Point Charge Provenance Simulation and Technology

I enjoyed this very cool PBS Space Time video about simulations at various scales. As an eager hobbyist, I research a parsimonious model of nature based upon point charges. There is a pattern of evidence emerging — based upon reasoning, logic, and geometry — which is strongly consistent with the hypothesis that the point charge model is isomorphic to the standard model, meaning a direct mapping back and forth. The point charge model is extremely parsimonious : it is incredibly easy to understand and simple to reason with to solve problems. Point charges were once a darling of physics, but were set aside due to concerns with opposite point charges approaching each other infinitely closely. I made a wild guess that nature might implement a rule that no two point charges could get any closer than something around the Planck length at ~10-35. The implication is that point charges are immutable and can not be destroyed.

Imagine applying the knowledge of point charge provenance to the balancing equations of galaxy scale processes. What reaction or event is producing the gas? What is the net balance of energetic immutable point charges entering and exiting the galaxy, grouped by causing process, and ordered descending by point charge count? Is this gas the dominant inflow of electrinos and positrinos to the galaxy? (protons are 15:21, neutrons 18:18, electrons 9:3) What are the big outflows and where do photons (6:6) and neutrinos (3:3) rank on outflow? What about SMBH jets? What percentage of that energy and those point charges escape the galaxy and where does that process rank, periodic though it is? Does the point charge inflow to the supermassive black hole in the center of the galaxy ultimately match the outflow via the jets and any other escape processes?

Point charges are indestructible so we can imagine tracking and modeling each and every single point charge and trace the provenance or accumulated history of that point charge in every structure and reaction it ever participates in. I think it will be difficult to observe, even indirectly, except perhaps in very special small scale situations. However, in simulations, we really could track every single point charge.

I’ve thought about which medium to use for a while. For a long time I was thinking about Manim which was originally by Grant Sanderson of 3Blue1Brown. The API is not intuitive to me. The morpholib library is less complicated and that might be good for the initial simulations and educational videos. I’m thinking about red and blue spheres just following the evolution equation. The fast moving point charges will need a fine grained time step. Slow movers could be optimized with less frequent updates. I need to figure out and optimize the intersection operator between potential spheres and point charge paths. I want to have the ability for point charge “trails” so you can see some portion of the recent path with it dynamically fading with time. I want to have tracer potential emission spheres, recalculated periodically so we can see them expanding, and they need to fade with radius to illustrate the 1/r potential. I’ll start with 2D space, but longer term I imagine 3D space where the virtual camera can fly around and reorient and also zoom in and out by many orders of magnitude. Also, some cool labeling would be great to indicate distance and time scales, and to indicate position and velocities of point charges. Each point charge could have it’s own floating instrument panel with position, velocity, PE, KE, and net force. And provenance! We can label and track each and every point charge in a reaction! One could really go to town designing the simulation and visualization.

What could we practically simulate at the point charge level with the best available hardware and optimized simulation software? Industrial technology at the process level? A bacteria? A virus? What scales and problems would benefit from understanding the provenance of point charges? I am very interested in whether provenance of immutable point charges is helpful for advancing simulations of nature.

I’ll hazard a guess that the simple ideas in the paragraphs above foreshadow several Ph.D. theses as well as start-ups addressing the point charge simulation market. If you are a student of point charges, like I am, and see what I see, you will realize that market is quite sizable. I can easily imagine point charge simulation technology startups achieving valuations in the hundreds of millions, if not billions, of $USD. Simulation is the tip of the iceberg. Imagine startups that vend an integrated collection of point charge related technologies. Imagine the Google, Apple, Microsoft, or Tesla of the point charge era. Now we are talking trillions. Zoom.

I can look at reactions in PDG and tell if they don’t balance in point charges. By applying provenance, it is extremely clear that many reactions documented in the PDG are not properly accounting for inputs and outputs of very low apparent energy structures. The reacting particle is typically an assembly from the spactime aether, which may be a Higgs that transforms into a W or Z boson in an intermediate stage of the reaction.

J Mark Morris : Boston : Massachusetts