Self-calibrating time resolution estimation and regime diagnostics from event time-based survival curves with jitter-based time scaling

This work presents a no-peek method that predicts detector time distributions from a single parameter: the timing jitter. The method does not fit the data. Instead, it extracts the dominant time scale directly from the survival curve and reconstructs the full time response from it.

The approach does not require prior calibration, detector-specific parameters, or knowledge of the particle type.

The method has been extensively validated on Geant4-based simulations across multiple particle types (γ, e⁻, K⁰_L, neutron), energies, materials, detector configurations, and noise levels. In addition, a robustness test on real proton therapy data shows that the method remains stable in clinically relevant, jitter-dominated environments.

A key observation is that near-perfect agreement (R² ≈ 0.99–1.00) occurs only in jitter-dominated regimes. As a result, the method is not only predictive but also serves as a diagnostic tool to distinguish detector-driven responses from physically driven temporal structures.

We invite independent validation: the package includes a fully runnable pipeline. Please run it on your own data without tuning or parameter adjustment and evaluate whether the prediction holds. We are particularly interested in cases where the method fails.

The package includes:
– detailed technical documentation
– validation on Geant4 simulations
– robustness test on real proton therapy data
– negative tests for non-jitter-dominated regimes
– usage examples and recommended configurations

This release represents a stable, validated baseline. Future updates will include extended tests and additional configurations.