3 papers
astro-ph.IM2024
ANNZ+: an enhanced photometric redshift estimation algorithm with applications on the PAU Survey
Imdad Mahmud Pathi, John Y. H. Soo, Mao Jie Wee +16
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 est…
astro-ph.GA2024
The PAU Survey: The quasar UV and Ly luminosity functions at
Alberto Torralba-Torregrosa, Pablo Renard, Daniele Spinoso +17
We present the Lyman- (Ly) and ultraviolet (UV) luminosity function (LF), in bins of redshift, of quasars selected in the Physics of the Accelerating Universe Survey (PAUS)…
astro-ph.GA2024
The PAU Survey: galaxy stellar population properties estimates with narrowband data
Benjamin Csizi, Luca Tortorelli, MaÅgorzata Siudek +17
Narrowband galaxy surveys have recently gained interest as a promising method to achieve the necessary accuracy on the photometric redshift estimate of individual galaxies for stag…