⭐ Hertzsprung–Russell Diagram

Visualizing stellar evolution and properties with Python

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🎯 Purpose & Scope

This repository offers a Python‐based visualization of the Hertzsprung–Russell (H-R) Diagram, a fundamental tool in astrophysics that plots stars by luminosity (or magnitude) vs. temperature (or spectral class). The aim is to provide both educational insight and analytical visualization of stellar populations.

• Plot the positions of stars in the H-R plane.
• Use real or synthetic stellar data (temperature, luminosity, magnitude).
• Generate bilingual (Turkish / English) output images.
• Enable comparison of different stellar populations or evolutionary tracks.

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🧩 Project Structure

📁 Hertzsprung-Russell-Diagram/
│
├── Python Doc.py          → Main script: data processing & plotting routines
├── HR image_en.png         → H-R diagram (English labels)
├── HR image_tr.png         → H-R diagram (Turkish labels)
└── README.md               → This file (with HTML content)

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⚙️ Installation & Usage

1. Ensure you have Python 3.x installed.
2. Install required libraries (e.g. numpy, matplotlib):

   pip install numpy matplotlib

3. Run the plotting script:

   python "Python Doc.py"

4. Resulting H-R diagram images are saved in the repo (English and Turkish versions).
5. Optionally modify input stellar datasets or add your own data to visualize different groups.

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🔭 Scientific Background

• Hertzsprung–Russell Diagram Explained

The H-R diagram is a scatter plot where stars are placed according to:

• Surface temperature (or spectral class) on the horizontal axis, usually decreasing leftwards
• Luminosity (or absolute magnitude) on the vertical axis

This diagram reveals stellar populations: the main sequence, giants, supergiants, white dwarfs, etc.

• Typical Relations

- More massive, hotter stars tend to lie toward the upper left (high luminosity, high temperature). - Cooler, less luminous stars lie toward the lower right. - Evolutionary tracks move stars across this diagram as they age.