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Record W2934524020 · doi:10.5539/apr.v11n3p12

Practical Measurement of Absolute Velocity of Earth

2019· article· en· W2934524020 on OpenAlexvenueno aff
Gurcharn S. Sandhu

Bibliographic record

VenueApplied Physics Research · 2019
Typearticle
Languageen
FieldEngineering
TopicGeophysics and Sensor Technology
Canadian institutionsnot available
Fundersnot available
KeywordsPhysicsTime dilationOpticsLaserPicosecondPulse (music)Reference frameMeasure (data warehouse)Time of flightSpeed of light (cellular automaton)Theory of relativityComputational physicsDetectorFrame (networking)Computer scienceClassical mechanicsTelecommunications

Abstract

fetched live from OpenAlex

In 1880, Albert Michelson conceived the idea of optically measuring the speed of earth through the solar system. However, the Michelson-Morley experiment conducted for detecting the expected motion of earth, gave null result. Einstein propounded his theory of Relativity on the assumption that speed of light is isotropic in ECI reference frame. The Relativity model can be invalidated through an unambiguous physical experiment that confirms anisotropy of light speed in ECI reference frame. Let us consider a 3 km long line segment AB, fixed on surface of earth. The proposed experiment for measuring absolute velocity of earth involves sending a picoseconds Laser pulse from location A at time T0 and detecting it at location B at time T1 to measure the time of flight Tab of the laser pulse from A to B. On the other hand, by sending a picoseconds Laser pulse from location B at time T0 and detecting it at location A at time T2 we can measure the time of flight Tba from B to A. For accurate measurement of times of flight Tab and Tba the precision atomic clocks located at A and B must be in absolute synchronization. The absolute velocity Uab will be given by Uab/c = (Tab - Tba)/(Tab + Tba). Final absolute velocity U of earth can be computed from pulse flight timing record of 24 hours. For this we need to use the latest cutting-edge technology in Atomic Clocks, Pulsed Lasers, Ultrafast Detectors and Picosecond Time Interval Counters.

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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.005
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0010.001
Scholarly communication0.0010.002
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.002

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 head0.090
GPT teacher head0.323
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

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 designBench or experimental
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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