%0 Generic %1 jeon2016infrared %A Jeon, Yiseul %A Im, Myungshin %A Pak, Soojong %A Hyun, Minhee %A Kim, Sanghyuk %A Kim, Yongjung %A Lee, Hye-In %A Park, Woojin %D 2016 %K high-z qso selection %T The Infrared Medium-Deep Survey. V. A New Selection Strategy for Quasars at z > 5 based on Medium-Band Observation with SQUEAN %U http://arxiv.org/abs/1602.02236 %X Multiple color selection techniques have been successful in identifying quasars from wide-field broad-band imaging survey data. Among the quasars that have been discovered so far, however, there is a redshift gap at $5 łesssim z 5.7$ due to the limitations of filter sets in previous studies. In this work, we present a new selection technique of high redshift quasars using a sequence of medium-band filters: nine filters with central wavelengths from 625 to 1025 nm and bandwidths of 50 nm. Photometry with these medium-bands traces the spectral energy distribution (SED) of a source, similar to spectroscopy with resolution R $\sim$ 15. By conducting medium-band observations of high redshift quasars at 4.7 $łeq$ z $łeq$ 6.0 and brown dwarfs (the main contaminants in high redshift quasar selection) using the SED camera for QUasars in EArly uNiverse (SQUEAN) on the 2.1-m telescope at the McDonald Observatory, we show that these medium-band filters are superior to multi-color broad-band color section in separating high redshift quasars from brown dwarfs. In addition, we show that redshifts of high redshift quasars can be determined to an accuracy of $\Deltaz/(1+z) = 0.002$ -- $0.026$. The selection technique can be extended to z $\sim$ 7, suggesting that the medium-band observation can be powerful in identifying quasars even at the re-ionization epoch.

@misc{jeon2016infrared, abstract = {Multiple color selection techniques have been successful in identifying quasars from wide-field broad-band imaging survey data. Among the quasars that have been discovered so far, however, there is a redshift gap at $5 \lesssim {\rm z} \lesssim 5.7$ due to the limitations of filter sets in previous studies. In this work, we present a new selection technique of high redshift quasars using a sequence of medium-band filters: nine filters with central wavelengths from 625 to 1025 nm and bandwidths of 50 nm. Photometry with these medium-bands traces the spectral energy distribution (SED) of a source, similar to spectroscopy with resolution R $\sim$ 15. By conducting medium-band observations of high redshift quasars at 4.7 $\leq$ z $\leq$ 6.0 and brown dwarfs (the main contaminants in high redshift quasar selection) using the SED camera for QUasars in EArly uNiverse (SQUEAN) on the 2.1-m telescope at the McDonald Observatory, we show that these medium-band filters are superior to multi-color broad-band color section in separating high redshift quasars from brown dwarfs. In addition, we show that redshifts of high redshift quasars can be determined to an accuracy of $\Delta{\rm z}/(1+{\rm z}) = 0.002$ -- $0.026$. The selection technique can be extended to z $\sim$ 7, suggesting that the medium-band observation can be powerful in identifying quasars even at the re-ionization epoch.}, added-at = {2016-02-09T09:50:57.000+0100}, author = {Jeon, Yiseul and Im, Myungshin and Pak, Soojong and Hyun, Minhee and Kim, Sanghyuk and Kim, Yongjung and Lee, Hye-In and Park, Woojin}, biburl = {https://www.bibsonomy.org/bibtex/2d239f03452c52e5447d44df15212300a/miki}, description = {[1602.02236] The Infrared Medium-Deep Survey. V. A New Selection Strategy for Quasars at z > 5 based on Medium-Band Observation with SQUEAN}, interhash = {6c78f4259596f093a7ce28ccd15d8fdc}, intrahash = {d239f03452c52e5447d44df15212300a}, keywords = {high-z qso selection}, note = {cite arxiv:1602.02236Comment: 12 pages, 10 figures, 4 tables, accepted for publication in Journal of the Korean Astronomical Society}, timestamp = {2016-02-09T09:50:57.000+0100}, title = {The Infrared Medium-Deep Survey. V. A New Selection Strategy for Quasars at z > 5 based on Medium-Band Observation with SQUEAN}, url = {http://arxiv.org/abs/1602.02236}, year = 2016 }