# Superconducting photon detector current-crowding and evidence map model card

- Version: 2026-08-26-v102
- Experiment: SA-SENS-SNSPD-001
- Execution: precomputed browser CSV replay only
- Rows: 5184

## Purpose

Connect geometry and local-current hypotheses to edge/constriction evidence, illuminated versus dark context, competing detection-regime labels, metrology lineage, uncertainty, contradictions, and the next owned evidence check without turning a teaching packet into detector design guidance.

## Model

The generator uses only original dimensionless SemiAgora assumptions. It computes a local-loading product, signed edge margin, teaching barrier transform, relative photon-trigger and dark-activation scores, an observable-event score, timing-lineage and attribution confidence, and replacement-evidence readiness.

These fields are not current density, critical-current fraction, energy barrier, internal or system detection efficiency, dark-count rate, timing jitter, count rate, statistical confidence, technology readiness, or qualification metrics. Dark-observation rows force photon-trigger susceptibility to zero.

## Evidence ladder

Each row keeps geometry, normalized loading, current distribution, constriction state, event context, mechanism ambiguity, metrology lineage, uncertainty, contradiction flags, and a replacement gate visible. A real detector claim requires owned spatial, electrical, optical, timing, background, calibration, uncertainty, drift, and review evidence.

## Non-claims

This is not a Maxwell, London, Ginzburg-Landau, TDGL, vortex-rate, hotspot, electrothermal, optical, circuit, cryogenic, fabrication, yield, reliability, or product model. It provides no actual bias current, temperature, magnetic field, geometry, material, process, equipment setting, detector recommendation, performance prediction, ranking, qualification, or signoff.

## Rights

The source spine keeps official and primary links, metadata, abstract-level scope, and original synthesis only. Follow each rights holder's current terms before using a linked publication or resource.