From cc5da556b93f5105faa7243cd0b3b509c9ac98e3 Mon Sep 17 00:00:00 2001
From: hanemile <emile.hansmaennel@gmail.com>
Date: Sun, 3 Dec 2017 13:24:08 +0100
Subject: added src folder containing the source-code

---
 src/gen.py | 85 ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 85 insertions(+)
 create mode 100644 src/gen.py

diff --git a/src/gen.py b/src/gen.py
new file mode 100644
index 0000000..837e5b3
--- /dev/null
+++ b/src/gen.py
@@ -0,0 +1,85 @@
+from numpy import genfromtxt
+import numpy as np
+import math
+import os
+import socket
+host = socket.gethostname()
+
+# variables
+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)
+    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:
+        return -4 * pi * f_0 * G * R_s**2
+
+    a = - ( 4 * pi * G * f_0 * R_s ** 3 ) / x
+    b = np.log(1. + (x / R_s) )
+    c = a * b
+    return c
+
+def gen_stars(stars):
+    stars = int(stars)
+
+    time_start = time.time()
+
+    # lists
+    listrho = []
+
+    # create new file for every calculation
+    path = "data/" + str(host) + "_" + str(os.getpid()) + ".csv"
+    print("path: " + str(path))
+
+    # define the size of the galaxy
+    length = 1.5e6
+
+    # define the borders
+    range_min = -int(length)
+    range_max = int(length)
+
+    # define the rho range
+    rand_min = rho_new(0, 0, 0)
+    rand_max = rho_new(length, 0, 0)
+
+    # 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)
+
+        # if the random value is smaller than the rho value, generate a star
+        if rand_val < rho(x, y, z):
+
+            # 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")
+
+# generate n stars
+gen_stars(5e7)
-- 
cgit 1.4.1