The Tianlai-WIYN North Celestial Cap Redshift Survey
Reza Ansari, Gabriela A. Marques, John P. Marriner, Olivier Perdereau, Elena Pinetti, Lily Robinthal, Albert Stebbins, Haoxuan Sun, Peter Timbie, Gregory S. Tucker, Eli Doyle, Jocelyn Chu, E. Revsen Karaalp, Xuelei Chen, Jixia Li, Fengquan Wu
TL;DR
This work delivers a low-redshift optical redshift catalog in the North Celestial Cap to support 21 cm HI intensity mapping with the Tianlai array. It details target selection from the NCCS photometry, WIYN Hydra spectroscopy, and two redshift-determination approaches, resulting in 898 galaxies with redshifts and 11 cluster candidates over a $\sim$30 deg$^2$ area. The authors construct a formal selection function, compare clustering to SDSS-based mocks via the 2-point correlation function and 3D distributions, and identify HI mass fractions to template the HI content for cross-correlation with radio observations. Cross-matches with Gaia and 2MASS validate star contamination levels and catalog completeness, reinforcing the reliability of the tNCCSz sample for HI mapping applications. Overall, the study demonstrates the viability of optical redshift templates to calibrate and interpret low-$z$ HI intensity mapping from the Tianlai pathfinder and informs the distribution of HI within the surveyed volume.
Abstract
We present the results of a small, low redshift spectroscopic survey of galaxies within 3 degrees of the North Celestial Pole (NCP) selected using V-band photometry obtained from the North Celestial Cap Survey (NCCS) (Gorbikov & Brosch 2014). The purpose of the current survey is to create a redshift space template for 21 cm emission from neutral hydrogen with which to correlate radio line intensity observations by the Tianlai dish and cylinder interferometers. A total of 898 redshifts were obtained from the 2102 extended objects in the NCCS with m_V < 19 in the survey area. After accounting for extinction, the survey geometry and selection effects, the number density and clustering pattern of galaxies in the redshift catalog are consistent with other low redshift surveys. We were also able to identify 11 galaxy cluster candidates from this redshift catalog.
