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Record W2123181968 · doi:10.1109/tasc.2007.906001

Physical Modeling of Hot-Electron Superconducting Single-Photon Detectors

2007· article· en· W2123181968 on OpenAlexaff
Zhizhong Yan, A. Hamed Majedi, Safieddin Safavi‐Naeini

Bibliographic record

VenueIEEE Transactions on Applied Superconductivity · 2007
Typearticle
Languageen
FieldPhysics and Astronomy
TopicSuperconducting and THz Device Technology
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsKinetic inductancePhysicsPhotonSuperconductivityDetectorAmplitudeElectromagnetic radiationInductanceWavelengthElectronCoupling (piping)OptoelectronicsOpticsCondensed matter physicsVoltageMaterials scienceNuclear physicsQuantum mechanics

Abstract

fetched live from OpenAlex

In this paper, we treat the incident photons as an electromagnetic plane wave and simulate the wave power coupling to the the hot-electron superconducting single-photon detector to investigate its connection with the experimental system quantum efficiency over different wavelengths. Then we propose a lumped equivalent circuit model based on the kinetic inductance variation induced by the incident photon stream when the serpentine superconducting thin-film nano-wire is dc-biased close to its critical current. The computed output voltage matches experimental results for both amplitude and frequency.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.028
GPT teacher head0.262
Teacher spread0.235 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
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

Citations37
Published2007
Admission routes1
Has abstractyes

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