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First Flights of a New Test Facility for Solar Cell Characterization in the Stratosphere

2023· article· en· W4388426197 on OpenAlexaboutno aff
Matteo Gemignani, R. Campesato, Salvo Marcuccio

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
Topicsolar cell performance optimization
Canadian institutionsnot available
Fundersnot available
KeywordsPhotovoltaicsStratosphereSounding rocketDepth soundingAerospace engineeringRemote sensingCharacterization (materials science)MeteorologySolar cellAtmospheric soundingEnvironmental sciencePhotovoltaic systemEngineeringPhysicsOpticsElectrical engineeringGeology

Abstract

fetched live from OpenAlex

ECAPS (Experimental Characterization of Advanced Photovoltaics in the Stratosphere) is a new solar cell test facility developed to allow accurate characterization of photovoltaics in the near-space environment. The system is design to fly on both large zero-pressure balloons and on small sounding (weather) balloons, providing a low cost, quick access alternative route to the stratospheric AM0 environment. In 2022, ECAPS flew on a sounding balloon flight from central Italy and on the SOLAR mission by CNES (HEMERA programme) from Timmins, Canada, successfully testing several last generation and experimental solar cells and demonstrating the viability of the system for cell characterization and calibration. Further flights are scheduled for 2023 from both locations. In this paper, the key concepts of the facility design and a summary of the flight results are reported.

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)0.001
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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
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 head0.013
GPT teacher head0.196
Teacher spread0.182 · 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
Published2023
Admission routes1
Has abstractyes

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