diff options
Diffstat (limited to 'src')
-rwxr-xr-x | src/gen.py | 34 |
1 files changed, 17 insertions, 17 deletions
diff --git a/src/gen.py b/src/gen.py index 829c30d..ca7616b 100755 --- a/src/gen.py +++ b/src/gen.py @@ -5,6 +5,7 @@ import numpy as np import math import os import socket +import time host = socket.gethostname() # variables @@ -12,28 +13,18 @@ sigma = 200 f_0 = 0.1 R_s = 1e4 -# M.. -Mxx = 0 -Mxy = 8e-6 -Myy = 0 - # constants pi = math.pi e = math.e G = 4.302e-3 # rho function -def rho(x, y, z): - r = math.sqrt(x**2 + y**2 + z**2) +def rho(r): a = (1) / (math.sqrt( 2 * pi ) * sigma ) b = math.exp( - (phi(r) / sigma ** 2 ) ) c = a * b return c -def rho_new(x, y, z): - a = (1 - ((1) / (2 * (sigma ** 2))) * ( Mxx * x**2 + 2 * Mxy * x * y + Myy * y**2 ) ) - return rho(x, y, z) * a - # phi function def phi(x): if x == 0: @@ -62,24 +53,33 @@ def gen_stars(stars): range_max = int(length) # define the rho range - rand_min = rho_new(0, 0, 0) - rand_max = rho_new(length, 0, 0) + rand_min = rho(0) + rand_max = rho(math.sqrt(length**2 + length**2)) # create random stars for r in range(0, stars): x = np.random.uniform(range_min, range_max, size=1) y = np.random.uniform(range_min, range_max, size=1) - z = np.random.uniform(range_min, range_max, size=1) rand_val = np.random.uniform(rand_min, rand_max, size=1) + rho_xy = rho(math.sqrt(x**2 + y**2)) + + print("{:<20}{:<20}{:<20}{:<20}".format(str(x), str(y), str(rho_xy), str(rand_val))) # if the random value is smaller than the rho value, generate a star - if rand_val < rho(x, y, z): + if rand_val < rho_xy: # open a file to write to with open(path, "a") as data: # write the data to the file - data.write(str(x).strip("[]") + "," + str(y).strip("[]") + "," + str(z).strip("[]") + "\n") + data.write(str(x).strip("[]") + "," + str(y).strip("[]") + "\n") + print(str(x) + ", " + str(y)) + + print("range_min: " + str(range_min)) + print("range_max: " + str(range_max)) + + print("rand_min: " + str(rand_min)) + print("rand_max: " + str(rand_max)) # generate n stars -gen_stars(5e7) +gen_stars(1e5) |