Skip to content
#diffusion models Open access

Annihilation (Quantum)Field Universe Model: From Particle Emergence to Cumulative RedshiftAbstract

Sep 2026 · Zenodo (CERN European Organization for Nuclear Research)
Cosmology and Gravitation Theories

Abstract

(Quantum) Annihilation Field Universe Model: From Particle Emergence to Cumulative Redshift Abstract This paper proposes an annihilation field universe model. The annihilation field is the core concept of this paper—a fundamental field in vacuum that forms localized excitations under the boundary conditions of quantum wells. The core assumption is that the positive excitation mode of the annihilation field exhibits intrinsic aggregation. From this single underlying assumption, the following conclusions are derived: (1) Steady-state soliton solution: ρ(r) = ρ₀/cosh²(r/L), corresponding to the bright soliton solution of a one-dimensional nonlinear equation. (2) Complex field equation: internal annihilation field excitations persist without external radiation; the real part corresponds to aggregation, the imaginary part to hidden phase. (3) Angular momentum quantization: naturally described by spherical harmonics Y_lm(θ,φ), with eigenvalues L² = l(l+1)ℏ². (4) Particle emergence: single quantum well excitations cannot form elementary particles; N excitation modes coherently superpose to form elementary particles, with mass, spin, and charge as collective effects. (5) Cosmic-scale annihilation field: the universe itself as a giant annihilation field excitation, with its positive part corresponding to the observable material world and its negative part to an invisible spacetime tension field. (6) Cosmic evolution as repetition on a formatted template: the universe is not expanding into new territory but oscillating within an already formatted cosmic template (F=1). Physical constants are universal; the universe is homogeneous on large scales. (7) Redshift as cumulative interaction: redshift arises from photons interacting with the negative-energy tension field while traversing the annihilation field, not from spatial expansion. z = η_−ρ₀⁻(L_trap/d_trap)·D. (8) Hubble constant: H₀ = η_−ρ₀⁻(L_trap/d_trap)·c ≈ 70 km/s/Mpc, consistent with observations. Effective redshift coefficient α_eff ≈ 7.5×10⁻²⁷ m⁻¹. (9) Redshift at 10¹⁴ light-year scales: z ~ 10⁴. (10) Unified formation scenarios: the universe may arise spontaneously, externally, via multiple nucleation points, or through inhomogeneous formatting converging to a uniform state. All four scenarios are unified within this framework, converging to a universe with uniform formatting. (11) Negative energy propagation properties: Negative energy quantum wells naturally diffuse outward at every point and have the potential to become information carriers. Uniform diffusion does not transmit information, but local disturbances can generate "tension waves" with strong penetration, extremely low energy, and may not attenuate. Four testable predictions are proposed: (a) no detectable spacetime expansion at short distances; (b) strict identity of same-type particles; (c) systematic anti-gravity patterns at galactic peripheries; (d) systematic deviations in the redshift-distance relation at high redshifts. Falsification conditions are explicitly listed. Explanation of the formation of the universe This model is applicable to four possible scenarios of cosmic formation, which are uniformly described within this framework: Scenario 1: Spontaneous generation. Cosmic level quantum wells are spontaneously generated from non cosmic regions and do not require an external matrix. The prerequisite is the original existence of the universe template. The driving force for expansion comes from the internal accumulation of negative energy tension field. The ultimate fate is to rebound upon reaching the trap wall and then contract. Scenario 2: External emergence (derived universe). There exists a massive mother universe, and our universe is a 'bubble' bulging out from the edge of the mother. The prerequisite is the existing field structure and quantum well in the parent universe. The driving force for expansion comes from the difference between the tension inside the package and the tension in the mother body. The ultimate fate is continuous expansion, rupture, or separation from the mother body. Scenario 3: Multiple points generated. The universe is not a single quantum well, but multiple quantum wells that are generated simultaneously or sequentially, each expanding, colliding, and merging. The prerequisite is a universe template and multiple activation points. The ultimate fate is collision and fusion, forming a larger unified universe. The testable inference is that there may be multiple cold or hot spots in the cosmic microwave background, corresponding to collision remnants of multiple quantum wells. Scenario 4: The format is uneven, and eventually converges to a unified mode. The formatting degree of the universe template is uneven in space, but gradually converges to a uniform value F=1 after long-term evolution. The evolution equation is ∂ F/∂ t=D_F ∇ ² F+λ (F − F_eq). The ultimate fate is to converge into a unified universe with universal physical constants. The unity of the four scenarios: The four scenarios are described uniformly within the mathematical framework of this article, with the only difference being the initial conditions and boundary conditions. No matter how the universe is created, its ultimate evolution tends towards a uniform convergence state (F=1). This explains why the universe we observe is uniform and isotropic on a large scale. Keywords: Annihilation field; Quantum well; Particle emergence mechanism; Dual-channel quantum spacetime framework; Alternative cosmic redshift; Hubble constant At the beginning of the universe, the physical processes of matter formation and development involve annihilation reaction pairs within particles. This paper assumes that in the early quantum spacetime, there were sufficient quantum traps. When a positive-energy annihilation reaction pair is captured by a quantum trap... A positive energy annihilation reaction pair is captured by a quantum trap, and this positive energy annihilation reaction pair is always carried out in the quantum trap without jumping out, that is, between the annihilation reaction and the annihilation pair. At the same time, a negative energy annihilation reaction pair is also captured by another quantum trap different from this quantum trap. The positive energy annihilation reaction pair is always clustered in the quantum trap, while the negative energy annihilation reaction pair is mutually exclusive and never clustered in the quantum trap. The inspiration comes from my previous article. One is that if an anti gravitational particle appears at the center of a singularity, it will diffuse into the universe and decay into a physical particle. Another article is about where antimatter went, assuming at the time that it was antimatter, where negative energy was frozen in the spacetime field. Another point to note is that currently, regardless of how long quantum spacetime has gone through, a cosmic template has been formed and formatted. Assuming this quantum trap, an annihilation pair, in the early stages of the development of quantum spacetime in the universe, it may not be the smallest energy unit in batches, but may be of different sizes, and eventually develop into a unified smallest energy unit, no matter how long it takes. Here we only analyze how the quantum trap annihilation reactions of quantum spacetime at the beginning of the universe affect physical processes and certain quantitative relationships, which is just an early stage in the formation of the properties of actual particles today. That is to say, after the Big Bang, the structure of the universe (the underlying quantum structure) was destroyed, and matter couldn't appear right away. The possibility of a quantum well universe model. In this article, space is invariant, while spacetime is a variable physical quantity The following is conducted within the scope of my understanding and recognition using the theory of human knowledge (the derivation of the mathematical part is within the scope of engineering mathematics for undergraduate students, with some slightly higher) 中文 英文(统一) 湮灭反应对 annihilation reaction pair 正能量湮灭对 positive-energy annihilation pair 负能量湮灭对 negative-energy annihilation pair 量子阱 quantum trap / quantum well 双通道 dual-channel 阱簇 trap cluster 相位相干 phase coherence 1. Definition of Core Concept: Annihilation Field Definition: Annihilation field is the fundamental field in vacuum, and its excitation mode is manifested as the annihilation reaction of positive and negative energy pairs. Physical image: Element Content The field itself is continuous and fills the entire space Boundary conditions of quantum well field Stable modes formed by localized excitation fields constrained by traps Positive excitation patterns gather to form material structures Negative excitation mode repulsion forms a spatiotemporal tension field Relationship with Standard Field Theory: Comparison of Standard Field Theory and Annihilation Field in this paper The nature of the field has no self aggregation and has self aggregation (unique underlying assumption) Excitation mode particle positive and negative energy annihilation pair External boundary conditions provide a given quantum well Analogous to the Higgs field, it fills space and forms localized excitations, but with the addition of self aggregation Mathematical expression: ``` Annihilation field Φ (x, t) → quantum well boundary conditions → local excitation Φ _nlm (r, θ, φ) ``` Key difference: The annihilation field in this article has self aggregation (the only underlying assumption), which is its fundamental difference from other fields in standard field theory. 2. Unified Table of Full Text Terminology Original terminology and new terminology Excitation mode of annihilation reaction on annihilation field Positive Energy Annihilation on the Positive Excitation Mode of Annihilation Field Ne

View source

Similar papers

#computer vision Open access Jun 2016

Software Development in Startup Companies: The Greenfield Startup Model

The results are packaged in the Greenfield Startup Model (GSM), which explains the priority of startups to release the product as quickly as possible, and the need to shorten time-to-market, by speeding up the development through low-precision engineering activities.

Carmine Giardino, Nicolò Paternoster, M. Unterkalmsteiner et al. · 178 citations · ⚡14
#computer vision Open access Oct 2016

Software Startups - A Research Agenda

Software startup companies develop innovative, software-intensive products within limited timeframes and with few resources, searching for sustainable and scalable business models.

M. Unterkalmsteiner, P. Abrahamsson, Xiaofeng Wang et al. · 157 citations · ⚡17
#machine learning Review Open access Oct 2016

“Failures” to be celebrated: an analysis of major pivots of software startups

This study conducts a case survey study based on the secondary data of the major pivots happened in 49 software startups, and demonstrates that customer need pivot is the most common among all pivot types.

Sohaib Shahid Bajwa, Xiaofeng Wang, Anh Nguyen-Duc et al. · 127 citations · ⚡15
#computer vision Review Open access May 2015

A survey study on major technical barriers affecting the decision to adopt cloud services

The comparison of adopter and non-adopter sample reveals three potential adoption inhibitor, security, data privacy, and portability, which underlines the importance of the technical and security perspectives for research investigating the adoption of technology.

Nattakarn Phaphoom, Xiaofeng Wang, S. Samuel et al. · 111 citations · ⚡8
#computer vision Open access Feb 2018

Lean Internal Startups for Software Product Innovation in Large Companies: Enablers and Inhibitors

This study investigates how Lean internal startup facilitates software product innovation in large companies and identifies its enablers and inhibitors, and shows the potential of the method-in-action framework to investigate the Lean startup approach in non-startup context.

Henry Edison, Nina M. Smørsgård, Xiaofeng Wang et al. · 78 citations · ⚡6
#computer vision Conference Sep 2010

Exploring the Sources of Waste in Kanban Software Development Projects

The application of agile software methods and more recently the integration of Lean practices contribute to the trend of continuous improvement in the software industry. One such area warranting proper empirical evidence is a project’s operational efficiency when using the Kanban method. This short paper takes a new angle and explores waste in the Kanban-driven software development project context. A preliminary research model is presented for helping the consequent replication of the study. The results from the empirical analysis suggest Kanban can be an effective method in visualizing and organizing the current work, but does not prevent waste from creeping in, although the overall project outcome may be successful.

Marko Ikonen, Petri Kettunen, Nilay V. Oza et al. · 67 citations · ⚡9

Related blog posts

Microsoft Research Blog Sep 21, 2026

Improving synthesis prediction of small molecules at scale with RetroChimera

Custom-made molecules are advancing medicine, materials, and agriculture, but producing them is slow and expensive. A new Nature paper highlights RetroChimera, a predictive model that helps accelerate chemical synthesis, helping researchers explore a wide range of molecules. The post Improving synthesis prediction of small molecules at scale with RetroChimera appeared first on Microsoft Research.

MIT News · Artificial Intelligence Sep 14, 2026

New method enables AI for safety-critical situations

The “HardFlow” algorithm could help generative AI models produce high-quality outputs that obey strict requirements when “pretty close” doesn’t cut it.

GPT-Lab Sep 10, 2026

Responsible AI Must Consider Its Afterlife

AI may appear weightless, but every model depends on physical infrastructure. To understand responsible AI, we need to look beyond algorithms and consider the entire lifecycle of the hardware behind them. The post Responsible AI Must Consider Its Afterlife appeared first on GPT-Lab.

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.