MétaCan
Menu
Back to cohort
Record W1641453905 · doi:10.1109/tps.2015.2471261

Simulation of Nikola Tesla Atmospheric (Maser) Discharges

2015· article· en· W1641453905 on OpenAlexaff
Mladen M. Kekez

Bibliographic record

VenueIEEE Transactions on Plasma Science · 2015
Typearticle
Languageen
FieldPhysics and Astronomy
TopicGyrotron and Vacuum Electronics Research
Canadian institutionsAlberta Energy
Fundersnot available
KeywordsAtomic physicsMaserHydrogenHydrogen maserPhysicsDissociation (chemistry)Atmospheric electricityMaterials scienceOpticsAtomic clockChemistryElectric field

Abstract

fetched live from OpenAlex

In this paper, an attempt is made in the laboratory to simulate Nikola Tesla atmospheric maser discharges. The ground lightning bolt, commonly observed, takes the form of filamentary lightning channels called the leader and the return strokes. It is taken that Nikola Tesla atmospheric discharges are obtained when a powerful high-frequency source triggers the atmospheric discharge and enables the energy stored in the cumulonimbus clouds to be released in the form of maser radiations, which are accompanied by a diffuse glow-like discharge covering a large area, as in the case of the aurora borealis. The main point in the current investigation is the generation of the powerful hydrogen atom (maser) line at 1.420 GHz recorded under the condition of high humidity present in air. This suggests that the driving frequency of high power at a frequency close to 1 GHz is capable of electrolysis of the water vapor present in air, dissociation of the hydrogen molecule into atoms, excitation of atomic hydrogen, and consequent emission from the hydrogen atoms in the manner found in the hydrogen atomic clock.

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)0.000
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: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.389
Threshold uncertainty score0.383

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.033
GPT teacher head0.315
Teacher spread0.283 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
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

Citations2
Published2015
Admission routes1
Has abstractyes

Explore more

Same venueIEEE Transactions on Plasma ScienceSame topicGyrotron and Vacuum Electronics ResearchFrench-language works237,207