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	<updated>2026-06-12T20:51:24Z</updated>
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	<entry>
		<id>http://fiscomp.if.ufrgs.br/index.php?title=Lpdf&amp;diff=8902&amp;oldid=prev</id>
		<title>Leomigotto: Criou página com &#039;&lt;source lang = python&gt; import numpy as np import matplotlib.pyplot as plt import os  codigo = ( #DIGITE O CÓDIGO AQUI 813447 )  valores = np.load(f&quot;.\\#{codigo}\\val#{codigo}...&#039;</title>
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		<updated>2022-10-18T20:57:27Z</updated>

		<summary type="html">&lt;p&gt;Criou página com &amp;#039;&amp;lt;source lang = python&amp;gt; import numpy as np import matplotlib.pyplot as plt import os  codigo = ( #DIGITE O CÓDIGO AQUI 813447 )  valores = np.load(f&amp;quot;.\\#{codigo}\\val#{codigo}...&amp;#039;&lt;/p&gt;
&lt;p&gt;&lt;b&gt;Página nova&lt;/b&gt;&lt;/p&gt;&lt;div&gt;&amp;lt;source lang = python&amp;gt;&lt;br /&gt;
import numpy as np&lt;br /&gt;
import matplotlib.pyplot as plt&lt;br /&gt;
import os&lt;br /&gt;
&lt;br /&gt;
codigo = (&lt;br /&gt;
#DIGITE O CÓDIGO AQUI&lt;br /&gt;
813447&lt;br /&gt;
)&lt;br /&gt;
&lt;br /&gt;
valores = np.load(f&amp;quot;.\\#{codigo}\\val#{codigo}.npy&amp;quot;)&lt;br /&gt;
(&lt;br /&gt;
intervalo,      alfa,           beta,           gaminha,        temp,&lt;br /&gt;
dt,             tmax,           npar,           seedinicial&lt;br /&gt;
) = (&lt;br /&gt;
valores[0],     valores[1],     valores[2],     valores[3],     valores[4],&lt;br /&gt;
valores[5],     valores[6],     valores[7],     valores[8]&lt;br /&gt;
)&lt;br /&gt;
&lt;br /&gt;
tmax = int(tmax)&lt;br /&gt;
&lt;br /&gt;
temp = int(temp)&lt;br /&gt;
&lt;br /&gt;
estadoaleatorio = tuple(np.load(f&amp;quot;.\\#{codigo}\\state#{codigo}.npy&amp;quot;, allow_pickle = True))&lt;br /&gt;
&lt;br /&gt;
xy = np.load(f&amp;quot;.\\#{codigo}\\xy#{codigo}.npy&amp;quot;)&lt;br /&gt;
&lt;br /&gt;
pxy = np.load(f&amp;quot;.\\#{codigo}\\pxy#{codigo}.npy&amp;quot;)&lt;br /&gt;
&lt;br /&gt;
npassos = int(np.round(tmax/dt))&lt;br /&gt;
&lt;br /&gt;
nsalvos = int((npassos/intervalo) + 1)&lt;br /&gt;
&lt;br /&gt;
tempos = np.linspace(0, tmax, nsalvos)&lt;br /&gt;
&lt;br /&gt;
plt.figure(figsize = (6,6))&lt;br /&gt;
&lt;br /&gt;
p = np.sqrt(pxy[:, 0]**2 + pxy[:, 1]**2)&lt;br /&gt;
#MOMENTUM MAIS COMUM&lt;br /&gt;
n, bins, patches = plt.hist(p, 500, histtype = &amp;quot;step&amp;quot;,  density = True)&lt;br /&gt;
maior = np.argmax(n)&lt;br /&gt;
pcomum = (bins[maior + 1] + bins[maior])/2&lt;br /&gt;
plt.axvline(pcomum, color = &amp;quot;red&amp;quot;, alpha = 0.4, label = f&amp;quot;Momentum mais provável: {pcomum:.3f}&amp;quot;)&lt;br /&gt;
#MOMENTUM MEDIO&lt;br /&gt;
pmed = np.mean(p)&lt;br /&gt;
plt.axvline(pmed, c = &amp;quot;green&amp;quot;, label = f&amp;quot;Momentum médio: {pmed:.3f}&amp;quot;)&lt;br /&gt;
#MOMENTUM QUADRADO MEDIO&lt;br /&gt;
pqmed = np.sqrt(np.mean(p**2))&lt;br /&gt;
plt.axvline(pqmed, color = &amp;quot;purple&amp;quot;, alpha = 0.4, label = f&amp;quot;Momentum rms: {pqmed:.3f}\n&amp;quot; + r&amp;quot;$\frac{p_{rms}}{\sqrt{T}}$&amp;quot; + f&amp;quot;: {pqmed/np.sqrt(temp):.3f}&amp;quot;)&lt;br /&gt;
plt.xlim(0, 7)&lt;br /&gt;
plt.ylim(0, 0.7)&lt;br /&gt;
plt.grid(alpha = 0.3)&lt;br /&gt;
plt.legend(loc = 1)&lt;br /&gt;
plt.title(f&amp;quot;Momentum em módulo\n&amp;quot; + r&amp;quot;$\gamma$ = &amp;quot; + f&amp;quot;{gaminha}, Temp. = {temp}, &amp;quot; + r&amp;#039;$\Delta t$ = &amp;#039;+f&amp;#039;{dt}, Instantes = {nsalvos}&amp;#039;)&lt;br /&gt;
plt.ylabel(r&amp;#039;$P(x)$&amp;#039;)&lt;br /&gt;
plt.xlabel(r&amp;#039;$\left|\vec{p}(t)\right|$&amp;#039;)&lt;br /&gt;
&lt;br /&gt;
plt.hist(p[:1000000001], 500, histtype = &amp;quot;step&amp;quot;,  density = True, color = &amp;quot;orange&amp;quot;, alpha = 0.5)&lt;br /&gt;
&lt;br /&gt;
plt.savefig(f&amp;quot;.\\ANIMPDF\\{1000000001}.png&amp;quot;)&lt;br /&gt;
&amp;lt;/source&amp;gt;&lt;/div&gt;</summary>
		<author><name>Leomigotto</name></author>
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