Bringing the Standard Model Closer to Its Origins: A New Step for VERSF
Modern physics describes the universe using the Standard Model, one of the most successful scientific theories ever developed. It explains how fundamental particles behave and how three of nature’s forces operate: electromagnetism, the strong nuclear force and the weak nuclear force. But there is a fundamental question it does not fully answer: why do these forces have the particular strengths that we observe? Their strengths are measured experimentally and entered into the theory rather than derived entirely from a deeper underlying explanation.
VERSF is exploring the possibility that the properties of particles and forces arise from something more fundamental: the microscopic processes through which physical changes occur, information is established and those changes become part of reality’s history. An earlier paper, CLSN-1, developed a mathematical framework connecting these processes to the three forces. Remarkably, the resulting conditional pattern of their relative strengths showed an interesting resemblance to the pattern found in established physics. However, the overall strength still differed by a substantial common factor.
This new paper, CLSN-2, takes an important step towards understanding that difference. Rather than attempting to adjust the three forces individually, it examines whether a single underlying conversion could connect VERSF’s microscopic description to the familiar equations of physics. Think of measuring three distances with a ruler marked in unfamiliar units. The relative distances might be correct, but all three measurements would need the same conversion factor before they could be expressed in metres. The paper investigates where an analogous conversion might arise in the physics, distinguishing simple mathematical counting conventions from effects that would require a genuine physical explanation.
The research also uncovers a clearer structure within VERSF’s existing calculations. It establishes that several apparently separate corrections to the force-related response actually arise from one underlying mathematical quantity, combined with the way different particle classes participate in the process. It also identifies a nested pattern in the charge assignments: every class carrying strong or weak charge also carries hypercharge, while the class without hypercharge carries neither of the other charges. This is consistent with the structure built into the Standard Model representation framework used by VERSF, although it is not yet an independent derivation of that particle content.
Another important advance is a clearer understanding of how these microscopic effects should be interpreted. The same mathematical system can give different answers depending on whether particular components are held fixed or allowed to respond together. The paper works out these alternatives exactly and identifies what must be established before any of them can be interpreted as the physical strength of a force. It also shows why an apparently excellent numerical match with experimental measurements is not enough: different approximations can change that match, so the underlying physics must determine the answer independently.
The significance for the VERSF programme is that the remaining challenge is now more sharply defined. The paper rules out several possible normalisation errors, unifies previously separate calculations and identifies specific physical questions that must be resolved. In particular, it directs attention towards how microscopic time, spatial changes and the formation of persistent physical records determine the common scale of the forces.
CLSN-2 does not yet derive the three measured force strengths from first principles. But it advances the programme by replacing several ambiguities with exact mathematical relationships and clearly defined tests. The ultimate objective remains ambitious: to show that the particles, forces and numerical constants of the Standard Model are not arbitrary ingredients of nature, but consequences of a deeper physical structure. This paper helps identify what that deeper structure must explain next.