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Record W4404393629 · doi:10.1142/s021827182450072x

Modeling less complex fuzzy dark matter cylindrical wormholes

2024· article· en· W4404393629 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueInternational Journal of Modern Physics D · 2024
Typearticle
Languageen
FieldPhysics and Astronomy
TopicSpace Science and Extraterrestrial Life
Canadian institutionsUniversity of Calgary
FundersDeanship of Scientific Research, King Saud University
KeywordsPhysicsWormholeDark matterTheoretical physicsDark fluidDark energyClassical mechanicsAstrophysicsAstronomyCosmology

Abstract

fetched live from OpenAlex

The objective of this paper is to provide a piece of theoretical evidence for the existence of cylindrically symmetric, time-independent wormhole models surrounded by the halos of fuzzy dark matter. To do so, we model our system by assuming a cylindrical spacetime coupled with locally anisotropic matter content. We calculate the shape function involved in the construction of fuzzy dark matter wormholes, by solving simultaneous equations of motion and density powered by Einasto energy profile. The investigation of the validity of null energy conditions is performed with the aim of seeing stable wormhole structures. The role of the equation of state parameter in the theoretical structure of the shape function and the redshift function is studied which would lead to understanding the signals’ gravitational redshift and the spatial distribution of the fuzzy wormholes. A few characteristics of the wormholes like hydrostatic equilibrium, and active C-energy are also noticed in the less complex wormholes. It is inferred that the stability as well as the size of the fuzzy dark matter wormholes can be fine-tuned by modulating the index parameter involved in the energy source.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.558
Threshold uncertainty score0.431

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.053
GPT teacher head0.319
Teacher spread0.266 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it