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Photon-to-Digital Converter in 65 nm CMOS Technology with SPTR Below 15 ps FWHM

2025· article· W4417470504 on OpenAlexaff
Raffaele Aaron Giampaolo, Jean Chénard, Sean Prentice, C. Pépin, F. Vachon, R. Scarpellini, Guillaume Théberge‐Dupuis, Simon Carrier, Samuel Lavoie-Drainville, T. Rossignol, N. Roy, J.‐F. Pratte, Serge A. Charlebois

Bibliographic record

Venuenot available
Typearticle
Language
FieldPhysics and Astronomy
TopicAdvanced Optical Sensing Technologies
Canadian institutionsUniversité de Sherbrooke
Fundersnot available
KeywordsCMOSConvertersVernier scalePixelDiodeFull width at half maximumPower (physics)Electronic circuitApplication-specific integrated circuit

Abstract

fetched live from OpenAlex

The advancement of high-energy physics, medical imaging and quantum communication relies on precise timing and spatial photon detection. We are developing a photon-to-digital converter (PDC), consisting of an array of single-photon avalanche diodes (SPADs) connected one-to-one at the cathode with quenching circuits (QCs). The PDC, implemented in TSMC 65 nm LP CMOS technology, will integrate 4096 pixels and the readout chain required for single-photon detection and time tagging. The time-stamping will be achieved through 512 tiled time-to-digital converters (TDC), using a cascaded-stage vernier architecture which offers low power and area while keeping a 10 ps timing resolution. The future PDC design is based on preliminary results from last year's prototype showing single-photon timing resolution (SPTR) values below 15 ps FWHM when the QC is directly connected to a 2D SPAD. This confirms the effectiveness of the readout architecture and circuit-level implementation. The timing precision and granularity of the PDC leads to a great versatility. By analyzing the different applications the PDC is designed for, the presentation will delve in the architectural challenges and capabilities of our device.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.469
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.001

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 head0.004
GPT teacher head0.231
Teacher spread0.227 · 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.

Study designTheoretical or conceptual
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
Published2025
Admission routes1
Has abstractyes

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