We have produced a research paper 'Efficient characterisation of large deviations using population dynamics' investigating the nature of rare events in the SSEP. We study activity distribiutions of this process on a one dimensional lattice with periodic boundary conditions. The process is simulated using a C++ code and parallelisation is used to increase computational efficiency. The two parallelisation methods that we use are OpenMP and MPI and these are stored in a repository in this data set. The codes are designed such that they can be used to study rare events in other processes and study observables other than activity. The dataset includes .txt and .mat files output by the C++ files and by the .m files used for processing. Further .m MATLAB files are used to produce the data and tables within the paper.
|Date made available||8 May 2018|
|Publisher||University of Bath|
|Date of data production||1 Oct 2015 - 1 Oct 2017|
Brewer, T. (Creator), Jack, R. (Creator), Clark, S. (Supervisor), Bradford, R. (Supervisor). (8 May 2018). Data for 'Efficient characterisation of large deviations using population dynamics'. University of Bath. 10.15125/BATH-00457