Dataset for "Stochastic Pairwise Forces Enhance Tracer Diffusion in Non-motile Active Matter"

This dataset supports the publication 'Stochastic Pairwise Forces Enhance Tracer Diffusion in Non-motile Active Matter' by Henry Alston, Raphaël Voituriez, and Thibault Bertrand in Physical Review Letters (2026). Each filename indicates the figure and, when relevant, the specific panel in which the data appears. Content: -Figure1b.mat: contains the distributions $\mathrm{Prob}[n(r,t)=n_i]$ of particle numbers for the lattice model (panel_b_lattice_Pn vs panel_b_lattice_n), simulations of the field theory (panel_b_fieldsims_rho vs panel_b_fieldsims_n) and simulations of the field theory with $A=0$ (panel_b_fieldsims_withA0_rho vs panel_b_fieldsims_withA0_n). -Figure1c.mat: contains the two-time correlation functions for the lattice model (panel_c_lattice_time_correlations_corrs vs panel_c_lattice_time_correlations_ts), simulations of the field theory (panel_c_fieldsims_time_correlations_corrs vs panel_c_fieldsims_time_correlations_ts) and simulations of the field theory with $A=0$ (panel_c_fieldsims_withA0_time_correlations_corrs vs panel_c_fieldsims_withA0_time_correlations_ts). -Figure1d.mat: contains the two-space correlation functions for the lattice model (panel_c_lattice_spatial_correlations_corrs vs panel_c_lattice_spatial_correlations_rs), simulations of the field theory (panel_c_fieldsims_spatial_correlations_corrs vs panel_c_fieldsims_spatial_correlations_rs) and simulations of the field theory with $A=0$ (panel_c_fieldsims_withA0_spatial_correlations_corrs vs panel_c_fieldsims_withA0_spatial_correlations_rs). -Figure2.mat: contains the mean-square displacements and effective diffusivities from simulations of Eq. (7a) and (7b) for $A=0$, $A=2$ and $A=4$ for a range of coupling strengths $h$. Arrays msd_A# are 2D arrays with rows corresponding to times as stored in msd_times and columns corresponding to $h$ values as stored in msd_hs. Effective diffusivities are found in arrays Deff_A# which have the same length as msd_hs.