/cosmos2020-readcat

A Jupyter Notebook to get started with the COSMOS2020 catalogue: basic operations like manipulating photometry and plotting galaxy physical quantities.

Primary LanguageJupyter NotebookMIT LicenseMIT

Noetbook to analyse the COSMOS2020 catalogue

A basic script to get started with the COSMOS2020 catalogue. It shows how to modify photometry, plot galaxy physical quantities, etc. Written by D. Blanquez, I. Davidzon, G. Magdis.

Contacts

David Blanquez-Sese: dblse@space.dtu.dk

Iary Davidzon: iary.davidzon@nbi.ku.dk

Outline

With the present Notebook the user is able to extract valuable information from the COSMOS2020 catalogue, which can be downloaded from the official data repository. This is also a convenient starting point for further analysis. With minimal modifications the code can be useful to study others galaxy catalogues.

The Notebook is divided in the following sections:

  • Introduction: loading the tables and selecting the columns
  • Data preparation: basic manipulations/corrections of the original photometry
  • Data visualization: sky map, redshift and color distributions, SED fitting
  • Classic diagnostics: color-color diagrams, SFR vs. M* diagram, ...
  • A simple machine-learning application: prducing "mock photometry" by means of Gaussian Mixtures

Acknowledgments

If you use the COSMOS2020 catalog in your study, please cite Weaver et al. (2021)