Aims. We examine the influence of nebular continuous and line emission in high-redshift
star forming galaxies on determinations of their age, formation redshift, and other properties …

Context. Photometric redshifts (photo-z's) have become an essential tool in extragalactic
astronomy. Many current and upcoming observing programmes require great accuracy of …

Abstract galev (GALaxy EVolution) evolutionary synthesis models describe the evolution of
stellar populations in general, of star clusters as well as of galaxies, both in terms of resolved …

We conduct a comprehensive study of the effects of incorporating galaxy morphology
information in photometric redshift estimation. Using machine learning methods, we assess …

We present a new approach to the problem of estimating the redshift of galaxies from
photometric data. The approach uses a genetic algorithm combined with non-linear …

We present an efficient Bayesian method for estimating individual photometric redshifts and
galaxy properties under a pretrained population model (pop-cosmos) that was calibrated …

Abstract annz is a fast and simple algorithm which utilises artificial neural networks (ANNs),
it was known as one of the pioneers of machine learning approaches to photometric redshift …

A photometric redshift provides an estimate for the distance of an astronomical object, such
as a galaxy or quasar, which is a powerful statistical tool for studies of evolutionary …

The initial principles of a method for analyzing the spatial distribution of visible matter in the
universe with structures on size scales of thousands of Mpc are discussed. This method is …

We present results of using individual galaxies' redshift probability information derived from
a photometric redshift (photo-z) algorithm, SPIDERz, to identify potential catastrophic outliers …