AM225 Final Project (Spring 2021)

Exploration of Efficient Simulation for Swarmalators

Contributors: M. Elaine Cunha, Helen Read, Jack Scudder

See our report in final_paper/ for more information.

Directory

• _old/: folder containing out-of-date code and figures
• figs/: folder with figures used in report
• figs_data/: folder with data for producing figures in report (incomplete as some files are quite large)
• final_paper/: folder containing our final project report
• Figures.ipynb: Jupyter notebook for producing figures in report
• Makefile: compiles code; check that line 2 contains the correct compiler for your system before running; type make in the command line to compile all code
• Makefile.dep: details dependencies for compiling code
• fsal_rk4d.cc: implements five-step Runge-Kutta first-same-as-last adaptive integration with dense output
• fsal_rk4d.hh: header file for fsal_rk4d.cc
• point.hh: header file for a C++ struct used for storing agent data in the grid-binning implementation of our finite-cutoff scenario
• run_basic_swarm.cc: outputs 2D and 3D swarmalator results for our base case (after typing make, use ./basic_swarm to run); see file for swarmalator parameters and assumptions
• run_finite_swarm.cc: outputs 2D and 3D swarmalator results with a finite-cutoff interaction radius (after typing make, use ./finite_swarm to run); see file for swarmalator parameters and assumptions
• run_forced_swarm.cc: outputs 2D and 3D swarmalator results with external forcing (after typing make, use ./forced_swarm to run); see file for swarmalator parameters and assumptions
• swarm_ode.cc: implements swarmalator differential equation with variations
• swarm_ode.hh: header file for swarm_ode.cc