cleaned up

1 files changed, 0 insertions, 86 deletions

diff --git a/src/lookup.py b/src/lookup.py
deleted file mode 100755
index 52e1966..0000000
--- a/src/lookup.py
+++ /dev/null
@@ -1,86 +0,0 @@
-#!/usr/bin/env python
-
-# Import some libraries
-import math
-import numpy as np
-import matplotlib.pyplot as plt
-import time
-import os
-import sys
-
-# Defining some variables
-sigma = 200
-f_0 = 0.1
-R_s = 1e4
-
-# Defining some constants
-pi = math.pi
-e = math.e
-G = 4.302e-3
-
-# rho function
-def rho(r):
-    a = (1) / (math.sqrt( 2 * pi ) * sigma )
-    b = math.exp( - (phi(r) / sigma ** 2 ) )
-    return a * b
-
-# phi function
-def phi(x):
-    if x == 0:
-        return -4 * pi * f_0 * G * R_s**2
-    else:
-        a = - ( 4 * pi * G * f_0 * R_s ** 3 ) / x
-        b = np.log(1. + (x / R_s) )
-        return a * b
-
-# Defining a list to store the rho-values for plotting
-list_rho = []
-
-# Define the path to where the data should be stored
-path = 'data/' + str(sys.argv[2]) + '.csv'
-
-# get the start time
-start = time.time()
-
-# define the number of stars using system arguments
-stars = int(float(sys.argv[1]))
-
-# open the file where the information should be written to
-with open(path, "a") as data:
-
-    # for every star
-    for i in range(0, stars):
-
-        # calculate the rho value
-        rho_i = rho(i/10)
-
-        # append the rho value to list_rho for plotting
-        # list_rho.append(rho_i)
-
-        # print the distance to the center of the universe and the rho value to
-        # the user
-        print(str(i) + ", " + str(rho_i))
-
-        # write the data into the file
-        data.write(str(i) + ", " + str(rho_i) + "\n")
-
-# get the end time
-end = time.time()
-
-# calculate the runtime
-runtime = end - start
-
-# print some information to the user
-print("\n Runtime: ", end="")
-print(str(runtime) + " seconds")
-
-print(" Stars: " + str(stars))
-
-print(" Rho-values per second: ", end="")
-print(str(stars / runtime))
-
-# plt.plot(list_rho)
-# plt.xscale('log')
-# plt.yscale('log')
-# plt.grid()
-# plt.show()