%0 Generic %1 schindler2017extremely %A Schindler, Jan-Torge %A Fan, Xiaohui %A McGreer, Ian. D. %A Yang, Qian %A Wu, Jin %A Jiang, Linhua %A Green, Richard %D 2017 %K bright high-z quasar selection %T The Extremely Luminous Quasar Survey (ELQS) in the SDSS footprint I.: Infrared Based Candidate Selection %U http://arxiv.org/abs/1712.01205 %X Studies of the most luminous quasars at high redshift directly probe the evolution of the most massive black holes in the early Universe and their connection to massive galaxy formation. However, extremely luminous quasars at high redshift are very rare objects. Only wide area surveys have a chance to constrain their population. The Sloan Digital Sky Survey (SDSS) has so far provided the most widely adopted measurements of the quasar luminosity function (QLF) at $z>3$. However, a careful re-examination of the SDSS quasar sample revealed that the SDSS quasar selection is in fact missing a significant fraction of $z\gtrsim3$ quasars at the brightest end. We have identified the purely optical color selection of SDSS, where quasars at these redshifts are strongly contaminated by late-type dwarfs, and the spectroscopic incompleteness of the SDSS footprint as the main reasons. Therefore we have designed the Extremely Luminous Quasar Survey (ELQS), based on a novel near-infrared JKW2 color cut using WISE AllWISE and 2MASS all-sky photometry, to yield high completeness for very bright ($m_i < 18.0$) quasars in the redshift range of $3.0złeq5.0$. It effectively uses random forest machine-learning algorithms on SDSS and WISE photometry for quasar-star classification and photometric redshift estimation. The ELQS will spectroscopically follow-up $230$ new quasar candidates in an area of $\sim12000\,deg^2$ in the SDSS footprint, to obtain a well-defined and complete quasars sample for an accurate measurement of the bright-end quasar luminosity function at $3.0łeq złeq5.0$. In this paper we present the quasar selection algorithm and the quasar candidate catalog.

@misc{schindler2017extremely, abstract = {Studies of the most luminous quasars at high redshift directly probe the evolution of the most massive black holes in the early Universe and their connection to massive galaxy formation. However, extremely luminous quasars at high redshift are very rare objects. Only wide area surveys have a chance to constrain their population. The Sloan Digital Sky Survey (SDSS) has so far provided the most widely adopted measurements of the quasar luminosity function (QLF) at $z>3$. However, a careful re-examination of the SDSS quasar sample revealed that the SDSS quasar selection is in fact missing a significant fraction of $z\gtrsim3$ quasars at the brightest end. We have identified the purely optical color selection of SDSS, where quasars at these redshifts are strongly contaminated by late-type dwarfs, and the spectroscopic incompleteness of the SDSS footprint as the main reasons. Therefore we have designed the Extremely Luminous Quasar Survey (ELQS), based on a novel near-infrared JKW2 color cut using WISE AllWISE and 2MASS all-sky photometry, to yield high completeness for very bright ($m_{\rm{i}} < 18.0$) quasars in the redshift range of $3.0\leq z\leq5.0$. It effectively uses random forest machine-learning algorithms on SDSS and WISE photometry for quasar-star classification and photometric redshift estimation. The ELQS will spectroscopically follow-up $\sim 230$ new quasar candidates in an area of $\sim12000\,\rm{deg}^2$ in the SDSS footprint, to obtain a well-defined and complete quasars sample for an accurate measurement of the bright-end quasar luminosity function at $3.0\leq z\leq5.0$. In this paper we present the quasar selection algorithm and the quasar candidate catalog.}, added-at = {2017-12-05T09:37:25.000+0100}, author = {Schindler, Jan-Torge and Fan, Xiaohui and McGreer, Ian. D. and Yang, Qian and Wu, Jin and Jiang, Linhua and Green, Richard}, biburl = {https://www.bibsonomy.org/bibtex/20ce346406b79d96e120c2990c0273f91/miki}, description = {[1712.01205] The Extremely Luminous Quasar Survey (ELQS) in the SDSS footprint I.: Infrared Based Candidate Selection}, interhash = {66431a4db9dca49d4305e3f79e83a808}, intrahash = {0ce346406b79d96e120c2990c0273f91}, keywords = {bright high-z quasar selection}, note = {cite arxiv:1712.01205Comment: 16 pages, 8 figures, 9 tables; ApJ in press}, timestamp = {2017-12-05T09:37:25.000+0100}, title = {The Extremely Luminous Quasar Survey (ELQS) in the SDSS footprint I.: Infrared Based Candidate Selection}, url = {http://arxiv.org/abs/1712.01205}, year = 2017 }