HEP-Astro Seminar | A Deep Learning Approach to Galaxy Cluster X-ray Masses
Michelle Ntampaka (Harvard University)
Monday, September 16, 2019
335 West Hall Map
I will present a machine-learning approach for estimating galaxy cluster masses from Chandra x-ray mock observations. I will describe how a Convolutional Neural Network (CNN) -- a deep machine learning tool commonly used in image recognition tasks -- can be used to infer cluster masses from these images, reducing scatter in the mass estimates by up to 50%. I will also show an interpretation tool, inspired by Google DeepDream, that can be used to gain some physical insight into what the CNN sees.
|Event Type:||Workshop / Seminar|
|Source:||Happening @ Michigan from Department of Physics, HEP - Astro Seminars|