Uncertain Photometric Redshifts with Deep Learning Methods [IMA]


The need for accurate photometric redshifts estimation is a topic that has fundamental importance in Astronomy, due to the necessity of efficiently obtaining redshift information without the need of spectroscopic analysis. We propose a method for determining accurate multimodal photo-z probability density functions (PDFs) using Mixture Density Networks (MDN) and Deep Convolutional Networks (DCN). A comparison with a Random Forest (RF) is performed.

Read this paper on arXiv…

A. DIsanto
Tue, 7 Mar 17

Comments: 4 pages, 1 figure, Astroinformatics 2016 conference proceeding