Quark Attraction: Physics Simulator & Gluon Transfer

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Discussion Overview

The discussion revolves around the implementation of a physics simulator that aims to model fundamental particles, specifically focusing on the attraction between quarks and the role of gluons in this process. Participants explore the complexities of simulating quark interactions, the concept of color charge, and the implications of quark groupings in nucleons.

Discussion Character

  • Exploratory
  • Technical explanation
  • Debate/contested
  • Conceptual clarification

Main Points Raised

  • One participant seeks to understand how quarks are attracted, mentioning both electromagnetic forces and the strong nuclear force mediated by gluons, and questions how to mathematically calculate gluon transfer strength.
  • Another participant expresses skepticism about the feasibility of simulating quark-level interactions, emphasizing the computational power required and referencing lattice QCD as a complex area of study.
  • A participant clarifies that their interest lies not in the mathematical aspects but in understanding the color charge and how quarks combine to achieve color neutrality in nucleons.
  • One participant raises a point about the relevance of such simulations, questioning the necessary accuracy and suggesting that the computational requirements may be underestimated, while also mentioning the impact of quark structure on molecular-level phenomena.

Areas of Agreement / Disagreement

Participants express differing views on the feasibility and complexity of simulating quark interactions, with some acknowledging the challenges while others focus on specific aspects of color charge and quark combinations. The discussion remains unresolved regarding the practical implementation of such simulations.

Contextual Notes

Limitations include the complexity of quark interactions, the dependence on advanced computational methods, and the unresolved nature of how quark properties influence molecular behavior. Participants do not reach a consensus on these points.

cam875
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im writing a physics simulator and now I decided to see about implementing the basic matter not just to atoms but down to the fundamental particles, so to start I am trying to figure out how exactly quarks are attracted, like I know an up and down quark are attracted through electromagnetism and also the colour charge of strong nuclear force by transfering gluons but how do I mathematically calculate that gluon transfer strength and is the reason they group in 3's because of the RGB making them colour neutral or colour balanced.
 
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ZapperZ said:
I don't think you realize the complexity of what you are trying to do.
Just to make it clear, no existing computer on Earth can do that today. I order to simulate just a few molecules down to the quark level, one would either need to buy a computer thousands (millions ?) times more powerful than the most powerful computer, or invent new computing methods.

Funny, I spent the holiday reading about lattice QCD. I can today barely pretend to understand what they mean, not even to mention implementing everything by myself.
 
ahhh lol no no i don't mean the math just i wanted to write a sub program for fun just implementing the way the color works sorry i worded that bad, anyways I am lost to how the color charge works that's why i wanted help with it. Not the math, just want to understand how two up quarks and one down quark can have the three different colours to make it colour neutral to form a nucleon or am i not thinking about it right.
 
I suddenly realized that there is an interesting point, related to why it would be relevant to perform such a simulation, and what necessary accuracy one should expect. I know that the spin structure of the proton contributes at the ppm level to the hydrogen hyperfine splitting. But does anybody know of a quark consequence at the molecule level ? In any case, I strongly suspect that my "millions times more powerful" might be underestimated.

Proton structure corrections to electronic and muonic hydrogen hyperfine splitting
 

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