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Record W4407911033 · doi:10.1103/physrevd.111.046025

Effective Kerr geometry from loop quantum gravity

2025· article· en· W4407911033 on OpenAlexafffund
Francesco Fazzini

Bibliographic record

VenuePhysical review. D/Physical review. D. · 2025
Typearticle
Languageen
FieldPhysics and Astronomy
TopicNoncommutative and Quantum Gravity Theories
Canadian institutionsUniversity of New Brunswick
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsLoop quantum gravityPhysicsLoop (graph theory)QuantumQuantum geometryQuantum gravityGeometryClassical mechanicsTheoretical physicsQuantum mechanicsMathematicsQuantum dynamicsQuantum processCombinatorics

Abstract

fetched live from OpenAlex

We derive an effective Kerr metric from an effective Schwarzschild metric inspired by loop quantum gravity using the Newman-Janis algorithm. The resulting spacetime is free from the classical ring singularity and does not allow the existence of closed timelike curves, due to a lower radial bound in its domain inherited from the spherically symmetric seed metric. We provide a possible interpretation of this lower bound by expressing the metric in generalized Painlev\'e-Gullstrand coordinates. We analyze the horizon structure and ergoregion highlighting the similarities and differences with the classical Kerr spacetime. The study of the trajectory of a zero angular momentum observer reveals two novel effects purely due to quantum gravity: one related to the frame dragging and the other to the repulsive behavior in the deep quantum region. We derive an effective separation Carter constant and the geodesic equations. Finally, we specialize the geodesic analysis to equatorial circular trajectories, obtaining a modified third Kepler law and the equation defining the photon sphere.

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.

How this classification was reachedexpand

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.183
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0000.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.002

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 head0.010
GPT teacher head0.418
Teacher spread0.408 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations6
Published2025
Admission routes2
Has abstractyes

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