README

Code used in Stone et al. (in review, ApJ) for GAMA quasar host star formation history paper analysis.

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Author

This code is developed by Maria B. Stone.

Last Updated

October 19th, 2025

Motivation

⚠️ Note This repository contains the code and work-in-progress analysis for my study on quasar host star formation. The code is under active development. Only a small representative data is included (not the full catalog).

Background

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The code demonstrates:

• How to

Usage

A small example on how to start using this code.

Notes

• Scratch Notebooks are included to show full workflow and reasoning, see 4_scratchcode_notes/ directory.

• Core functions in code/ are reusable for other projects.

• This repository is a work in progress and will be updated as analyses continue.

References

• GAMA Survey: https://www.gama-survey.org

• CIGALE SED fitting: https://cigale.lam.fr

• MAGPHYS SED fitting: https://www.iap.fr/magphys

Acknowledgments

Guidance on coding workflow and documentation provided by OpenAI’s ChatGPT (GPT-5).

Citation

If you use this example or its concepts, please cite:

Stone, M. (in review, ApJ)

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Files

• 1_tables/ # This is a director with all of the data tables. As of now, since the paper is not published, only subsamples.

results_galaxies.fits #Subsample of results for control galaxies from CIGALE fits

12_data_seed_gals_set199_magphys.fits #Subsample of data from MAGPHYS database for control galaxies

• 4_code/ # This directory contains all of the clean code. I aim for this code to be reusable, especially the functions.

functions_GAMA_github.ipynb # Jupyter notebook of functions used in this analysis functions_GAMA_github.py # Same as above, but as a python file / python module

• 4_scratchcode_notes/ # This directory contains Jupyter notebooks showing step-by-step calculations, visualizations, and intermediate checks. These notebooks demonstrate the workflow, reasoning, and plots used in the analysis. These notebooks are for transparency and exploration.

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