Boutsia, KonstantinaKonstantinaBoutsiaGRAZIAN, AndreaAndreaGRAZIANCALDERONE, GIORGIOGIORGIOCALDERONECRISTIANI, StefanoStefanoCRISTIANICUPANI, GuidoGuidoCUPANIGUARNERI, FrancescoFrancescoGUARNERIFONTANOT, FabioFabioFONTANOTAmorin, RicardoRicardoAmorinD'ODORICO, ValentinaValentinaD'ODORICOGIALLONGO, EmanueleEmanueleGIALLONGOSalvato, MaraMaraSalvatoOmizzolo, AlessandroAlessandroOmizzoloROMANO, MICHAELMICHAELROMANOMENCI, NicolaNicolaMENCI2022-02-182022-02-1820200067-0049http://hdl.handle.net/20.500.12386/31420We present the results of the spectroscopic follow-up of the QUasars as BRIght beacons for Cosmology in the Southern Hemisphere (QUBRICS; Calderone et al. 2019) survey. The selection method is based on a machine-learning approach applied to photometric catalogs, covering an area of ∼12,400 deg<SUP>2</SUP> in the Southern Hemisphere. The spectroscopic observations started in 2018 and identified 55 new, high-redshift (z ≥ 2.5), bright (i ≤ 18) quasi-stellar objects (QSOs), with the catalog published in late 2019. Here we report the current status of the survey, bringing the total number of bright QSOs at z ≥ 2.5 identified by QUBRICS to 224. The success rate of the QUBRICS selection method, in its most recent training, is estimated to be 68%. The predominant contaminant turns out to be lower-z QSOs at z < 2.5. This survey provides a unique sample of bright QSOs at high z available for a number of cosmological investigations. In particular, carrying out the redshift drift measurements (Sandage Test) in the Southern Hemisphere, using the High Resolution Spectrograph at the 39 m Extremely Large Telescope appears to be possible with less than 2500 hr of observations spread over 30 targets in 25 yr.STAMPAenArticle10.3847/1538-4365/abafc12-s2.0-85092537857WOS:000576490200001https://iopscience.iop.org/article/10.3847/1538-4365/abafc1https://api.elsevier.com/content/abstract/scopus_id/850925378572020ApJS..250...26BFIS/05 - ASTRONOMIA E ASTROFISICAERC sectors::Physical Sciences and Engineering::PE9 Universe sciences: astro-physics/chemistry/biology; solar systems; stellar, galactic and extragalactic astronomy, planetary systems, cosmology, space science, instrumentation::PE9_16 Very large data bases: archiving, handling and analysis