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Record W7118606490 · doi:10.60787/jnamp.vol71no.602

GENERALIZED UNCERTAINTY PRINCIPLE EFFECTS ON NEUTRON STAR EQUATION OF STATE AND THERMAL PROPERTIES

2025· article· en· W7118606490 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

VenueAfrischolar Discovery · 2025
Typearticle
Languageen
FieldPhysics and Astronomy
TopicPulsars and Gravitational Waves Research
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsNeutron starObservableRADIUSUncertainty principleConstraint (computer-aided design)Equation of stateWork (physics)Gravitational wave

Abstract

fetched live from OpenAlex

We investigate how the Generalised Uncertainty Principle (GUP) affects neutron star structure and cooling. By modifying the equations of state to include GUP effects at extremely high densities through momentum-dependent corrections to the relativistic Fermi gas model, we compute mass-radius relations and thermal evolution curves. Using advanced numerical techniques, we solve the Tolman-Oppenheimer-Volkoff and thermal transport equations together. Our results show that GUP introduces observable changes, especially in cooling behaviour and radius estimates. We compare our findings with NICER data from PSR J0030+0451 and PSR J0740+6620, as well as gravitational wave events like GW170817 and GW190425. This comparison enables us to place a tight upper bound on the GUP parameter, , making it the strongest astrophysical constraint to date. Our work highlights neutron stars as powerful tools for testing quantum gravity, setting the stage for future investigations using multi-messenger astronomy.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.524
Threshold uncertainty score0.332

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 communication0.0000.000
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 head0.014
GPT teacher head0.301
Teacher spread0.286 · 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