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Starter Python Code for the 2D Ising Model

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zari277/ising-starter-python

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README.md

Written by Surya Dutta ’18 | Original Matlab code written by Jed Thompson ’17

  • Command line interface to input simulation parameters
  • Better interpretability with pythonic features (e.g. list comprehension)
  • Modular codebase for easy changes and experimentation
  • Fancy progress bars with time estimations
  • Complete error handling with progress save
  • . and more coming!

GUI-based approach (Windows/Mac/Linux)

If you prefer to use GUIs as opposed to the command line, this section is for you!

Managing your Git Repository (optional, but recommended)

If you would like to use Git Version Control in your team to collaborate on and keep backups of your code, great! If not, no worries — just download the files here and follow the instructions below. Version control is always highly recommended.

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There are plenty of great GUIs for Git. My personal favorite is Github Desktop.

If you are new to Git and want to learn more about version control, visit this website for a great primer on version control, Git, and Github Desktop.

The first step is to make a Github account and fork this repository (click on Fork in the top right). This will create a copy of this code onto your own account. Now you can follow the instructions for your respective GUI to clone this repository (download the files locally), and start working with the simulation!

Installing and using Python

If you don’t have Python installed yet, I would highly recommend using the Anaconda distribution to install Python 3. You can find the installation instructions here

Once this is installed on your computer, you will have Python 3 ready to go, as well as important packages like NumPy and SciPy. You can view these packages and install new ones using the Anaconda Navigator (need to install this separately).

In order to edit and run your code, I would recommend Spyder (Scientific PYthon Development EnviRonment) (I know, horrible acronym, but the IDE makes up for it). It should be really easy to edit your code and run it through this environment. NOTE: The IPython shell in Spyder does not support nested progress bars, so you will only see one when you run the simulation. In order to see both, you will need to change your run configuration to run in a normal Python shell.

Another optional but cool program you can use is Jupyter Notebook (comes pre-installed with Anaconda). These notebooks support Python code, as well as Markdown and LaTeX, so you can keep all of your code organized and easily testable (hint: use for easier data analysis!). You should be able to open this through Anaconda Navigator.

These are just recommendations — there are plenty of other GUI-based applications for Python development out there (like Enthought Canopy). If you have time, do some playing around and see what you like!

  1. Fork this repository to your own account
  2. Navigate to the folder you would like to use, then use:
git clone git@github.com:>/ising-starter-python ising && cd ising
conda install --yes --file requirements.txt

If you have a standalone version of Python 3 installed and are using pip, use this instead (you may need to be a superuser to install Pip packages):

pip install -r requirements.txt
  1. The code should be ready to run! Use this to run the simulation, and it should save the results automatically to an auto-generated data folder:
python main.py --help 2D Ising Model Simulation Usage: main.py [OPTIONS] Options: --t_min FLOAT Minimum Temperature (inclusive) --t_max FLOAT Maximum Temperature (inclusive) --t_step FLOAT Temperature Step Size --n INTEGER Lattice Size (NxN) --num_steps INTEGER Total Number of Steps --num_analysis INTEGER Number of Steps used in Analysis --num_burnin INTEGER Total Number of Burnin Steps --j FLOAT Interaction Strength --b FLOAT Applied Magnetic Field --flip_prop FLOAT Proportion of Spins to Consider Flipping per Step --help Show this message and exit. 

This will list all of the parameters you can change. For example, if you run python main.py —b=0.5 —flip_prop=0.2 , the simulation will add a magnetic field of 0.5T and increase the flip proportion to 0.2. You can also edit the default parameters directly in the main.py file.

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Understanding the Simulation

There are three important python files in this simulation: main.py , ising.py , and annealing.py

main.py is the file you have to run for the simulation. The code in this file takes in the input parameters, runs the Ising model for each temperature step, gets the relevant data, saves it, and gives you a set of nice plots at the end. This is a lot, so we’ve broken this down into different functions to make it easier to understand/change. Here are the two most important ones:

  • run_simulation : takes in all the input variables and runs the simulation.
  • calculate_and_save_values : takes in the energy, magnetization, and spin values from the Ising code, calculates the appropriate statistical values, and saves them to a CSV file. This is where you should implement code to calculate the other values you are interested in.

ising.py calculates the Ising model at a certain temperature

  • Add Windows Powershell instructions
  • Add more info on Simulation structure
  • Optimize (make code faster)

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Python implementation of the Ising model

License

bdhammel/ising-model

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README.md

Python code to simulate the Ising model of a Ferromagnet.

For a discussion of the theory, visit my blog post.

The initial conditions of the ising lattice can be specified by the tempature , initial state , and size parameters of the model.

Running the simulation will output a video of system as it changes through out the run steps.

The —help command can show to possible parameters for modifying the simulation

$ python ising.py --help Usage: ising.py [OPTIONS] Options: -t, --temperature FLOAT temperature of the system [default: 0.5] -i, --initial-state [r|u] (R)andom or (U)niform initial state of the system [default: r] -s, --size INTEGER Number of sites, M, in the MxM lattice [default: 100] -e, --epochs INTEGER Number of iterations to run the simulation for [default: 1000000] --video Record a video of the simulation progression --help Show this message and exit.
$ python ising.py --temperature .8 --initial-state r --video
MovieWriter stderr: dyld: Library not loaded: /usr/local/opt/x264/lib/libx264.152.dylib Referenced from: /usr/local/bin/ffmpeg Reason: image not found

Then you need to install ffmpeg

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