MétaCan
Menu
Back to cohort
Record W2594845521 · doi:10.1109/antem.2004.7860593

PAASoM: A simulation tool in Matlab for phased array analysis

2004· article· en· W2594845521 on OpenAlex
Michel Clénet, Philippe Martel

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

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAntenna Design and Optimization
Canadian institutionsDefence Research and Development Canada
Fundersnot available
KeywordsMATLABPhased arrayAzimuthComputer scienceWeightingAntenna (radio)Phased-array opticsPhase (matter)SoftwarePosition (finance)Electronic engineeringOpticsAlgorithmAcousticsPhysicsEngineeringTelecommunications

Abstract

fetched live from OpenAlex

A simulation tool has been developped using Matlab [1] to analyse the radiation characteristics of phased array antennas. This program is called PAASoM, standing for Phased Array Antenna Software in Matlab. Matlab has been chosen for its capability of data plotting and the multiple mathematical functions that are already defined. The software program PAASoM allows the studies of arrays of different geometries and lattices, and with the possibility of weighting each element in phase and magnitude. The elements can be grouped in sub-arrays, and each sub-array can have its own phase weigthing. The array factor can be calculated in one or several planes as a function of a parameter given by the user. This parameter can be the number of bits of the phase shifters, the scanning angle, the frequency or the azimuth angle indicating the plane of calculation. Error analysis can also be carried out. The error can be on the magnitude, the phase or the position of each element.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.942
Threshold uncertainty score0.212

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 head0.012
GPT teacher head0.238
Teacher spread0.227 · 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

Quick stats

Citations1
Published2004
Admission routes1
Has abstractyes

Explore more

Same topicAntenna Design and OptimizationFrench-language works237,207