Isaac Real computing action! Physics, numerical programming, data science & more

Physics // Numerical methods in physics have led to new insights into old problems and have long since allowed the consideration of previously unaddressed phenomena. In its current state, computation can be viewed as complementary to the traditional routes of experiment and theory. For many physicists, myself included, computer physics provides an accessible way of doing physics without the need for substantial experimental resources. Literally one only needs a text editor, compiler, and some imagination to be able to start doing physics. Furthermore, computational algorithms provide a way of “discovering” physics in a manner similar to the traditional mode of pure research. Inevitably what follows in this process is the discovery that the same algorithms give the same results. In other words, that physics is phenomenologically unified.

Numerical Programming // Originally written in Fortran, this site primarily houses a collection of physics programs translated into JavaScript. Modern Fortran contains object-oriented characteristics, interoperability with the C language, as well as parallel processing capabilities via the Message Passing Interface library, coarrays, or OpenMP.

Data Science // My training as a physicist also provides a natural foundation for the role of data scientist, where the roles of explorer, scientist, and analyst are effectively combined. (Experimental physicists are particularly well suited for this role as they are already trained in how to make sense of real world data, and are typically much stronger in statistics.) As demonstrated here, this translates into an individual that has the curiosity and passion for exploring new problems, data sets, and technologies. Implicit in this act of exploration is the tendency to take a clean, novel approach to an old problem. Moreover, the discipline and knowledge of my scientific background means that I am comfortable with testing my code and algorithms in a rigorous and objective manner. Lastly, my training as a scientist also aligns closely with that of an analyst, where answers are often the by-product of details. For physicists as well as data scientists, these details are uncovered and comprehended through the enrichment of data.

List of Programs ()Related ContentOther Cool Stuff

  1. Sternheimer Density Effect Parameters
  2. Stopping Power of Particle Radiation
  3. Kosterlitz-Thouless I. Mean Magnetization
  4. A Miniature Solar System
  5. One-Dimensional Classical Ideal Gas
  6. The Double Pendulum
  7. A Simple Variational Monte Carlo Method
  8. Range-Energy Calculator
  9. Response to External Forces
  10. Higher-Dimensional Models
  11. The Simple Pendulum
Sternheimer Density Effect Parameters Elijah
This program calculates the Sternheimer density effect parameters using the prescription given in The International Journal of Applied Radiation and Isotopes 33(11), 1189 (1982). This utility is a companion to the Range-Energy Calculator.
Stopping Power of Particle Radiation Elijah
Provides stopping power and kinetic energy as a function of depth for a specified projectile-target combination.
Kosterlitz-Thouless Transition in the Planar Model I. Mean Magnetization Elijah
Utilizes the Monte Carlo method to simulate the planar model on a square lattice using periodic boundary conditions.
A Miniature Solar System Elijah
Simulates a miniature Solar system of two planets about a fixed Sun-like star.
One-Dimensional Classical Ideal Gas Elijah
Investigates some of the equilibrium properties of a one-dimensional classical ideal gas.
The Double Pendulum Elijah
Solves the coupled equations of motion of a double pendulum to simulate chaos for large amplitude oscillations.
A Simple Variational Monte Carlo Method Elijah
Applies a simple variational Monte Carlo method to Fermat's principle of least time in geometrical optics.
Range-Energy Calculator Elijah
Provides range, initial kinetic energy, final kinetic energy, or linear energy transfer for a specified projectile-target combination.
Response to External Forces Elijah
Solves the equation of motion of a driven damped linear oscillator to illustrate how a harmonic system responds to perturbation.
Higher-Dimensional Models Elijah
Obtains a numerical solution to the Lorenz equations via a common fourth-order Runge-Kutta method.
The Simple Pendulum Elijah
Solves the equation for the total energy of a simple pendulum to illustrate conservation of mechanical energy for large oscillations.
back-to-top Got blue milk?