioning of sources and receivers, it enables more accurate modeling of wave propagation through complex geological structures. The flexibility offered by this method significantly enhances the quality of seismic images, providing clearer insights into the Earth's subsurface.\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "s = SparseTimeFunction(name=\"s\", grid=grid, npoint=npoint, nt=nt, coordinates=coords, interpolation='sinc')\n",
+    "\n",
+    "interp_points = np.concatenate([base+(s1*d1, s2*d2) for (s1, s2) in s._point_support])"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 15,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Eq(posx, (int)(floor((-o_x + s_coords(p_s, 0))/h_x)))\n",
-      "Eq(posy, (int)(floor((-o_y + s_coords(p_s, 1))/h_y)))\n",
-      "Eq(px, -floor((-o_x + s_coords(p_s, 0))/h_x) + (-o_x + s_coords(p_s, 0))/h_x)\n",
-      "Eq(py, -floor((-o_y + s_coords(p_s, 1))/h_y) + (-o_y + s_coords(p_s, 1))/h_y)\n",
+      "Eq(posx, floor((-o_x + s_coords(p_s, 0))/h_x))\n",
+      "Eq(posy, floor((-o_y + s_coords(p_s, 1))/h_y))\n",
       "Eq(sum, 0.0)\n",
-      "Inc(sum, (rsx*px + (1 - rsx)*(1 - px))*(rsy*py + (1 - rsy)*(1 - py))*f(t, rsx + posx, rsy + posy))\n",
+      "Inc(sum, wsincrsx(p_s, rsx + 3)*wsincrsy(p_s, rsy + 3)*f(t, rsx + posx, rsy + posy))\n",
       "Eq(s(time, p_s), sum)\n"
      ]
     }
@@ -336,7 +521,28 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 16,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Eq(posx, floor((-o_x + s_coords(p_s, 0))/h_x))\n",
+      "Eq(posy, floor((-o_y + s_coords(p_s, 1))/h_y))\n",
+      "Eq(sum, 0.0)\n",
+      "Inc(sum, wsincrsx(p_s, rsx + 3)*wsincrsy(p_s, rsy + 3)*f(t, rsx + posx, rsy + posy))\n",
+      "Eq(s(time, p_s), sum)\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(\"\\n\".join([str(s) for s in s.interpolate(f).evaluate]))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -346,7 +552,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 18,
    "metadata": {},
    "outputs": [
     {
@@ -360,12 +566,12 @@
      "data": {
       "text/plain": [
        "PerformanceSummary([(PerfKey(name='section0', rank=None),\n",
-       "                     PerfEntry(time=0.000147, gflopss=0.0, gpointss=0.0, oi=0.0, ops=0, itershapes=[])),\n",
+       "                     PerfEntry(time=0.00017999999999999998, gflopss=0.0, gpointss=0.0, oi=0.0, ops=0, itershapes=[])),\n",
        "                    (PerfKey(name='section1', rank=None),\n",
-       "                     PerfEntry(time=0.0001, gflopss=0.0, gpointss=0.0, oi=0.0, ops=0, itershapes=[]))])"
+       "                     PerfEntry(time=0.00017299999999999998, gflopss=0.0, gpointss=0.0, oi=0.0, ops=0, itershapes=[]))])"
       ]
      },
-     "execution_count": 11,
+     "execution_count": 18,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -377,7 +583,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 19,
    "metadata": {},
    "outputs": [
     {
@@ -390,21 +596,21 @@
     {
      "data": {
       "text/plain": [
-       "Data([[10.      , 10.      , 10.      , 10.      , 10.      ],\n",
-       "      [11.      , 11.      , 11.      , 11.      , 11.      ],\n",
-       "      [12.      , 12.      , 12.      , 12.      , 11.999999],\n",
-       "      [13.      , 13.      , 13.      , 13.      , 12.999999],\n",
-       "      [14.      , 14.      , 14.      , 14.      , 14.      ],\n",
-       "      [15.      , 15.      , 15.      , 15.      , 15.      ],\n",
-       "      [16.      , 16.      , 16.      , 16.      , 16.      ],\n",
-       "      [17.      , 17.      , 17.      , 17.      , 17.      ],\n",
-       "      [18.      , 18.      , 18.      , 18.      , 18.      ],\n",
-       "      [19.      , 19.      , 19.      , 19.      , 18.999998],\n",
+       "Data([[ 9.951758,  9.95891 ,  9.935667,  9.967425,  9.945093],\n",
+       "      [10.946932, 10.954802, 10.929233, 10.964169, 10.9396  ],\n",
+       "      [11.942108, 11.950692, 11.922801, 11.96091 , 11.934113],\n",
+       "      [12.937286, 12.946586, 12.916367, 12.957654, 12.928621],\n",
+       "      [13.932461, 13.942472, 13.909932, 13.954394, 13.923126],\n",
+       "      [14.927638, 14.938366, 14.903499, 14.951139, 14.917633],\n",
+       "      [15.92281 , 15.934254, 15.897063, 15.947878, 15.912145],\n",
+       "      [16.917992, 16.930147, 16.890636, 16.944618, 16.906654],\n",
+       "      [17.913166, 17.926037, 17.884197, 17.941368, 17.901163],\n",
+       "      [18.90834 , 18.921934, 18.877771, 18.938108, 18.895672],\n",
        "      [ 0.      ,  0.      ,  0.      ,  0.      ,  0.      ]],\n",
        "     dtype=float32)"
       ]
      },
-     "execution_count": 12,
+     "execution_count": 19,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -417,7 +623,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 20,
    "metadata": {},
    "outputs": [
     {
@@ -431,10 +637,10 @@
      "data": {
       "text/plain": [
        "PerformanceSummary([(PerfKey(name='section0', rank=None),\n",
-       "                     PerfEntry(time=2.9e-05, gflopss=0.0, gpointss=0.0, oi=0.0, ops=0, itershapes=[]))])"
+       "                     PerfEntry(time=4.2e-05, gflopss=0.0, gpointss=0.0, oi=0.0, ops=0, itershapes=[]))])"
       ]
      },
-     "execution_count": 13,
+     "execution_count": 20,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -447,22 +653,22 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 21,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "<matplotlib.image.AxesImage at 0x12982d050>"
+       "<matplotlib.image.AxesImage at 0x124e83d70>"
       ]
      },
-     "execution_count": 14,
+     "execution_count": 21,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1000x1000 with 1 Axes>"
       ]
@@ -494,7 +700,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 22,
    "metadata": {},
    "outputs": [
     {
@@ -534,16 +740,15 @@
       "        So for `r=6`, we will store 18 coefficients per sparse point (instead of\n",
       "        potentially 216).  Must be a three-dimensional array of shape\n",
       "        `(npoint, grid.ndim, r)`.\n",
-      "    space_order : int, optional\n",
-      "        Discretisation order for space derivatives. Defaults to 0.\n",
-      "    shape : tuple of ints, optional\n",
-      "        Shape of the object. Defaults to `(npoint,)`.\n",
+      "    space_order : int, optional, default=0\n",
+      "        Discretisation order for space derivatives.\n",
+      "    shape : tuple of ints, optional, default=(npoint,)\n",
+      "        Shape of the object.\n",
       "    dimensions : tuple of Dimension, optional\n",
       "        Dimensions associated with the object. Only necessary if the SparseFunction\n",
       "        defines a multi-dimensional tensor.\n",
-      "    dtype : data-type, optional\n",
-      "        Any object that can be interpreted as a numpy data type. Defaults\n",
-      "        to `np.float32`.\n",
+      "    dtype : data-type, optional, default=np.float32\n",
+      "        Any object that can be interpreted as a numpy data type.\n",
       "    initializer : callable or any object exposing the buffer interface, optional\n",
       "        Data initializer. If a callable is provided, data is allocated lazily.\n",
       "    allocator : MemoryAllocator, optional\n",
@@ -565,7 +770,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 23,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -582,22 +787,22 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": 24,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "<matplotlib.legend.Legend at 0x129aa0ed0>"
+       "<matplotlib.legend.Legend at 0x1250b3ef0>"
       ]
      },
-     "execution_count": 17,
+     "execution_count": 24,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1000x1000 with 1 Axes>"
       ]
@@ -625,7 +830,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": 25,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -635,7 +840,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": 26,
    "metadata": {},
    "outputs": [
     {
@@ -661,7 +866,7 @@
        "      [0., 0., 0., 0., 0.]], dtype=float32)"
       ]
      },
-     "execution_count": 19,
+     "execution_count": 26,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -674,7 +879,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": 27,
    "metadata": {},
    "outputs": [
     {
@@ -688,10 +893,10 @@
      "data": {
       "text/plain": [
        "PerformanceSummary([(PerfKey(name='section0', rank=None),\n",
-       "                     PerfEntry(time=3.5e-05, gflopss=0.0, gpointss=0.0, oi=0.0, ops=0, itershapes=[]))])"
+       "                     PerfEntry(time=6.7e-05, gflopss=0.0, gpointss=0.0, oi=0.0, ops=0, itershapes=[]))])"
       ]
      },
-     "execution_count": 20,
+     "execution_count": 27,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -705,22 +910,22 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
+   "execution_count": 28,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "<matplotlib.image.AxesImage at 0x129c6e850>"
+       "<matplotlib.image.AxesImage at 0x12522fa40>"
       ]
      },
-     "execution_count": 21,
+     "execution_count": 28,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": 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",
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evmOvv/56TJ8+fcD4AQAAGC4lvwWuoaEhtmzZEt/73vfi4MGD8eUvfzk6Ozv7vhVu6dKlsWrVqr71X/7yl+Ott96Ke+65J15//fXYvn17rFu3LlasWDF0rwIAAOAclPw12IsWLYoTJ07EmjVrorW1NebMmRM7d+7s+2KEo0ePxrhxf+iq6urqePHFF+O+++6La6+9NmbOnBn33HNP3H///UP3KgAAAM5BWVEUxWgP8X46Ojpi0qRJEbEyInw2CODDZnXRPdojjLi1ZaPzNvBs/6xH658zMFS6ImJ9tLe3x8SJE4fkGYf9W+AAAAA+KAQQAACQhgACAADSEEAAAEAaAggAAEhDAAEAAGkIIAAAIA0BBAAApCGAAACANAQQAACQhgACAADSEEAAAEAaAggAAEhDAAEAAGkIIAAAIA0BBAAApCGAAACANCaM9gAAwMhZW1Y+2iMAjCp3gAAAgDQEEAAAkIYAAgAA0hBAAABAGgIIAABIQwABAABpCCAAACANAQQAAKQhgAAAgDQEEAAAkIYAAgAA0hBAAABAGgIIAABIQwABAABpTBjtAQBgbVn5aI8AQBLuAAEAAGkIIAAAIA0BBAAApCGAAACANAQQAACQhgACAADSEEAAAEAaAggAAEhDAAEAAGkIIAAAIA0BBAAApCGAAACANAQQAACQhgACAADSEEAAAEAaAggAAEhDAAEAAGkIIAAAIA0BBAAApCGAAACANAQQAACQhgACAADSEEAAAEAaAggAAEhDAAEAAGkIIAAAIA0BBAAApCGAAACANAQQAACQhgACAADSEEAAAEAaAggAAEhDAAEAAGkIIAAAIA0BBAAApCGAAACANAQQAACQhgACAADSEEAAAEAaAggAAEhDAAEAAGkIIAAAIA0BBAAApCGAAACANAQQAACQxoTRHgAYWauL7tEeYcStLSsf7REAgA8Id4AAAIA0BBAAAJCGAAIAANIQQAAAQBoCCAAASEMAAQAAaQggAAAgDQEEAACkIYAAAIA0BBAAAJCGAAIAANIQQAAAQBoCCAAASEMAAQAAaUwY7QEAGFqri+7RHmHErS0rH+0RABgj3AECAADSEEAAAEAaAggAAEhDAAEAAGkIIAAAIA0BBAAApCGAAACANAQQAACQhgACAADSEEAAAEAaAggAAEhDAAEAAGkIIAAAIA0BBAAApCGAAACANAQQAACQhgACAADSEEAAAEAaAggAAEhDAAEAAGkIIAAAIA0BBAAApCGAAACANAQQAACQhgACAADSEEAAAEAaAggAAEhDAAEAAGkIIAAAIA0BBAAApCGAAACANAQQAACQhgACAADSEEAAAEAaAggAAEhDAAEAAGkIIAAAIA0BBAAApCGAAACANAQQAACQhgACAADSEEAAAEAaAggAAEhDAAEAAGlMGO0BgJG1tqx8tEcAABg17gABAABpCCAAACANAQQAAKQhgAAAgDQGFUCbNm2KWbNmRWVlZdTU1MSePXvO6bytW7dGWVlZLFy4cDCXBQAAOC8lB9C2bduioaEhGhsbY9++fTF79uyor6+P48ePv+d5R44cia997Wtx4403DnpYAACA81FyAG3YsCHuvPPOWL58eXzyk5+MzZs3x0UXXRRPP/30Wc/p6emJL33pS/Hwww/H5Zdffl4DAwAADFZJAdTd3R179+6Nurq6PzzBuHFRV1cXLS0tZz3vm9/8ZkydOjVuv/32c7pOV1dXdHR09HsAAACcr5IC6OTJk9HT0xNVVVX9jldVVUVra+uA5/zsZz+Lp556KrZs2XLO12lqaopJkyb1Paqrq0sZEwAAYEDD+i1wp06diiVLlsSWLVtiypQp53zeqlWror29ve9x7NixYZwSAADIYkIpi6dMmRLjx4+Ptra2fsfb2tpi2rRpZ6z/xS9+EUeOHIkFCxb0Hevt7f3dhSdMiEOHDsUVV1xxxnkVFRVRUVFRymgAAADvq6Q7QOXl5TF37txobm7uO9bb2xvNzc1RW1t7xvqrrroqXnnllThw4EDf4wtf+ELcfPPNceDAAW9tAwAARlRJd4AiIhoaGmLZsmUxb968mD9/fmzcuDE6Oztj+fLlERGxdOnSmDlzZjQ1NUVlZWVcffXV/c6/5JJLIiLOOA4AADDcSg6gRYsWxYkTJ2LNmjXR2toac+bMiZ07d/Z9McLRo0dj3Lhh/WgRAADAoJQVRVGM9hDvp6OjIyZNmhQRKyPCZ4MAPmxWF92jPcKIW1tWPtojAIwBXRGxPtrb22PixIlD8oxu1QAAAGkIIAAAIA0BBAAApCGAAACANAQQAACQhgACAADSEEAAAEAaAggAAEhDAAEAAGkIIAAAIA0BBAAApCGAAACANAQQAACQhgACAADSEEAAAEAaAggAAEhDAAEAAGkIIAAAIA0BBAAApCGAAACANAQQAACQhgACAADSEEAAAEAaAggAAEhDAAEAAGkIIAAAIA0BBAAApCGAAACANAQQAACQhgACAADSEEAAAEAaAggAAEhDAAEAAGkIIAAAIA0BBAAApCGAAACANAQQAACQhgACAADSEEAAAEAaAggAAEhDAAEAAGkIIAAAIA0BBAAApCGAAACANAQQAACQhgACAADSEEAAAEAaAggAAEhDAAEAAGkIIAAAIA0BBAAApCGAAACANAQQAACQhgACAADSEEAAAEAaAggAAEhDAAEAAGkIIAAAIA0BBAAApDFhtAcAgLVl5aM9AgBJuAMEAACkIYAAAIA0BBAAAJCGAAIAANIQQAAAQBoCCAAASEMAAQAAaQggAAAgDQEEAACkIYAAAIA0BBAAAJCGAAIAANIQQAAAQBoCCAAASEMAAQAAaQggAAAgDQEEAACkIYAAAIA0BBAAAJCGAAIAANIQQAAAQBoCCAAASEMAAQAAaQggAAAgDQEEAACkIYAAAIA0BBAAAJCGAAIAANIQQAAAQBoCCAAASEMAAQAAaQggAAAgDQEEAACkIYAAAIA0BBAAAJCGAAIAANIQQAAAQBoCCAAASEMAAQAAaQggAAAgDQEEAACkIYAAAIA0BBAAAJCGAAIAANIQQAAAQBoCCAAASEMAAQAAaQggAAAgDQEEAACkIYAAAIA0BBAAAJCGAAIAANIQQAAAQBoCCAAASEMAAQAAaQggAAAgDQEEAACkIYAAAIA0BBAAAJCGAAIAANIQQAAAQBoCCAAASEMAAQAAaQggAAAgDQEEAACkIYAAAIA0BBAAAJCGAAIAANIQQAAAQBoCCAAASEMAAQAAaQggAAAgDQEEAACkIYAAAIA0BBAAAJCGAAIAANIQQAAAQBoCCAAASEMAAQAAaQggAAAgDQEEAACkIYAAAIA0BBAAAJDGoAJo06ZNMWvWrKisrIyamprYs2fPWddu2bIlbrzxxpg8eXJMnjw56urq3nM9AADAcCk5gLZt2xYNDQ3R2NgY+/bti9mzZ0d9fX0cP358wPW7du2KxYsXx8svvxwtLS1RXV0dt9xyS7z55pvnPTwAAEApyoqiKEo5oaamJj7zmc/E448/HhERvb29UV1dHV/96ldj5cqV73t+T09PTJ48OR5//PFYunTpOV2zo6MjJk2aFBErI6KilHEBAIAxqysi1kd7e3tMnDhxSJ6xpDtA3d3dsXfv3qirq/vDE4wbF3V1ddHS0nJOz/HOO+/Eu+++G5deeulZ13R1dUVHR0e/BwAAwPkqKYBOnjwZPT09UVVV1e94VVVVtLa2ntNz3H///TFjxox+EfXHmpqaYtKkSX2P6urqUsYEAAAY0Ih+C9z69etj69at8fzzz0dlZeVZ161atSra29v7HseOHRvBKQEAgA+rCaUsnjJlSowfPz7a2tr6HW9ra4tp06a957mPPvporF+/Pn7yk5/Etdde+55rKyoqoqLCZ30AAIChVdIdoPLy8pg7d240Nzf3Hevt7Y3m5uaora0963nf/va345FHHomdO3fGvHnzBj8tAADAeSjpDlBERENDQyxbtizmzZsX8+fPj40bN0ZnZ2csX748IiKWLl0aM2fOjKampoiI+Md//MdYs2ZNPPvsszFr1qy+zwp95CMfiY985CND+FIAAADeW8kBtGjRojhx4kSsWbMmWltbY86cObFz586+L0Y4evRojBv3hxtL3/nOd6K7uzv+5m/+pt/zNDY2xje+8Y3zmx4AAKAEJf8coNHg5wABAEBGo/xzgAAAAMYyAQQAAKQhgAAAgDQEEAAAkIYAAgAA0hBAAABAGgIIAABIQwABAABpCCAAACANAQQAAKQhgAAAgDQEEAAAkIYAAgAA0hBAAABAGgIIAABIQwABAABpCCAAACANAQQAAKQhgAAAgDQEEAAAkIYAAgAA0hBAAABAGgIIAABIQwABAABpCCAAACANAQQAAKQhgAAAgDQEEAAAkIYAAgAA0hBAAABAGgIIAABIQwABAABpCCAAACANAQQAAKQhgAAAgDQEEAAAkIYAAgAA0hBAAABAGgIIAABIQwABAABpCCAAACANAQQAAKQhgAAAgDQEEAAAkIYAAgAA0hBAAABAGgIIAABIQwABAABpCCAAACANAQQAAKQhgAAAgDQEEAAAkIYAAgAA0hBAAABAGgIIAABIQwABAABpCCAAACANAQQAAKQhgAAAgDQEEAAAkIYAAgAA0hBAAABAGgIIAABIQwABAABpCCAAACANAQQAAKQhgAAAgDQEEAAAkIYAAgAA0hBAAABAGgIIAABIQwABAABpCCAAACANAQQAAKQhgAAAgDQEEAAAkIYAAgAA0hBAAABAGgIIAABIQwABAABpCCAAACANAQQAAKQhgAAAgDQEEAAAkIYAAgAA0hBAAABAGgIIAABIQwABAABpCCAAACANAQQAAKQhgAAAgDQEEAAAkIYAAgAA0hBAAABAGgIIAABIQwABAABpCCAAACANAQQAAKQhgAAAgDQEEAAAkIYAAgAA0hBAAABAGgIIAABIQwABAABpCCAAACANAQQAAKQhgAAAgDQEEAAAkIYAAgAA0hBAAABAGgIIAABIQwABAABpCCAAACANAQQAAKQhgAAAgDQEEAAAkIYAAgAA0hBAAABAGgIIAABIQwABAABpCCAAACANAQQAAKQhgAAAgDQEEAAAkIYAAgAA0hBAAABAGgIIAABIQwABAABpCCAAACANAQQAAKQhgAAAgDQEEAAAkIYAAgAA0hBAAABAGgIIAABIQwABAABpCCAAACANAQQAAKQhgAAAgDQEEAAAkIYAAgAA0hBAAABAGgIIAABIY1ABtGnTppg1a1ZUVlZGTU1N7Nmz5z3X/+AHP4irrroqKisr45prrokdO3YMalgAAIDzUXIAbdu2LRoaGqKxsTH27dsXs2fPjvr6+jh+/PiA63fv3h2LFy+O22+/Pfbv3x8LFy6MhQsXxquvvnrewwMAAJSirCiKopQTampq4jOf+Uw8/vjjERHR29sb1dXV8dWvfjVWrlx5xvpFixZFZ2dn/PjHP+479pd/+ZcxZ86c2Lx58zlds6OjIyZNmhQRKyOiopRxAQCAMasrItZHe3t7TJw4cUiecUIpi7u7u2Pv3r2xatWqvmPjxo2Lurq6aGlpGfCclpaWaGho6Hesvr4+XnjhhbNep6urK7q6uvp+3d7e/vvfKWVcAABgTPvd3/9LvGfznkoKoJMnT0ZPT09UVVX1O15VVRWvvfbagOe0trYOuL61tfWs12lqaoqHH354gN/5p1LGBQAAPgT++7//+/+9I+z8lRRAI2XVqlX97hq9/fbb8dGPfjSOHj06ZC8c/lhHR0dUV1fHsWPHhuwWK/wx+4yRYJ8xEuwzRkJ7e3tcdtllcemllw7Zc5YUQFOmTInx48dHW1tbv+NtbW0xbdq0Ac+ZNm1aSesjIioqKqKi4szP+kyaNMm/YAy7iRMn2mcMO/uMkWCfMRLsM0bCuHFD99N7Snqm8vLymDt3bjQ3N/cd6+3tjebm5qitrR3wnNra2n7rIyJeeumls64HAAAYLiW/Ba6hoSGWLVsW8+bNi/nz58fGjRujs7Mzli9fHhERS5cujZkzZ0ZTU1NERNxzzz1x0003xWOPPRa33nprbN26NX7+85/Hk08+ObSvBAAA4H2UHECLFi2KEydOxJo1a6K1tTXmzJkTO3fu7Puig6NHj/a7RXX99dfHs88+G6tXr44HHngg/uIv/iJeeOGFuPrqq8/5mhUVFdHY2Djg2+JgqNhnjAT7jJFgnzES7DNGwnDss5J/DhAAAMBYNXSfJgIAAPiAE0AAAEAaAggAAEhDAAEAAGl8YAJo06ZNMWvWrKisrIyamprYs2fPe67/wQ9+EFdddVVUVlbGNddcEzt27BihSRnLStlnW7ZsiRtvvDEmT54ckydPjrq6uvfdlxBR+p9nv7d169YoKyuLhQsXDu+AfCiUus/efvvtWLFiRUyfPj0qKiriyiuv9N9O3lep+2zjxo3x8Y9/PC688MKorq6O++67L37729+O0LSMNT/96U9jwYIFMWPGjCgrK4sXXnjhfc/ZtWtXfPrTn46Kior42Mc+Fs8880zJ1/1ABNC2bduioaEhGhsbY9++fTF79uyor6+P48ePD7h+9+7dsXjx4rj99ttj//79sXDhwli4cGG8+uqrIzw5Y0mp+2zXrl2xePHiePnll6OlpSWqq6vjlltuiTfffHOEJ2csKXWf/d6RI0fia1/7Wtx4440jNCljWan7rLu7Oz73uc/FkSNH4rnnnotDhw7Fli1bYubMmSM8OWNJqfvs2WefjZUrV0ZjY2McPHgwnnrqqdi2bVs88MADIzw5Y0VnZ2fMnj07Nm3adE7rf/nLX8att94aN998cxw4cCDuvffeuOOOO+LFF18s7cLFB8D8+fOLFStW9P26p6enmDFjRtHU1DTg+i9+8YvFrbfe2u9YTU1N8Xd/93fDOidjW6n77I+dPn26uPjii4vvfe97wzUiHwKD2WenT58urr/++uK73/1usWzZsuKv//qvR2BSxrJS99l3vvOd4vLLLy+6u7tHakQ+BErdZytWrCj+6q/+qt+xhoaG4oYbbhjWOflwiIji+eeff881X//614tPfepT/Y4tWrSoqK+vL+lao34HqLu7O/bu3Rt1dXV9x8aNGxd1dXXR0tIy4DktLS391kdE1NfXn3U9DGaf/bF33nkn3n333bj00kuHa0zGuMHus29+85sxderUuP3220diTMa4weyzH/3oR1FbWxsrVqyIqqqquPrqq2PdunXR09MzUmMzxgxmn11//fWxd+/evrfJHT58OHbs2BGf//znR2RmPvyGqgEmDOVQg3Hy5Mno6emJqqqqfserqqritddeG/Cc1tbWAde3trYO25yMbYPZZ3/s/vvvjxkzZpzxLx783mD22c9+9rN46qmn4sCBAyMwIR8Gg9lnhw8fjn//93+PL33pS7Fjx45444034itf+Uq8++670djYOBJjM8YMZp/ddtttcfLkyfjsZz8bRVHE6dOn4+677/YWOIbM2Rqgo6MjfvOb38SFF154Ts8z6neAYCxYv359bN26NZ5//vmorKwc7XH4kDh16lQsWbIktmzZElOmTBntcfgQ6+3tjalTp8aTTz4Zc+fOjUWLFsWDDz4YmzdvHu3R+BDZtWtXrFu3Lp544onYt29f/PCHP4zt27fHI488MtqjQT+jfgdoypQpMX78+Ghra+t3vK2tLaZNmzbgOdOmTStpPQxmn/3eo48+GuvXr4+f/OQnce211w7nmIxxpe6zX/ziF3HkyJFYsGBB37He3t6IiJgwYUIcOnQorrjiiuEdmjFnMH+eTZ8+PS644IIYP35837FPfOIT0draGt3d3VFeXj6sMzP2DGafPfTQQ7FkyZK44447IiLimmuuic7OzrjrrrviwQcfjHHj/H93zs/ZGmDixInnfPcn4gNwB6i8vDzmzp0bzc3Nfcd6e3ujubk5amtrBzyntra23/qIiJdeeums62Ew+ywi4tvf/nY88sgjsXPnzpg3b95IjMoYVuo+u+qqq+KVV16JAwcO9D2+8IUv9H27TXV19UiOzxgxmD/PbrjhhnjjjTf6Ajsi4vXXX4/p06eLHwY0mH32zjvvnBE5v4/u333GHc7PkDVAad/PMDy2bt1aVFRUFM8880zxX//1X8Vdd91VXHLJJUVra2tRFEWxZMmSYuXKlX3r/+M//qOYMGFC8eijjxYHDx4sGhsbiwsuuKB45ZVXRuslMAaUus/Wr19flJeXF88991zx61//uu9x6tSp0XoJjAGl7rM/5lvgOBel7rOjR48WF198cfH3f//3xaFDh4of//jHxdSpU4u1a9eO1ktgDCh1nzU2NhYXX3xx8a//+q/F4cOHi3/7t38rrrjiiuKLX/ziaL0EPuBOnTpV7N+/v9i/f38REcWGDRuK/fv3F7/61a+KoiiKlStXFkuWLOlbf/jw4eKiiy4q/uEf/qE4ePBgsWnTpmL8+PHFzp07S7ruByKAiqIo/vmf/7m47LLLivLy8mL+/PnFf/7nf/b93k033VQsW7as3/rvf//7xZVXXlmUl5cXn/rUp4rt27eP8MSMRaXss49+9KNFRJzxaGxsHPnBGVNK/fPs/yeAOFel7rPdu3cXNTU1RUVFRXH55ZcX3/rWt4rTp0+P8NSMNaXss3fffbf4xje+UVxxxRVFZWVlUV1dXXzlK18p/ud//mfkB2dMePnllwf8u9bv99WyZcuKm2666Yxz5syZU5SXlxeXX3558S//8i8lX7esKNyTBAAAchj1zwABAACMFAEEAACkIYAAAIA0BBAAAJCGAAIAANIQQAAAQBoCCAAASEMAAQAAaQggAAAgDQEEAACkIYAAAIA0BBAAAJDG/wGQh6xVF895TwAAAABJRU5ErkJggg==",
       "text/plain": [
        "<Figure size 1000x1000 with 1 Axes>"
       ]
@@ -752,7 +957,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.6"
+   "version": "3.12.2"
   }
  },
  "nbformat": 4,