Practical fitting framework for applying Countoscope expressions to experimental data

Develop a precise procedure for using the derived Countoscope expressions—specifically the formulas for the number correlation function C_N(t) and the number mean-squared difference obtained via integrated intermediate scattering functions for Active Brownian Particles, Run-and-Tumble Particles, and Active Ornstein–Uhlenbeck Particles—at different truncation orders to fit experimental measurements and thereby enable practical parameter inference from number-fluctuation data.

Background

The paper derives theoretical expressions for number fluctuations of self-propelled particles by linking number correlations to intermediate scattering functions (ISFs). For Active Ornstein–Uhlenbeck Particles (AOUPs), a closed-form Gaussian expression is obtained, while for Active Brownian Particles (ABPs) and Run-and-Tumble Particles (RTPs), the authors develop an exact continued-fraction framework (exact for RTPs; controlled truncations for ABPs) that yields ISFs and, by integration, predictions for number correlations and the number mean-squared difference (NMSD). These predictions are validated against simulations and analyzed across diffusive, advective, and enhanced-diffusion regimes.

While the work provides limiting laws and guidance about truncation order accuracy as a function of Péclet number, it does not supply a concrete, end-to-end methodology for fitting experimental Countoscope data using the derived expressions. The authors explicitly defer a precise discussion of how to use the expressions at different truncation orders to fit experimental data, indicating the need for a practical fitting framework that operationalizes their theoretical results for parameter extraction.

References

Precise discussion on the use of our expressions at different orders to fit experimental data is however outside the scope of this paper and is left for future work.

The Countoscope for self-propelled particles  (2604.02907 - Cerdin et al., 3 Apr 2026) in Convergence of the limiting regimes (subsection within Convergence at different orders for Countoscope metrics)