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1

Here is a working code and the result shown below, just analyze it. Note that the normalization for the probability density function $p(x)$ used here is $\int p(x) dx$=1. import numpy as np import matplotlib.pyplot as plt def show_histogram(vals): n, bins, patches = plt.hist(x=vals, bins='auto', density=True, color='#0504aa', alpha=0.7, rwidth=0.85) ...


0

What exactly do you think the formula to_add=(rj-ri)*big_g*masses(i)*masses(j)/((abs(rj-ri))**3.0d0) does, especially the denominator? For the correct physics it should be the third power of the Euclidean distance.


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