Abstract

Being observed only one billion years after the Big Bang,z∼ 7 quasars are a unique opportunity for exploring the early Universe. However, only twoz∼ 7 quasars have been discovered in near-infrared surveys: the quasars ULAS J1120+0641 and ULAS J1342+0928 atz= 7.09 andz= 7.54, respectively. The rarity of these distant objects, combined with the difficulty of distinguishing them from the much more numerous population of Galactic low-mass stars, requires using efficient selection procedures. The Canada-France High-zQuasar Survey in the Near Infrared (CFHQSIR) has been carried out to search forz∼ 7 quasars using near-infrared and optical imaging from the Canada-France Hawaii Telescope (CFHT). Our data consist of ∼130 deg2of Wide-field Infrared Camera (WIRCam)Y-band images up to a 5σlimit ofYAB∼ 22.4 distributed over the Canada-France-Hawaii Telescope Legacy Survey (CFHTLS) Wide fields. After follow-up observations inJband, a first photometric selection based on simple colour criteria led us to identify 36 sources with measured high-redshift quasar colours. However, we expect to detect only ∼2 quasars in the redshift range 6.8 <z< 7.5 down to a rest-frame absolute magnitude ofM1450= −24.6. With the motivation of ranking our high-redshift quasar candidates in the best possible way, we developed an advanced classification method based on Bayesian formalism in which we model the high-redshift quasars and low-mass star populations. The model includes the colour diversity of the two populations and the variation in space density of the low-mass stars with Galactic latitude, and it is combined with our observational data. For each candidate, we compute the probability of being a high-redshift quasar rather than a low-mass star. This results in a refined list of the most promising candidates. Our Bayesian selection procedure has proven to be a powerful technique for identifying the best candidates of any photometrically selected sample of objects, and it is easily extendable to other surveys.

Highlights

  • Quasars reside at the centres of active galactic nuclei (AGNs) and are believed to be powered by mass accretion onto a supermassive black hole (SMBH)

  • Several scenarios for the formation of SMBHs seeds, including, for instance, remnants of Population III stars (e.g. Madau & Rees 2001; Volonteri et al 2003) or a direct collapse of gas in atomic cooling halos (DCBH, e.g. Visbal et al 2014; Smidt et al 2017) have been proposed, but they are widely debated, partly because known bright high-z quasars are likely to be the tip of an iceberg that is mainly composed of fainter quasars

  • Ongoing NIR surveys such as the United Kingdom Infrared Telescope (UKIRT) Infrared Deep Sky Survey (UKIDSS; Lawrence et al 2007), the Visible and Infrared Survey Telescope for Astronomy (VISTA) Kilodegree Infrared Galaxy (VIKING; Emerson et al 2004), the Panoramic Survey Telescope & Rapid Response System (PanSTARRS; Kaiser et al 2010), the Dark Energy Survey (DES; Dark Energy Survey Collaboration 2016), the VISTA Hemisphere Survey (VHS; McMahon et al 2013), and the Subaru HSC-SSP Survey with the Subaru High-z Exploration of LowLuminosity Quasars (SHELLQs) project (Miyazaki et al 2012; Matsuoka et al 2016) have started to increase the number of known z 6.5 quasars by employing filters centred on 1 μm

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Summary

Introduction

Quasars reside at the centres of active galactic nuclei (AGNs) and are believed to be powered by mass accretion onto a supermassive black hole (SMBH). Ongoing NIR surveys such as the United Kingdom Infrared Telescope (UKIRT) Infrared Deep Sky Survey (UKIDSS; Lawrence et al 2007), the Visible and Infrared Survey Telescope for Astronomy (VISTA) Kilodegree Infrared Galaxy (VIKING; Emerson et al 2004), the Panoramic Survey Telescope & Rapid Response System (PanSTARRS; Kaiser et al 2010), the Dark Energy Survey (DES; Dark Energy Survey Collaboration 2016), the VISTA Hemisphere Survey (VHS; McMahon et al 2013), and the Subaru HSC-SSP Survey with the Subaru High-z Exploration of LowLuminosity Quasars (SHELLQs) project (Miyazaki et al 2012; Matsuoka et al 2016) have started to increase the number of known z 6.5 quasars by employing filters centred on 1 μm The use of such data allowed Mortlock et al (2011) to discover the previous redshift record holder, ULAS J1120+0641 at z = 7.09, before it was superceded by ULAS J1342+0928 at z = 7.54, for which Bañados et al (2018) mined data from the UKIDSS Large Area Survey (Lawrence et al 2007), the Wide-field Infrared Survey Explorer (ALLWISE; Wright et al 2010), and the DECam Legacy Survey (DECaLS1).

Searching for high-z quasars in the CFHQSIR survey
CFHQSIR survey
Simulating the colours of quasars and low-mass stars
High-redshift quasars
Low-mass stars
Colour-selection completeness
Initial candidate selection
Bayesian classification method
Quasar population
Brown dwarf population
Probability of being a high-z quasar: simulations
Discussion and conclusions
Results
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