diff --git a/Midterm_submittion.py b/Midterm_submittion.py
new file mode 100644
index 0000000..dfbf88d
--- /dev/null
+++ b/Midterm_submittion.py
@@ -0,0 +1,445 @@
+#!/usr/bin/env python
+# coding: utf-8
+
+
+import numpy as np
+import math
+import imageio
+import time
+import random
+import cython
+
+
+
+"""
+This class allows us to manipulate vectors
+Not all of the functions are used yet - but they might be later when we start adding things
+"""
+
+@cython.cclass
+class Vec3:
+    v = cython.declare(cython.float[3],visibility="public")
+    def __cinit__(self, x:cython.double =0, y:cython.double=0, z:cython.double=0):
+        self.v:cython.float[3] = [x, y, z]
+
+    def __init__(self, x:cython.double =0, y:cython.double=0, z:cython.double=0):
+        self.v:cython.float[3] = [x, y, z]
+
+    def __add__(self, other):
+        return Vec3(self.v[0] + other.v[0],self.v[1] + other.v[1],self.v[2] + other.v[2],)
+
+    def __sub__(self, other):
+        return Vec3(self.v[0] - other.v[0],self.v[1] - other.v[1],self.v[2] - other.v[2],)
+
+    def __mul__(self, other):
+        if isinstance(other, Vec3):
+            return Vec3(self.v[0] * other.v[0],self.v[1] * other.v[1],self.v[2] * other.v[2],)
+        elif isinstance(other, (int, float)):
+            return Vec3(self.v[0] * other,self.v[1] * other,self.v[2] * other,)
+        raise TypeError("Can only multiply by a Vec3 or scalar (int or float).")
+
+    @cython.cfunc
+    def __truediv__(self, scalar):
+        if scalar == 0:
+            raise ValueError("Cannot divide by zero.")
+        return Vec3(*(self.v[i] / scalar for i in range(3)))
+
+    def length(self)->cython.float:
+        return math.sqrt(self.v[0]**2 + self.v[1]**2 + self.v[2]**2)
+
+    @cython.cfunc
+    def normalize(self):
+        length = self.length()
+        return self / length if length > 0 else Vec3()
+
+    def to_tuple(self):
+        return (self.v[0],self.v[1],self.v[2])
+
+    def __repr__(self):
+        return f"Vec3({self.v[0]}, {self.v[1]}, {self.v[2]})"
+
+    @cython.cfunc
+    def dot(self, other):
+        return self.v[0]* other.v[0]+self.v[1]* other.v[1]+self.v[2]* other.v[2]
+
+
+
+
+"""
+Here we will be calculating what the value for n is based on T, P, but we will
+also be taking dispersion into account - remember, we are considering 440 nm, 550 nm, 680 nm
+
+These equations match the tabulated results made by Penndorf
+"""
+
+wavelengths = Vec3(0.68, 0.55, 0.44)  # These are the wavelengths in um
+
+# The n_s values gives us the different refractive indices for the different wavelenghts
+# The n values give us the new refractive indices depending on the temperature and pressure
+
+@cython.cfunc
+def refraction_calculator(T:cython.int, P:cython.int) -> tuple[Vec3, Vec3]:
+    alpha:cython.float = 0.00367  # in inverse Celsius
+    t_s:cython.int = 15  # degrees Celsius
+    p_s:cython.int = 760  # mmHg
+    
+    n_s_values = []  # for debugging / comparing to the internet values
+    n_values = []
+    n_s:cython.double
+    n:cython.double
+    i:cython.int
+    for i in [wavelengths.v[0], wavelengths.v[1], wavelengths.v[2]]:
+        n_s = 1 + (0.05792105 / (238.0185 - i**-2) + 0.00167917 / (57.362 - i**-2))
+        
+        n = ((n_s - 1) * ((1 + alpha * t_s) / (1 + alpha * T)) * (P / p_s)) + 1
+        
+        n_s_values.append(n_s)
+        n_values.append(n)
+
+    return Vec3(*n_s_values), Vec3(*n_values)
+
+@cython.cfunc
+def beta(n_values:Vec3):
+    
+    N_s:cython.double = 2.54743e7  # um^-3
+    
+    beta_values = []
+
+    for i, n in enumerate(n_values.v):
+        wavelength = wavelengths.v[i]  # Corresponding wavelength value
+        beta_1 = ((8 * math.pi * (n**2 - 1)**2) / ((2 * N_s) * (wavelength)**4))*1e6  # The whole thing should be in m^-1 to match with the rest of the code
+       
+        beta = (beta_1*10)
+        beta_values.append(beta)
+
+    return Vec3(beta_values[0],beta_values[1],beta_values[2])
+    
+
+# Example usage, normal is 25, 750
+T:cython.int = 5  # Temperature in degrees Celsius
+P:cython.int = 760  # Pressure in mmHg
+n_s_values:Vec3
+n_values:cython.double
+n_s_values, n_values = refraction_calculator(T, P)
+beta_values = beta(n_values)
+
+#print("n_s values:", refraction_calculator_result.v)
+#print("n values:", n_values.v)
+#print("Beta values:", beta_values.v)
+
+
+# In[7]:
+
+
+"""
+Here we are able to change the sun's direction - once the GUI is in place, this will be done from there
+"""
+
+kInfinity = float('inf')
+angle_degrees:cython.int = 90  # Sun direction in degrees (0 to 90, noon to sunset)
+angle_radians:cython.double = math.radians(angle_degrees)  # Convert to radians
+sunDir:Vec3 = Vec3(0, math.cos(angle_radians), -math.sin(angle_radians))
+
+
+"""
+The betaR values come from the previous cell
+"""
+
+#betaR = Vec3(3.8e-6, 13.5e-6, 33.1e-6), this is what the Nishita paper used
+betaR = Vec3(*beta_values.v)  # Keeps it as a Vec3
+
+
+"""
+There are many "categories" of aerosols and each has their own extinction coefficient (I removed the factor of 1.1)
+
+Continental Clean - 26e-6     g = 0.709
+Continental Average - 75e-6   g = 0.703
+Continental Polluted - 175e-6 g = 0.698
+
+Urban - 353e-6                g = 0.689
+
+Desert - 145e-6               g = 0.729
+
+Maritime Clean - 90e-6        g = 0.772
+Maritime Polluted - 115e-6    g = 0.756
+Maritime Tropic - 43e-6       g = 0.774
+
+Arctic - 23e-6                g = 0.721
+
+Antarctic - 11e-6             g = 0.784
+
+
+"""
+betaM = Vec3(11e-6, 11e-6, 11e-6) # We need to have the Mie scattering be the same in all the directions
+# The greater the value of beta, the smaller the Mie scattering point (responsable for the halo around the sun)
+# If there is more pollution, we get a larger halo and the colors of the sunset become desaturated (more hazy)
+# Default is 21e-6
+
+# For the value of betaM, we also need to change the anisotropy factor. This is in the same paper. 
+g = 0.784
+
+"""
+The atmosphere model we use is as follows, with the radii and the scale heights
+"""
+earthRadius:cython.int = 6360e3 #m
+atmosphereRadius:cython.int = 6420e3 #m (60 km higher than earth)
+Hr:cython.int = 7994
+Hm:cython.int = 1200
+
+
+# In[8]:
+
+
+"""
+This is the compute incident light funciton from Nishita's paper
+We translated it to Python and then are using cython to make it go faster
+
+This is all explained in more detail in the submitted PDF
+"""
+
+@cython.cfunc
+def computeIncidentLight(direction:Vec3) -> tuple[float,float,float]:
+    tmin:cython.float=0
+    tmax:cython.float=kInfinity
+
+    # We can change the origin position if we want, but for now it is 1 meter above the surface
+    orig:Vec3 = Vec3(0, earthRadius + 1, 0)
+    t0:cython.float
+    t1:cython.float
+    t0, t1 = raySphereIntersect(orig, direction, atmosphereRadius)
+    if t1 < 0:
+        return Vec3(0, 0, 0)
+    if t0 > tmin and t0 > 0:
+        tmin = t0
+    if t1 < tmax:
+        tmax = t1
+
+    numSamples:int = 16
+    numSamplesLight:int = 8
+    segmentLength = (tmax - tmin) / numSamples
+    tCurrent = tmin
+    sumR = Vec3()
+    sumM = Vec3()
+    opticalDepthR = 0
+    opticalDepthM = 0
+    mu:cython.float = direction.dot(sunDir) # This is the cosine of the angle between the direction vector (V) and the sun Direction
+
+    """
+    Phase functions - the anisotropy factor depends on the Mie scattering we have chosen, it is defined in the previous cell
+    """
+    phaseR = (3 * (1 + (mu * mu))) / (16 * math.pi)
+    phaseM = 3 / (8 * math.pi) * ((1 - g * g) * (1 + mu * mu)) / ((2 + g * g) * ((1 + g * g - 2 * g * mu) ** 1.5))
+
+    i:cython.int
+    for i in range(numSamples):
+        samplePosition = orig + direction * (tCurrent + segmentLength * 0.5)
+        height = samplePosition.length() - earthRadius
+        hr = math.exp(-height / Hr) * segmentLength
+        hm = math.exp(-height / Hm) * segmentLength
+        opticalDepthR += hr
+        opticalDepthM += hm
+
+        # Sample position is the start, but it should be in the direction of the sun
+        t0Light, t1Light = raySphereIntersect(samplePosition, sunDir, atmosphereRadius)
+
+        if t1Light < 0:
+            continue
+
+        segmentLengthLight = (t1Light - t0Light) / numSamplesLight
+        tCurrentLight = 0
+        opticalDepthLightR = 0
+        opticalDepthLightM = 0
+
+        j:cython.int
+        for j in range(numSamplesLight):
+            samplePositionLight = samplePosition + (sunDir * (tCurrentLight + segmentLengthLight * 0.5))
+            heightLight = samplePositionLight.length() - earthRadius
+            if heightLight < 0:
+                break
+            opticalDepthLightR += (math.exp(-heightLight / Hr) * segmentLengthLight)
+            opticalDepthLightM += (math.exp(-heightLight / Hm) * segmentLengthLight)
+            tCurrentLight += segmentLengthLight
+
+        if j == numSamplesLight - 1:
+            tau = (betaR * (opticalDepthR + opticalDepthLightR)) + (betaM * (opticalDepthM + opticalDepthLightM))
+            attenuation = Vec3(math.exp(-tau.v[0]), math.exp(-tau.v[1]), math.exp(-tau.v[2]))
+            sumR += (attenuation * hr)
+            sumM += (attenuation * hm)
+        tCurrent += (segmentLength)
+
+    # Changing the * 20 number just changes the intensity os the light, it does not much change the colors themselves, this is the "magic number" Nishita used
+    final_color = (sumR * betaR * phaseR + sumM * betaM * phaseM) * 20 
+    return final_color.to_tuple()
+
+
+# In[9]:
+
+
+"""
+These are complimentary functions that are used to solve the intensity of light. Again, from nishita's paper
+"""
+
+@cython.cfunc
+def raySphereIntersect(orig:Vec3, direction:Vec3, radius:cython.double) -> tuple[cython.float,cython.float]:
+    A:cython.double = direction.v[0]**2 + direction.v[1]**2 +direction.v[2]**2
+    B:cython.double = 2 * (direction.v[0]*orig.v[0] +direction.v[1]*orig.v[1] +direction.v[2]*orig.v[2] )
+    C:cython.double = orig.v[0]**2 + orig.v[1]**2 +orig.v[2]**2 - radius ** 2
+
+    t0: cython.float
+    t1: cython.float
+    t0, t1 = solveQuadratic(A, B, C)
+    if t1 < 0:
+        return (kInfinity, kInfinity)
+    if t0 > t1:
+        t0, t1 = t1, t0
+    return (t0, t1)
+
+@cython.cfunc
+def solveQuadratic(a:cython.double, b:cython.double, c:cython.double) -> tuple[cython.float,cython.float]:
+    if b == 0:
+        if a == 0:
+            return (0, 0)
+        x1 = 0
+        x2 = math.sqrt(-c / a)
+        return (x1, x2)
+    discr = b ** 2 - 4 * a * c
+    if discr < 0:
+        return (kInfinity, kInfinity)
+
+    q = (-0.5 * (b - np.sqrt(discr))) if b < 0 else (-0.5 * (b + np.sqrt(discr)))
+    x1 = q / a
+    x2 = c / q
+    return (x1, x2)
+
+
+# In[10]:
+
+
+"""
+Rendering Skydome image
+"""
+
+@cython.cfunc
+def renderSkydome(filename):
+    width:cython.int
+    height:cython.int
+    width, height = 256,256
+    image = np.zeros((height, width, 3), dtype=float)
+
+    start_time = time.time()  # Start timing
+
+    j:cython.int
+    i:cython.int
+    x:cython.float
+    y:cython.float
+    z2:cython.float
+    phi:float
+    theta:float
+    direction:Vec3
+    for j in range(height):
+        for i in range(width):
+            x = 2 * (i + 0.5) / (width - 1) - 1
+            y = 2 * (j + 0.5) / (height - 1) - 1
+            z2 = x * x + y * y
+            if z2 <= 1:
+                phi = math.atan2(y, x)
+                theta = math.acos(1 - z2)
+                # This changes for each pixel
+                direction = Vec3(math.sin(theta) * math.cos(phi), math.cos(theta), math.sin(theta) * math.sin(phi))
+                color = computeIncidentLight(direction)
+                #color = computeIncidentLight(direction)
+
+
+                # Assign the clipped color directly to the image array
+                image[j][i][0] = np.clip(color, 0, 1)[0]
+                image[j][i][1] = np.clip(color, 0, 1)[1]
+                image[j][i][2] = np.clip(color, 0, 1)[2]
+
+        # Print elapsed time after each row
+        elapsed_time = time.time() - start_time
+        print(f"Rendering row {j + 1}/{height}, elapsed time: {elapsed_time:.2f} seconds")
+        #print(f"Rendering row {j + 1}/{height}")
+
+    # Save result to a PNG image
+    image = np.clip(image, 0, 1) * 255 # change 255
+    imageio.imwrite(filename, image.astype(np.uint8))
+
+
+
+# In[11]:
+
+
+"""
+Rendering camera image
+"""
+
+
+def renderFromCamera(filename: str):
+    width: cython.int = 252
+    height: cython.int = 252
+    image = np.zeros((height, width, 3), dtype=np.float32)
+
+    aspectRatio: cython.float = width / float(height)
+    fov: cython.float = 65.0  # Field of view
+    angle: cython.float = np.tan(fov * np.pi / 180 * 0.5)  # Camera's view angle
+
+    start_time = time.time()  # Start timing
+
+    numPixelSamples: cython.int = 4
+    y: cython.int
+    x: cython.int
+    m: cython.int
+    n: cython.int
+    rayx: cython.float
+    rayy: cython.float
+    direction: Vec3
+    color: tuple  # Assuming computeIncidentLight returns a tuple
+
+    for y in range(height):
+        for x in range(width):
+            sum_color = np.zeros(3, dtype=np.float32)  # Use numpy array for accumulation
+
+            for m in range(numPixelSamples):
+                for n in range(numPixelSamples):
+                    # Compute ray direction with jitter
+                    rayx = (2 * (x + (m + random.uniform(0, 1)) / numPixelSamples) / float(width) - 1) * aspectRatio * angle
+                    rayy = (1 - (y + (n + random.uniform(0, 1)) / numPixelSamples) / float(height) * 2) * angle
+                    
+                    # Create the direction vector and normalize it
+                    direction = Vec3(rayx, rayy, -1).normalize()
+                    color = computeIncidentLight(direction)  # Assuming this returns a tuple
+
+                    # Accumulate color values
+                    sum_color[0] += color[0]
+                    sum_color[1] += color[1]
+                    sum_color[2] += color[2]
+
+            # Average the accumulated color and clip to [0, 1]
+            image[y, x] = np.clip(sum_color / (numPixelSamples * numPixelSamples), 0, 1)
+
+        # Print elapsed time after each row
+        elapsed_time = time.time() - start_time
+        print(f"Rendering row {y + 1}/{height}, elapsed time: {elapsed_time:.2f} seconds")
+
+    # Save the result to a PNG image
+    image = np.clip(image, 0, 1) * 255
+    imageio.imwrite(filename, image.astype(np.uint8))
+
+     
+
+
+# In[12]:
+
+
+"""
+Testing
+"""
+
+renderSkydome("test.png")
+
+
+# In[ ]:
+
+
+
+
diff --git a/app.py b/app.py
index 4fae26b..8446f19 100644
--- a/app.py
+++ b/app.py
@@ -13,89 +13,181 @@ def get_api_params(coords):
 
 # create tkinter window
 root_tk = tkinter.Tk()
-root_tk.geometry(f"{1000}x{700}")
-root_tk.title("map_view_simple_example.py")
-
-# create map widget
-map_widget = tkintermapview.TkinterMapView(root_tk, width=1000, height=700, corner_radius=0)
-map_widget.pack(fill="both", expand=True)
 
 # set other tile server (standard is OpenStreetMap)
 # map_widget.set_tile_server("https://mt0.google.com/vt/lyrs=m&hl=en&x={x}&y={y}&z={z}&s=Ga", max_zoom=22)  # google normal
 # map_widget.set_tile_server("https://mt0.google.com/vt/lyrs=s&hl=en&x={x}&y={y}&z={z}&s=Ga", max_zoom=22)  # google satellite
 
+def printer():
+    print("button")
+
+environment_tk = tkinter.Tk()
+
 
 
 class renderedImageZoom:
-    def __init__(self,root,coords):
-        self.image_window = root
+    def __init__(self,root,image_window,aerosol_window):
+        self.root = root
+        self.root.geometry(f"{1000}x{700}")
+        self.root.title("map_view_simple_example.py")
+
+        self.aerosol_window = aerosol_window
+# create map widget
+        self.map_widget = tkintermapview.TkinterMapView(self.root, width=1000, height=700, corner_radius=0)
+        self.map_widget.pack(fill="both", expand=True)
+        self.map_widget.add_right_click_menu_command(label="Set as observer location",
+                                                command=self.add_marker_event,
+                                                pass_coords=True)
+
+        self.map_widget.add_right_click_menu_command(label="get altitude",
+                                                command=self.get_altitude,
+                                                pass_coords=True)
+
+        #self.map_widget.add_right_click_menu_command(label="open_window",
+        #                                        command=self.show_image,
+        #                                        pass_coords=True)
+
+
+        self.aerosol_window.title("options selector")
+
+
+
+        environemnt_info_text = tkinter.Label(self.aerosol_window, text="Please choose in which environment the sunset is occuring")
+        environemnt_info_text.pack(side='top',pady=20,padx=10)
+
+
+#Continental Clean - 26e-6       g = 0.709
+#Continental Average - 75e-6     g = 0.703
+#Continental Polluted - 175e-6   g = 0.698
+#                                          
+#Urban - 353e-6                  g = 0.689
+#                                          
+#Desert - 145e-6                 g = 0.729
+#                                          
+#Maritime Clean - 90e-6          g = 0.772
+#Maritime Polluted - 115e-6      g = 0.756
+#Maritime Tropic - 43e-6         g = 0.774
+#                                          
+#Arctic - 23e-6                  g = 0.721
+#                                          
+#Antarctic - 11e-6               g = 0.784
+
+        buton_cont_clean = tkinter.Button(self.aerosol_window,text="Continental Clean",command=lambda: self.env_setter(26e-6,0.709));
+        buton_cont_clean.pack(side='top',padx=10,pady=5)
+
+        buton_cont_avr = tkinter.Button(self.aerosol_window,text="Continental Average ",command=lambda: self.env_setter(75e-6,0.793));
+        buton_cont_avr.pack(side='top',padx=10,pady=5)
+
+        buton_cont_poll = tkinter.Button(self.aerosol_window,text="Continental Polluted ",command=lambda: self.env_setter(175e-6,0.698));
+        buton_cont_poll.pack(side='top',padx=10,pady=5)
+
+        buton_urban = tkinter.Button(self.aerosol_window,text="Urban ",command=lambda: self.env_setter(353e-6,0.689));
+        buton_urban.pack(side='top',padx=10,pady=5)
+
+        buton_desert = tkinter.Button(self.aerosol_window,text="Desert ",command=lambda: self.env_setter(145e-6,0.729));
+        buton_desert.pack(side='top',padx=10,pady=5)
+
+        buton_mar_clean = tkinter.Button(self.aerosol_window,text="Maritime Clean ",command=lambda: self.env_setter(90e-6,0.772));
+        buton_mar_clean.pack(side='top',padx=10,pady=5)
+
+        buton_mar_poll = tkinter.Button(self.aerosol_window,text="Maritime Polluted ",command=lambda: self.env_setter(115e-6,0.756));
+        buton_mar_poll.pack(side='top',padx=10,pady=5)
+
+        buton_mar_tro = tkinter.Button(self.aerosol_window,text="Maritime Tropic ",command=lambda: self.env_setter(43e-6,0.774));
+        buton_mar_tro.pack(side='top',padx=10,pady=5)
+
+        buton_arctic = tkinter.Button(self.aerosol_window,text="Arctic ",command=lambda: self.env_setter(23e-6,0.721));
+        buton_arctic.pack(side='top',padx=10,pady=5)
+
+        buton_antarctic = tkinter.Button(self.aerosol_window,text="Antarctic ",command=lambda: self.env_setter(11e-6,0.784));
+        buton_antarctic.pack(side='top',padx=10,pady=5)
+
+
+        self.image_window = image_window
 
         self.image_window.title("Simulated Sunset")
         self.image_window.config(width=256,height=256)
-        image = skydome.renderFromCamera(coords)
+        #image = skydome.renderFromCamera(coords)
         self.canvas = tkinter.Canvas(self.image_window,bg="white")
         self.canvas.pack(fill=tkinter.BOTH,expand=True)
+        #self.img = Image.fromarray(image,mode="RGB")
+        #self.tk_image = ImageTk.PhotoImage(width=256,height=256,image=self.img)
+        #img = ImageTk.PhotoImage(Image.open("highpress_camera.png"))
+
+        #self.canvas.create_image(0,0, anchor="center", image=self.tk_image)
+        zoom_in_button = tkinter.Button(self.image_window, text="Zoom In", command=self.zoom_in)
+        zoom_out_button = tkinter.Button(self.image_window, text="Zoom Out", command=self.zoom_out)
+        render_button = tkinter.Button(self.image_window,text="render",command=self.render)
+        zoom_in_button.pack(side=tkinter.LEFT)
+        zoom_out_button.pack(side=tkinter.LEFT)
+        render_button.pack(side=tkinter.RIGHT)
+
+        self.canvas.bind("<Button-4>",self.zoom_in)
+        self.canvas.bind("<Button-5>", self.zoom_out)
+
+    def env_setter(self,environment_constant,g):
+        self.betaM = skydome.Vec3(environment_constant,environment_constant,environment_constant)
+        self.g = g
+
+    def render(self):
+        image = skydome.renderFromCamera(self.coords,self.betaM,self.g,self.altitude)
         self.img = Image.fromarray(image,mode="RGB")
         self.tk_image = ImageTk.PhotoImage(width=256,height=256,image=self.img)
         #img = ImageTk.PhotoImage(Image.open("highpress_camera.png"))
 
         self.canvas.create_image(0,0, anchor="nw", image=self.tk_image)
-        zoom_in_button = tkinter.Button(self.image_window, text="Zoom In", command=self.zoom_in)
-        zoom_out_button = tkinter.Button(self.image_window, text="Zoom Out", command=self.zoom_out)
-        zoom_in_button.pack(side=tkinter.LEFT)
-        zoom_out_button.pack(side=tkinter.LEFT)
 
-        self.canvas.bind("<Button-4>",self.zoom_in)
-        self.canvas.bind("<Button-5>", self.zoom_out)
+    
 
     def zoom_in(self, event=None):
         # Increase the image size by a factor (e.g., 1.2)
         self.img = self.img.resize((int(self.img.width * 1.2), int(self.img.height * 1.2)))
         self.tk_image = ImageTk.PhotoImage(self.img)
         self.canvas.delete("all")
-        self.canvas.create_image(0, 0, anchor=tkinter.NW, image=self.tk_image)
+        self.canvas.create_image(0, 0, anchor="nw", image=self.tk_image)
 
     def zoom_out(self, event=None):
         # Decrease the image size by a factor (e.g., 0.8)
         self.img = self.img.resize((int(self.img.width * 0.8), int(self.img.height * 0.8)))#,resampling)
         self.tk_image = ImageTk.PhotoImage(self.img)
         self.canvas.delete("all")
-        self.canvas.create_image(0, 0, anchor=tkinter.NW, image=self.tk_image)
+        self.canvas.create_image(0, 0, anchor="nw", image=self.tk_image)
 
 
 
-def show_image(coords):
-    image_window = tkinter.Toplevel()
+#    def show_image(self,coords):
+#        self.coords = coords
+        #image_shower = renderedImageZoom(image_window,coords)
+#        self.image_window.mainloop()
 
-    image_shower = renderedImageZoom(image_window,coords)
-    image_window.mainloop()
+    def add_marker_event(self,coords):
+        self.coords = coords
+        print("marker added to {}".format(self.coords))
+        self.map_widget.delete_all_marker()
+        new_marker = self.map_widget.set_marker(self.coords[0], self.coords[1], text="sunset observer")
+        self.get_altitude(coords)
 
-def marker_click(marker):
-    print(f"marker clicked - text: {marker.text}  position: {marker.position}")
+    def marker_click(self,marker):
+        print(f"marker clicked - text: {marker.text}  position: {marker.position}")
 
 
-def add_marker_event(coords):
-    print("marker added to {}".format(coords))
-    map_widget.delete_all_marker()
-    new_marker = map_widget.set_marker(coords[0], coords[1], text="sunset observer")
 
 
-def get_altitude(coords):
-    print("getting altitude for {}\n".format(coords))
-    params = get_api_params(coords)
-    r = requests.get(URL,params)
-    data = r.json()
-    print(data['results'][0]['elevation'])
+    def get_altitude(self,coords):
+        self.coords = coords
+        print("getting altitude for {}\n".format(self.coords))
+        params = get_api_params(self.coords)
+        r = requests.get(URL,params)
+        data = r.json()
+        print(data['results'][0]['elevation'])
+        self.altitude = data['results'][0]['elevation']
 
-map_widget.add_right_click_menu_command(label="Set as observer location",
-                                        command=add_marker_event,
-                                        pass_coords=True)
 
-map_widget.add_right_click_menu_command(label="get altitude",
-                                        command=get_altitude,
-                                        pass_coords=True)
 
-map_widget.add_right_click_menu_command(label="open_window",
-                                        command=show_image,
-                                        pass_coords=True)
+
+image_window = tkinter.Toplevel()
+
+#image_shower = renderedImageZoom(image_window,coords)
+image_shower = renderedImageZoom(root_tk,image_window,environment_tk)
 root_tk.mainloop()
+
diff --git a/skydome.py b/skydome.py
index 471c721..e665ef8 100644
--- a/skydome.py
+++ b/skydome.py
@@ -222,7 +222,7 @@ Antarctic - 11e-6
 
 
 """
-betaM = Vec3(21e-6, 21e-6, 21e-6) # We need to have the Mie scattering be the same in all the directions
+#betaM = Vec3(21e-6, 21e-6, 21e-6) # We need to have the Mie scattering be the same in all the directions
 # The greater the value of beta, the smaller the Mie scattering point (responsable for the halo around the sun)
 # If there is more pollution, we get a larger halo and the colors of the sunset become desaturated (more hazy)
 # Default is 21e-6
@@ -235,12 +235,12 @@ Hm:cython.int = 1200
 
 # The direction will change for each pixel
 @cython.cfunc
-def computeIncidentLight(direction:Vec3) -> tuple[float,float,float]:
+def computeIncidentLight(direction:Vec3,betaM,g,observerEarthRadius) -> tuple[float,float,float]:
     tmin:cython.float=0
     tmax:cython.float=kInfinity
 
     # We can change the origin position if we want, but for now it is 1 meter above the surface
-    orig:Vec3 = Vec3(0, earthRadius + 1, 0)
+    orig:Vec3 = Vec3(0, observerEarthRadius + 1, 0)
     t0:cython.float
     t1:cython.float
     t0, t1 = raySphereIntersect(orig, direction, atmosphereRadius)
@@ -262,13 +262,13 @@ def computeIncidentLight(direction:Vec3) -> tuple[float,float,float]:
     mu:cython.float = direction.dot(sunDir) # This is the cosine of the angle between the direction vector (V) and the sun Direction
 
     phaseR = (3 * (1 + (mu * mu))) / (16 * math.pi)
-    g = 0.76
+    #g = 0.76
     phaseM = 3 / (8 * math.pi) * ((1 - g * g) * (1 + mu * mu)) / ((2 + g * g) * ((1 + g * g - 2 * g * mu) ** 1.5))
 
     i:cython.int
     for i in range(numSamples):
         samplePosition = orig + direction * (tCurrent + segmentLength * 0.5)
-        height = samplePosition.length() - earthRadius
+        height = samplePosition.length() - observerEarthRadius
         hr = math.exp(-height / Hr) * segmentLength
         hm = math.exp(-height / Hm) * segmentLength
         opticalDepthR += hr
@@ -288,7 +288,7 @@ def computeIncidentLight(direction:Vec3) -> tuple[float,float,float]:
         j:cython.int
         for j in range(numSamplesLight):
             samplePositionLight = samplePosition + (sunDir * (tCurrentLight + segmentLengthLight * 0.5))
-            heightLight = samplePositionLight.length() - earthRadius
+            heightLight = samplePositionLight.length() - observerEarthRadius
             if heightLight < 0:
                 break
             opticalDepthLightR += (math.exp(-heightLight / Hr) * segmentLengthLight)
@@ -389,8 +389,9 @@ def renderSkydome(filename):
 
 
 
-def renderFromCamera(filename):
+def renderFromCamera(filename,betaM,g,altitude):
 
+    observerEarthRadius = earthRadius + altitude
     width:cython.int
     height:cython.int
     width, height = 100, 100
@@ -420,7 +421,7 @@ def renderFromCamera(filename):
 
             #This changes for each pixel, it is the direction we are looking in
             direction = Vec3(rayx, rayy, -1).normalize()
-            color = computeIncidentLight(direction)
+            color = computeIncidentLight(direction,betaM,g,observerEarthRadius)
             #image[y, x] = np.array(color)
             image[y][x] = np.clip(color, 0, 1)