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Record W7038105695

Gravitational collapse in anti-de Sitter spacetime

2020· dissertation· en· W7038105695 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.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueMspace (University of Manitoba) · 2020
Typedissertation
Languageen
FieldMathematics
TopicAdvanced Mathematical Physics Problems
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of CanadaWestern Canada Research GridCompute CanadaSherman Fairchild FoundationNational Science Foundation
KeywordsSpacetimeLinearized gravityMassless particleScalar fieldAnti-de Sitter spaceEinstein field equationsGravitational collapseScalar (mathematics)Gravitational field
DOInot available

Abstract

fetched live from OpenAlex

The gravitational collapse of a minimally coupled scalar field in (d + 1)-dimensional Anti-de Sitter spacetime is examined via a collection of manuscripts that are, or are in the process of, being published. First, the results of the numerical evolution of the 5-dimensional nonlinear Einstein equations are used to construct a phase diagram of collapse behaviours, taking the mass and width of the initial profile as parameters. Next, we test the limits of a family of perturbative solutions for massless scalars with static boundary conditions in AdS%u2084. Finally, we derive set of flow equations for the time evolution of a massive scalar field in the perturbative description of AdS%u2084 with time-dependent boundary conditions.

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 categoriesMeta-epidemiology (narrow)
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 score0.250
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.025
GPT teacher head0.257
Teacher spread0.233 · 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