https://github.com/niaggar/galtonboard

Windows application to simulate the Galton board, allows you to configure different parameters of the problem.
https://github.com/niaggar/galtonboard

galton-board ipt ovito physics physics-simulation simulation

Last synced: about 1 month ago
JSON representation

Windows application to simulate the Galton board, allows you to configure different parameters of the problem.

• Host: GitHub
• URL: https://github.com/niaggar/galtonboard
• Owner: niaggar
• License: mit
• Created: 2024-03-24T19:30:42.000Z (9 months ago)
• Default Branch: main
• Last Pushed: 2024-09-17T04:04:30.000Z (3 months ago)
• Last Synced: 2024-09-17T07:13:05.625Z (3 months ago)
• Topics: galton-board, ipt, ovito, physics, physics-simulation, simulation
• Language: C#
• Homepage:
• Size: 5.37 MB
• Stars: 2
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

        
# GALTON BOARD SIMULATION

![distribution.png](imgs%2Fdistribution.png)

The objective of the program is to provide a solution to the **IPT 2024** question that states:

> Dropping a set of beads on a board with evenly distributed pegs results in a binomial distribution. Is it possible to generate other kinds of distributions by varying some parameters (Pegs size, pegs distribution, bead format, etc.)? Is it possible to achieve a distribution that does not obey the central limit theorem in an i.i.d. scenario? What happens to the distribution when one makes the board vibrate?

This is a simulation of the galton board that allows to obtain probability distributions from solving the physical system with certain configurable conditions.

It is possible to customize values such as:

- Number of particles.

- Angle and initial velocity of the particles.

- Characteristics of the pins.

- Vibrations of the pins.

- etc.

The presentation of the proposed solution given by the Colombian team can be seen [here](https://docs.google.com/presentation/d/1pFj1MYFzL2bfL1-pL6skxryTZbD89Zf_/edit?usp=sharing&ouid=107561484371809526311&rtpof=true&sd=true).

Developed by: **IPT UniValle Group** ❤️ 

- Nicolas Aguilera.

- Kevin Giraldo.

- Andres Valencia.

![logo.png](imgs%2Flogo.png)