Improved High-z QSO Candidate Seleciton Using Ukidss And PQ/NEAT Survey Data.

Details Improved High-z QSO Candidate Seleciton Using Ukidss And PQ/NEAT Survey Data. Improved High-z QSO Candidate Seleciton Using Ukidss And PQ/NEAT Survey Data.

Jan 2009

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2009aas...21344706g&link_type=abstract

American Astronomical Society, AAS Meeting #213, #447.06; Bulletin of the American Astronomical Society, Vol. 41, p.334

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Quasars remain one of the most powerful probes of the early universe, providing measurements and constraints for reionization, early structure formation, and early chemical enrichment, all of which become sharper as the quasar redshift increases. We present a methodology for finding quasars at z=6.8-8 color selection using the four near-infrared colors (Y, J, H, K) from the UKIDSS Large Area Survey. Our survey uses the publicly available UKIDSS DR1 which covers 190 deg2 of the sky to a depth of Y = 20.23 magnitudes (Vega). This selection technique is unique in that it relies only on color-selection in the near infrared, with the additional requirement that the object be undetected in any optical band; at these redshifts, we do not expect to detect any optical light. We have simulating the spectra of high redshift quasars via Monte Carlo methods and determined the location of their locus in Y,J,H,K color-color space. These simulations include the most up-to-date measurements of the optical depth to Ly-a and Ly-b photons as functions of redshift. We applied color cuts around these loci to discriminate potential quasar candidates from stars. We eliminate any candidates detected after cross matching with the Sloan Digital Sky Survey.
As we demonstrated in previous work, the largest limitation to high-redshift quasar surveys is the depth of the available optical surveys, such as SDSS. We present a remedy to this by utilizing the multi-epoch observations from the Palomar Quest Digital Sky survey, supplemented with equivalent NEAT data, whose co-added images in the red RG-610 filter can reach up to 2 magnitudes deeper than SDSS to further eliminate any detected sources.

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