Cosmic Expansion Dataset

This script provides an embedded dataset of redshift and comoving distance measurements from Type Ia supernovae and a minimal Python class to load and parse the data in memory.

These measurements can be used for studying cosmic expansion, Hubble's law, and dark energy models.

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🚀 Overview

The dataset is embedded directly in the script as a multi-line string using CSV format. The class CosmologicalExpansionAnalyzer reads and parses this data on instantiation.

Each data entry contains:

• redshift (z): Dimensionless, derived from supernova light spectra.
• distance_mpc: Comoving distance in megaparsecs (Mpc), assuming a cosmological model.

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📦 Features

• Zero I/O: Data is embedded in the script—no need for external files.
• Lightweight: Pure Python solution with no required dependencies.
• Ready for analysis: Converts the dataset into a pandas DataFrame for easy manipulation and plotting.

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🧪 Example Usage

After installing the package, simply type the following command in your terminal:

cosmoexp

This will automatically load the dataset and display a Hubble diagram, showcasing the relationship between redshift and comoving distance.

No additional setup or coding is required except anything that you might contribute.