#  Extracting Galaxy Properties through SED Fitting with CIGALE
**Speaker:** Victoria Catán • **Date:** 12-09-2025

## Abstract
Got some galaxy photometry and want to know what is really happening inside those systems? CIGALE (Code Investigating GALaxy Emission) is a powerful Python tool that transforms multi-wavelength observations into meaningful physical insights about galaxies. Using energy balance principles and Bayesian analysis, CIGALE can extract key properties like stellar mass, star formation rates, dust content, and stellar population ages from your photometric data. This talk will guide you through the complete CIGALE workflow: preparing ASCII input files, managing filter databases, configuring SED modules, and executing the fitting process. We will cover practical aspects, including handling upper limits and uncertainties, selecting appropriate models for your scientific goals, and interpreting the robust parameter estimates along with their associated uncertainties. Whether you are working with nearby galaxies or pushing to high redshifts, this session will equip you with the skills to unlock the physical secrets hidden in your photometric catalogs!
## Files
- Slides: [slides.pdf](./python-coffee-victoria.pdf)
- Video: [video](https://youtu.be/-mEf-tFS2Bc)