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Record W2339754873 · doi:10.1109/lascas.2016.7451027

High-voltage pulse generator with variable delay for ultrafast gating of single photon detector

2016· article· en· W2339754873 on OpenAlexafffund
Sreenil Saha, Frédéric Lesage, Mohamad Sawan

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldPhysics and Astronomy
TopicAdvanced Optical Sensing Technologies
Canadian institutionsPolytechnique Montréal
FundersNatural Sciences and Engineering Research Council of CanadaCanada Research ChairsCMC Microsystems
KeywordsDetectorUltrashort pulseOpticsPhysicsPhotonGatingOptoelectronicsLaser

Abstract

fetched live from OpenAlex

In this paper we have developed an ultrafast pulse generator to turn on a Single Photon Avalanche Diode (SPAD) sensor with picosecond resolution, at specific time windows. The pulse amplitude and duration is user tunable to provide a variable excess bias voltage to the detector. The transition times (rise and fall time) of the pulse is in the range of 250 to 550 ps depending on the amplitude. The generator was designed to be applied in reflectance optical spectroscopy measurements where the diffusive medium is illuminated from a point source and diffused photons are collected at a given distance from the source. To increase the sensitivity to higher penetration depth of investigation, the source and the detector separation should be small which in turn increases the number of unwanted early arriving photons. This system will keep the detector off for the first 500-600ps, thus rejecting the early arriving photons, and will only turn-ON the detector when it is expected to detect the late photons coming from the deeper regions. The proposed fully CMOS integrated system is the first of its kind to be introduced for the ultra-fast gating of the single photon detectors.

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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.252
Threshold uncertainty score0.315

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 head0.010
GPT teacher head0.212
Teacher spread0.202 · 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

Citations2
Published2016
Admission routes2
Has abstractyes

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