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Description: Fermi-Dirac distribution for 4 different temperatures. Created using python from matplotlib.pyplot import * from numpy import * from mpl_toolkits.axisartist import * kT = lambda t: 1./t ni = lambda x, t: 1. / ( exp((x-1.)/kT(t)) + 1. ) x = linspace(0,5,100) fig = figure(figsize=(4,4)) ax = Subplot(fig,"111",axisbg='none') fig.add_subplot(ax) ax.axis["right"].set_visible(False) ax.axis["top"].set_visible(False) ax.plot(x,ni(x,100),'c',label=r'$kT=\mu/100$',lw=2) ax.plot(x,ni(x,10),'b',label=r'$kT=\mu/10$',lw=2) ax.plot(x,ni(x,2),'r',label=r'$kT=\mu/2$',lw=2) ax.plot(x,ni(x,1),'y',label=r'$kT=\mu$',lw=2) ax.set_ylabel(r'$\bar{n}$',fontsize=15) ax.set_xlabel(r'$\epsilon/\mu$',fontsize=12) ax.set_yticks(arange(0,1.2,.2)) ax.grid(True) ax.minorticks_on() ax.set_xlim(0,5) ax.set_ylim(-.1,1.1) ax.legend(frameon=False, handletextpad=0,loc='upper right',\ labelspacing=.05) setp(ax.get_legend().get_texts(),fontsize=12) fig.savefig("FD_e_mu.svg",bbox_inches="tight",\ pad_inches=.15)
Title: FD e mu
Credit: Own work
Author: Krishnavedala
Usage Terms: Creative Commons Attribution-Share Alike 3.0
License: CC BY-SA 3.0
License Link: https://creativecommons.org/licenses/by-sa/3.0
Attribution Required?: Yes

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