Analysis of ESO 388 Dwarf Galaxy Data with Python

Project Overview

The purpose of this bachelor's project was to analyze and calculate necessary information from the datacube for ESO 388 Dwarf Galaxy. Using Python, along with mathematical methods and image processing techniques, several significant results were achieved.

Objective

To utilize Python for analyzing astronomical data of the ESO 388 Dwarf Galaxy, aiming to extract and calculate detailed information about the galaxy and its components. This project demonstrates proficiency in data analysis, image processing, and applying mathematical methods in astrophysics.

Key Insights

Reconstructed V-band Image:

• Created a V-band image of the galaxy that includes surrounding star clusters and some background galaxies, providing a comprehensive visual representation of the galaxy.

Chemical Abundances:

• Inferred the chemical abundances of elements O, N, and S, including error analysis. This helps in understanding the chemical composition and enrichment processes within the galaxy.

Confirmation of WR Stars:

• The inclined value of log(O/H) in the central zones suggests the presence of Wolf-Rayet (WR) stars, indicating high-mass star formation activity.

Radial Patterns:

• Calculated the radial pattern for electron density, temperature, and the total mass of the ionized halo, offering insights into the physical conditions and structure of the galaxy.

Data Integration

• Utilized Python for advanced data analysis and image processing.

• Applied mathematical methods to accurately infer chemical abundances and physical properties.

• Employed image processing techniques to reconstruct clear and informative visuals of the galaxy.

• Conducted comprehensive error analysis to ensure the reliability of results.

Conclusion

The analysis of the ESO 388 Dwarf Galaxy data showcases my ability to apply Python and advanced mathematical methods to astrophysical data. The project highlights skills in data analysis, image processing, and interpreting astronomical observations, providing valuable insights into the physical and chemical properties of the galaxy.