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author | Anton Luka Šijanec <anton@sijanec.eu> | 2023-03-31 12:23:05 +0200 |
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committer | Anton Luka Šijanec <anton@sijanec.eu> | 2023-03-31 12:23:05 +0200 |
commit | 1b055c87170fad129990d04ecbc3cb08b4f7017e (patch) | |
tree | a9681dab0bbbfd33fe9311c0332168678b572c7a /fiz | |
parent | vaje10nedok (diff) | |
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Diffstat (limited to 'fiz')
-rw-r--r-- | fiz/vaje/10/.gitignore | 1 | ||||
-rw-r--r-- | fiz/vaje/10/dokument.lyx | 49 | ||||
-rwxr-xr-x | fiz/vaje/10/tab.py | 22 |
3 files changed, 54 insertions, 18 deletions
diff --git a/fiz/vaje/10/.gitignore b/fiz/vaje/10/.gitignore index 8c9c1c2..da2a8f9 100644 --- a/fiz/vaje/10/.gitignore +++ b/fiz/vaje/10/.gitignore @@ -1,3 +1,4 @@ *.csv p.tsv podatki.lyx +graf.tex diff --git a/fiz/vaje/10/dokument.lyx b/fiz/vaje/10/dokument.lyx index 3209653..bf0df5c 100644 --- a/fiz/vaje/10/dokument.lyx +++ b/fiz/vaje/10/dokument.lyx @@ -124,10 +124,10 @@ Teoretični model \begin_inset Formula $s_{0}\left(\nu\right)$ \end_inset - je + harmoničnega nihala s tremi parametri je \begin_inset Formula \[ -s_{0}=A\frac{\omega}{\sqrt{\left(\omega^{2}+\omega_{0}^{2}\right)^{2}+4\beta^{2}\omega^{2}}}\text{{,}} +s_{0}=\frac{A}{\sqrt{\left(B^{2}-\omega^{2}\right)^{2}+C^{2}\omega^{2}}}\text{{,}} \] \end_inset @@ -145,15 +145,6 @@ kjer je \end_inset . - Resonančna frekvenca, razbrana iz grafa — vrh, je -\begin_inset Formula $6,5$ -\end_inset - - radianov na sekundo, kar je -\begin_inset Formula $6,5\pi2$ -\end_inset - - nihajev na sekundo. \end_layout \begin_layout Standard @@ -975,7 +966,8 @@ status open \begin_inset Caption Standard \begin_layout Plain Layout -Izmerjeni in izračunani podatki +Izmerjeni in izračunani podatki. + Podatek o amplitudi je natančen na milimeter. \end_layout \end_inset @@ -986,6 +978,10 @@ Izmerjeni in izračunani podatki \end_inset +\begin_inset Note Note +status open + +\begin_layout Plain Layout \begin_inset Float figure placement H wide false @@ -1044,14 +1040,14 @@ addlegendentry{meritve} \backslash -addplot[blue] (x, {0.490752637*x/sqrt((x^2+6.6^2)^2+4*(-0.000179148908)^2*x^2)}); +addplot[blue] (x, {0.47583543/sqrt(-6.87050654^2-x^2)^2+1.2365817^2*x^2}); \end_layout \begin_layout Plain Layout \backslash -addlegendentry{Teoretični model} +addlegendentry{$A=0.47583543$, $B=-6.87050654$, $C=1.2365817$} \end_layout \begin_layout Plain Layout @@ -1224,8 +1220,31 @@ name "fig:graf-1" \end_layout +\end_inset + + +\end_layout + \begin_layout Standard -Meritve se ne ujemajo z napovedano vrednostjo. +\begin_inset CommandInset include +LatexCommand input +filename "graf.tex" + +\end_inset + + +\end_layout + +\begin_layout Standard +Iz grafa za harmonično nihanje razberemo 6,819 kot +\begin_inset Formula $\omega_{0}$ +\end_inset + +, kar pomeni, da je resonančna frekvenca matematičnega nihala +\begin_inset Formula $\SI{1,085}{\per\second}$ +\end_inset + +. \end_layout \end_body diff --git a/fiz/vaje/10/tab.py b/fiz/vaje/10/tab.py index c5c24db..2b0bbae 100755 --- a/fiz/vaje/10/tab.py +++ b/fiz/vaje/10/tab.py @@ -1,7 +1,11 @@ #!/usr/bin/python3 import pandas -import sys +from sys import argv, stderr from math import pi +from numpy import sqrt, arange, argmax +from scipy.optimize import curve_fit +from matplotlib import pyplot +from tikzplotlib import get_tikz_code l = 23.5 df = pandas.read_csv("podatki.tsv", sep="\t") df.index.name = "idx" @@ -9,6 +13,18 @@ df["x"] = (df["y"]/13*l) df["omega"] = ((9.81/df["l"])**(1/2)) df["f"] = (df["omega"]*0.5/pi) df = df.astype(float).round(6); -data = df.values +def objective(x, A, B, C): + return A/sqrt((B**2-x**2)**2+C**2*x**2) +popt, _ = curve_fit(objective, df.values[:, 3], df.values[:, 2]) +print(popt, file=stderr) +pyplot.scatter(df.values[:, 3], df.values[:, 2]) +iksi = arange(min(df.values[:, 3]), max(df.values[:, 3]), 0.01) +ipsiloni = objective(iksi, popt[0], popt[1], popt[2]) +print(f"omega nič je {iksi[argmax(ipsiloni)]}, kar je {iksi[argmax(ipsiloni)]/2/pi} Hz", file=stderr) +pyplot.plot(iksi, ipsiloni, "--", color="red") +pyplot.xlabel('$s_0 \\left[\\si{\\meter}\\right]$') +pyplot.ylabel('$\\omega=2\\pi\\nu$') +pyplot.title("$s_0\\left(\\omega\\right)$") if __name__ == "__main__": - df.to_csv("/dev/stdout", sep=","); + # df.to_csv("/dev/stdout", sep=argv[1][0]); + print(get_tikz_code(axis_width="0.75\\textwidth")) |