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Record W2023187170 · doi:10.1139/p02-037

Effect of cobalt 60 and 1 MeV electron irradiation on silicon photodiodes/solar cells

2002· article· en· W2023187170 on OpenAlexvenueno aff
A. Saad

Bibliographic record

VenueCanadian Journal of Physics · 2002
Typearticle
Languageen
FieldEngineering
TopicCCD and CMOS Imaging Sensors
Canadian institutionsnot available
Fundersnot available
KeywordsPhotodiodeIrradiationPhysicsResponsivityDiodeOptoelectronicsSiliconOpticsSapphireRadiationElectronLaserPhotodetectorNuclear physics

Abstract

fetched live from OpenAlex

Using 10–60 krad doses of cobalt 60 gamma radiation, the effect of simulated space radiation on 1 mm2 active area silicon photodiodes with a sapphire window is studied. The diodes will be used to control the laser output of a space experiment in geostationary orbit. The effect of 1 MeV electron irradiation with various fluences on 100 mm2 silicon photodiodes/solar cells, which were used to control the attitude of a satellite in space, is also studied here. Fluences ranging from 3 x 1014 to 1 x 1015 cm–2 of 1 MeV energy, caused a decrease in the short-circuit current, i.e., increasing the percentage of deterioration from 12% to 20% at a room-temperature measurement. Exposure to the gamma irradiation yields almost no degradation for the electro-optical performance of the devices. The manufacturing processes of the detectors and their electro-optical I–V characteristics such as fill factor, responsivity, and dark current are presented here. Electro-optical tests were also done at intermediate levels of irradiation. High stability and high quality of the photodiodes were achieved prior to and after irradiation. PACS No.: 84.60J

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)0.000
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 score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.004
GPT teacher head0.174
Teacher spread0.170 · 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

Citations17
Published2002
Admission routes1
Has abstractyes

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