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T_C.tex
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T_C.tex
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\documentclass[tikz]{standalone}
\usepackage{cmap}
\usepackage[T2A]{fontenc}
\usepackage[utf8x]{inputenc}
\usepackage{pgfplots}
\begin{document}
\begin{tikzpicture}
\begin{axis}[
grid=both,
scale=1.5,
% xmode=log,
grid style={line width=.1pt, draw=gray!10},
major grid style={line width=.2pt,draw=gray!50},
% axis lines=middle,
minor tick num=5,
% xmin=1000,
% xmax=11,
ymin=0,
% ymax=5,
ylabel={$T$, c},
xlabel={$C$, мкФ},
tick style={very thick},
% scale=0.5,
grid=both,
grid style={line width=1pt, draw=black!20},
major grid style={line width=.5pt,draw=black!90},
minor y tick num=4,
minor x tick num=4,
xtick distance=1/4,
ytick distance=1/4,
% ymax = 1.8,
xmin = 0,
ymin = 0,
% xmax = 40,
% ticklabel style={font=\tiny,fill=white},
axis lines=middle,
% xlabel style={right, xshift=1em},
% ylabel style={above},
x label style={at={(axis description cs:0.5,-0.08)},anchor=north},
y label style={at={(axis description cs:-0.1,.5)},rotate=90,anchor=south}
% legend style={
% at={(rel axis cs:0,1)},
% anchor=north west,draw=none,inner sep=0pt,fill=gray!10}
]
% \addplot +[mark=*, mark size=1.5pt, only marks] plot [error bars/.cd, y dir = both, y explicit] table [x=u, y=i, y error=di, x error=du] {data/vax2.csv};
%plot [error bars/.cd, y dir = both, y explicit]
\addplot +[mark=square*, mark size=2pt, only marks] table [x=c, y=TT] {data/table_c.dat};
\addplot +[mark=*, mark size=1.5pt, only marks] table [x=c, y=T] {data/table_c.dat};
% \addlegendentry{$U_c=-7$ В}
\addplot [samples=100, domain=0:2, dashdotdotted] {2.4/2*x+0};
% Linear model Poly1:
% f(x) = p1*x + p2
% Coefficients (with 95% confidence bounds):
% p1 = 0.9563 (0.6937, 1.219)
% p2 = 0.148 (-0.1618, 0.4577)
% \addplot [samples=100, domain=109.2:240] {(x-109.2)/12.38};
% \addplot [samples=100, domain=106.5:240] {(x-106.5)/12.43};
% \addplot [samples=100, line width=1pt, domain=107.4:240] {(x-107.4)/12.36};
% \addlegendentry{Аппроксимация}
% \addplot [samples=100, domain=0:52, dashdotdotted] {0.05215*e^(-(x-27)^2/2/(7.649)^2)};
% \addlegendentry{$\sigma_k=7.649$}
% >
% General model:
% f(x) = (x-x0)/r0
% Coefficients (with 95% confidence bounds):
% r0 = 12.38 (12.29, 12.47)
% x0 = 109.2 (108.7, 109.7)
% Goodness of fit:
% SSE: 0.3017
% R-square: 0.9993
% Adjusted R-square: 0.9993
% RMSE: 0.07768
\end{axis}
\end{tikzpicture}
\end{document}