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Record W2112519719 · doi:10.1109/ccece.2003.1226385

Low temperature performance of operational amplifiers for space applications

2004· article· en· W2112519719 on OpenAlexafffund
S.T. Gunaseelan, C.R. Selvakumar, David M. Hiemstra

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAdvancements in Semiconductor Devices and Circuit Design
Canadian institutionsUniversity of Waterloo
FundersUniversity of Waterloo
KeywordsOperational amplifierAmplifierInput offset voltageCurrent sense amplifierBiCMOSOffset (computer science)Electrical engineeringVoltageTransistor arrayBandwidth (computing)CMOSElectronic engineeringMaterials scienceComputer scienceOptoelectronicsEngineeringTransistorTelecommunications

Abstract

fetched live from OpenAlex

Since 1994, following the Perry COTS Initiative, there is need to understand, characterize and qualify commercially off the shelf (COTS) electronic components, like operational amplifiers, at extremely low temperatures such as that encountered in space. In this paper we study and characterize the low temperature performance of a number of different types of operational amplifiers for space applications. The degradation parameters are studied at the following temperatures: 70 /spl deg/C, 25 /spl deg/C, 0 /spl deg/C, -60 /spl deg/C, -120 /spl deg/C. The key performance characteristics studied are the gain-bandwidth, noise voltage and offset voltage. Operational amplifiers based on CMOS, Bipolar and BiCMOS technologies are studied. The differences in the degradation behaviour are discussed.

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 score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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)0.0010.001

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 head0.010
GPT teacher head0.230
Teacher spread0.220 · 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

Citations10
Published2004
Admission routes2
Has abstractyes

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