https://github.com/pratikpaudel/astro-data-analysis

https://github.com/pratikpaudel/astro-data-analysis

Last synced: 30 days ago
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• Host: GitHub
• URL: https://github.com/pratikpaudel/astro-data-analysis
• Owner: PratikPaudel
• Created: 2024-11-03T03:54:17.000Z (2 months ago)
• Default Branch: main
• Last Pushed: 2024-11-21T03:37:47.000Z (about 2 months ago)
• Last Synced: 2024-11-21T04:19:27.499Z (about 2 months ago)
• Language: Python
• Size: 764 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Data Analysis and Plotting Project

This project contains various scripts for data analysis and plotting using Python. The scripts utilize libraries such as `numpy`, `matplotlib`, and `scipy` to perform different types of data analysis and generate visualizations.

## Scripts Overview

### `1_muv_halpha_analysis.py`

Analyzes MUV and H-alpha data and generates a plot with error bars.



### `2_function_plotting.py`

Contains functions to plot various mathematical functions including quadratic, cubic, logarithmic, and trigonometric functions.



### `3_spectral_fitting.py`

Performs spectral data analysis and fits a linear function to the data.



### `4_eddington_analysis.py`

Analyzes Eddington ratios and extinctions, and generates a scatter plot with a correlation coefficient calculation.



### `5_density_comparison.py`

Compares density data from different sources and generates contour plots.



### `6_density_plotting_2d.py`

Generates a 2D density plot from normally distributed random data using Kernel Density Estimation (KDE).



## Installation

1. Clone the repository:

    ```sh

    git clone https://github.com/PratikPaudel/your-repo-name.git

    cd your-repo-name

    ```

2. Create a virtual environment and activate it:

    ```sh

    python -m venv venv

    source venv/bin/activate  # On Windows use `venv\Scripts\activate`

    ```

3. Install the required dependencies:

    ```sh

    pip install -r requirements.txt

    ```

## Usage

Run any of the scripts directly using Python. For example, to run the MUV and H-alpha analysis script:

```sh

python scripts/1_muv_halpha_analysis.py