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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.
The intergalactic medium (IGM) at $zsim$ 5 to 6 is largely ionized, and yet the main source for the IGM ionization in the early universe is uncertain. Of the possible contributors are faint quasars with $-26 lesssim M_{rm 1450} lesssim -23$, but thei
Faint $zsim5$ quasars with $M_{1450}sim-23$ mag are known to be the potentially important contributors to the ultraviolet ionizing background in the post-reionization era. However, their number density has not been well determined, making it difficul
We investigate whether stellar dust sources i.e. asymptotic giant branch (AGB) stars and supernovae (SNe) can account for dust detected in 5<z<6.5 quasars (QSOs). We calculate the required dust yields per AGB star and per SN using the dust masses of
Deep near-infrared photometric surveys are efficient in identifying high-redshift galaxies, however they can be prone to systematic errors in photometric redshift. This is particularly salient when there is limited sampling of key spectral features o
We present a study of the galaxy environment of 9 strong HI+CIV absorption line systems ($16.2<{rm log}(N({rm HI}))<21.2$) spanning a wide range in metallicity at $zsim4-5$, using MUSE integral field and X-Shooter spectroscopic data collected in a $z