Pixel based galaxy morphology classification

Introduction

This is a project about morphological galaxies classification. The amazing point is that we're researching an algorithm to seperate background and sources for decreasing the pollution.

Dataset

Training data comes from Legacy Survey in DECaLS region and the model will be applied to out DECaLS region (MzLS and BASS project).

Labels

Mike Walmsley trained on DECaLS region with GZD-1/2/5 catalog and GZD-5 class tree with active learning and then form a more confident catalog called catalog_auto. I set a threshold (e.g. 0.5) on each question to split and get labels of each picture. The GZD-5 label tree showed as follows.

DECaLS introduction

• The Dark Energy Camera (DECam) on the Blanco 4m telescope, located at the Cerro Tololo Inter-American Observatory.

Architecture

• Simple CNN
• Dense Net
• Xception

Loss function

• Cross Entropy
• Focal loss

Else

Updating..

Here is the repository on Github