**Direct Detection of Dark Matter (2026, 1/7)


via a Hyper-Scale Canine Computational Detector**


Evidence for a Non-Standard Complexity-Coupled Dark Sector



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Authors


Lukas B. Hartmann¹,

Simona Ionescu²,

Pierre-Étienne Lambert³,

Kenji Nishikawa⁴,

The DPU–DCC Collaboration†


¹ Institute for Fundamental Structures, Helios Research Consortium

² Centre for Nonlinear and Complex Systems, European Research Assemble

³ Département de Physique Théorique, École Nouvelle de Genève

⁴ Advanced Detection Architectures Unit, Pacific Scientific Forum



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Abstract


We report the detection of a non-baryonic cosmological component, intrinsically designated  Dubai Chewy Cookie, DCC, using a novel detector architecture based on large-scale biological computation. The detector, termed the Dog Processing Unit (DPU), consists of approximately  canine biological processors arranged in a hybrid parallel–serial topology, enabling sensitivity to interaction channels inaccessible to conventional particle detectors. DCC exhibits purely gravitational coupling and remains fully decoupled from all Standard Model forces. Based on operational, phenomenological, and cosmological criteria, DCC  is identified and defined as dark matter.



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1. Introduction


The dark matter problem persists as a fundamental limitation of modern physics. Despite extensive searches targeting weakly interacting particles, no conclusive non-gravitational signal has been observed. This suggests that the prevailing assumption—that dark matter couples to elementary fields describable within perturbative quantum field theory—may be incomplete.


Here we explore an alternative paradigm: dark matter may couple preferentially to systems of extreme dynamical complexity, rather than to elementary particles or engineered detectors.



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2. Conceptual Framework


2.1 Limitations of Conventional Detectors


Standard detectors rely on linear responses of reduced degrees of freedom. Formally, detection requires a non-vanishing matrix element:


\langle \text{DM} | \mathcal{O}_{SM} | \text{DM} \rangle \neq 0


For DCC, we find:


\langle \text{DCC} | \mathcal{O}_{SM} | \text{DCC} \rangle = 0

\quad \forall \mathcal{O}_{SM}


except for coupling to spacetime curvature.



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2.2 Complexity-Coupled Interaction Hypothesis


We propose that DCC couples to an emergent operator , defined only for systems exceeding a critical complexity threshold :


\mathcal{L}_{int} = g_C\, \Phi_{\text{DCC}} \, \mathcal{C}


where  does not exist for artificial detectors but emerges in large-scale biological neural assemblies.



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3. Dog Processing Unit (DPU)


3.1 Architecture


The DPU consists of:


 canine units


Hierarchical parallel layers (spatial sensitivity)


Deep serial coupling (temporal integration)



This architecture forms a single macroscopic detector with an effective state space:


\dim(\mathcal{H}_{\text{DPU}}) \sim \exp(2^{30})


exceeding any known artificial computational system.



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3.2 Why Canines


Canine neural systems exhibit:


High signal-to-noise sensory baselines


Strong global synchronization tendencies


Stable long-range coherence under external perturbation



These properties make them uniquely suitable as biological transducers for weak, non-local signals.



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4. Experimental Observation


4.1 Signal Characteristics


Under predicted local dark matter density enhancements, the DPU exhibited:


Global phase-coherent neural deviations


No corresponding electromagnetic, thermal, or nuclear signal


Persistent spacetime curvature anomalies at detector scale



The signal amplitude scales linearly with galactic dark matter density models.



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4.2 Identification of Dubai Chewy Cookie


The detected entity displays:


High internal stability


Resistance to fragmentation


Absence of decay channels



The collaboration therefore adopts the intrinsic designation:


> Dubai Chewy Cookie, DCC




This name reflects the object’s internally cohesive yet externally non-interacting nature and is not a codename but a proper physical identifier.



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5. Classification as Dark Matter


Operationally, dark matter is defined as matter that:


1. Gravitate on astrophysical and cosmological scales



2. Do not participate in Standard Model interactions



3. Persist over cosmological timescales




DCC satisfies all criteria.

Accordingly, Dubai Chewy Cookie is classified as dark matter.



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6. Implications


This result implies:


Dark matter may exist outside particle-based ontologies


Biological complexity can function as a legitimate detection medium


Current experimental strategies explore only a subset of interaction space



The DPU framework opens an entirely new detection frontier.



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7. Conclusion


We have demonstrated that a hyper-scale biological computational system can detect a dark sector entity invisible to all conventional detectors. The object, Dubai Chewy Cookie exhibits all defining properties of dark matter. This work suggests that the universe may encode information in forms accessible only to sufficiently complex systems.



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Acknowledgements


The authors acknowledge the collective contribution of the DPU biological processors, without whose emergent coherence this discovery would not have been possible.



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References (fictional)


1. Hartmann, L.B. et al., Complexity as a Detection Channel in Fundamental Physics, J. Speculative Physics (2026)



2. Ionescu, S., Emergent Operators Beyond the Standard Model, Ann. Nonlinear Cosmology (2025)



3. Nishikawa, K., Limits of Artificial Detectors in Dark Sector Searches, Rev. Frontier Instrumentation


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