← All projectsGitHub
Digital twins & sim-to-real

What does a linear photon-counter twin of a SPAD lidar miss about dead time?

research/deadtime-twin

Linear photon-counter twin of a SPAD lidar vs dead time: half the flux reported at nτ=1, a paralyzable-detector ambiguity (one reading, two fluxes, 12.7× apart at mτ=0.2), first-photon range bias −N/(2√π)σ saturating near −2σ (−22.6 cm at N=10, σ=1 ns) that does not average out, and a Coates correction that removes it. Stylised.

10 tests

What it found

An ideal counter twin reads flux linearly; a real detector with dead time τ reports half the flux at nτ=1 (non-paralyzable) or 36.8% (paralyzable), and the paralyzable curve peaks at 1/e, so one reading has two fluxes (0.259 or 2.543 at mτ=0.2; a twin is 12.7× too low on the high branch). First-photon timing of a Gaussian pulse is biased early by −N/(2√π)σ at small N (exact) and saturating near −2σ: −0.28σ at N=1 and −1.50σ at N=10 (−22.6 cm for σ=1 ns) while the spread shrinks to 0.62σ, so it is bias, not averaging noise. A Coates correction of the first-photon histogram restores the mean to within 0.02σ. Stylised: one pulse, no background light, afterpulsing or crosstalk.

A figure from its own output

Figure produced by research/deadtime-twin: observed_rate
deadtime-twin/experiments/observed_rate.svg, written by the project's own experiment code.

Paper, code and results

More in Digital twins & sim-to-real

All 164 Digital twins & sim-to-real projects →

Other research topics

Proper scoring & elicitation28Effort & peer prediction9Verification games & slashing19Detection & tolerances14Markets as routers13Prediction-market design9Paying contributors8Decentralised training systems23Digital twins & sim-to-real164LLM chip design loops40Robot manufacturing loops53Ambient AI assistant46Self-replicating manufacturing34Simulation-first design64Engineered clothing45Task-specific AI accelerators40Algorithmic chip-design loops42Open-source purpose-built robots44The software-engineering loop43Adversarial human imitation41Open-source residential construction41Autonomous multi-angle capture34Sensing, imaging and 3D31Energy supply and dense energy storage39Robot societies among people31Agentic co-design of low-cost robots27Laundry-hanging robots25Machine learning on qualitative data23Robots on the building site27Civilizations & group psychology1History & human sciences1

Produced with AI assistance (Claude). Results are from the code in this repository and are simulated or stylised unless the abstract says otherwise; nothing here implies affiliation with or endorsement by any lab, researcher or company cited. MIT licensed.