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Record W4242923413 · doi:10.22215/etd/2016-11376

Radon Detection Using CMOS Alpha Sensor

2016· dissertation· en· W4242923413 on OpenAlexaff
Alexander Ross

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldEngineering
TopicRadiation Effects in Electronics
Canadian institutionsCarleton University
Fundersnot available
KeywordsComparatorAlpha particleRadonDiodeElectrical engineeringCMOSOptoelectronicsSense (electronics)Sensitivity (control systems)Materials scienceVoltageEngineeringPhysicsElectronic engineeringNuclear physics

Abstract

fetched live from OpenAlex

A radon monitor based on a 3 mm × 3 mm alpha particle-detecting IC fabricated in a foundry CMOS process is reported. The alpha-detecting IC consists of a 16×16 array of pn junction diodes (sense diodes) that are precharged in reverse bias and then allowed to electrically float. Radon progeny are collected on the IC using an electrostatic concentrator. On-chip comparators detect the voltage change induced in a sense diode by an alpha particle emission from radon progeny passing though a sense diode. The comparator outputs are monitored by a microcontroller which processes the data and transmits it to a microcomputer using Bluetooth. The monitor has a sensitivity of 1.12 counts per hour per 100 Bq/m^3 of radon activity. The monitor appears suitable for mass production at very low cost.

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 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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.381
Threshold uncertainty score0.974

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 head0.005
GPT teacher head0.225
Teacher spread0.221 · 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 teacher head, 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
Published2016
Admission routes1
Has abstractyes

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