The LOFAR Two-metre Sky Survey Deep Fields -- Data Release 1: IV. Photometric redshifts and stellar masses
K. J. Duncan, R. Kondapally, M. J. I. Brown, M. Bonato, P.N. Best, H., J. A. R\"ottgering, M. Bondi, R. A. A. Bowler, R. K. Cochrane, G. G\"urkan,, M. J. Hardcastle, M. J. Jarvis, M. Kunert-Bajraszewska, S. K. Leslie, K., Ma{\l}ek, L. K. Morabito, S. P. O'Sullivan, I. Prandoni

TL;DR
This paper presents photometric redshift estimates for over 7 million sources in three deep LOFAR radio survey fields, combining template fitting and machine learning, with results validated against spectroscopic data and stellar mass functions.
Contribution
It introduces a hybrid photometric redshift methodology optimized for radio-selected sources, achieving high accuracy and low outlier fractions across multiple deep survey fields.
Findings
Photometric redshifts have a scatter of 1.6-2% for galaxies and 6.4-7% for AGN.
Outlier fractions are 1.5-1.8% for galaxies and 18-22% for AGN.
Stellar mass estimates are consistent with previous literature and validated across fields.
Abstract
The Low Frequency Array (LOFAR) Two-metre Sky Survey (LoTSS) is a sensitive, high-resolution 120-168 MHz survey split across multiple tiers over the northern sky. The first LoTSS Deep Fields data release consists of deep radio continuum imaging at 150 MHz of the Bo\"{o}tes, European Large Area Infrared Space Observatory Survey-North 1 (ELAIS-N1), and Lockman Hole fields, down to rms sensitivities of 32, 20, and 22 Jy beam, respectively. In this paper we present consistent photometric redshift (photo-) estimates for the optical source catalogues in all three fields - totalling over 7 million sources ( million after limiting to regions with the best photometric coverage). Our photo- estimation uses a hybrid methodology that combines template fitting and machine learning and is optimised to produce the best possible performance for the radio continuum…
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