Eric G. M. Muller
  • Home
  • Papers
  • Projects
  • Weather
  • Recent & Upcoming Talks
    • Example Talk
  • Weather Forecast
  • Publications
    • An example preprint / working paper
    • An example journal article
    • An example conference paper
  • Projects
  • Current_projects
    • Machine Learning for HI Fraction Prediction
    • Dust Attenuation in SAMI & MAGPI
  • Past_projects
    • MSIM
  • Blog
    • ๐ŸŽ‰ Easily create your own simple yet highly customizable blog
    • ๐Ÿง  Sharpen your thinking with a second brain
    • ๐Ÿ“ˆ Communicate your results effectively with the best data visualizations
    • ๐Ÿ‘ฉ๐Ÿผโ€๐Ÿซ Teach academic courses
    • โœ… Manage your projects
  • Experience
  • Teaching
    • Learn JavaScript
    • Learn Python

Dust Attenuation in SAMI & MAGPI

Jan 30, 2023 ยท 1 min read

A project looking at the correlations between dust attenuation and galaxy properties (stellar mass, star formation rate, and gas-phase metallicity) in SAMI and MAGPI galaxies, on both spatially-resolved and integrated scales.

Last updated on Jan 30, 2023
Python MAGPI SAMI Spatially-Resolved IFS
Eric G. M. Muller
Authors
Eric G. M. Muller
PhD Candidate

← Machine Learning for HI Fraction Prediction Feb 1, 2024

ยฉ 2025 Eric G. M. Muller. This work is licensed under CC BY NC ND 4.0

Published with Hugo Blox Builder โ€” the free, open source website builder that empowers creators.