Faculty Advisor: John Moustakas
Course: Independent Research, PHYS499-04
Abstract: Image analysis of galaxies holds an important amount of information about their structure, dust content, and formation history. Many different codes currently exist to conduct such analyses, but many take large amounts of time to operate and to scale large galaxy samples that have complex features. To fix these complications, a new open-source tool (written entirely in Python) called AutoProf was used to provide new insights into the physics of galaxy formation. The primary goal is to become familiar with some of the techniques used to analyze galaxy imaging, with images from the Siena galaxy database, to gain insight into galaxy formation and evolution.
Location: MAC, Table # 79
Poster Presentation
