From bc004e8a4b097a0b195b219e3f0fc943e291b91a Mon Sep 17 00:00:00 2001
From: Niklas Baertl <utkql@student.kit.edu>
Date: Thu, 28 Nov 2024 17:48:27 +0100
Subject: [PATCH] bla

---
 .../Pr\303\244zession 4 (fern).csv"           |  0
 Kreisel/Kreisel_neu.ipynb                     | 44 ++++++++++
 Oszilloskop/Oszilloskop.ipynb                 |  2 +-
 Pendel/Pendel.ipynb                           | 88 +++++++++----------
 Pendel/Pendel_Hinweise.ipynb                  | 12 +++
 5 files changed, 100 insertions(+), 46 deletions(-)
 rename Kreisel/Aufgabe 2.2/Prazision 4 (fern).csv => "Kreisel/Aufgabe 2.2/Pr\303\244zession 4 (fern).csv" (100%)

diff --git a/Kreisel/Aufgabe 2.2/Prazision 4 (fern).csv "b/Kreisel/Aufgabe 2.2/Pr\303\244zession 4 (fern).csv"
similarity index 100%
rename from Kreisel/Aufgabe 2.2/Prazision 4 (fern).csv
rename to "Kreisel/Aufgabe 2.2/Pr\303\244zession 4 (fern).csv"
diff --git a/Kreisel/Kreisel_neu.ipynb b/Kreisel/Kreisel_neu.ipynb
index 5e9c004..d9106f5 100644
--- a/Kreisel/Kreisel_neu.ipynb
+++ b/Kreisel/Kreisel_neu.ipynb
@@ -367,6 +367,50 @@
     "---"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "id": "10e2c672",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "pra_1 = pd.read_csv(\"Aufgabe 2.2/Präzession 1 (nah).csv\")\n",
+    "pra_2 = pd.read_csv(\"Aufgabe 2.2/Präzession 2 (nah).csv\")\n",
+    "pra_3 = pd.read_csv(\"Aufgabe 2.2/Präzession 3 (fern).csv\")\n",
+    "pra_4 = pd.read_csv(\"Aufgabe 2.2/Präzession 4 (fern).csv\")\n",
+    "\n",
+    "f_1 = pra_1['Frequenz']\n",
+    "T_1 = pra_1['Periodendauer']\n",
+    "\n",
+    "f_2 = pra_2['Frequenz']\n",
+    "T_2 = pra_2['Periodendauer']\n",
+    "\n",
+    "f_3 = pra_3['Frequenz']\n",
+    "T_3 = pra_3['Periodendauer']\n",
+    "\n",
+    "f_4 = pra_4['Frequenz']\n",
+    "T_4 = pra_4['Periodendauer']\n",
+    "\n",
+    "\n",
+    "\n",
+    "plt.scatter(f_1,T_1, color = 'red') \n",
+    "plt.scatter(f_2,T_2, color = 'green')\n",
+    "plt.scatter(f_3,T_3, color = 'blue')\n",
+    "plt.scatter(f_4,T_4, color = 'pink')\n",
+    "plt.show()"
+   ]
+  },
   {
    "cell_type": "markdown",
    "id": "a01cfa06-0204-41db-a7fa-4d0ae86fde07",
diff --git a/Oszilloskop/Oszilloskop.ipynb b/Oszilloskop/Oszilloskop.ipynb
index 5ce31f7..219316d 100644
--- a/Oszilloskop/Oszilloskop.ipynb
+++ b/Oszilloskop/Oszilloskop.ipynb
@@ -1161,7 +1161,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 48,
+   "execution_count": 2,
    "id": "1dfa140b",
    "metadata": {},
    "outputs": [
diff --git a/Pendel/Pendel.ipynb b/Pendel/Pendel.ipynb
index a257936..c97938e 100644
--- a/Pendel/Pendel.ipynb
+++ b/Pendel/Pendel.ipynb
@@ -99,7 +99,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 120,
+   "execution_count": 177,
    "id": "4f065e42",
    "metadata": {},
    "outputs": [],
@@ -289,8 +289,8 @@
    "source": [
     "**V E R S U C H S B E S C H R E I B U N G**\n",
     "\n",
-    "To compare the period lenght of small angles and big angles a pendulum on a string is swung from different starting angles. \n",
-    "It is expected that the period lenght for small angles to grow linear and exponential for big angles.\n",
+    "Aim of this experiment was test the effectiveness of the small-angle approximation by comparing the period length of variing stating angle for a pendulum on a string, starting with 60º and incrementaly decreasing the starting angle by 5º until the starting angle is 5º. For each starting angle 5 Periods were measured and supsequntly plotted. \n",
+    "Expected is that the period length for small angles is linearly dependent and exponentially dependant for big angles.\n",
     "To prove this all period lenghs are shown in one plot next to each other and then we fit the Values also to the exponential model: \n",
     "\n",
     "$T(\\phi)=T_0*(1+\\frac{1}{4}*sin^2(\\phi_0/2))$\n",
@@ -311,7 +311,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 121,
+   "execution_count": 178,
    "id": "c6f3b846",
    "metadata": {},
    "outputs": [
@@ -404,6 +404,7 @@
     "\n",
     "sinsquare_fit.do_fit()\n",
     "#sinsquare_fit.report(asymmetric_parameter_errors=True)\n",
+    "\n",
     "p = kafe2.Plot(sinsquare_fit)\n",
     "p.x_label = 'Ï•_0 in Rad'\n",
     "p.y_label = 'T_0 in s'\n",
@@ -418,7 +419,7 @@
    "source": [
     "**D I S K U S S I O N**\n",
     "\n",
-    "In the graph it can be clearly seen, that the increase isn't linear for bigger angles but linear for smaller ones. That explains also the relatively low value for $\\chi^2$ .\n",
+    "The graph clearly demonstrates the expontial relationship of the larger values for $\\Phi$ as the fit fairly closely matches that of the larger values. For the smaller values the Fit is less accurate, also leading to the relatively low value for $\\chi^2$ of $\\chi^2 = 0.000178$. It can be observed though that these values are roughly linear which alligns with our expectations.\n",
     "\n",
     "---"
    ]
@@ -445,7 +446,7 @@
     "**V E R S U C H S B E S C H R E I B U N G*\n",
     "\n",
     "In this step the period lenghts for angles $<5\\degree$ are shown to be a linear increase.\n",
-    "Additionally this characteristic is used to calculate the gravitational constant $g \\approx 9.81 frac{m}{s^2}$ (https://www.ptb.de/cms/ptb/fachabteilungen/abt1/fb-11/fb-11-sis/g-extractor.html).\n",
+    "Additionally this characteristic is used to calculate the gravitational constant $g \\approx 9.81 \\frac{m}{s^2}$ (https://www.ptb.de/cms/ptb/fachabteilungen/abt1/fb-11/fb-11-sis/g-extractor.html).\n",
     "\n",
     "The used Formula is:\n",
     "\n",
@@ -467,7 +468,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 143,
+   "execution_count": 179,
    "id": "7bf23fc6",
    "metadata": {},
    "outputs": [
@@ -495,7 +496,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "the calculated value for the gravitational constant is: 9.943769313236174 m/s^2\n"
+      "the calculated value for the gravitational constant is: 9.943769313236718 m/s^2\n"
      ]
     }
    ],
@@ -557,8 +558,7 @@
    "source": [
     "**D I S K U S S I O N**\n",
     "\n",
-    "In the fit the linearity is obvious and the value for $g$ is good too, since it contains the literary value. \n",
-    "The value for $\\chi^2$ in this fit signals that our used model fits the small angle approximation.\n",
+    "The calculated value for $g = 9.94 \\pm 0.12 m/s^2$ is fairly accurate as it is in an acceptable range from the known value of g as mentioned above. The fit of the modelfunction is also very good as the value for $\\chi^2 = 1$ would indicate. The $\\chi^2$ probability being so high means that our data is (nearly) perfectly fitted to the linear function. This would indicate that the small-angle approximation of $sin(x) \\approx x$ is accurate and can reasonably be utilized.\n",
     "\n",
     "---"
    ]
@@ -678,7 +678,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 44,
+   "execution_count": 180,
    "id": "b67d675a",
    "metadata": {},
    "outputs": [
@@ -855,7 +855,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 145,
+   "execution_count": 181,
    "id": "94afda08",
    "metadata": {},
    "outputs": [
@@ -864,18 +864,18 @@
      "output_type": "stream",
      "text": [
       "Fitted Parameters fit_T0: \n",
-      "beta_prime: 0.00246+/-0.00005 \n",
-      "gamma_prime 1.4391+/-0.0031\n",
+      "beta_prime: 0.246+/-0.007 \n",
+      "gamma_prime 1.440+/-0.004\n",
       "\n",
       "Fitted Parameters fit_T0_prime: \n",
-      "alpha: 0.001027+/-0.000018 \n",
-      "beta: 69.58+/-0.10 \n",
-      "gamma: 1.5692+/-0.0005\n"
+      "alpha: 9.2+/-0.6 \n",
+      "beta: 0.7016+/-0.0032 \n",
+      "gamma: 1.5671+/-0.0010\n"
      ]
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1200x500 with 2 Axes>"
       ]
@@ -887,8 +887,8 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "T_0(P(X^2)) =  0.9909421164417089\n",
-      "T_0'(P(X^2)) =  2.2850177305855368e-10\n"
+      "T_0(P(X^2)) =  0.9992632812191387\n",
+      "T_0'(P(X^2)) =  0.8987783040250255\n"
      ]
     }
    ],
@@ -897,7 +897,7 @@
     "def model_T0(d, beta_, gamma_):\n",
     "    return beta_ * d + gamma_\n",
     "\n",
-    "def model_T0_prime(d, alpha, gamma, beta=100):\n",
+    "def model_T0_prime(d, alpha, gamma, beta=1):\n",
     "    return alpha * (d - beta)**2 + gamma\n",
     "\n",
     "#Data for K\n",
@@ -950,7 +950,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 132,
+   "execution_count": 182,
    "id": "f2bf1864",
    "metadata": {},
    "outputs": [
@@ -1011,7 +1011,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 143,
+   "execution_count": 183,
    "id": "48b6e848",
    "metadata": {},
    "outputs": [
@@ -1029,7 +1029,7 @@
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1200x500 with 2 Axes>"
       ]
@@ -1054,11 +1054,8 @@
     "differenceT0_T0_prime_data.add_error(axis='x', err_val=df_d_T0_T0p_d_err)\n",
     "differenceT0_T0_prime_data.add_error(axis='y', err_val=df_d_T0_T0p_dt_err)\n",
     "\n",
-    "def model_T0_prime2(d, alpha, gamma, beta = 1):\n",
-    "    return alpha * (d - beta)**2 + gamma\n",
-    "\n",
     "# Define the fits\n",
-    "fit_T0_prime_df = Fit(differenceT0_T0_prime_data, model_T0_prime2)\n",
+    "fit_T0_prime_df = Fit(differenceT0_T0_prime_data, model_T0_prime)\n",
     "fit_T0_prime_df.do_fit()\n",
     "\n",
     "# alpha_hat = ufloat(-9.227966260708204, 2.8267026122864856)\n",
@@ -1096,7 +1093,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 184,
    "id": "6781d6dc",
    "metadata": {},
    "outputs": [
@@ -1146,7 +1143,7 @@
     "\n",
     "Moving forward with the value read of of the graph, the values for T and g are respectivly far better at: $T = 1.598 \\pm 0.006$ s and $g = 9.95 \\pm 0.08 m/s^2$. These values far more accurately represent the expected outcome of the experiment.\n",
     "\n",
-    "The exact reason for the calculated $\\ell_r$'s inaccuracy is unclear esspecially considering the graph itself seamingly is accurate. It is likely however that an error in the calculation of apha_hat beta_hat and/or gamma_hat occured somewhere.\n",
+    "The exact reason for the calculated $\\ell_r$'s inaccuracy is unclear especially considering the graph itself seamingly is accurate. It is likely however that an error in the calculation of apha_hat beta_hat and/or gamma_hat occured somewhere.\n",
     "\n",
     "---"
    ]
@@ -1184,7 +1181,8 @@
    "source": [
     "**V E R S U C H S B E S C H R E I B U N G**\n",
     "\n",
-    "*Fügen Sie Ihre Versuchsbeschreibung hier ein. Löschen Sie hierzu diesen kursiv gestellten Text aus dem Dokument.* \n",
+    "For this experiment, the first goal was to independantly measure the Periods of each pendulum to make sure they had the same period length as one another. \n",
+    "Subseqently the aim was to first measure the Fundamental oscillations of the coupled pendulums.\n",
     "\n",
     "---"
    ]
@@ -1203,7 +1201,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 126,
+   "execution_count": 185,
    "id": "c8b6d786",
    "metadata": {},
    "outputs": [
@@ -1467,7 +1465,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 135,
+   "execution_count": 186,
    "id": "e538fbef",
    "metadata": {},
    "outputs": [
@@ -1596,7 +1594,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 147,
+   "execution_count": 187,
    "id": "8ae7363b",
    "metadata": {},
    "outputs": [
@@ -1604,7 +1602,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/Users/goose/miniconda3/envs/cgda/lib/python3.11/site-packages/kafe2/fit/_base/fit.py:1048: UserWarning: No data/model errors were specified. Parameter errors cannot be calculated.\n",
+      "/Users/Niklas/miniconda3/envs/pua/lib/python3.11/site-packages/kafe2/fit/_base/fit.py:1048: UserWarning: No data/model errors were specified. Parameter errors cannot be calculated.\n",
       "  warnings.warn(\"No data/model errors were specified. Parameter errors cannot be calculated.\")\n"
      ]
     },
@@ -1615,15 +1613,15 @@
      "traceback": [
       "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
       "\u001b[0;31mTypeError\u001b[0m                                 Traceback (most recent call last)",
-      "Cell \u001b[0;32mIn[147], line 32\u001b[0m\n\u001b[1;32m     27\u001b[0m \u001b[38;5;66;03m#xy_data.add_error(axis='y', err_val, relative=False)  # Fehler der y-Daten hinzufügen\u001b[39;00m\n\u001b[1;32m     30\u001b[0m k_fit \u001b[38;5;241m=\u001b[39m kafe2\u001b[38;5;241m.\u001b[39mFit(data\u001b[38;5;241m=\u001b[39mxy_data, model_function\u001b[38;5;241m=\u001b[39mmod)\n\u001b[0;32m---> 32\u001b[0m \u001b[43mk_fit\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mdo_fit\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m     33\u001b[0m p \u001b[38;5;241m=\u001b[39m kafe2\u001b[38;5;241m.\u001b[39mPlot(k_fit)\n\u001b[1;32m     35\u001b[0m p\u001b[38;5;241m.\u001b[39mplot()\n",
-      "File \u001b[0;32m~/miniconda3/envs/cgda/lib/python3.11/site-packages/kafe2/fit/_base/fit.py:1062\u001b[0m, in \u001b[0;36mFitBase.do_fit\u001b[0;34m(self, asymmetric_parameter_errors)\u001b[0m\n\u001b[1;32m   1060\u001b[0m \u001b[38;5;66;03m# Initial fit:\u001b[39;00m\n\u001b[1;32m   1061\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_pre_fit_iteration(first_fit\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mTrue\u001b[39;00m)\n\u001b[0;32m-> 1062\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_fitter\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mdo_fit\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m  \u001b[38;5;66;03m# TODO specify other node to minimize\u001b[39;00m\n\u001b[1;32m   1063\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_post_fit_iteration(first_fit\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mTrue\u001b[39;00m)\n\u001b[1;32m   1065\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_iterative_fits_needed():\n",
-      "File \u001b[0;32m~/miniconda3/envs/cgda/lib/python3.11/site-packages/kafe2/core/fitters/nexus_fitter.py:166\u001b[0m, in \u001b[0;36mNexusFitter.do_fit\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m    165\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mdo_fit\u001b[39m(\u001b[38;5;28mself\u001b[39m):\n\u001b[0;32m--> 166\u001b[0m     \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_minimize\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n",
-      "File \u001b[0;32m~/miniconda3/envs/cgda/lib/python3.11/site-packages/kafe2/core/fitters/nexus_fitter.py:76\u001b[0m, in \u001b[0;36mNexusFitter._minimize\u001b[0;34m(self, max_calls)\u001b[0m\n\u001b[1;32m     73\u001b[0m     max_calls \u001b[38;5;241m=\u001b[39m kc(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mcore\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mfitters\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mnexus_fitter\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mmax_calls\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m     75\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m__minimizing \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mTrue\u001b[39;00m\n\u001b[0;32m---> 76\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_minimizer\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mminimize\u001b[49m\u001b[43m(\u001b[49m\u001b[43mmax_calls\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mmax_calls\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m     77\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m__minimizing \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mFalse\u001b[39;00m\n\u001b[1;32m     79\u001b[0m \u001b[38;5;66;03m# evaluate function one more time with the final parameters,\u001b[39;00m\n\u001b[1;32m     80\u001b[0m \u001b[38;5;66;03m# in order to ensure the nexus is up to date\u001b[39;00m\n",
-      "File \u001b[0;32m~/miniconda3/envs/cgda/lib/python3.11/site-packages/kafe2/core/minimizers/iminuit_minimizer.py:373\u001b[0m, in \u001b[0;36mMinimizerIMinuit.minimize\u001b[0;34m(self, max_calls)\u001b[0m\n\u001b[1;32m    372\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mminimize\u001b[39m(\u001b[38;5;28mself\u001b[39m, max_calls\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m6000\u001b[39m):\n\u001b[0;32m--> 373\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m np\u001b[38;5;241m.\u001b[39mall(\u001b[43m[\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mis_fixed\u001b[49m\u001b[43m(\u001b[49m\u001b[43m_par_name\u001b[49m\u001b[43m)\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mfor\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43m_par_name\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;129;43;01min\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mparameter_names\u001b[49m\u001b[43m]\u001b[49m):\n\u001b[1;32m    374\u001b[0m         \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mRuntimeError\u001b[39;00m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mCannot perform a fit if all parameters are fixed!\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m    376\u001b[0m     \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_get_iminuit()\u001b[38;5;241m.\u001b[39mmigrad(ncall\u001b[38;5;241m=\u001b[39mmax_calls)\n",
-      "File \u001b[0;32m~/miniconda3/envs/cgda/lib/python3.11/site-packages/kafe2/core/minimizers/iminuit_minimizer.py:373\u001b[0m, in \u001b[0;36m<listcomp>\u001b[0;34m(.0)\u001b[0m\n\u001b[1;32m    372\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mminimize\u001b[39m(\u001b[38;5;28mself\u001b[39m, max_calls\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m6000\u001b[39m):\n\u001b[0;32m--> 373\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m np\u001b[38;5;241m.\u001b[39mall([\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mis_fixed\u001b[49m\u001b[43m(\u001b[49m\u001b[43m_par_name\u001b[49m\u001b[43m)\u001b[49m \u001b[38;5;28;01mfor\u001b[39;00m _par_name \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mparameter_names]):\n\u001b[1;32m    374\u001b[0m         \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mRuntimeError\u001b[39;00m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mCannot perform a fit if all parameters are fixed!\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m    376\u001b[0m     \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_get_iminuit()\u001b[38;5;241m.\u001b[39mmigrad(ncall\u001b[38;5;241m=\u001b[39mmax_calls)\n",
-      "File \u001b[0;32m~/miniconda3/envs/cgda/lib/python3.11/site-packages/kafe2/core/minimizers/iminuit_minimizer.py:350\u001b[0m, in \u001b[0;36mMinimizerIMinuit.is_fixed\u001b[0;34m(self, parameter_name)\u001b[0m\n\u001b[1;32m    348\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_get_iminuit()\u001b[38;5;241m.\u001b[39mfixed[parameter_name]\n\u001b[1;32m    349\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m--> 350\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_get_iminuit\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[38;5;241m.\u001b[39mfixed[\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mparameter_names\u001b[38;5;241m.\u001b[39mindex(parameter_name)]\n",
-      "File \u001b[0;32m~/miniconda3/envs/cgda/lib/python3.11/site-packages/kafe2/core/minimizers/iminuit_minimizer.py:100\u001b[0m, in \u001b[0;36mMinimizerIMinuit._get_iminuit\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m     98\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m     99\u001b[0m     _parameter_values \u001b[38;5;241m=\u001b[39m [\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_minimizer_param_dict[_pn] \u001b[38;5;28;01mfor\u001b[39;00m _pn \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mparameter_names]\n\u001b[0;32m--> 100\u001b[0m     \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m__iminuit \u001b[38;5;241m=\u001b[39m \u001b[43miminuit\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mMinuit\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_func_wrapper\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43m_parameter_values\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mname\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mparameter_names\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    101\u001b[0m     \u001b[38;5;28;01mfor\u001b[39;00m _i, _par_name_i \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28menumerate\u001b[39m(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mparameter_names):\n\u001b[1;32m    102\u001b[0m         \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m__iminuit\u001b[38;5;241m.\u001b[39mfixed[_i] \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_minimizer_param_dict[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mfix_\u001b[39m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;241m+\u001b[39m _par_name_i]\n",
-      "File \u001b[0;32m~/miniconda3/envs/cgda/lib/python3.11/site-packages/iminuit/minuit.py:646\u001b[0m, in \u001b[0;36mMinuit.__init__\u001b[0;34m(***failed resolving arguments***)\u001b[0m\n\u001b[1;32m    643\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m \u001b[38;5;28mlen\u001b[39m(name) \u001b[38;5;241m==\u001b[39m \u001b[38;5;28mlen\u001b[39m(annotated):\n\u001b[1;32m    644\u001b[0m     annotated \u001b[38;5;241m=\u001b[39m {new: annotated[old] \u001b[38;5;28;01mfor\u001b[39;00m (old, new) \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mzip\u001b[39m(annotated, name)}\n\u001b[0;32m--> 646\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mlen\u001b[39m(start) \u001b[38;5;241m==\u001b[39m \u001b[38;5;241m0\u001b[39m \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;28mlen\u001b[39m(kwds) \u001b[38;5;241m==\u001b[39m \u001b[38;5;241m0\u001b[39m:\n\u001b[1;32m    647\u001b[0m     \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mRuntimeError\u001b[39;00m(\n\u001b[1;32m    648\u001b[0m         \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mstarting value(s) are required\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m    649\u001b[0m         \u001b[38;5;241m+\u001b[39m (\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m for [\u001b[39m\u001b[38;5;132;01m{\u001b[39;00m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m \u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;241m.\u001b[39mjoin(name)\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m]\u001b[39m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m name \u001b[38;5;28;01melse\u001b[39;00m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m    650\u001b[0m     )\n\u001b[1;32m    652\u001b[0m \u001b[38;5;66;03m# Maintain two dictionaries to easily convert between\u001b[39;00m\n\u001b[1;32m    653\u001b[0m \u001b[38;5;66;03m# parameter names and position\u001b[39;00m\n",
+      "Cell \u001b[0;32mIn[187], line 32\u001b[0m\n\u001b[1;32m     27\u001b[0m \u001b[38;5;66;03m#xy_data.add_error(axis='y', err_val, relative=False)  # Fehler der y-Daten hinzufügen\u001b[39;00m\n\u001b[1;32m     30\u001b[0m k_fit \u001b[38;5;241m=\u001b[39m kafe2\u001b[38;5;241m.\u001b[39mFit(data\u001b[38;5;241m=\u001b[39mxy_data, model_function\u001b[38;5;241m=\u001b[39mmod)\n\u001b[0;32m---> 32\u001b[0m \u001b[43mk_fit\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mdo_fit\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m     33\u001b[0m p \u001b[38;5;241m=\u001b[39m kafe2\u001b[38;5;241m.\u001b[39mPlot(k_fit)\n\u001b[1;32m     35\u001b[0m p\u001b[38;5;241m.\u001b[39mplot()\n",
+      "File \u001b[0;32m~/miniconda3/envs/pua/lib/python3.11/site-packages/kafe2/fit/_base/fit.py:1062\u001b[0m, in \u001b[0;36mFitBase.do_fit\u001b[0;34m(self, asymmetric_parameter_errors)\u001b[0m\n\u001b[1;32m   1060\u001b[0m \u001b[38;5;66;03m# Initial fit:\u001b[39;00m\n\u001b[1;32m   1061\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_pre_fit_iteration(first_fit\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mTrue\u001b[39;00m)\n\u001b[0;32m-> 1062\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_fitter\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mdo_fit\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m  \u001b[38;5;66;03m# TODO specify other node to minimize\u001b[39;00m\n\u001b[1;32m   1063\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_post_fit_iteration(first_fit\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mTrue\u001b[39;00m)\n\u001b[1;32m   1065\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_iterative_fits_needed():\n",
+      "File \u001b[0;32m~/miniconda3/envs/pua/lib/python3.11/site-packages/kafe2/core/fitters/nexus_fitter.py:166\u001b[0m, in \u001b[0;36mNexusFitter.do_fit\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m    165\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mdo_fit\u001b[39m(\u001b[38;5;28mself\u001b[39m):\n\u001b[0;32m--> 166\u001b[0m     \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_minimize\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n",
+      "File \u001b[0;32m~/miniconda3/envs/pua/lib/python3.11/site-packages/kafe2/core/fitters/nexus_fitter.py:76\u001b[0m, in \u001b[0;36mNexusFitter._minimize\u001b[0;34m(self, max_calls)\u001b[0m\n\u001b[1;32m     73\u001b[0m     max_calls \u001b[38;5;241m=\u001b[39m kc(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mcore\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mfitters\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mnexus_fitter\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mmax_calls\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m     75\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m__minimizing \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mTrue\u001b[39;00m\n\u001b[0;32m---> 76\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_minimizer\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mminimize\u001b[49m\u001b[43m(\u001b[49m\u001b[43mmax_calls\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mmax_calls\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m     77\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m__minimizing \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mFalse\u001b[39;00m\n\u001b[1;32m     79\u001b[0m \u001b[38;5;66;03m# evaluate function one more time with the final parameters,\u001b[39;00m\n\u001b[1;32m     80\u001b[0m \u001b[38;5;66;03m# in order to ensure the nexus is up to date\u001b[39;00m\n",
+      "File \u001b[0;32m~/miniconda3/envs/pua/lib/python3.11/site-packages/kafe2/core/minimizers/iminuit_minimizer.py:373\u001b[0m, in \u001b[0;36mMinimizerIMinuit.minimize\u001b[0;34m(self, max_calls)\u001b[0m\n\u001b[1;32m    372\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mminimize\u001b[39m(\u001b[38;5;28mself\u001b[39m, max_calls\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m6000\u001b[39m):\n\u001b[0;32m--> 373\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m np\u001b[38;5;241m.\u001b[39mall(\u001b[43m[\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mis_fixed\u001b[49m\u001b[43m(\u001b[49m\u001b[43m_par_name\u001b[49m\u001b[43m)\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mfor\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43m_par_name\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;129;43;01min\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mparameter_names\u001b[49m\u001b[43m]\u001b[49m):\n\u001b[1;32m    374\u001b[0m         \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mRuntimeError\u001b[39;00m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mCannot perform a fit if all parameters are fixed!\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m    376\u001b[0m     \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_get_iminuit()\u001b[38;5;241m.\u001b[39mmigrad(ncall\u001b[38;5;241m=\u001b[39mmax_calls)\n",
+      "File \u001b[0;32m~/miniconda3/envs/pua/lib/python3.11/site-packages/kafe2/core/minimizers/iminuit_minimizer.py:373\u001b[0m, in \u001b[0;36m<listcomp>\u001b[0;34m(.0)\u001b[0m\n\u001b[1;32m    372\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mminimize\u001b[39m(\u001b[38;5;28mself\u001b[39m, max_calls\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m6000\u001b[39m):\n\u001b[0;32m--> 373\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m np\u001b[38;5;241m.\u001b[39mall([\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mis_fixed\u001b[49m\u001b[43m(\u001b[49m\u001b[43m_par_name\u001b[49m\u001b[43m)\u001b[49m \u001b[38;5;28;01mfor\u001b[39;00m _par_name \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mparameter_names]):\n\u001b[1;32m    374\u001b[0m         \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mRuntimeError\u001b[39;00m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mCannot perform a fit if all parameters are fixed!\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m    376\u001b[0m     \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_get_iminuit()\u001b[38;5;241m.\u001b[39mmigrad(ncall\u001b[38;5;241m=\u001b[39mmax_calls)\n",
+      "File \u001b[0;32m~/miniconda3/envs/pua/lib/python3.11/site-packages/kafe2/core/minimizers/iminuit_minimizer.py:350\u001b[0m, in \u001b[0;36mMinimizerIMinuit.is_fixed\u001b[0;34m(self, parameter_name)\u001b[0m\n\u001b[1;32m    348\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_get_iminuit()\u001b[38;5;241m.\u001b[39mfixed[parameter_name]\n\u001b[1;32m    349\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m--> 350\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_get_iminuit\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[38;5;241m.\u001b[39mfixed[\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mparameter_names\u001b[38;5;241m.\u001b[39mindex(parameter_name)]\n",
+      "File \u001b[0;32m~/miniconda3/envs/pua/lib/python3.11/site-packages/kafe2/core/minimizers/iminuit_minimizer.py:100\u001b[0m, in \u001b[0;36mMinimizerIMinuit._get_iminuit\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m     98\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m     99\u001b[0m     _parameter_values \u001b[38;5;241m=\u001b[39m [\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_minimizer_param_dict[_pn] \u001b[38;5;28;01mfor\u001b[39;00m _pn \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mparameter_names]\n\u001b[0;32m--> 100\u001b[0m     \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m__iminuit \u001b[38;5;241m=\u001b[39m \u001b[43miminuit\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mMinuit\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_func_wrapper\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43m_parameter_values\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mname\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mparameter_names\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    101\u001b[0m     \u001b[38;5;28;01mfor\u001b[39;00m _i, _par_name_i \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28menumerate\u001b[39m(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mparameter_names):\n\u001b[1;32m    102\u001b[0m         \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m__iminuit\u001b[38;5;241m.\u001b[39mfixed[_i] \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_minimizer_param_dict[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mfix_\u001b[39m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;241m+\u001b[39m _par_name_i]\n",
+      "File \u001b[0;32m~/miniconda3/envs/pua/lib/python3.11/site-packages/iminuit/minuit.py:647\u001b[0m, in \u001b[0;36mMinuit.__init__\u001b[0;34m(***failed resolving arguments***)\u001b[0m\n\u001b[1;32m    644\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m \u001b[38;5;28mlen\u001b[39m(name) \u001b[38;5;241m==\u001b[39m \u001b[38;5;28mlen\u001b[39m(annotated):\n\u001b[1;32m    645\u001b[0m     annotated \u001b[38;5;241m=\u001b[39m {new: annotated[old] \u001b[38;5;28;01mfor\u001b[39;00m (old, new) \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mzip\u001b[39m(annotated, name)}\n\u001b[0;32m--> 647\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mlen\u001b[39m(start) \u001b[38;5;241m==\u001b[39m \u001b[38;5;241m0\u001b[39m \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;28mlen\u001b[39m(kwds) \u001b[38;5;241m==\u001b[39m \u001b[38;5;241m0\u001b[39m:\n\u001b[1;32m    648\u001b[0m     \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mRuntimeError\u001b[39;00m(\n\u001b[1;32m    649\u001b[0m         \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mstarting value(s) are required\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m    650\u001b[0m         \u001b[38;5;241m+\u001b[39m (\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m for [\u001b[39m\u001b[38;5;132;01m{\u001b[39;00m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m \u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;241m.\u001b[39mjoin(name)\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m]\u001b[39m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m name \u001b[38;5;28;01melse\u001b[39;00m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m    651\u001b[0m     )\n\u001b[1;32m    653\u001b[0m \u001b[38;5;66;03m# Maintain two dictionaries to easily convert between\u001b[39;00m\n\u001b[1;32m    654\u001b[0m \u001b[38;5;66;03m# parameter names and position\u001b[39;00m\n",
       "\u001b[0;31mTypeError\u001b[0m: len() of unsized object"
      ]
     }
@@ -1654,7 +1652,7 @@
     "\n",
     "k = (nomv(uTheta)/l20)*0.5*((2*np.pi/dat20_32[\"Periodendauer\"])**2 - (nomv(um)*9.81*nomv(uL))/nomv(uTheta))\n",
     "\n",
-    "xy_data = kafe2.XYContainer(x_data=dat20_32[\"Periodendauer\"], y_data=nomv(k))\n",
+    "xy_data = kafe2.XYContainer(x_data=dat20_32[\"Periodendauer\"], y_data=k)\n",
     "#xy_data.add_error(axis='y', err_val, relative=False)  # Fehler der y-Daten hinzufügen\n",
     "\n",
     "\n",
diff --git a/Pendel/Pendel_Hinweise.ipynb b/Pendel/Pendel_Hinweise.ipynb
index 850a92c..9844c0d 100644
--- a/Pendel/Pendel_Hinweise.ipynb
+++ b/Pendel/Pendel_Hinweise.ipynb
@@ -224,6 +224,18 @@
     "### Aufgabe 3.1: Fundamentalschwingungen"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "aa653628",
+   "metadata": {
+    "vscode": {
+     "languageId": "plaintext"
+    }
+   },
+   "outputs": [],
+   "source": []
+  },
   {
    "cell_type": "markdown",
    "id": "650d5bf1-eaf8-4d59-bfe1-4148916e5752",
-- 
GitLab