The Likelihood Ratio as a tool for Radio Continuum Surveys with SKA precursor telescopes
Kim McAlpine, Dan J.B. Smith, Matthew J. Jarvis, David G. Bonfield,, Simone Fleuren

TL;DR
This study evaluates the effectiveness of the likelihood ratio method for identifying optical and infrared counterparts in radio continuum surveys with SKA precursor telescopes, analyzing how resolution and data depth affect matching completeness.
Contribution
It demonstrates how resolution degradation impacts counterpart identification and assesses the method's robustness across different survey depths and resolutions.
Findings
Decreasing resolution from 6 to 15 arcsec reduces matching completeness by 3-7%.
Matching with shallower infrared data drops the identification fraction from 89% to 47%.
Further resolution decrease does not significantly affect completeness at shallower infrared limits.
Abstract
In this paper we investigate the performance of the likelihood ratio method as a tool for identifying optical and infrared counterparts to proposed radio continuum surveys with SKA precursor and pathfinder telescopes. We present a comparison of the infrared counterparts identified by the likelihood ratio in the VISTA Deep Extragalactic Observations (VIDEO) survey to radio observations with 6, 10 and 15 arcsec resolution. We cross-match a deep radio catalogue consisting of radio sources with peak flux density 60 Jy with deep near-infrared data limited to 22.6. Comparing the infrared counterparts from this procedure to those obtained when cross-matching a set of simulated lower resolution radio catalogues indicates that degrading the resolution from 6 arcsec to 10 and 15 arcsec decreases the completeness of the cross-matched catalogue by approximately 3…
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