File:Maxwell-Boltzmann distribution pdf.svg

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Description
English: Probability distribution function for the Maxwell-Boltzmann distribution
Date
Source Own work
Author Krishnavedala
 
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Python Source Code
from numpy import *
from matplotlib.pyplot import *
pdf = lambda a,x: x*x*exp(-x*x/(2*a*a))*sqrt(2/pi)/(a*a*a)
fig = figure(figsize=(5,5))
ax = fig.add_subplot(111)
ax.grid(True)
ax.minorticks_on()
x = linspace(.001,20,150)
ax.plot(x,pdf(1.,x),label=r"a=1",linewidth=2)
ax.plot(x,pdf(2,x),'r',label=r"a=2",linewidth=2)
ax.plot(x,pdf(5,x),'g',label=r"a=5",linewidth=2)
ax.set_ylim(0,0.6)
ax.set_xlim(0,20)
ax.set_xlabel(r'x')
ax.set_ylabel(r'PDF')
ax.legend()
fig.savefig("Test.svg",bbox_inches="tight",pad_inches=.15)

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I, the copyright holder of this work, hereby publish it under the following license:
Creative Commons CC-Zero This file is made available under the Creative Commons CC0 1.0 Universal Public Domain Dedication.
The person who associated a work with this deed has dedicated the work to the public domain by waiving all of their rights to the work worldwide under copyright law, including all related and neighboring rights, to the extent allowed by law. You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission.

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11 October 2012

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Date/TimeThumbnailDimensionsUserComment
current03:40, 22 November 2020Thumbnail for version as of 03:40, 22 November 2020360 × 288 (32 KB)AkanoToEFixed legend
01:07, 22 November 2020Thumbnail for version as of 01:07, 22 November 2020360 × 288 (32 KB)AkanoToEUpdated graph fonts with LaTeX
18:27, 11 October 2012Thumbnail for version as of 18:27, 11 October 2012428 × 418 (39 KB)KrishnavedalaUser created page with UploadWizard
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