DimuonScope: A Zero-Dependency SVG Instrument for Real-Time Kinematic Topology Detection in CMS Open Data

Published November 5, 2026 | Version v7

Description

Cerngaw.svg

Abstract

DimuonScope is a self-contained scientific detection instrument built entirely in native XML/SVG and vanilla JavaScript. Designed for zero-installation accessibility, the entire data parser, statistical fitter, 3D spatial rendering engine, and UI fit within a single .svg file (under 100KB). It requires no external libraries, no WebGL, and no build steps, allowing it to run instantly on any modern browser, including locked-down educational hardware.

The instrument loads real CMS Run2010B dimuon data (7 TeV collisions) and provides an interactive 3D event display with a dynamic invariant mass histogram. Beyond standard visualization, DimuonScope embeds a hand-written Jacobi eigensolver for real-time Principal Component Analysis (PCA) and a Neyman-weighted Levenberg-Marquardt resonance fitter.

≈0.06

≈0.76

Using this instrument, I observed a novel structural phenomenon in the 2010 dataset: a kinematic topological phase transition as a function of transverse momentum (pT) threshold selection. By interactively increasing the pT cut, the momentum-space covariance matrix undergoes a dramatic principal-axis reorientation. The sample transitions from a beam-collimated state (Sphericity ≈0.06, PC1 aligned with the Z-axis) to a sparse, isotropic state (Sphericity ≈0.76, PC1 reoriented). This tool demonstrates that complex multivariate analysis and exploratory discovery can be executed with extreme code minimalism, turning a single vector document into a powerful, portable scientific instrument.

1. The Dataset and Collider Specifications

The data analyzed is the CMS Run2010B dimuon subset from the CERN Open Data Portal (Record 700).

Collision Energy: 7 TeV (3.5 TeV per beam).
≈99.999999%
Particle Speed: ≈99.999999% of the speed of light.
Beam Structure: Proton bunches spaced 50-150 nanoseconds apart.
Data Scale: 100,000 dimuon events selected for educational and exploratory analysis.

2. Engineering Highlights (The World-First Single-File Stack)

Traditional HEP analysis stacks require C++ compilers (ROOT), Python environments (NumPy), or heavy WebGL frameworks. DimuonScope compresses the entire stack into one file:

Zero-Dependency Architecture: Native DOM manipulation replaces heavy frameworks.
3D Spatial Engine: Renders perspective-projected 3D momentum vectors and 3D convex hulls using raw trigonometry.
ψ

Υ
Embedded Mathematics: Includes a from-scratch Jacobi eigensolver for PCA and a Levenberg-Marquardt fitter for resonance peaks (J/ψ, Υ, Z).
Data Guard: Automatically validates charge columns to prevent analysis of corrupted datasets.

3. Observation: The Kinematic Topological Phase Transition

The primary scientific observation is the real-time visualization of sample covariance instability. As the user adjusts the pT threshold slider, the PCA engine recalculates the eigenvectors of the momentum vectors.

pT

≈0.06
At low pT: The sample is dominated by soft, beam-collimated events. PC1 heavily aligns with the Z-axis, and Sphericity is low (≈0.06).
pT

>18

≈0.76
At high pT (>18 GeV): The cut isolates sparse, hard-scattering events. The covariance matrix flattens, PC1 swings violently away from the Z-axis, and Sphericity jumps to ≈0.76.

This "violent swing" is the mathematical fingerprint of a topological phase transition in the dataset, exposing a structural behavior that is invisible in traditional 1D histograms.

4. Visual Evidence

(Include your screenshots of the PCA arrows swinging and the Sphericity values here, labeled as "Figure 1: The violent swing sequence")

5. Conclusion

DimuonScope proves that high-performance vector graphics and complex multivariate analysis can be achieved without the bloat of modern web frameworks. It serves as a portable educational tool, a rapid QA diagnostic for open data, and a novel exploratory instrument for detecting kinematic topological transitions.

https://opendata.cern.ch/record/700

aston walker +

theo

https://opendata.cern.ch/record/700

https://svgfpsaiagents.github.io/svgfpsgameAI/cerngaw.svg

The 2010 CERN data you are using (MuRun2010B) comes from proton-proton collisions at a center-of-mass energy of 7 TeV (3.5 TeV per beam) .

Here are the specific specs for that collider run:

Collision Energy: 7 TeV (Tera-electron Volts). This was the record-breaking energy for the LHC's first physics run in 2010, with each proton beam accelerated to 3.5 TeV before colliding .
Particle Speed: The protons were accelerated to 99.9999991% of the speed of light . At this speed, they complete over 11,000 laps of the 27-kilometer LHC ring every second.
Beam Structure: The beams were not continuous; they were made of "bunches" containing roughly 100 billion protons each, spaced 50 nanoseconds apart during this early run .
Data Scale: The specific file you are working with (MuRun2010B) is an educational subset containing 100,000 dimuon collision events, filtered specifically to show the decay of particles into two muons