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  Important figures that are re-used regularly in talks, etc. (e.g. limit plots, experiment layout diagrams)  ELOG logo
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Entry time:Tue Jan 10 09:00:00 2017
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Attachment 1: collidver_vs_neutrino.py   
# -*- coding: utf-8 -*-
import numpy as np #import numpy
import operator
import matplotlib.pyplot as plt #import matplotlib
from matplotlib import rcParams
rcParams['mathtext.default'] = 'regular'

def f(E):
    return 2*np.sqrt(E)

def main():

	#set up the final plot
	fig = plt.figure(figsize=(11.5,8.5))
	ax1 = fig.add_subplot(1,1,1)
	
	#t1 = np.arange(1e18, 2e19, 100)
	t1= np.array([1e7,1e8,1e9,1e10,1e10,1e11,1e12])
	ax1.plot(t1, f(t1), 'b-',linewidth=5)
	
	#make a vertical line
	ax1.axhline(y=14e3,color='r',linewidth=3)
	#ax1.axvline(x=600,ymin=0, ymax = 0.84, color='r')

	ax1.text(0.38, 0.33, 'LHC at 14 TeV',
        verticalalignment='bottom', horizontalalignment='left',
        transform=ax1.transAxes,
        color='red', fontsize=25)
	
	sizer = 25
	
	ax1.set_xlabel('Incident Neutrino Energy (GeV)',size=sizer,fontweight='bold') #give it a title
	ax1.set_ylabel('Collider COM Energy (GeV)',size=sizer,fontweight='bold')
	ax1.set_xlim([1e6,1e13]) #set the x limits of the plot
	ax1.set_ylim([1e3,5e6]) #set the y limits of the plot
	ax1.tick_params(labelsize=sizer)
	ax1.xaxis.set_tick_params(pad=8)
	ax1.set_yscale('log')
	ax1.set_xscale('log')
	ax1.set_yticks([1e4,1e5,1e6])
	#handles, labels = ax1.get_legend_handles_labels()
	#ax1.legend(handles[::-1], labels[::-1])
	#ax1.legend(handles[0],handles[1])
	#ax1.legend()
	#plt.legend(bbox_to_anchor=(0.9, 0.9), bbox_transform=plt.gcf().transFigure)
	fig.savefig('collider_vs_neutrino.pdf',edgecolor='none') #save the figure

#actually execute the main function
main()
Attachment 2: collider_vs_neutrino.pdf   
Attachment 3:   
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