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Record W2475082679 · doi:10.1109/tns.2016.2582686

A 2D Proof of Principle Towards a 3D Digital SiPM in HV CMOS With Low Output Capacitance

2016· article· en· W2475082679 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueIEEE Transactions on Nuclear Science · 2016
Typearticle
Languageen
FieldPhysics and Astronomy
TopicAdvanced Optical Sensing Technologies
Canadian institutionsUniversité de Sherbrooke
FundersNatural Sciences and Engineering Research Council of CanadaCMC Microsystems
KeywordsSilicon photomultiplierJitterCapacitancePhysicsPhoton countingCMOSDetectorVernier scalePhotodetectorElectronic engineeringElectrical engineeringComputer scienceOptoelectronicsOpticsEngineering

Abstract

fetched live from OpenAlex

The 3D vertical integration of SPAD and readout electronics is a promising avenue to high performance photodetectors. This approach will minimize most limitations of current SiPM and lead to better performances in terms of effective PDE, timing and added functionalities. In this paper, we present a new integrated digital SiPM electronic architecture. This specific architecture aims to replace conventional analog SiPM with the added benefits of a significantly lower and constant output capacitance as well as immunity to SPAD to SPAD gain variation on the single photon resolution while providing an analog-like output signal waveform representing the sum of all triggered SPADs. This electronic architecture also offers options to turn off noisy SPADs, to reduce afterpulsing through a programmable hold-off time and to adjust the dynamic range of the output depending on the photon flux. While the 3D integration process development is underway, we realized a 2D version as a proof of principle of the electronic architecture. The 2D detector presented in this article is composed of an array of 242 pixels for a size of 1.1 × 1.1 mm <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> . The output capacitance of the device is 5.6 pF/mm <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> , the timing jitter associated to the quenching circuit is about 40 ps FWHM and the maximum timing skew within the array is about 70 ps, which could still be optimized.

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 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 score0.929
Threshold uncertainty score0.370

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.001
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 head0.233
Teacher spread0.223 · 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