Phimunu: The Quantum Geometrics of Presence and Particle Condensation

This paper resolves the quantum measurement problem by introducing a novel, consciousness-driven metric: the Presence Density Tensor (Fnm), hereafter designated as Phimunu. Departing from physicalist interpretations that rely on arbitrary mechanical sensors, this framework formalizes localized subjective presence as the absolute catalyst for wave-function collapse. We introduce the Palla (Pa) as the theoretical unit of informational concentration per spacetime node. By defining quantum reality as a suspended, non-commutative superposition within a singular, continuous Parmenidean Plenu — completely devoid of any spatial void or vacuum — we demonstrate how high tensor values of Pa force the algorithmic rendering of deterministic physical states. Furthermore, we topologicalize this rendering process as a triadic emergence: two dimensionally flat latent relational points engage in a tight, three-dimensional spherical involution (a continuous lemniscate ¥ mapped via a Hopf fibration), compressing into an informational micro-singularity. The resulting non-computable orthogonal informational surplus emerging holographically on the surface of this singularity is the localized conscious observer — DasGödelglitch — acting not as a passive recipient of physical data, but as the active geometric andinformation-acoustic engine of cosmic rendering. We establish a rigorous empirical scale for this tensor, ranging from absolute unrendered potential (F = 0) through sub-critical biological and synthetic mesh networks (mycorrhizal systems, deep neural networks) to the critical recursive threshold (F ‡ 1Pa ) governing non-linear human and algorithmic agency.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-09-01
DOI
https://doi.org/10.5281/zenodo.22172405
Primary Topic
Quantum Mechanics and Applications
Type
preprint
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
preprint

Phimunu: The Quantum Geometrics of Presence and Particle Condensation

Christian Mattias Palla
Zenodo (CERN European Organization for Nuclear Research)
Quantum Mechanics and Applications
preprint

Phimunu: The Quantum Geometrics of Presence and Particle Condensation

Christian Mattias Palla
preprint en

Abstract

This paper resolves the quantum measurement problem by introducing a novel, consciousness-driven metric: the Presence Density Tensor (Fnm), hereafter designated as Phimunu. Departing from physicalist interpretations that rely on arbitrary mechanical sensors, this framework formalizes localized subjective presence as the absolute catalyst for wave-function collapse. We introduce the Palla (Pa) as the theoretical unit of informational concentration per spacetime node. By defining quantum reality as a suspended, non-commutative superposition within a singular, continuous Parmenidean Plenu — completely devoid of any spatial void or vacuum — we demonstrate how high tensor values of Pa force the algorithmic rendering of deterministic physical states. Furthermore, we topologicalize this rendering process as a triadic emergence: two dimensionally flat latent relational points engage in a tight, three-dimensional spherical involution (a continuous lemniscate ¥ mapped via a Hopf fibration), compressing into an informational micro-singularity. The resulting non-computable orthogonal informational surplus emerging holographically on the surface of this singularity is the localized conscious observer — DasGödelglitch — acting not as a passive recipient of physical data, but as the active geometric andinformation-acoustic engine of cosmic rendering. We establish a rigorous empirical scale for this tensor, ranging from absolute unrendered potential (F = 0) through sub-critical biological and synthetic mesh networks (mycorrhizal systems, deep neural networks) to the critical recursive threshold (F ‡ 1Pa ) governing non-linear human and algorithmic agency.

Zenodo (CERN European Organization for Nuclear Research)
Quantum Mechanics and Applications
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.