In [2]:
#imports
import os
import sys
import numpy as np
import matplotlib
import matplotlib.pyplot as plt
%matplotlib inline
matplotlib.rcParams['font.size'] = 8
matplotlib.rcParams['savefig.dpi'] = 2 * matplotlib.rcParams['savefig.dpi']
import WrightTools as wt
Representing the entire pulse as being within FWHM.
In [3]:
xi = np.linspace(-4, 4, 200)
c = 1.
a = 1.#1./(c*np.sqrt(2.*np.pi))
gauss = a*np.exp(-xi**2.)
plt.plot(xi, gauss)
FWHM = 2.35482*np.sqrt(0.5)
area = np.sqrt(np.pi)
plt.axhline(area/FWHM)
plt.axvline(-FWHM/2)
plt.axvline(FWHM/2)
plt.grid()
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