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Record W4288020367 · doi:10.48550/arxiv.1911.09384

On the origin of the LIGO "mystery" noise and the high energy particle\n physics desert

2019· preprint· W4288020367 on OpenAlexaff
Niayesh Afshordi

Bibliographic record

VenuearXiv (Cornell University) · 2019
Typepreprint
Language
FieldPhysics and Astronomy
TopicPulsars and Gravitational Waves Research
Canadian institutionsPerimeter InstituteUniversity of Waterloo
Fundersnot available
KeywordsPhysicsLIGOQuantum fluctuationGravitational waveQuantum noiseQuantum gravityZero-point energyWave–particle dualityQuantum mechanicsQuantumObservablePlanckPlanck lengthPlanck energyNoise (video)Theoretical physics

Abstract

fetched live from OpenAlex

One of the most ubiquitous features of quantum theories is the existence of\nzero-point fluctuations in their ground states. For massive quantum fields,\nthese fluctuations decouple from infrared observables in ordinary field\ntheories. However, there is no "decoupling theorem" in Quantum Gravity, and we\nrecently showed that the vacuum stress fluctuations of massive quantum fields\nsource a red spectrum of metric fluctuations given by $\\sim$ mass$^5$/frequency\nin Planck units. I show that this signal is consistent with the reported\nunattributed persistent noise, or "mystery" noise, in the Laser Interferometer\nGravitational-Wave Observatory (LIGO), for the Standard Model of Particle\nPhysics. If this interpretation is correct, then it implies that: 1) This will\nbe a fundamental irreducible noise for all gravitational wave interferometers,\nand 2) There is no fundamental weakly-coupled massive particle heavier than\nthose in the Standard Model.\n

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.007
Scholarly communication0.0030.004
Open science0.0000.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.044
GPT teacher head0.216
Teacher spread0.172 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations0
Published2019
Admission routes1
Has abstractyes

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