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fix bugs, first working version

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This commit is contained in:
Yingjie Wang 2023-10-30 15:09:10 -04:00
parent 10c03e4651
commit 10e9d6775e
6 changed files with 37059 additions and 394 deletions
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__pycache__/raytrace_2D.cpython-311.pyc
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points.csv
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rainbow.nb Normal file
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15
rainbow.py
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@ -12,9 +12,10 @@ center = [0,0]
r = 1 r = 1
n = 1.3 n = 1.3
disk = Disk(center, r, n) disk = Disk(center, r, n)
dx = 0.01 dx = 0.005
N = int(2*r /dx - 1) N = int(2*r /dx - 1)
min_intensity = 0.001 min_intensity = 0.001
max_ray = 10000
stack = [] stack = []
result = [] result = []
@ -46,9 +47,11 @@ def reflection_and_refraction(ray:Ray, intersection_point, normal, n):
ray2 = Ray(intersection_point, k2n*normal+k2p, ray.intensity*(1-R)) ray2 = Ray(intersection_point, k2n*normal+k2p, ray.intensity*(1-R))
return ray1,ray2 return ray1,ray2
def trace(disk:Disk, stack:list): def trace(disk:Disk, stack:list, max_ray:int):
while stack: ray_count = 0
while stack and ray_count < max_ray:
ray = stack.pop() ray = stack.pop()
ray_count += 1
if ray is None: if ray is None:
continue continue
if isinstance(ray, Ray): if isinstance(ray, Ray):
@ -65,9 +68,9 @@ def trace(disk:Disk, stack:list):
if direction[1] > 0: if direction[1] > 0:
result.append([np.arccos(direction[1]), ray.intensity*direction[1]]) result.append([np.arccos(direction[1]), ray.intensity*direction[1]])
# init() init()
stack.append(Ray([0.8, 2*r], [0,-1], 1)) # stack.append(Ray([0.8, 2*r], [0,-1], 1))
trace(disk, stack) trace(disk, stack, max_ray)
with open("result.csv", 'w', newline='') as f: with open("result.csv", 'w', newline='') as f:
writer = csv.writer(f) writer = csv.writer(f)

10
raytrace_2D.py
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@ -48,7 +48,15 @@ class Disk(Shapes):
if discriminant < 0: if discriminant < 0:
return None, None # 没有交点 return None, None # 没有交点
else: else:
if np.dot(oc, oc) <= self.radius * self.radius + 1e-10: dis2 = np.dot(oc,oc)
epsilon = 1e-12
if dis2 > 1 - epsilon and dis2 < 1 + epsilon:
normal = self.get_normal(ray.origin)
if np.dot(normal, ray.direction) < 0:
t = (-b + np.sqrt(discriminant)) / (2.0 * a)
else:
return None, None
elif dis2 <= 1 - epsilon:
t = (-b + np.sqrt(discriminant)) / (2.0 * a) t = (-b + np.sqrt(discriminant)) / (2.0 * a)
else: else:
t = (-b - np.sqrt(discriminant)) / (2.0 * a) t = (-b - np.sqrt(discriminant)) / (2.0 * a)

783
result.csv
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