diff --git a/Exercise 2/exercise2.py b/Exercise 2/exercise2.py
index 1c4817a..b6c5fc8 100644
--- a/Exercise 2/exercise2.py	
+++ b/Exercise 2/exercise2.py	
@@ -1,9 +1,9 @@
 import matplotlib.pyplot as plt
 import numpy as np
 from scipy import integrate
-from tqdm import tqdm
+from tqdm import tqdm #Import all needed modules
 
-def Fresnel2dreal(yp, xp, y, x, k, z):
+def Fresnel2dreal(yp, xp, y, x, k, z): #Define functions for integral kernels
     kernel = np.cos((k/(2*z))*((x-xp)**2+(y-yp)**2))
     return kernel
 
@@ -11,85 +11,80 @@ def Fresnel2dimag(yp, xp, y, x, k, z):
     kernel = np.sin((k/(2*z))*((x-xp)**2+(y-yp)**2))
     return kernel
 
-c = 3e8
+c = 3e8 #Universal constants
 e0 = 8.85e-12
 
-def plot1D(aperture, z, k, screen_range, resolution):
-    def genData(aperture, z, k, screen_range, resolution):
-        y = 0
+def plot1D(aperture, z, k, screen_range, resolution): #Function for part 1
+    def genData(aperture, z, k, screen_range, resolution): #Function to generate data
+        y = 0 #As in 1D
 
-        xp1=yp1=-aperture/2
+        xp1=yp1=-aperture/2 #Set range over which we are integrating
         xp2=yp2=aperture/2
     
-        xs = np.linspace(-screen_range/2, screen_range/2, num=resolution)
+        xs = np.linspace(-screen_range/2, screen_range/2, num=resolution) #Generate values to calculate for
         intensities = []
 
-        constant = k/2*np.pi*z
-        completion = 0
+        constant = k/2*np.pi*z #Relative intensity constant
         
-        for x in tqdm(xs):
-            realpart, realerror = integrate.dblquad(Fresnel2dreal, xp1, xp2, yp1, yp2, args=(y, x, k, z), epsabs=1e-10, epsrel=1e-10)
+        for x in tqdm(xs): #Loop through all values of x
+            realpart, realerror = integrate.dblquad(Fresnel2dreal, xp1, xp2, yp1, yp2, args=(y, x, k, z), epsabs=1e-10, epsrel=1e-10) #Calculate both real and imaginary parts
             imagpart, imagerror = integrate.dblquad(Fresnel2dimag, xp1, xp2, yp1, yp2, args=(y, x, k, z), epsabs=1e-10, epsrel=1e-10)
 
-            I = c*e0*((realpart*constant)**2+(imagpart*constant)**2)
-            intensities.append(I)
-            completion = completion + 100/resolution
-            print(completion)
+            I = c*e0*((realpart*constant)**2+(imagpart*constant)**2) #Combine parts and constants to get intensity
+            intensities.append(I) #Add calculated intensity to list
         return xs, intensities
 
     ax = plt.axes()
-    xs, intensities = genData(aperture, z, k, screen_range, resolution)
+    xs, intensities = genData(aperture, z, k, screen_range, resolution) #Plot intensity against distance
     ax.plot(xs, intensities)
     # xs, intensities = genData(2e-5, 0.05, 8.377e6, 0.015)
     # ax.plot(xs, intensities)
     plt.show()
 
-def plot2Drectangular(aperture, z, k, screen_range, resolution):
-    def genData(aperture, z, k, screen_range, resolution):
-        xp1=yp1=-aperture/2
+def plot2Drectangular(aperture, z, k, screen_range, resolution): #Function for part 2
+    def genData(aperture, z, k, screen_range, resolution): #Function to generate data
+        xp1=yp1=-aperture/2 #Set integration limits
         xp2=yp2=aperture/2
         
-        xs = np.linspace(-screen_range/2, screen_range/2, num=resolution)
+        xs = np.linspace(-screen_range/2, screen_range/2, num=resolution) #Generate values to integrate for
         ys = np.linspace(-screen_range/2, screen_range/2, num=resolution)
 
         intensities = []
 
-        constant = k/2*np.pi*z
+        constant = k/2*np.pi*z #Relative intensity constant
         completion = 0
 
         for y in tqdm(ys):
             xIntensities = []
             for x in xs:
-                realpart, realerror = integrate.dblquad(Fresnel2dreal, xp1, xp2, yp1, yp2, args=(y, x, k, z), epsabs=1e-10, epsrel=1e-10)
+                realpart, realerror = integrate.dblquad(Fresnel2dreal, xp1, xp2, yp1, yp2, args=(y, x, k, z), epsabs=1e-10, epsrel=1e-10)#Calculate both parts
                 imagpart, imagerror = integrate.dblquad(Fresnel2dimag, xp1, xp2, yp1, yp2, args=(y, x, k, z), epsabs=1e-10, epsrel=1e-10)
 
-                I = c*e0*((realpart*constant)**2+(imagpart*constant)**2)
+                I = c*e0*((realpart*constant)**2+(imagpart*constant)**2)#Combine both parts and constants
                 xIntensities.append(I)
-                completion = completion + 100/resolution**2
-                print(completion)
             intensities.append(xIntensities)
         intensities = np.array(intensities)
         return intensities
 
-    intensity = genData(aperture, z, k, screen_range, resolution)
-    extents = (-screen_range/2,screen_range/2,-screen_range/2,screen_range/2)
+    intensity = genData(aperture, z, k, screen_range, resolution) #Generate the data
+    extents = (-screen_range/2,screen_range/2,-screen_range/2,screen_range/2) #Set limits of the plot
 
-    plt.imshow(intensity,vmin=0.0,vmax=1.0*intensity.max(),extent=extents,origin="lower",cmap="nipy_spectral_r")
+    plt.imshow(intensity,vmin=0.0,vmax=1.0*intensity.max(),extent=extents,origin="lower",cmap="nipy_spectral_r") #Plot the graphs
     plt.colorbar()
     plt.show()
 
-def plot2Dcircular(aperture, z, k, screen_range, resolution):
+def plot2Dcircular(aperture, z, k, screen_range, resolution): #Function for part 3
     def genData(aperture, z, k, screen_range, resolution):
-        xp1=-aperture/2
+        xp1=-aperture/2 #Set integration limits
         xp2=aperture/2
 
         def yp1func(xp):
-            return -np.sqrt((aperture/2)**2-(xp**2))
+            return -np.sqrt((aperture/2)**2-(xp**2)) #Define y limits in terms of x
 
         def yp2func(xp):
             return np.sqrt((aperture/2)**2-(xp**2))
 
-        xs = np.linspace(-screen_range/2, screen_range/2, num=resolution)
+        xs = np.linspace(-screen_range/2, screen_range/2, num=resolution) #Generate values to integrate for
         ys = np.linspace(-screen_range/2, screen_range/2, num=resolution)
 
         intensities = []
@@ -99,8 +94,8 @@ def plot2Dcircular(aperture, z, k, screen_range, resolution):
         for y in tqdm(ys):
             xIntensities = []
             for x in xs:
-                realpart, realerror = integrate.dblquad(Fresnel2dreal, xp1, xp2, yp1func, yp2func, args=(y, x, k, z))
-                imagpart, imagerror = integrate.dblquad(Fresnel2dimag, xp1, xp2, yp1func, yp2func, args=(y, x, k, z))
+                realpart, realerror = integrate.dblquad(Fresnel2dreal, xp1, xp2, yp1func, yp2func, args=(y, x, k, z), epsabs=1e-10, epsrel=1e-10) #Calculate functions using circular limits
+                imagpart, imagerror = integrate.dblquad(Fresnel2dimag, xp1, xp2, yp1func, yp2func, args=(y, x, k, z), epsabs=1e-10, epsrel=1e-10)
 
                 I = c*e0*((realpart*constant)**2+(imagpart*constant)**2)
                 xIntensities.append(I)
@@ -115,32 +110,32 @@ def plot2Dcircular(aperture, z, k, screen_range, resolution):
     plt.colorbar()
     plt.show()
 
-def monte(aperture, z, k, screen_range, resolution, samples):
-    N = samples
+def monte(aperture, z, k, screen_range, resolution, samples): #Function for part 4
+    N = samples #Number of samples
 
-    def doubleInteg(x, y, xp, yp, z, k, aperture):
+    def doubleInteg(x, y, xp, yp, z, k, aperture): #Function to return calculated values for each sample
         values = []
         for i in range(len(xp)):
-            if (xp[i]**2+yp[i]**2) > (aperture/2)**2:
+            if (xp[i]**2+yp[i]**2) > (aperture/2)**2: #Check if point is in the aperture
                 values.append(0)
             else:
-                value = np.exp(((1j*k)/(2*z))*((x-xp[i])**2+(y-yp[i])**2))
+                value = np.exp(((1j*k)/(2*z))*((x-xp[i])**2+(y-yp[i])**2)) #Calculate value if in aperture
                 values.append(value.imag)
         return np.array(values)
     
-    def monteCarlo(x, y, z, k, aperture):
-       xp = np.random.uniform(low=(-aperture/2), high=aperture/2, size=N) 
+    def monteCarlo(x, y, z, k, aperture): #Perform onte carlo method
+       xp = np.random.uniform(low=(-aperture/2), high=aperture/2, size=N) #Generate random samples 
        yp = np.random.uniform(low=(-aperture/2), high=aperture/2, size=N)
-       values = doubleInteg(x, y, xp, yp, z, k , aperture)
+       values = doubleInteg(x, y, xp, yp, z, k , aperture) #Calculate value for each pair of samples
        mean = values.sum()/N
        meansq = (values*values).sum()/N
-       integral = aperture*mean
+       integral = aperture*mean #Calculate the integral end error
        error = aperture*np.sqrt((meansq-mean*mean)/N)
        return integral, error
          
-    def genData(aperture, z, k, resolution, screen_range):
+    def genData(aperture, z, k, resolution, screen_range): ~Function to generate the data
 
-        xs = np.linspace(-screen_range/2, screen_range/2, num=resolution)
+        xs = np.linspace(-screen_range/2, screen_range/2, num=resolution) #Generate values to integrate for
         ys = np.linspace(-screen_range/2, screen_range/2, num=resolution)
 
 
@@ -152,32 +147,28 @@ def monte(aperture, z, k, screen_range, resolution, samples):
         for y in tqdm(ys):
             xIntensities = []
             for x in tqdm(xs):
-                integral, error = monteCarlo(x, y, z, k, aperture)
+                integral, error = monteCarlo(x, y, z, k, aperture) #Find integral vaule using monte carlo method
                 I = c*e0*constant*integral
-                if I < 0.005:
-                    I = 0
-                # completion = completion + 100/resolution**2
-                # print(completion)
                 xIntensities.append(I)
             intensities.append(xIntensities)
         intensities = np.array(intensities)
         return intensities
     
-    intensity = genData(aperture, z, k, resolution, screen_range)
+    intensity = genData(aperture, z, k, resolution, screen_range) #Generate data
     extents = (-screen_range/2,screen_range/2,-screen_range/2,screen_range/2)
 
     plt.imshow(intensity,vmin=1.0*intensity.min(),vmax=1.0*intensity.max(),extent=extents,origin="lower",cmap="nipy_spectral_r")
     plt.colorbar()
     plt.show()
 
-MyInput = '0'
+MyInput = '0' #Selection menu
 while MyInput != 'q':
     MyInput = input('Enter a choice, "1", "2", "3", "4" or "q" to quit: ')
     print('You entered the choice: ',MyInput)
     if MyInput == '1':
         print('You have chosen part (1): 1D rectangular diffraction')
         aperture = input("Please input the desired aperture (m): ")
-        z = input("Please enter the desired distnce from the screen (m): ")
+        z = input("Please enter the desired distance from the screen (m): ")
         wl = input("Please enter the desired wavelength of light (m): ")
         k = (2*np.pi)/float(wl)
         screen_range = input("Please enter the diameter of the screen (m): ")
@@ -186,7 +177,7 @@ while MyInput != 'q':
     elif MyInput == '2':
         print('You have chosen part (2): 2D rectangular diffraction')
         aperture = input("Please input the desired aperture (m): ")
-        z = input("Please enter the desired distnce from the screen (m): ")
+        z = input("Please enter the desired distance from the screen (m): ")
         wl = input("Please enter the desired wavelength of light (m): ")
         k = (2*np.pi)/float(wl)
         screen_range = input("Please enter the diameter of the screen (m): ")
@@ -195,7 +186,7 @@ while MyInput != 'q':
     elif MyInput == '3':
         print('You have chosen part (3): 2D circular diffraction')
         aperture = input("Please input the desired aperture (m): ")
-        z = input("Please enter the desired distnce from the screen (m): ")
+        z = input("Please enter the desired distance from the screen (m): ")
         wl = input("Please enter the desired wavelength of light (m): ")
         k = (2*np.pi)/float(wl)
         screen_range = input("Please enter the diameter of the screen (m): ")
@@ -204,7 +195,7 @@ while MyInput != 'q':
     elif MyInput == '4':
         print('You have chosen part (3): 2D circular diffraction usinf Monte Carlo')
         aperture = input("Please input the desired aperture (m): ")
-        z = input("Please enter the desired distnce from the screen (m): ")
+        z = input("Please enter the desired distance from the screen (m): ")
         wl = input("Please enter the desired wavelength of light (m): ")
         k = (2*np.pi)/float(wl)
         screen_range = input("Please enter the diameter of the screen (m): ")
diff --git a/Exercise 2/main.tex b/Exercise 2/main.tex
index b8c5b1f..f1f1bd7 100644
--- a/Exercise 2/main.tex	
+++ b/Exercise 2/main.tex	
@@ -85,6 +85,8 @@ To allow for this to be calculated computtionally, we will simplify it, integrat
 
 \section{Explanation of Code}
 
+
+
 \section{Results and Discussion}
 
 \section{Conclusion}