Data Archive for research paper: 'Efficient characterisation of large deviations using population dynamics'

Journal reference
: J. Stat. Mech. (2018) 053204

DOI
: [10.1088/1742-5468/aab3ef](https://doi.org/10.1088/1742-5468/aab3ef)

Authors
: Tobias Brewer, Stephen R. Clark, Russell Bradford and Robert L. Jack

Figure 2 - Trajectories

  - .txt files

Figure 3 - Fourier Component of Density

  - .txt files and .m file

Figure 4 - Large Deviations Function, Activity and Susceptibility

  - .mat files and .m files

Figure 6 - Tau Errors

  - 6a - Systematic Errors
      * .txt files and .m file

  - 6b - Statistical Errors
      * .txt files and .m file

  - 6c - Run Time
      * .txt files and .m file

Figure 7 - Time Convergence

  - 7a - Many sL2
      * .mat files and .m file

  - 7b - sL2 = 28
      * .txt files and .m file

Figure 8 - Average of Observables

  - .txt files and .m file

Figure 9 - AutoCorrelation

  - .txt files and .m file

Figure 10 - Clone Convergence

  - 10a - Many sL2
      * .mat files and .m file

  - 10b - sL2 = 50
      * .txt files, .mat file and .m file

Figure 11 - Probability Distributions

  - .txt, .mat files and .m files

Figure 14 - Communications Patterns

  - .txt files and .m file

Figure 15 - Weak Scaling

  - .txt files and .m file

Repository

  - .cpp codes and .hpp header files for running SSEP ona 1-D lattice with
    periodic boundary conditions.

  - Includes corresponding makefile.