diff --git a/Vorversuch/Vorversuch.ipynb b/Vorversuch/Vorversuch.ipynb index 2669db0d4b5b75606651c746ebe8c5f4ea67d358..0d76e550d86d21b033ac8f0166c64d785658a3b4 100644 --- a/Vorversuch/Vorversuch.ipynb +++ b/Vorversuch/Vorversuch.ipynb @@ -139,17 +139,13 @@ "Zur Bestimmung von $g$ unterlegen wir zunächst das Modell eines [mathematischen Pendels](https://de.wikipedia.org/wiki/Mathematisches_Pendel), woraus sich $g$ wie folgt ableiten lässt:\n", "\n", "$$\n", - "\\begin{equation*}\n", "g = \\frac{4\\,\\pi^{2}}{T^{2}}\\ell,\n", - "\\end{equation*}\n", "$$\n", "\n", "wobei $\\ell$ der Länge des Pendels entspricht. Als Referenzwert für alle weiteren Messungen können Sie den Wert \n", "\n", "$$\n", - "\\begin{equation*}\n", "g_{\\mathrm{exp}} = (9.809599\\pm0.000034)\\,\\mathrm{m/s^{2}}\n", - "\\end{equation*}\n", "$$\n", "\n", "verwenden. Dieser Wert wurde aus der [Global Gravtiy Database des Bureau Gravimetrique International (BGI)](https://ggos.org/item/bgi/) für die Stadt Mannheim (bei $49,49^{\\circ}$ nördlicher Breite und $8,53^{\\circ}$ westlicher Länge auf einer Referenzhöhe von $101\\,\\mathrm{m}$) ausgelesen. \n", @@ -160,6 +156,26 @@ " * Überlegen Sie sich eine sinnvolle Unsicherheit $\\Delta T$ und ermitteln Sie $g$ mit entsprechender Unsicherheit $\\Delta g^{(2.1)}$. Bestimmen Sie $\\Delta g^{(2.1)}$ mit Hilfe linearer [Fehlerfortpflanzung](https://de.wikipedia.org/wiki/Fehlerfortpflanzung) nach Gauß. Berücksichtigen Sie dabei auch die Unsicherheit $\\Delta\\ell$.\n", " * Vergleichen Sie Ihr Ergebnis, im Rahmen der Unsicherheiten, mit $g_{\\mathrm{exp}}$.\n", "\n", + "---" + ] + }, + { + "cell_type": "markdown", + "id": "7356d160-237f-43ad-ac20-817f9a709054", + "metadata": {}, + "source": [ + "**Lösung:**\n", + "\n", + "*Sie können Ihr Protokoll direkt in dieses Dokument einfügen. Wenn Sie dieses Dokument als Grundlage für ein [Jupyter notebook](https://jupyter.org/) verwenden wollen können Sie die Auswertung, Skripte und ggf. bildliche Darstellungen mit Hilfe von [python](https://www.python.org/) ebenfalls hier einfügen. Löschen Sie hierzu diesen kursiv gestellten Text aus dem Dokument.* \n", + "\n", + "---" + ] + }, + { + "cell_type": "markdown", + "id": "0bfd2262-f124-4b44-a78f-4ffbb46acc42", + "metadata": {}, + "source": [ "### Aufgabe 2.2: Erste Verbesserung der Methodik \n", "\n", " * Bestimmen Sie $T$ aus einer Anpassung an alle Datenpunkte, bestehend aus den Wertepaaren $\\left(t,\\varphi(t)\\right)$. Berücksichtigen Sie dabei die Unsicherheiten sowohl auf $t$, als auch auf $\\varphi(t)$. Angaben zu diesen Unsicherheiten können Sie z.B. der Datei [Datenblatt.md](https://gitlab.kit.edu/kit/etp-lehre/p1-praktikum/students/-/blob/main/Vorversuch/Datenblatt.md) entnehmen. Stellen Sie die Daten und das angepasste Modell geeignet graphisch dar. \n", @@ -168,7 +184,27 @@ " * Die ermittelten Werte mit entsprechenden Unsicherheiten für alle an die Daten angepassten Parameter. \n", " * Berechnen Sie aus den bestimmten Werten für $T$ und $\\Delta T$ verbesserte Abschätzungen für $g^{(2.2)}$ und $\\Delta g^{(2.2)}$. Bestimmen Sie $\\Delta g^{(2.2)}$ mit Hilfe linearer [Fehlerfortpflanzung](https://de.wikipedia.org/wiki/Fehlerfortpflanzung) nach Gauß. Berücksichtigen Sie dabei auch die Unsicherheit $\\Delta\\ell$.\n", " * Vergleichen Sie Ihr Ergebnis, im Rahmen der Unsicherheiten, mit $g_{\\mathrm{exp}}$. \n", - " \n", + "\n", + "---" + ] + }, + { + "cell_type": "markdown", + "id": "24028863-e930-49f0-99de-3d96e047f4f8", + "metadata": {}, + "source": [ + "**Lösung:**\n", + "\n", + "*Sie können Ihr Protokoll direkt in dieses Dokument einfügen. Wenn Sie dieses Dokument als Grundlage für ein [Jupyter notebook](https://jupyter.org/) verwenden wollen können Sie die Auswertung, Skripte und ggf. bildliche Darstellungen mit Hilfe von [python](https://www.python.org/) ebenfalls hier einfügen. Löschen Sie hierzu diesen kursiv gestellten Text aus dem Dokument.* \n", + "\n", + "---" + ] + }, + { + "cell_type": "markdown", + "id": "1fd8883c-152f-40c6-8fe9-20239b97a04e", + "metadata": {}, + "source": [ "### Aufgabe 2.3: Zweite Verbesserung der Methodik\n", "\n", " * Bestimmen Sie $g^{(2.3)}$ und $\\Delta g^{2.3}$ direkt aus der Anpassung. Formulieren Sie ihre Modellfunktion dazu entsprechend um, führen Sie die Anpassung erneut durch und vergleichen Sie die Ergebnisse für $g^{(2.3)}$ und $\\Delta g^{(2.3)}$ mit den Ergebnissen aus Aufgabe 2.2. \n", @@ -179,7 +215,7 @@ }, { "cell_type": "markdown", - "id": "7356d160-237f-43ad-ac20-817f9a709054", + "id": "48a4a491-964f-4760-bb63-29c4089845bb", "metadata": {}, "source": [ "**Lösung:**\n", @@ -201,9 +237,7 @@ "Eine offensichtliche Unzulänglichkeit des vorherigen Modells besteht in der Vernachlässigung der endlichen Ausdehnung des Pendels. Wenn Sie das Modell entsprechend erweitern, nimmt die Formel zur Bestimmung von $g$ die folgende Form an: \n", "\n", "$$\n", - "\\begin{equation*}\n", "g = \\frac{4\\,\\pi^{2}}{T^{2}}\\frac{\\Theta}{Ms},\n", - "\\end{equation*}\n", "$$\n", "\n", "wobei $\\Theta$ und $M$ dem Trägheitsmoment und der Masse der gesamten Pendelkonstruktion (einschließlich aller Montageteile und Smartphone!) und $s$ dem Abstand zwischen dem Schwerpunkt und der Aufhängung des Pendels entsprechen.\n", @@ -213,14 +247,32 @@ " * Modifizieren Sie Ihr Modell, so dass es dem Modell eines [physikalischen Pendels](https://de.wikipedia.org/wiki/Physikalisches_Pendel) entspricht und machen Sie eine neue Abschätzung für $g^{(3.1)}$ und $\\Delta g^{(3.1)}$. \n", " * Schätzen Sie den Einfluss von $\\Delta\\Theta$, $\\Delta M$, und $\\Delta s$ auf $\\Delta g^{(3.1)}$ ab und überlegen Sie, wie Sie diese Unsicherheiten geeignet zu einer Gesamtunsicherheit kombinieren können.\n", "\n", + "---" + ] + }, + { + "cell_type": "markdown", + "id": "011015a6-31fb-481b-9e1f-67e6399c6043", + "metadata": {}, + "source": [ + "**Lösung:**\n", + "\n", + "*Sie können Ihr Protokoll direkt in dieses Dokument einfügen. Wenn Sie dieses Dokument als Grundlage für ein [Jupyter notebook](https://jupyter.org/) verwenden wollen können Sie die Auswertung, Skripte und ggf. bildliche Darstellungen mit Hilfe von [python](https://www.python.org/) ebenfalls hier einfügen. Löschen Sie hierzu diesen kursiv gestellten Text aus dem Dokument.* \n", + "\n", + "---" + ] + }, + { + "cell_type": "markdown", + "id": "5381cbdd-851b-4104-8b67-b2d0c6781d79", + "metadata": {}, + "source": [ "### Aufgabe 3.2: Zweite Erweiterung der Modells\n", "\n", "Das Pendel erfährt in seiner Bewegung zusätzlich eine Dämpfung. Wenn Sie der Messung das Modell einer [linearer gedämpften Schwingung](https://de.wikipedia.org/wiki/Schwingung#Linear_ged%C3%A4mpfte_Schwingung) zugrunde legen verändert sich die Formel zur Bestimmung von $g$ wie folgt: \n", "\n", "$$\n", - "\\begin{equation}\n", - "g = \\left(\\frac{4\\,\\pi^{2}}{T_{0}^{2}}+\\frac{1}{\\tau^{2}}\\right)\\frac{\\Theta}{m\\,\\ell},\n", - "\\end{equation}\n", + "g = \\left(\\frac{4\\,\\pi^{2}}{T^{2}}+\\frac{1}{\\tau^{2}}\\right)\\frac{\\Theta}{Ms},\n", "$$\n", "\n", "wobei $\\tau$ einer Abklingzeit der Schwingungsamplitude in Sekunden entspricht. Wie Sie sehen handelt es sich um eine Korrektur, die die Abschätzung von $g$ zu größeren Werten hin verändert. \n", @@ -235,7 +287,7 @@ }, { "cell_type": "markdown", - "id": "011015a6-31fb-481b-9e1f-67e6399c6043", + "id": "a09d0d80-da98-4a74-abca-4d657c9033a9", "metadata": {}, "source": [ "**Lösung:**\n", @@ -258,6 +310,26 @@ "\n", "Jede Variation eines der drei Parameter $\\Theta$, $M$ oder $s$ in **Aufgabe 3.1** hat einen nicht-trivialen Einfluss, nicht nur auf $g$, sondern auch auf die jeweils anderen äußeren Parameter. Durch naive, quadratische Addition von $\\Delta \\Theta$, $\\Delta M$, und $\\Delta s$ unterlegen Sie (vielleicht unterbewusst) die Annahme, das alle drei Variationen paarweise unabhängig sind. Diese Annahme ist auf jeden Fall falsch! Ein anderes Modell, dass Sie anwenden könnten, wäre zwei oder alle Parameter vollständig zu korrelieren. Was bedeutet diese Annahme für die Variation der Parameter? Denken, Sie dass diese Annahme korrekt ist? Machen Sie einen Vorschlag zur Lösung dieses Problems. \n", "\n", + "---" + ] + }, + { + "cell_type": "markdown", + "id": "a5614cf5-68ff-4ade-837c-6055a2944e95", + "metadata": {}, + "source": [ + "**Lösung:**\n", + "\n", + "*Sie können Ihr Protokoll direkt in dieses Dokument einfügen. Wenn Sie dieses Dokument als Grundlage für ein [Jupyter notebook](https://jupyter.org/) verwenden wollen können Sie die Auswertung, Skripte und ggf. bildliche Darstellungen mit Hilfe von [python](https://www.python.org/) ebenfalls hier einfügen. Löschen Sie hierzu diesen kursiv gestellten Text aus dem Dokument.* \n", + "\n", + "---" + ] + }, + { + "cell_type": "markdown", + "id": "f7422100-bfce-4332-818d-64ca76c2d4e9", + "metadata": {}, + "source": [ "### Bonusaufgabe 2: Experimentelle Verbesserung der Messung \n", "\n", "Diskutieren Sie, wie dieser Versuch konzeptionell verbessert werden könnte, um die in Bonusaufgabe 1 diskutierten Probleme von vornherein zu vermeiden. \n", @@ -267,7 +339,7 @@ }, { "cell_type": "markdown", - "id": "a5614cf5-68ff-4ade-837c-6055a2944e95", + "id": "feaff2b0-b1db-470c-a3fc-13b4d1c59656", "metadata": {}, "source": [ "**Lösung:**\n", @@ -294,7 +366,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.10.12" + "version": "3.9.13" } }, "nbformat": 4, diff --git a/tools/kafe2_exampe.ipynb b/tools/kafe2_exampe.ipynb index 13da81677aba24be534cdc442f0730a994021e36..82b91ba66d6e3f6d89e86897eeabaa8676b809f8 100644 --- a/tools/kafe2_exampe.ipynb +++ b/tools/kafe2_exampe.ipynb @@ -5,9 +5,9 @@ "id": "d610ba33-bd24-41b0-957b-7f1ca8d7edf7", "metadata": {}, "source": [ - "# Verwendung von kafe2 auf dem Jupyter-server\n", + "# Verwendung von kafe2 auf dem Jupyter-Server\n", "\n", - "Die folgenden Beispiele sollten auf dem Jupyter-server ohne Probleme ausführbar sein. Folgen Sie den Kommentaren in den Beispielen, um zu sehen, wie Sie [kafe2](https://etpwww.etp.kit.edu/~quast/kafe2/htmldoc/index.html) für die Auswertung Ihrer Praktikumsversuche in Jupyter-notebook verwenden können. Beginnen Sie z.B. damit die für Ihren Fall passende Code-Zelle in Ihr Protokoll zu kopieren und passen Sie Daten und Modell-Funktion an Ihre Messung an. \n", + "Die folgenden Beispiele sollten auf dem Jupyter-Server ohne Probleme ausführbar sein. Folgen Sie den Kommentaren in den Beispielen, um zu sehen, wie Sie [kafe2](https://etpwww.etp.kit.edu/~quast/kafe2/htmldoc/index.html) für die Auswertung Ihrer Praktikumsversuche in Jupyter-notebook verwenden können. Beginnen Sie z.B. damit die für Ihren Fall passende Code-Zelle in Ihr Protokoll zu kopieren und passen Sie Daten und Modell-Funktion an Ihre Messung an. \n", "\n", "Wenn Sie kafe2 intensiver nutzen und verstehen möchten lohnt es sich etwas Zeit darauf zu verwenden, um ein wenig in der Dokumentation zu stöbern. Das Programm-Paket kafe2 ist *open source* und mit einigen Zusatzpaketen rein python-basiert installierbar. \n", "\n", @@ -24,10 +24,129 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 1, "id": "b859057b-2439-4538-8101-b6a083a65207", "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "########\n", + "# Data #\n", + "########\n", + "\n", + " X Data X Data Error X Data Correlation Matrix \n", + " ====== ============ ===============================\n", + " 0.8019 0.3 [1. 0. 0. 0. 0. 0. 0. 0. 0. 0.]\n", + " 1.84 0.3 [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]\n", + " 1.942 0.3 [0. 0. 1. 0. 0. 0. 0. 0. 0. 0.]\n", + " 1.276 0.3 [0. 0. 0. 1. 0. 0. 0. 0. 0. 0.]\n", + " 2.84 0.3 [0. 0. 0. 0. 1. 0. 0. 0. 0. 0.]\n", + " 3.488 0.3 [0. 0. 0. 0. 0. 1. 0. 0. 0. 0.]\n", + " 3.776 0.3 [0. 0. 0. 0. 0. 0. 1. 0. 0. 0.]\n", + " 4.555 0.3 [0. 0. 0. 0. 0. 0. 0. 1. 0. 0.]\n", + " 4.477 0.3 [0. 0. 0. 0. 0. 0. 0. 0. 1. 0.]\n", + " 5.376 0.3 [0. 0. 0. 0. 0. 0. 0. 0. 0. 1.]\n", + "\n", + " Y Data Y Data Error Y Data Correlation Matrix \n", + " ======== ============ ===============================\n", + " 0.2651 0.106 [1. 0. 0. 0. 0. 0. 0. 0. 0. 0.]\n", + " 0.1473 0.05891 [0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]\n", + " 0.08077 0.03231 [0. 0. 1. 0. 0. 0. 0. 0. 0. 0.]\n", + " 0.185 0.07401 [0. 0. 0. 1. 0. 0. 0. 0. 0. 0.]\n", + " 0.05326 0.02131 [0. 0. 0. 0. 1. 0. 0. 0. 0. 0.]\n", + " 0.01984 0.007937 [0. 0. 0. 0. 0. 1. 0. 0. 0. 0.]\n", + " 0.01866 0.007465 [0. 0. 0. 0. 0. 0. 1. 0. 0. 0.]\n", + " 0.0123 0.00492 [0. 0. 0. 0. 0. 0. 0. 1. 0. 0.]\n", + " 0.009695 0.003878 [0. 0. 0. 0. 0. 0. 0. 0. 1. 0.]\n", + " 0.002412 0.0009649 [0. 0. 0. 0. 0. 0. 0. 0. 0. 1.]\n", + "\n", + "#########\n", + "# Model #\n", + "#########\n", + "\n", + " Model Function\n", + " ==============\n", + "\n", + " exponential(x; A_0, tau)\n", + "\n", + " X Model\n", + " =======\n", + " 0.8019 \n", + " 1.84 \n", + " 1.942 \n", + " 1.276 \n", + " 2.84 \n", + " 3.488 \n", + " 3.776 \n", + " 4.555 \n", + " 4.477 \n", + " 5.376 \n", + "\n", + " Y Model \n", + " ========\n", + " 0.2654 \n", + " 0.09922 \n", + " 0.09005 \n", + " 0.1693 \n", + " 0.03845 \n", + " 0.02079 \n", + " 0.01583 \n", + " 0.007561\n", + " 0.008141\n", + " 0.003472\n", + "\n", + "###############\n", + "# Fit Results #\n", + "###############\n", + "\n", + " Model Parameters\n", + " ================\n", + "\n", + " A_0 = 0.57 + 0.23 (up) - 0.17 (down)\n", + " tau = 1.05 + 0.13 (up) - 0.11 (down)\n", + "\n", + " Model Parameter Correlations\n", + " ============================\n", + "\n", + " A_0 tau \n", + " ======= =======\n", + " A_0 1.0 -0.8753\n", + " tau -0.8753 1.0 \n", + "\n", + " Cost Function\n", + " =============\n", + "\n", + " Cost function: chi-square (with covariance matrix)\n", + "\n", + " chi2 / ndf = 2.607 / 8 = 0.3259\n", + "\n", + " chi2 probability = 0.957\n", + "\n" + ] + }, + { + "data": { + "image/png": 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+ "text/plain": [ + "<Figure size 1200x500 with 3 Axes>" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "<Figure size 800x800 with 4 Axes>" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "# Hier importieren Sie die relevanten Module und Objekte von numpy und kafe2.\n", "# Im Fall von kafe2 handelt es sich um die Objekte vom Typ Fit, Plot und \n", @@ -110,10 +229,95 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 2, "id": "fda9b096-7cb5-4934-ae8a-bbef464b99c3", "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "########\n", + "# Data #\n", + "########\n", + "\n", + " X Data X Data Error X Data Correlation Matrix\n", + " ====== ============ =========================\n", + " 1.0 0.1 [1. 0. 0. 0.] \n", + " 2.0 0.1 [0. 1. 0. 0.] \n", + " 3.0 0.1 [0. 0. 1. 0.] \n", + " 4.0 0.1 [0. 0. 0. 1.] \n", + "\n", + " Y Data Y Data Error Y Data Correlation Matrix\n", + " ====== ============ =========================\n", + " 2.3 0.4 [1. 0. 0. 0.] \n", + " 4.2 0.4 [0. 1. 0. 0.] \n", + " 7.5 0.4 [0. 0. 1. 0.] \n", + " 9.4 0.4 [0. 0. 0. 1.] \n", + "\n", + "#########\n", + "# Model #\n", + "#########\n", + "\n", + " Model Function\n", + " ==============\n", + "\n", + " linear_model(x; a, b) = a * x + b\n", + "\n", + " X Model\n", + " =======\n", + " 1.0 \n", + " 2.0 \n", + " 3.0 \n", + " 4.0 \n", + "\n", + " Y Model\n", + " =======\n", + " 2.176 \n", + " 4.625 \n", + " 7.075 \n", + " 9.524 \n", + "\n", + "###############\n", + "# Fit Results #\n", + "###############\n", + "\n", + " Model Parameters\n", + " ================\n", + "\n", + " a = 2.45 +/- 0.21\n", + " b = -0.27 +/- 0.57\n", + "\n", + " Model Parameter Correlations\n", + " ============================\n", + "\n", + " a b \n", + " ======= =======\n", + " a 1.0 -0.9122\n", + " b -0.9122 1.0 \n", + "\n", + " Cost Function\n", + " =============\n", + "\n", + " Cost function: chi-square (with covariance matrix)\n", + "\n", + " chi2 / ndf = 1.785 / 2 = 0.8923\n", + "\n", + " chi2 probability = 0.410\n", + "\n" + ] + }, + { + "data": { + "image/png": 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+ "text/plain": [ + "<Figure size 1200x500 with 2 Axes>" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "# Hier importieren Sie die relevanten Module und Objekte von kafe2. In diesem \n", "# Fall handelt es sich um die Objekte vom Typ Fit, Plot und XYContainer\n", @@ -180,7 +384,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.10.12" + "version": "3.9.13" } }, "nbformat": 4,