I Think I Found Something Weird About Physical Constants

If anyone wants to collaborate or has questions or just wants to tell me off, my email is SylvanGaskin@gmail.com All are welcome. I'd tell myself off but ive done that already and it didn't help, i'm still doing this shit and cant seem to stop... maybe i need an intervention. XD

If you overlay 30 prime number frequency waves plus 30 more even frequency waves, you're going to have an enormous number of local peaks.

Look at a chart of sin(x) + sin(x/2) + sin(x/3) + sin(x/5) + sin(x/7) + sin(x/11) + sin(x/13) + sin(x/17) + sin(x/19) + sin(x/23) + sin(x/29) + sin(x/31) + sin(x/37) + sin(x/43), you can find a local peak close to practically any number; the chart is effectively entirely composed of peaks.

It's extremely unsurprising that you would find peaks near mathematically relevant numbers, since there are peaks near any number whatsoever. You could pick ten random numbers out of a hat and fine tune those to 99.999%+ accuracy as well using the same scaling procedure.

I modified hamilton_perfect_finder.py to have new values:

# Target constants CONSTANTS = { 'fine_structure': 131.11, 'phi': 1.9, 'pi': 3.6, 'e': 2.4, 'sqrt_2': 1.1, 'sqrt_3': 1.2, 'sqrt_5': 2.5,

Best results: L = 3017.391610 s = 0.042000 Average: 94.848564% Minimum: 82.509479%

  Constants:
    sqrt_2                   : 100.00000000%
    sqrt_3                   : 99.99236291%
    phi                      : 99.93928922%
    pi                       : 99.89806320%
    e                        : 99.88623436%
    sqrt_5                   : 99.85340314%

And this is before any fine-tuning of the parameter set!