diff --git a/docs/tutorials/notebooks/02_SI_wbirths_logistic_growth.ipynb b/docs/tutorials/notebooks/02_SI_wbirths_logistic_growth.ipynb
index 105645f..c41311d 100644
--- a/docs/tutorials/notebooks/02_SI_wbirths_logistic_growth.ipynb
+++ b/docs/tutorials/notebooks/02_SI_wbirths_logistic_growth.ipynb
@@ -6,7 +6,7 @@
    "source": [
     "# SI model with constant-population demographics\n",
     "\n",
-    "Building up from the SI model without demography, we next explore the addition of basic demographics - adding a birth rate & an equivalent, age-independent mortality rate $\\mu$ to keep constant total population.  The disease model remains the SI model.\n",
+    "Building up from the SI model without demography, we next explore the addition of basic demographics - adding a birth rate & an equivalent, age-independent mortality rate μ to keep constant total population.  The disease model remains the SI model.\n",
     "\n",
     "$$\n",
     "\\dot{S} = -\\frac{\\beta*S*I}{N} + \\mu N - \\mu S\n",
@@ -36,7 +36,7 @@
     "\n",
     "## Sanity check\n",
     "\n",
-    "The first test ensures certain basic constraints are being obeyed by the model.  We confirm that at each timestep, $S_t=N_t-I_t$.\n",
+    "The first test ensures certain basic constraints are being obeyed by the model.  We confirm that at each timestep, Sₜ = Nₜ - Iₜ.\n",
     "\n",
     "## Scientific test\n",
     "\n",
@@ -53,9 +53,9 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "np.__version__='2.2.6'\n",
-      "laser.core.__version__='0.8.0'\n",
-      "laser.generic.__version__='0.0.0'\n"
+      "np.__version__='2.4.6'\n",
+      "laser.core.__version__='1.0.2'\n",
+      "laser.generic.__version__='1.1.0'\n"
      ]
     }
    ],
@@ -83,24 +83,28 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "1,000,000 agents in 1 node(s): 100%|██████████| 730/730 [00:00<00:00, 770.66it/s] \n"
+      "1,000,000 agents in 1 node(s):   0%|          | 0/730 [00:00<?, ?it/s]"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "1,000,000 agents in 1 node(s): 100%|██████████| 730/730 [00:05<00:00, 139.64it/s]\n"
      ]
     }
    ],
    "source": [
     "pop = 1e6\n",
     "init_inf = 1\n",
-    "# Just for fun, use coordinates of Seattle, WA\n",
-    "latitude = 47+(36+(35/60))/60\n",
-    "longitude = -(122+(19+(59/60))/60)\n",
-    "scenario = grid(M=1, N=1, node_size_degs=0.08983, population_fn=lambda x, y:  pop,  origin_x=longitude, origin_y=latitude)\n",
+    "scenario = grid(M=1, N=1, node_size_degs=0.08983, population_fn=lambda x, y:  pop)\n",
     "scenario[\"S\"] = scenario.population - init_inf\n",
     "scenario[\"I\"] = init_inf\n",
     "parameters = PropertySet({\"prng_seed\": 314159265, \"nticks\": 730, \"verbose\": True, \"beta\": 0.04, \"cbr\": 40.0})\n",
@@ -148,7 +152,7 @@
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -162,6 +166,7 @@
     "N = model.nodes.S + model.nodes.I\n",
     "plt.plot(N - model.nodes.S, \"--\", lw=3)\n",
     "plt.yscale(\"log\")\n",
+    "plt.ylabel('N'); plt.xlabel('Time (days)')\n",
     "plt.legend([\"Population minus currently infected\", \"Susceptible\", \"Population minus cumulative infections (incidence)\"])\n",
     "\n",
     "print(\"S = N-I:  \" + str(np.isclose(model.nodes.S, N - model.nodes.I).all()))"
@@ -171,7 +176,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "The below plot shows the model output, the expected logistic growth curve, and the expected logistic growth curve fit to the model with a free offset $t_0$ to account for stochasticity in when the outbreak takes off.  The resulting plot should show good concordance between the model output and the expected logistic equation with the known model inputs $\\beta$ and population.\n",
+    "The below plot shows the model output, the expected logistic growth curve, and the expected logistic growth curve fit to the model with a free offset t₀ to account for stochasticity in when the outbreak takes off.  The resulting plot should show good concordance between the model output and the expected logistic equation with the known model inputs β and population.\n",
     "The goodness of this fit could be turned into a strict pass/fail test down the line."
    ]
   },
@@ -182,7 +187,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -212,6 +217,7 @@
     "plt.plot(SI_logistic(t, model.params.beta, pop, model.params.cbr, 0), lw=3)\n",
     "plt.plot(SI_logistic(t, model.params.beta, pop, model.params.cbr, t0_opt), \"r:\", lw=3)\n",
     "plt.yscale(\"log\")\n",
+    "plt.ylabel('Cases'); plt.xlabel('Time (days)')\n",
     "plt.legend([\"Model output\", \"Logistic growth with known inputs, t0=0\", f\"Logistic growth with known inputs, best-fit t0 = {t0_opt:.1f}\"])\n",
     "plt.show()"
    ]
@@ -230,23 +236,30 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "SI Model  1 of 10 (beta=0.01000, cbr= 35): 100%|██████████| 1825/1825 [00:01<00:00, 1794.48it/s]\n",
-      "SI Model  2 of 10 (beta=0.01500, cbr= 39): 100%|██████████| 1825/1825 [00:00<00:00, 2490.88it/s]\n",
-      "SI Model  3 of 10 (beta=0.02000, cbr= 44): 100%|██████████| 1825/1825 [00:00<00:00, 2423.67it/s]\n",
-      "SI Model  4 of 10 (beta=0.02500, cbr= 36): 100%|██████████| 1825/1825 [00:00<00:00, 2585.27it/s]\n",
-      "SI Model  5 of 10 (beta=0.03000, cbr= 24): 100%|██████████| 1825/1825 [00:00<00:00, 2550.20it/s]\n",
-      "SI Model  6 of 10 (beta=0.03500, cbr= 20): 100%|██████████| 1825/1825 [00:00<00:00, 2560.97it/s]\n",
-      "SI Model  7 of 10 (beta=0.04000, cbr= 43): 100%|██████████| 1825/1825 [00:00<00:00, 2466.55it/s]\n",
-      "SI Model  8 of 10 (beta=0.04500, cbr= 43): 100%|██████████| 1825/1825 [00:00<00:00, 2597.58it/s]\n",
-      "SI Model  9 of 10 (beta=0.05000, cbr= 24): 100%|██████████| 1825/1825 [00:00<00:00, 2605.91it/s]\n",
-      "SI Model 10 of 10 (beta=0.05500, cbr= 30): 100%|██████████| 1825/1825 [00:00<00:00, 2611.21it/s]\n"
+      "SI Model  1 of 10 (beta=0.01000, cbr= 35):   0%|          | 0/1825 [00:00<?, ?it/s]"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "SI Model  1 of 10 (beta=0.01000, cbr= 35): 100%|██████████| 1825/1825 [00:12<00:00, 149.61it/s]\n",
+      "SI Model  2 of 10 (beta=0.01500, cbr= 39): 100%|██████████| 1825/1825 [00:10<00:00, 179.83it/s]\n",
+      "SI Model  3 of 10 (beta=0.02000, cbr= 44): 100%|██████████| 1825/1825 [00:02<00:00, 807.78it/s] \n",
+      "SI Model  4 of 10 (beta=0.02500, cbr= 36): 100%|██████████| 1825/1825 [00:00<00:00, 3547.40it/s]\n",
+      "SI Model  5 of 10 (beta=0.03000, cbr= 24): 100%|██████████| 1825/1825 [00:00<00:00, 2545.46it/s]\n",
+      "SI Model  6 of 10 (beta=0.03500, cbr= 20): 100%|██████████| 1825/1825 [00:00<00:00, 3318.44it/s]\n",
+      "SI Model  7 of 10 (beta=0.04000, cbr= 43): 100%|██████████| 1825/1825 [00:00<00:00, 3611.48it/s]\n",
+      "SI Model  8 of 10 (beta=0.04500, cbr= 43): 100%|██████████| 1825/1825 [00:00<00:00, 2703.90it/s]\n",
+      "SI Model  9 of 10 (beta=0.05000, cbr= 24): 100%|██████████| 1825/1825 [00:00<00:00, 3784.18it/s]\n",
+      "SI Model 10 of 10 (beta=0.05500, cbr= 30): 100%|██████████| 1825/1825 [00:00<00:00, 3577.72it/s]\n"
      ]
     }
    ],
@@ -258,7 +271,7 @@
     "betas = [0.005 + 0.005 * i for i in range(1, NTESTS+1)]\n",
     "cbrs = np.random.randint(15, 50, NTESTS)\n",
     "\n",
-    "scenario = grid(M=1, N=1, node_size_degs=0.08983, population_fn=lambda x, y:  pop,  origin_x=longitude, origin_y=latitude)\n",
+    "scenario = grid(M=1, N=1, node_size_degs=0.08983, population_fn=lambda x, y:  pop)\n",
     "init_inf = 5\n",
     "scenario[\"S\"] = scenario.population - init_inf\n",
     "scenario[\"I\"] = init_inf\n",
@@ -279,11 +292,11 @@
     "    model.run(label=f\"SI Model {i+1:2} of {NTESTS} (beta={beta:0.05f}, cbr={cbr:3})\")\n",
     "    cases = model.nodes.I[:-1, 0]\n",
     "    popt, pcov = curve_fit(\n",
-    "        SI_logistic,\n",
+    "        lambda t, beta, cbr, t0: SI_logistic(t, beta, pop, cbr, t0),\n",
     "        np.arange(nticks),\n",
     "        cases,\n",
-    "        p0=[beta * (1 + 0.1 * np.random.normal()), pop, cbr * (1 + 0.1 * np.random.normal()), 1],\n",
-    "        bounds=([0, pop - 1, 0, -100], [1, pop + 1, 600, 100]),\n",
+    "        p0=[beta * (1 + 0.1 * np.random.normal()), cbr * (1 + 0.1 * np.random.normal()), 1],\n",
+    "        bounds=([0, 0, -600], [1, 600, 600]),\n",
     "    )\n",
     "    # Pandas complains about concatenating rows to an empty DataFrame, so build a list of dicts and convert at the end\n",
     "    output.append({\n",
@@ -292,9 +305,8 @@
     "        \"cbr\": cbr,\n",
     "        \"cases\": np.array(cases),\n",
     "        \"fitted_beta\": popt[0],\n",
-    "        \"fitted_size\": popt[1],\n",
-    "        \"fitted_cbr\": popt[2],\n",
-    "        \"fitted_t0\": popt[3],\n",
+    "        \"fitted_cbr\": popt[1],\n",
+    "        \"fitted_t0\": popt[2],\n",
     "        \"births\": np.array(model.nodes.births[:-1, 0])\n",
     "    })\n",
     "\n",
@@ -308,49 +320,9 @@
    "outputs": [
     {
      "data": {
+      "image/png": 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",
       "text/plain": [
-       "(-0.2, 0.2)"
-      ]
-     },
-     "execution_count": 6,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
+       "<Figure size 1000x800 with 4 Axes>"
       ]
      },
      "metadata": {},
@@ -358,22 +330,29 @@
     }
    ],
    "source": [
-    "plt.figure()\n",
-    "plt.plot(output[\"beta\"], output[\"fitted_beta\"], \"o\")\n",
-    "plt.xlim(0.00, 0.06)\n",
-    "plt.ylim(0.00, 0.06)\n",
-    "plt.figure()\n",
-    "plt.plot(output[\"beta\"], (output[\"beta\"] - output[\"fitted_beta\"]) / output[\"fitted_beta\"], \"o\")\n",
-    "plt.xlim(0.00, 0.06)\n",
-    "plt.ylim(-0.1, 0.10)\n",
-    "plt.figure()\n",
-    "plt.plot(output[\"cbr\"], output[\"fitted_cbr\"], \"o\")\n",
-    "plt.xlim(15, 50)\n",
-    "plt.ylim(15, 50)\n",
-    "plt.figure()\n",
-    "plt.plot(output[\"cbr\"], (output[\"cbr\"] - output[\"fitted_cbr\"]) / output[\"fitted_cbr\"], \"o\")\n",
-    "plt.xlim(15, 50)\n",
-    "plt.ylim(-0.2, 0.2)"
+    "fig, axes = plt.subplots(2, 2, figsize=(10, 8))\n",
+    "\n",
+    "ax = axes[0, 0]\n",
+    "ax.plot(output[\"beta\"], output[\"fitted_beta\"], \"o\")\n",
+    "ax.plot([0, 0.06], [0, 0.06], '--k')\n",
+    "ax.set(xlabel=\"beta\", ylabel=\"fitted beta\", xlim=[0, 0.06], ylim=[0, 0.06])\n",
+    "\n",
+    "ax = axes[0, 1]\n",
+    "ax.plot(output[\"beta\"], (output[\"beta\"] - output[\"fitted_beta\"]) / output[\"fitted_beta\"], \"o\")\n",
+    "ax.axhline(0, color='k', ls='--')\n",
+    "ax.set(xlabel=\"beta\", ylabel=\"relative error\", xlim=[0, 0.06], ylim=[-0.1, 0.1])\n",
+    "\n",
+    "ax = axes[1, 0]\n",
+    "ax.plot(output[\"cbr\"], output[\"fitted_cbr\"], \"o\", color='C1')\n",
+    "ax.plot([15, 50], [15, 50], '--k')\n",
+    "ax.set(xlabel=\"birth rate\", ylabel=\"fitted birth rate\", xlim=[15, 50], ylim=[15, 50])\n",
+    "\n",
+    "ax = axes[1, 1]\n",
+    "ax.plot(output[\"cbr\"], (output[\"cbr\"] - output[\"fitted_cbr\"]) / output[\"fitted_cbr\"], \"o\", color='C1')\n",
+    "ax.axhline(0, color='k', ls='--')\n",
+    "ax.set(xlabel=\"birth rate\", ylabel=\"relative error\", xlim=[15, 50], ylim=[-0.2, 0.2])\n",
+    "\n",
+    "plt.tight_layout()"
    ]
   },
   {
@@ -385,16 +364,20 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "All fitted beta are within 10% of known beta: False\n",
-      "All fitted CBR are within 10% of known CBR: False\n"
+      "All fitted beta are within 10% of known beta\n",
+      "All fitted CBR are within 10% of known CBR\n"
      ]
     }
    ],
    "source": [
-    "print(\n",
-    "    r\"All fitted beta are within 10% of known beta: \" + str(np.all(np.abs((output[\"beta\"] - output[\"fitted_beta\"]) / output[\"beta\"]) < 0.10))\n",
-    ")\n",
-    "print(r\"All fitted CBR are within 10% of known CBR: \" + str(np.all(np.abs((output[\"cbr\"] - output[\"fitted_cbr\"]) / output[\"cbr\"]) < 0.10)))"
+    "if np.all(np.abs((output[\"beta\"] - output[\"fitted_beta\"]) / output[\"beta\"]) < 0.10):\n",
+    "    print(r'All fitted beta are within 10% of known beta')\n",
+    "else:\n",
+    "    raise RuntimeError('Error estimating beta')\n",
+    "if np.all(np.abs((output[\"cbr\"] - output[\"fitted_cbr\"]) / output[\"cbr\"]) < 0.10):\n",
+    "    print(r'All fitted CBR are within 10% of known CBR')\n",
+    "else:\n",
+    "    raise RuntimeError('Error estimating CBR')"
    ]
   },
   {
@@ -404,187 +387,6 @@
    "outputs": [
     {
      "data": {
-      "application/vnd.microsoft.datawrangler.viewer.v0+json": {
-       "columns": [
-        {
-         "name": "index",
-         "rawType": "int64",
-         "type": "integer"
-        },
-        {
-         "name": "seed",
-         "rawType": "int64",
-         "type": "integer"
-        },
-        {
-         "name": "beta",
-         "rawType": "float64",
-         "type": "float"
-        },
-        {
-         "name": "cbr",
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@@ -609,7 +411,6 @@
        "      <th>cbr</th>\n",
        "      <th>cases</th>\n",
        "      <th>fitted_beta</th>\n",
-       "      <th>fitted_size</th>\n",
        "      <th>fitted_cbr</th>\n",
        "      <th>fitted_t0</th>\n",
        "      <th>births</th>\n",
@@ -621,120 +422,110 @@
        "      <td>42</td>\n",
        "      <td>0.010</td>\n",
        "      <td>35</td>\n",
-       "      <td>[5, 5, 5, 5, 5, 5, 5, 6, 6, 6, 6, 6, 6, 6, 6, ...</td>\n",
-       "      <td>0.009940</td>\n",
-       "      <td>99999.007591</td>\n",
-       "      <td>34.565326</td>\n",
-       "      <td>-70.529155</td>\n",
-       "      <td>[10, 8, 11, 12, 13, 11, 8, 7, 13, 5, 9, 7, 7, ...</td>\n",
+       "      <td>[5, 5, 5, 5, 5, 5, 5, 5, 6, 6, 6, 6, 6, 6, 6, ...</td>\n",
+       "      <td>0.009958</td>\n",
+       "      <td>34.758269</td>\n",
+       "      <td>-119.455411</td>\n",
+       "      <td>[11, 8, 15, 7, 11, 10, 12, 10, 8, 13, 8, 10, 5...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
        "      <td>43</td>\n",
        "      <td>0.015</td>\n",
        "      <td>39</td>\n",
-       "      <td>[5, 5, 5, 5, 5, 5, 5, 6, 6, 6, 6, 6, 6, 6, 6, ...</td>\n",
-       "      <td>0.014991</td>\n",
-       "      <td>99999.626398</td>\n",
-       "      <td>39.390367</td>\n",
-       "      <td>-41.963303</td>\n",
-       "      <td>[9, 9, 11, 15, 13, 13, 9, 8, 13, 6, 7, 6, 7, 6...</td>\n",
+       "      <td>[5, 5, 5, 5, 5, 5, 5, 5, 6, 6, 7, 7, 7, 7, 8, ...</td>\n",
+       "      <td>0.014925</td>\n",
+       "      <td>40.489263</td>\n",
+       "      <td>-105.854526</td>\n",
+       "      <td>[11, 9, 17, 7, 13, 14, 13, 10, 10, 13, 10, 10,...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
        "      <td>44</td>\n",
        "      <td>0.020</td>\n",
        "      <td>44</td>\n",
-       "      <td>[5, 5, 5, 5, 5, 5, 5, 7, 7, 7, 7, 7, 7, 7, 7, ...</td>\n",
-       "      <td>0.019905</td>\n",
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-       "      <td>44.884177</td>\n",
-       "      <td>-55.130534</td>\n",
-       "      <td>[11, 10, 14, 16, 16, 14, 11, 9, 17, 10, 7, 6, ...</td>\n",
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+       "      <td>0.019777</td>\n",
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+       "      <td>-103.245971</td>\n",
+       "      <td>[13, 13, 20, 9, 16, 17, 15, 10, 9, 16, 10, 11,...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
        "      <td>45</td>\n",
        "      <td>0.025</td>\n",
        "      <td>36</td>\n",
-       "      <td>[5, 5, 5, 5, 5, 5, 5, 7, 7, 8, 8, 8, 8, 8, 9, ...</td>\n",
-       "      <td>0.024765</td>\n",
-       "      <td>100000.951336</td>\n",
-       "      <td>36.605541</td>\n",
-       "      <td>-84.486835</td>\n",
-       "      <td>[11, 6, 12, 10, 12, 9, 10, 9, 14, 6, 6, 5, 7, ...</td>\n",
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+       "      <td>0.024846</td>\n",
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+       "      <td>-70.111833</td>\n",
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        "      <th>4</th>\n",
        "      <td>46</td>\n",
        "      <td>0.030</td>\n",
        "      <td>24</td>\n",
-       "      <td>[5, 5, 5, 5, 6, 6, 6, 8, 8, 9, 9, 9, 9, 9, 10,...</td>\n",
-       "      <td>0.029834</td>\n",
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-       "      <td>23.669753</td>\n",
-       "      <td>-50.351108</td>\n",
-       "      <td>[8, 5, 10, 6, 9, 8, 5, 6, 8, 7, 4, 4, 3, 4, 7,...</td>\n",
+       "      <td>[5, 5, 5, 5, 6, 6, 6, 6, 8, 8, 9, 9, 9, 9, 10,...</td>\n",
+       "      <td>0.029754</td>\n",
+       "      <td>23.852361</td>\n",
+       "      <td>-57.810089</td>\n",
+       "      <td>[8, 8, 9, 3, 9, 12, 7, 4, 7, 5, 4, 7, 4, 8, 4,...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>5</th>\n",
        "      <td>47</td>\n",
        "      <td>0.035</td>\n",
        "      <td>20</td>\n",
-       "      <td>[5, 5, 5, 5, 6, 6, 6, 8, 8, 9, 9, 9, 9, 9, 9, ...</td>\n",
-       "      <td>0.034823</td>\n",
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-       "      <td>20.099099</td>\n",
-       "      <td>-36.224436</td>\n",
-       "      <td>[6, 4, 8, 6, 9, 8, 2, 4, 6, 6, 2, 5, 2, 4, 6, ...</td>\n",
+       "      <td>[5, 5, 5, 5, 6, 7, 7, 7, 9, 9, 11, 11, 11, 11,...</td>\n",
+       "      <td>0.034675</td>\n",
+       "      <td>19.870953</td>\n",
+       "      <td>-64.066056</td>\n",
+       "      <td>[6, 6, 7, 1, 7, 11, 6, 2, 5, 4, 5, 5, 2, 7, 4,...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>6</th>\n",
        "      <td>48</td>\n",
        "      <td>0.040</td>\n",
        "      <td>43</td>\n",
-       "      <td>[5, 5, 5, 5, 6, 6, 7, 9, 9, 10, 11, 11, 11, 12...</td>\n",
-       "      <td>0.046975</td>\n",
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-       "      <td>49.318404</td>\n",
-       "      <td>-3.509135</td>\n",
-       "      <td>[12, 9, 13, 16, 16, 10, 7, 9, 15, 12, 7, 11, 8...</td>\n",
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+       "      <td>0.039643</td>\n",
+       "      <td>43.745519</td>\n",
+       "      <td>-46.206885</td>\n",
+       "      <td>[15, 12, 17, 8, 12, 18, 12, 8, 12, 14, 9, 13, ...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>7</th>\n",
        "      <td>49</td>\n",
        "      <td>0.045</td>\n",
        "      <td>43</td>\n",
-       "      <td>[5, 5, 5, 5, 6, 6, 7, 9, 9, 10, 11, 11, 11, 12...</td>\n",
-       "      <td>0.044259</td>\n",
-       "      <td>99999.153032</td>\n",
-       "      <td>41.945374</td>\n",
-       "      <td>-43.982684</td>\n",
-       "      <td>[12, 9, 11, 14, 16, 10, 8, 10, 15, 12, 8, 13, ...</td>\n",
+       "      <td>[5, 5, 5, 5, 6, 7, 7, 7, 9, 9, 11, 11, 11, 11,...</td>\n",
+       "      <td>0.044558</td>\n",
+       "      <td>43.297784</td>\n",
+       "      <td>-37.273235</td>\n",
+       "      <td>[13, 13, 16, 7, 13, 21, 13, 8, 11, 13, 9, 15, ...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>8</th>\n",
        "      <td>50</td>\n",
        "      <td>0.050</td>\n",
        "      <td>24</td>\n",
-       "      <td>[5, 5, 5, 5, 6, 6, 7, 8, 8, 9, 10, 10, 10, 11,...</td>\n",
-       "      <td>0.049637</td>\n",
-       "      <td>100000.781621</td>\n",
-       "      <td>23.789704</td>\n",
-       "      <td>-34.963477</td>\n",
-       "      <td>[8, 6, 8, 4, 13, 7, 5, 5, 6, 7, 5, 5, 4, 6, 9,...</td>\n",
+       "      <td>[5, 5, 5, 5, 5, 6, 6, 6, 7, 7, 9, 9, 9, 9, 10,...</td>\n",
+       "      <td>0.049486</td>\n",
+       "      <td>23.753340</td>\n",
+       "      <td>-25.510030</td>\n",
+       "      <td>[8, 9, 9, 2, 9, 13, 6, 4, 5, 3, 4, 7, 4, 8, 4,...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>9</th>\n",
        "      <td>51</td>\n",
        "      <td>0.055</td>\n",
        "      <td>30</td>\n",
-       "      <td>[5, 5, 5, 5, 6, 6, 7, 8, 8, 9, 10, 10, 10, 11,...</td>\n",
-       "      <td>0.054339</td>\n",
-       "      <td>100000.691986</td>\n",
-       "      <td>29.663588</td>\n",
-       "      <td>-28.076344</td>\n",
-       "      <td>[9, 9, 9, 7, 15, 8, 8, 5, 7, 6, 6, 7, 8, 6, 10...</td>\n",
+       "      <td>[5, 5, 5, 5, 5, 5, 5, 5, 6, 6, 8, 8, 8, 8, 9, ...</td>\n",
+       "      <td>0.054367</td>\n",
+       "      <td>28.672734</td>\n",
+       "      <td>-19.017751</td>\n",
+       "      <td>[8, 11, 9, 3, 9, 16, 9, 8, 5, 6, 6, 8, 6, 9, 7...</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -742,40 +533,40 @@
       ],
       "text/plain": [
        "   seed   beta  cbr                                              cases  \\\n",
-       "0    42  0.010   35  [5, 5, 5, 5, 5, 5, 5, 6, 6, 6, 6, 6, 6, 6, 6, ...   \n",
-       "1    43  0.015   39  [5, 5, 5, 5, 5, 5, 5, 6, 6, 6, 6, 6, 6, 6, 6, ...   \n",
-       "2    44  0.020   44  [5, 5, 5, 5, 5, 5, 5, 7, 7, 7, 7, 7, 7, 7, 7, ...   \n",
-       "3    45  0.025   36  [5, 5, 5, 5, 5, 5, 5, 7, 7, 8, 8, 8, 8, 8, 9, ...   \n",
-       "4    46  0.030   24  [5, 5, 5, 5, 6, 6, 6, 8, 8, 9, 9, 9, 9, 9, 10,...   \n",
-       "5    47  0.035   20  [5, 5, 5, 5, 6, 6, 6, 8, 8, 9, 9, 9, 9, 9, 9, ...   \n",
-       "6    48  0.040   43  [5, 5, 5, 5, 6, 6, 7, 9, 9, 10, 11, 11, 11, 12...   \n",
-       "7    49  0.045   43  [5, 5, 5, 5, 6, 6, 7, 9, 9, 10, 11, 11, 11, 12...   \n",
-       "8    50  0.050   24  [5, 5, 5, 5, 6, 6, 7, 8, 8, 9, 10, 10, 10, 11,...   \n",
-       "9    51  0.055   30  [5, 5, 5, 5, 6, 6, 7, 8, 8, 9, 10, 10, 10, 11,...   \n",
+       "0    42  0.010   35  [5, 5, 5, 5, 5, 5, 5, 5, 6, 6, 6, 6, 6, 6, 6, ...   \n",
+       "1    43  0.015   39  [5, 5, 5, 5, 5, 5, 5, 5, 6, 6, 7, 7, 7, 7, 8, ...   \n",
+       "2    44  0.020   44  [5, 5, 5, 5, 5, 5, 5, 5, 7, 7, 8, 8, 8, 8, 9, ...   \n",
+       "3    45  0.025   36  [5, 5, 5, 5, 5, 5, 5, 5, 7, 7, 8, 8, 9, 9, 10,...   \n",
+       "4    46  0.030   24  [5, 5, 5, 5, 6, 6, 6, 6, 8, 8, 9, 9, 9, 9, 10,...   \n",
+       "5    47  0.035   20  [5, 5, 5, 5, 6, 7, 7, 7, 9, 9, 11, 11, 11, 11,...   \n",
+       "6    48  0.040   43  [5, 5, 5, 5, 6, 7, 7, 7, 9, 9, 11, 11, 11, 11,...   \n",
+       "7    49  0.045   43  [5, 5, 5, 5, 6, 7, 7, 7, 9, 9, 11, 11, 11, 11,...   \n",
+       "8    50  0.050   24  [5, 5, 5, 5, 5, 6, 6, 6, 7, 7, 9, 9, 9, 9, 10,...   \n",
+       "9    51  0.055   30  [5, 5, 5, 5, 5, 5, 5, 5, 6, 6, 8, 8, 8, 8, 9, ...   \n",
        "\n",
-       "   fitted_beta    fitted_size  fitted_cbr  fitted_t0  \\\n",
-       "0     0.009940   99999.007591   34.565326 -70.529155   \n",
-       "1     0.014991   99999.626398   39.390367 -41.963303   \n",
-       "2     0.019905   99999.976583   44.884177 -55.130534   \n",
-       "3     0.024765  100000.951336   36.605541 -84.486835   \n",
-       "4     0.029834  100000.057103   23.669753 -50.351108   \n",
-       "5     0.034823  100000.253809   20.099099 -36.224436   \n",
-       "6     0.046975   99999.505145   49.318404  -3.509135   \n",
-       "7     0.044259   99999.153032   41.945374 -43.982684   \n",
-       "8     0.049637  100000.781621   23.789704 -34.963477   \n",
-       "9     0.054339  100000.691986   29.663588 -28.076344   \n",
+       "   fitted_beta  fitted_cbr   fitted_t0  \\\n",
+       "0     0.009958   34.758269 -119.455411   \n",
+       "1     0.014925   40.489263 -105.854526   \n",
+       "2     0.019777   43.457722 -103.245971   \n",
+       "3     0.024846   36.661162  -70.111833   \n",
+       "4     0.029754   23.852361  -57.810089   \n",
+       "5     0.034675   19.870953  -64.066056   \n",
+       "6     0.039643   43.745519  -46.206885   \n",
+       "7     0.044558   43.297784  -37.273235   \n",
+       "8     0.049486   23.753340  -25.510030   \n",
+       "9     0.054367   28.672734  -19.017751   \n",
        "\n",
        "                                              births  \n",
-       "0  [10, 8, 11, 12, 13, 11, 8, 7, 13, 5, 9, 7, 7, ...  \n",
-       "1  [9, 9, 11, 15, 13, 13, 9, 8, 13, 6, 7, 6, 7, 6...  \n",
-       "2  [11, 10, 14, 16, 16, 14, 11, 9, 17, 10, 7, 6, ...  \n",
-       "3  [11, 6, 12, 10, 12, 9, 10, 9, 14, 6, 6, 5, 7, ...  \n",
-       "4  [8, 5, 10, 6, 9, 8, 5, 6, 8, 7, 4, 4, 3, 4, 7,...  \n",
-       "5  [6, 4, 8, 6, 9, 8, 2, 4, 6, 6, 2, 5, 2, 4, 6, ...  \n",
-       "6  [12, 9, 13, 16, 16, 10, 7, 9, 15, 12, 7, 11, 8...  \n",
-       "7  [12, 9, 11, 14, 16, 10, 8, 10, 15, 12, 8, 13, ...  \n",
-       "8  [8, 6, 8, 4, 13, 7, 5, 5, 6, 7, 5, 5, 4, 6, 9,...  \n",
-       "9  [9, 9, 9, 7, 15, 8, 8, 5, 7, 6, 6, 7, 8, 6, 10...  "
+       "0  [11, 8, 15, 7, 11, 10, 12, 10, 8, 13, 8, 10, 5...  \n",
+       "1  [11, 9, 17, 7, 13, 14, 13, 10, 10, 13, 10, 10,...  \n",
+       "2  [13, 13, 20, 9, 16, 17, 15, 10, 9, 16, 10, 11,...  \n",
+       "3  [11, 11, 18, 6, 12, 13, 13, 8, 9, 12, 9, 10, 6...  \n",
+       "4  [8, 8, 9, 3, 9, 12, 7, 4, 7, 5, 4, 7, 4, 8, 4,...  \n",
+       "5  [6, 6, 7, 1, 7, 11, 6, 2, 5, 4, 5, 5, 2, 7, 4,...  \n",
+       "6  [15, 12, 17, 8, 12, 18, 12, 8, 12, 14, 9, 13, ...  \n",
+       "7  [13, 13, 16, 7, 13, 21, 13, 8, 11, 13, 9, 15, ...  \n",
+       "8  [8, 9, 9, 2, 9, 13, 6, 4, 5, 3, 4, 7, 4, 8, 4,...  \n",
+       "9  [8, 11, 9, 3, 9, 16, 9, 8, 5, 6, 6, 8, 6, 9, 7...  "
       ]
      },
      "execution_count": 8,
@@ -794,7 +585,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
+      "image/png": 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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -804,20 +595,20 @@
     }
    ],
    "source": [
-    "row = output.iloc[9]\n",
+    "row = output.iloc[row_num:=9]\n",
     "cases_row = row[\"cases\"]\n",
     "fitted_beta = row[\"fitted_beta\"]\n",
-    "fitted_size = row[\"fitted_size\"]\n",
     "fitted_cbr = row[\"fitted_cbr\"]\n",
     "fitted_t0 = row[\"fitted_t0\"]\n",
     "\n",
     "plt.figure()\n",
     "plt.plot(cases_row, label=\"Case Trace\")\n",
-    "plt.plot(SI_logistic(np.arange(nticks), fitted_beta, fitted_size, fitted_cbr, fitted_t0), label=\"Logistic Fit\", ls=\"--\")\n",
+    "plt.plot(SI_logistic(np.arange(nticks), fitted_beta, pop, fitted_cbr, fitted_t0), label=\"Logistic Fit\", ls=\"--\")\n",
     "plt.legend()\n",
     "plt.xlabel(\"Time (days)\")\n",
     "plt.ylabel(\"Cases\")\n",
-    "plt.title(\"Case Trace and Logistic Fit for Row 0\")\n",
+    "plt.title(f\"Case Trace and Logistic Fit for Row {row_num}\")\n",
+    "plt.yscale('log')\n",
     "# plt.ylim(9.8e5, 1e6)\n",
     "plt.show()"
    ]
@@ -826,13 +617,13 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Just an interesting note - because I kicked the simulations off with 3 infections rather than 1 (to ensure that the initial infection doesn't die before infecting someone), we consistently get a negative fit value for t0, and one that is a larger negative value for the lowest β values."
+    "Just an interesting note - because I kicked the simulations off with 3 infections rather than 1 (to ensure that the initial infection doesn't die before infecting someone), we consistently get a negative fit value for t₀, and one that is a larger negative value for the lowest β values."
    ]
   }
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": ".venv",
+   "display_name": "laser-generic (3.13.11)",
    "language": "python",
    "name": "python3"
   },
@@ -846,7 +637,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.12.12"
+   "version": "3.13.11"
   }
  },
  "nbformat": 4,