11 citations · 11 across the 1 of their papers we have counts for
2 papers
astro-ph.GA2023
The miniJPAS survey: Maximising the photo-z accuracy from multi-survey datasets with probability conflation
A. Hernán-Caballero, M. Akhlaghi, C. López-Sanjuan +35
We present a new method for obtaining photometric redshifts (photo-z) for sources observed by multiple photometric surveys using a combination (conflation) of the redshift probabil…
astro-ph.GA2023★ 11 cited
The miniJPAS survey quasar selection III: Classification with artificial neural networks and hybridisation
G. Martínez-Solaeche, Carolina Queiroz, R. M. González Delgado +28
This paper is part of large effort within the J-PAS collaboration that aims to classify point-like sources in miniJPAS, which were observed in 60 optical bands over 1 deg$^2…