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Record W2256781291 · doi:10.1109/newcas.2011.5981267

A low-power low-noise CMOS charge-sensitive amplifier for capacitive detectors

2011· article· en· W2256781291 on OpenAlex

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
TopicAdvanced Semiconductor Detectors and Materials
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsAmplifierCMOSPhysicsCapacitorCapacitive sensingElectrical engineeringCapacitanceNoise (video)DetectorElectronic circuitOptoelectronicsCharge amplifierPreamplifierElectronic engineeringOperational amplifierVoltageEngineeringComputer scienceElectrode

Abstract

fetched live from OpenAlex

In this paper, the design of a new low-power low-noise charge-sensitive amplifier (CSA) is presented. The proposed CSA is intended for capacitive sensor readout circuits such as interface circuits for solid-state detectors used in medical imaging and X-ray spectroscopy. A comprehensive noise analysis of readout systems that consist of a CSA followed by an RC-CR pulse shaper is presented. To facilitate predicting the noise behaviour of the system, the equivalent noise charge (ENC) equations are derived analytically. The readout circuit is designed and laid out in a 0.13-μm CMOS process. Post-layout simulations show that the conversion gain of the CSA with a 20 fF feedback capacitor is 37.5 mV/fC. The estimated ENC of the readout system is 38 e̅-rms at a 1 μs peaking time with a detector capacitance of 0.5 pF and a leakage current of 50 pA. The integral nonlinearity of the CSA is less than 0.74% for 0.5-3 ke̅. The open-loop gain of the amplifier is ~ 80 dB and the gain-bandwidth product is about 345 MHz. The CSA occupies 0.0021 mm <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> and consumes 37.5 μW from a 1.2 V supply.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
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 score0.043
Threshold uncertainty score1.000

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)0.0010.000

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 head0.020
GPT teacher head0.214
Teacher spread0.194 · 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