CDN-368: The Two-Body Contrast Field

CDN-368 turns a geometric intuition about two particles moving through textured space into a locked stochastic two-body simulation. The model separates common-mode environmental flow, which cancels from the pair’s relative coordinate, from differential tidal texture, which competes with coherent pair attraction. It defines the contrast parameter C0=a_pair(r0)/σ_delta_env(r0) and shows a capture/coherence threshold near C50=0.657, with low-contrast trials mostly disrupted and high-contrast trials coherently captured. The release includes simulation code, contrast sweeps, sample trajectories, common-mode cancellation tests, figures, prediction hashes, and validation notes.

Authors

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-06-26
DOI
https://doi.org/10.5281/zenodo.20931158
Primary Topic
Block Copolymer Self-Assembly
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

CDN-368: The Two-Body Contrast Field

Nicky Joseph Hubertus Catharina Hacquier
Zenodo (CERN European Organization for Nuclear Research)
Block Copolymer Self-Assembly
article

CDN-368: The Two-Body Contrast Field

Nicky Joseph Hubertus Catharina Hacquier
article en

Abstract

CDN-368 turns a geometric intuition about two particles moving through textured space into a locked stochastic two-body simulation. The model separates common-mode environmental flow, which cancels from the pair’s relative coordinate, from differential tidal texture, which competes with coherent pair attraction. It defines the contrast parameter C0=a_pair(r0)/σ_delta_env(r0) and shows a capture/coherence threshold near C50=0.657, with low-contrast trials mostly disrupted and high-contrast trials coherently captured. The release includes simulation code, contrast sweeps, sample trajectories, common-mode cancellation tests, figures, prediction hashes, and validation notes.

Zenodo (CERN European Organization for Nuclear Research)
Dynamique du noyau (FR)
Life below water
Openalex Percentile: Top 15%
Block Copolymer Self-Assembly
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.