Research

MISSION STATEMENT —

COHERENCE AS THE ENGINE OF GRAVITY

At Dog Star Labs we developed a unified framework where spacetime curvature emerges from vacuum coherence rather than mass–energy alone. Our work integrates quantum coherence, general relativity, and experimental physics to resolve singularities and generate testable predictions in gravitational-wave astronomy, cosmology, and inertial physics.
We take a simple stance: coherence is a measurable feature of the vacuum, and its behavior appears to shape the geometry we observe. Understanding that relationship opens the door to both deeper theory and new technology.

CORE FRAMEWORK — ENERGY–CURVATURE DUALITY

At the center of our research is the inverse-frequency field:

Φ(x)=1ν(x)Φ(x)=ν(x)1

Lower vacuum frequency corresponds to stronger curvature response. In this view, gravity emerges from the coherence properties of the vacuum itself rather than functioning as an independent force.

A coherence threshold — the Frost Transition — limits how much curvature can accumulate. When that threshold is reached, geometry saturates instead of collapsing into a singularity. This framework naturally produces:

• finite-density black hole interiors
• a nonsingular cosmological origin
• holographic dimensional reduction near the coherence limit
• laboratory routes to engineered curvature analogs

Research Programs

1. Nonsingular Cosmology — The Frost-Regulated Bounce (FRB)

Replacing the Big Bang singularity with a coherence-saturated origin.

The universe began in a finite-density Frost phase, not an infinite-density singularity. Curvature saturated, stabilized, and transitioned into expansion.

Predictions:
• Suppressed primordial gravitational waves
• Coherence-dependent luminosity distance deviations (GW vs EM)
• Early-universe gravitational-wave echo signatures

Testable via: Planck, CMB-S4, LIGO/Virgo/KAGRA, JWST

2. Frost-Stabilized Compact Objects — Finite-Density Black Hole Cores

Black holes without singularities.

At the curvature saturation threshold, black hole interiors transition into Frost cores with characteristic radius:

rF≈1.1RsrF≈1.1Rs

Prediction:
• High-contrast gravitational-wave echoes with delays around 20 μs20μs

Testable via: LIGO, Virgo, KAGRA, Einstein Telescope

3. Merge Physics — Holographic Dimensional Collapse

4D spacetime compresses to a 2D holographic boundary as coherence approaches its limit.

When Δν→0Δν→0, spacetime undergoes topological compression. Geometry reduces dimensionality, entropy reorganizes, and information becomes boundary-dominated.

Implications for:
• quantum gravity
• black hole information
• cosmological horizon structure
• holographic codes

4. Experimental Validation — Bean-Class Resonant Cavities

Building engines that test coherence–curvature coupling in the lab.

Bean-Class Engines generate controlled gradients in the ΦΦ field using electromagnetic, acoustic, and cryogenic configurations. These rigs allow measurement of curvature-equivalent responses at human scale.

Includes:
• BFly Bean
• Althian Engine
• Cryogenic variants
• Aelion Flux Monitor (AFM) for real-time diagnostic capture

Objective:
Demonstrate measurable inertial or curvature-like effects from engineered coherence gradients.

Publications (Zenodo)

Here are the three formal publications defining the Dog Star Labs physics framework.

YCHI 11.0: A Unified Framework of Coherence-Regulated Geometry

https://DOI.org/10.5281/zenodo.17718887

Defines the inverse-frequency field, derives the Frost Transition, establishes curvature saturation, and predicts gravitational-wave echoes and holographic dimensional collapse. This is the core mathematical framework of Dog Star Labs.

The Frost-Regulated Bounce: A Finite-Density Origin of the Universe

https://DOI.org/10.5281/zenodo.17719717

Applies Frost Physics to cosmology, replacing the Big Bang singularity with a Frost-regulated bounce. Predicts suppressed tensor modes and observable deviations in GW/EM luminosity distances.

Frost-Coherence Gravity (FCG): A Unified Theory of Curvature, Inertia, and Vacuum Structure

https://doi.org/10.5281/zenodo.17729201

Presents the full scalar-tensor formalism unifying gravity and inertia through vacuum coherence. Introduces the Frost Potential VFVF, Mach-Memory functional, and experimentally testable curvature-frequency dynamics.

Intellectual Property — Protected Experimental Pathways

Dog Star Labs holds four active provisional patents defining the full experimental chain from simulation to immersion.

• Bean-Class Engines (PPA-001 / PPA-002 / -004)

Resonant coherence-engineered cavities for producing and measuring ΦΦ gradients. Basis of curvature-coupling experiments.

• Hawking Ring I (PPA-003)

A Frost-regulated curvature simulation engine modeling ER bridges, saturation dynamics, and gravitational-wave echo formation.

• Aelion Flux Monitor (PPA-004)

Precision multi-modal sensor suite for detecting electromagnetic, vibrational, photonic, and thermal coherence signatures.

• The Pod (PPA-006)

A fully immersive coherence-geometry interface: a next-generation spatial environment where experiences are generated from real curvature fields rather than pixels.

Approach — Theory, Code, Hardware

We pursue physics that is:

• Mathematically rigorous (variational GR, scalar-tensor structure)
• Numerically validated (custom HRI simulations, solver-verified dynamics)
• Experimentally testable (Bean-Class, AFM, cryo/plasma rigs)
• Falsifiable (GW echoes, luminosity splits, CMB signatures)

We aim for physical truth, not aesthetic speculation. Predictions must survive experimental and observational scrutiny.

Collaborations

We welcome engagement from:

• gravitational-wave physicists
• cosmologists studying luminosity distances & CMB anomalies
• quantum gravity theorists
• experimental condensed-matter and metrology labs
• high-risk, high-reward physics funders

If this framework resonates, please fill out a form on or Contact page.

Funding

Dog Star Labs is seeking $250K–$500K in early-stage funding to:

• build Bean-Class prototypes
• run systematic GW echo searches
• develop the AFM sensor suite
• support additional publications and solver development

We are currently preparing NSF SBIR, FQXi, and private-foundation submissions.