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#! /usr/bin/env python | |
# 2014-10-13 by Dan Hickstein | |
import numpy as np | |
import matplotlib.pyplot as plt | |
pressure = np.logspace(-3,3,100) | |
def Cknud(pressure,length,diameter): | |
#using equation 1.26 of the Leybold handbook: | |
#https://www3.nd.edu/~nsl/Lectures/urls/LEYBOLD_FUNDAMENTALS.pdf |
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0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 |
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import numpy as np | |
import matplotlib.pyplot as plt | |
import abel | |
import scipy.interpolate, scipy.ndimage.interpolation | |
import time | |
global X,Y,R,T | |
size = 301 |
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import numpy as np | |
import matplotlib.pyplot as plt | |
import matplotlib.gridspec as gridspec | |
import abel | |
from scipy.ndimage import zoom | |
from scipy import signal | |
import peakutils |
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# -*- coding: utf-8 -*- | |
from __future__ import division | |
from __future__ import print_function | |
import numpy as np | |
import abel | |
import matplotlib.pyplot as plt | |
import scipy | |
def direct1d(n=51): |
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import numpy as np | |
import matplotlib.pyplot as plt | |
import pynlo | |
import matplotlib.cm as cm | |
FWHM = 0.2 # pulse duration (ps) | |
pulseWL = 1550 # pulse central wavelength (nm) | |
EPP = 200e-12 # Energy per pulse (J) | |
GDD = 0.0 # Group delay dispersion (ps^2) | |
TOD = 0.0 # Third order dispersion (ps^3) |
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7.946976846400634440e-05 8.667642234809308478e-05 9.450443003223845827e-05 1.030043386224856205e-04 1.122305339989060352e-04 1.222415087244265548e-04 1.331001466999138366e-04 1.448740254584019566e-04 1.576357370272610443e-04 1.714632283235950107e-04 1.864401620851679976e-04 2.026562993765587868e-04 2.202079047479936881e-04 2.391981751623455208e-04 2.597376938439263346e-04 2.819449102409028979e-04 3.059466473313294643e-04 3.318786375406693146e-04 3.598860885763137266e-04 3.901242805216768991e-04 4.227591955688852869e-04 4.579681818047371213e-04 4.959406524991876548e-04 5.368788223790569615e-04 5.809984824016828321e-04 6.285298145735682780e-04 6.797182483876665002e-04 7.348253604793540889e-04 7.941298191251164491e-04 8.579283752295608452e-04 9.265369014647428531e-04 1.000291481241133039e-03 1.079549549201436025e-03 1.164691084936236897e-03 1.256119861624400503e-03 1.354264751300345276e-03 1.459581088444606616e-03 1.572552093583458755e-03 1.693690358566635884e-03 1.823539395169958711e-03 1.962675248640656338e-03 |
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import numpy as np | |
import scipy | |
import time | |
import matplotlib.pyplot as plt | |
print np.__file__ | |
ax = plt.subplot(111) |