# data folder ## Filelist ### Overview ``` data | +-MFTChi : mean-field theory results for susceptibilities | +-ChiDyn.dat : single-particle dynamical susceptibility | +-ChiHet.dat : single-particle heterogeneous susceptibility | +-ChiTh.dat : single-particle thermal susceptibility | +-ChiVar.dat : single-particle variational susceptibility | +-rlgdynamics : tracer dynamics | +-chis.dat : different metrics of heterogeneities | +-rcovpfactor.dat : covariance of different coordinates | +-*D : dimentionality (d=*) | +-* : obstacle density (Phi=*) | +-msd.dat : mean square displacement at obstacle density (*) | +-Dtdist_log.dat : long time limit cage size distribution in log scale | +-Datamf.dat : infinite-dimensional mean-field cage size ``` ### data file column description - MFTChi/Chi*.dat mean-field theory results for susceptibilities. Columns: 1. scaled cage size $\hat\Delta = Delta d$ 2. scaled susceptibility $\hat\chi^S / \hat \Delta^2$ - rlgdynamics/chis.dat simulation results for susceptibilities. Columns: 1. dimensionality $d$ 2. obstacle density $\Phi$ 3. cage size $\Delta$ 4. thermal susceptibility $\chi_th$ 5. heterogeneous susceptibility $\chi_het$ 6. log normal fit parameter for cage size distribution $\mu$ 7. log normal fit parameter for cage size distribution $\sigma$ - rlgdynamics/rcovpfactor.dat simulation results for coordinate covariance. Columns: 1. scaled obstacle density $\hat\varphi = \Phi/d$ 2. dimensionality $d$ 3. coordinate covariance $C(t -> \infty)$ - rlgdynamics/.../msd.dat mean square displacements evolving with time. Columns (all columns are unscaled, tracer has unit velocity): If there are five columns: 1. t - time 2. MSD - mean square displacement 3. [r^4] - mean quadruple displacement 4. [ ^2 ] - term in (old definition of) chi_het ( averaged with both initial and final points of the tracer) 5. [r_i^2 * r_j^2] - term in covariance of square displacement of orthogonal direction 6. [count] - number of cavities If there are four columns: column 4 and 5 in the previous case is not recorded - rlgdynamics/.../Dtdist_log.dat simulation results for distribution of cage sizes in log scale. Columns: 1. scaled cage size $\hat\Delta = Delta d$ 2. Number of samples fall into the cage size window $N(\hat\Delta)$ - Datamf.dat mean-field theory results for cage size. Columns: 1. scaled cage size $\hat\Delta = Delta d$ 2. scaled obstacle density $\hat\varphi = \Phi/d$