Welcome to The Omnisyndetic Framework

A relational ontology and a geometric system for fundamental physics.

Relation first Ockham’s razor Geometry before simulation Parameter economy

Welcome to the Omnisyndetic Framework! The work presented here is best read as a relational ontology exploration of fundamental physics - an approach to see if matter can be derived from relation and geometry itself, rather than from assumed base constituency or space. Rather than chase a smallest block, we ask a different question, what if the fundamental act is building instead? Or more directly: “the drawing of a difference?” We call this contrast, and how this contrast is resolved by structural coherence.

Think of it as Spencer-Brown’s Laws of Form meets symmetry theory, with a coherence theory of truth and a little of Simondon and Whitehead, with deep rooting in a structural reading of the Tao de ching. It’s written to be direct and checkable - a hub for learning, exploring, and trying the calculators yourself - all are welcome.

This framework is developed and published independently, with all derivations, proofs, and outputs fully open access and auditable through the Open Science Framework. While not peer reviewed in the traditional journal sense, it maintains full structural rigour and invites public audit and critique. Every step, from logic to geometry, is open to inspection and verification.

λ₀
λ = fm • λ′ = fm

Coherence & Curvature

UPPER (EXPRESSIVE)
ε
κ
C
|rdev|
φ

NARP & Structure

NARP
λ₀
κmin
δκ
ready

Dual-Triad Morph

triangle ⇄ hexagon

Mass

m*
MeV
Eval
MeV
Eecho
MeV

Arc Threshold Map

current κ: • nearest ⌒: • Δκ to centre:

How to use this

Pick a baryon, set the inputs, press Apply. The table talks to the calculator above, everything recalculates locally in your browser… no background calls. Every symbol is live, you can audit values line by line as you scroll, clean and visible.

Filter jumps to a family, Search finds a name or charge, Precision sets the decimals, Recompute syncs the catalogue with your current constants.

What you will see

Roots and ground states, then the spin 3/2 resonance lifts, all from one geometry. You get the λ-pair, κ, coherence C = e−κ, energies, and the arc class. Built to be checked, compared, taught.

The sequence stays the same - Inputs, Radial Deviation, Charge Law, Coherence, Energies, Classification - values update as you change an input.

Tip. Pick a baryon and press Apply in the Upper λ column to load it into the calculator above. Use the Filter to browse light, decuplet, charmed, bottom, etc. Then scroll below the table to see the full derivation for the applied state.
Name Group PDG Z m* (MeV) Lower λ Upper λ Apply Vec Status



How to use this

Select a baryon in the catalogue, set inputs, press Apply.
Everything recalculates locally in your browser. No background calls.
Every symbol and equation is live, audit values line by line.
The full sequence sits below as collapsible steps. Click to open.

Distinction Algebra Glyphs

👁 Nexus
Echo
Triad
Individuation
Arc class
C/δ Coherence–Margin
Tap a step…
1Inputs & Reference Constants

We list the geometric and physical constants for both radii. This sets the baseline.

SymbolMeaningValueUnit
λLLower coherence radiusfm
λUUpper coherence radiusfm
λ0Euclidean crossoverfm
ħcPhysical constantMeV·fm
NARPArc return pressure27.61879MeV·fm
\[ M_0=\dfrac{\pi(\hbar c)^2}{\lambda_0} \]
Baseline scalar \(M_0=\) MeV²·fm
2Radial Deviation \(R_{\mathrm{dev}}\)

Deviation shows how far each radius sits from λ₀.

\[ R_{\mathrm{dev}}=\dfrac{\lambda-\lambda_0}{\lambda_0} \]
CaseValue
Lower
Upper
3Charge Law to ε

The contrast law links ε, κ, and the charge integer n.

\[ \begin{aligned} \kappa &= \epsilon^2 + R_{\mathrm{dev}}^2 \\[4pt] h(\epsilon,\kappa) &= \epsilon \Big(\dfrac{\kappa}{\kappa_{\min}}\Big)e^{1-\kappa} = |n|,\qquad \kappa_{\min}=\tfrac{1}{36} \end{aligned} \]
Caseε value
Lower
Upper
4Coherence, Desire, Projection & Divergence

With κ set, compute \(C=e^{-\kappa}\), δ=1−C, ‖D‖=√δ, projection α, and Δdiv.

\[ C=e^{-\kappa} \]
Cδ‖D‖
Lower
Upper
\[ \alpha_0=\dfrac{\epsilon^2+\|D\|^2} {\epsilon^2+\|D\|^2+(\lambda/\lambda_{\max})^2}, \qquad \alpha=\alpha_0\frac{\lambda_{\max}}{\hbar c} \]
α₀α [MeV⁻¹]
Lower
Upper
\[ \Delta_{\mathrm{div}} =\frac{\lambda}{\lambda_0}+\frac{\lambda_0}{\lambda}-2 =\frac{(\lambda-\lambda_0)^2}{\lambda\,\lambda_0} \]
Δdiv
Lower
Upper
5Closure Scalar \(M_0\)

\(M_0\) as the second-order closure measure, fixed for this system.

\[ M_0=\dfrac{\pi(\hbar c)^2}{\lambda_0} \]
Value = MeV²·fm
6Energies

Validation and echo energies describe the two halves of return. Their sum defines the apparent mass on each side.

\[ \begin{aligned} E_{\mathrm{val}} &= \dfrac{6N_{\mathrm{ARP}}}{\lambda}\,C \\[4pt] E_{\mathrm{echo}} &= \Delta_{\mathrm{div}}\;\alpha\;(1+\|D\|)\;\dfrac{M_0}{\lambda_{\max}} \end{aligned} \]
CaseEval [MeV]Eecho [MeV]m [MeV]
Lower
Upper
7Arc Midbands and Landings

Each curvature arc ⌒n is analytic in NARP and gives discrete coherence bands.

nκ(arc n)Form
10.0362072321 / NARP
20.054709899√(2π − 2π/(π/2)) / NARP
30.064175648√(2π − 2π/2) / NARP
40.074103656√(2π − 2π/3) / NARP
50.081176488√(2π − 2π/5) / NARP
60.090758072√(2π) / NARP
70.106147354√(2π + 2π/e) / NARP
8Classification

The upper arc index U sets the triad classification, channel, and sector.

SU ChannelFlavour SectorSpin RuleResult
SU(2)/SU(3) spin-½: S1/2 = 3 − U
spin-3/2: S3/2 = 4 − U

Scientific claim, the Omnisyndetic approach

parsimony parameter economy reasoning before fit

We begin from relation. One measured input on the proton’s expressed arc, the radius \( \lambda_U \). Place it near the muonic scale, run the live sequence, recover the proton mass… clean. The detailed discussion sits here:

Below are the commonly cited proton charge radii with their published uncertainties, followed by the structural radius used in this framework. The muonic value is the most precise. Electronic spectroscopy and low-\(Q^2\) scattering now agree with the smaller radius band.

Method rp (fm) Uncertainty Source
Muonic H Lamb shift 0.84087 ± 0.00039 Pohl 2010, Antognini 2013, PDG 2024
H spectroscopy 0.8335 ± 0.0095 Beyer 2017
H Lamb shift 0.833 ± 0.010 Bezginov 2019
e–p scattering (PRad) 0.831 ± 0.014 stat, ± 0.012 sys Xiong 2019, PDG 2024
Framework radius on upper arc 0.842228852595 placed this page

Our placed \( \lambda_U \) sits slightly above the muonic value by 0.00129 fm, about 0.2%. The muon samples nearer the proton and will co-distinguish fine structure… even if small, it shows. Uncertainties above are the stated experimental errors of each method.

Method and scope

Geometry first. Constants are relational. Data verify rather than calibrate. NARP is held fixed across the catalogue. This page demonstrates the complete live derivation with one structural input. No curve fitting, no Monte Carlo. Parsimony in action.

Why it matters

If a small geometry can recover established structure at refresh speed, parameter economy holds. The framework extends to ladders, decays, and spin-1/2 ground states with the same rules… predictive from first principles, structurally, without assuming extra measurement relations.

A simple way to say it

For anything to be, it must differ from what is not. Being is not non-being. What can be confirmed is what you can tell apart. You cannot distinguish yourself from yourself. Distinction needs relation. That is the mantra here.


Two Radi‽

You are probably asking the question: two radii. Think Plato’s world of forms. They are one convergence of identity about a symmetry centre. At the Euclidean crossover \( \lambda_0 = 1/\sqrt2 \) symmetry holds and the figure goes featureless; step either side and the span splits into a compressed \( \lambda_{\mathrm L} \) and an expressed \( \lambda_{\mathrm U} \). Drag the slider - watch the figure vanish at the centre, then reappear - the two mass points move in tandem as the solution closes across a quantised arc. One structure read on two sides of a tiny centre, returning a single mass and a single charge, and setting the order parameter for classification and prediction.

The centre is the Euclidean crossover. At full symmetry \( \kappa = 0 \) and \( C = 1 \). All orientations are equivalent; selection waits for a break about the centre. Step off and the span splits: \( \lambda_{\mathrm L} \) on one side, \( \lambda_{\mathrm U} \) on the other. Closure across an arc \( \smile n \) returns one resolution.

In symmetry terms the pair \( (\lambda_{\mathrm L}, \lambda_{\mathrm U}) \) is the order parameter. The sign fixes which side carries compression; the magnitude sets how far the break runs. Residual symmetry classes appear as discrete arcs, each a stable curvature threshold.

Working variables follow Volume I. Set the radial offset \( \Delta = (\lambda-\lambda_0)/\lambda_0 \) and the angular deviation \( \epsilon \). Then \[ \kappa = \epsilon^2 + \Delta^2,\qquad C = e^{-\kappa}. \] Each arc holds a coherence window set by \( C \). Inside the window the configuration resolves; the class fixes; the sequence proceeds.

On the calculator: hold at the centre and the readout fades; nudge the slider and the twin radii separate, the arc label appears, both branch masses meet as closure forms and the returned charge locks. That convergence is the symmetry selection that drives classification and prediction. Energy reads on one global scale (NARP) as \( E_{\mathrm{val}} + E_{\mathrm{echo}} = mc^2 \).

What you are seeing

Each configuration carries curvature \( \kappa \). Small \( \kappa \) reads calm and coherent; larger \( \kappa \) works harder. Coherence reads \( C=e^{-\kappa} \) on 0 to 1. The slider sets \( \lambda \). The crossover \( \lambda_0 \) mirrors positions that land the same mass. The map shows arcs that mark curvature thresholds. NARP sets the global energy scale and the energy splits into \( E_{\mathrm{val}} \) and \( E_{\mathrm{echo}} \). Together they give \( m^* \)

Validation and echo, two modes of one closure

First observation samples the asymmetry directly and returns \(E_{\mathrm{val}}\). Second observation reads the structural echo of that asymmetry and returns \(E_{\mathrm{echo}}\). The closed circuit is \(E_{\mathrm{val}} = 6(\mathrm{NARP}/\lambda)e^{-\kappa}\) and \(E_{\mathrm{echo}}=\Delta_{\mathrm{div}}\alpha(1+\lVert D\rVert)M_0\). Their sum closes the form into \(mc^2\). At \( \lambda_0 \) the echo term vanishes… step away and closure energy ramps on smoothly.

Individuation, the ontological Pauli

Individuation is contrast resolving into form. Distinctions settle, closure holds, one returned identity now carries the set. Inside one closure uniqueness holds, \(i\ne j \Rightarrow \chi_i\ne\chi_j\) for \(\chi=(U,L,\epsilon,\kappa)\). The relation moves as one… validation feeds echo, echo fixes mass, the individuated figure persists.


Coherence, what we mean

We use coherence in the older epistemic sense from the coherence theory of truth. It is not phase relations in field theory and not prose fluency. It asks how well a configuration fits within a system of relations. Has the structure resolved; has the relation returned. What stabilises under contrast individuates; what does not resolve does not individuate.

Coherence measures contrast alignment: \( C=e^{-\kappa} \). In the working model \( \kappa=\epsilon^2 \). At the Euclidean crossover \( C=1 \). Every identity is equal and none can be distinguished, so individuation halts. Step off the centre and individuation begins. Low coherence needs more echo and curvature; high coherence needs less.

No field theory background required. Curiosity is enough.

Subscribe to our mailing list