Since more than 70 years ago, the colours of galaxies derived from flux measurements at
different wavelengths have been used to estimate their cosmological distances. Such …

Astronomers are increasingly compelled to chart the universe with ever greater precision.
Projects like the Sloan Digital Sky Survey (SDSS), Pan-STARRS, and the Large Synoptic …

Photometric redshifts are a key component of many science objectives in the Hyper Suprime-
Cam Subaru Strategic Program (HSC-SSP). In this paper, we describe and compare the …

We developed a deep convolutional neural network (CNN), used as a classifier, to estimate
photometric redshifts and associated probability distribution functions (PDF) for galaxies in …

We present results from the Cosmic Assembly Near-infrared Deep Extragalactic Legacy
Survey (CANDELS) photometric redshift methods investigation. In this investigation, the …

Abstract Machine learning (ML) algorithms have become increasingly important in the
analysis of astronomical data. However, because most ML algorithms are not designed to …

Galactic archaeology based on star counts is instrumental to reconstruct the past mass
assembly of Local Group galaxies. The development of new observing techniques and data …

Context. The need to analyze the available large synoptic multi-band surveys drives the
development of new data-analysis methods. Photometric redshift estimation is one field of …

With the growth of large photometric surveys, accurately estimating photometric redshifts,
preferably as a probability density function (PDF), and fully understanding the implicit …

Key cosmological applications require the three-dimensional (3D) galaxy distribution on the
entire celestial sphere. These include measuring the gravitational pull on the Local Group …