Detection of cross-correlation between CMB Lensing and low-density points
Abstract
Low Density Points (LDPs, \citet{2019ApJ...874....7D}), obtained by removing high-density regions of observed galaxies, can trace the Large-Scale Structures (LSSs) of the universe. In particular, it offers an intriguing opportunity to detect weak gravitational lensing from low-density regions. In this work, we investigate tomographic cross-correlation between Planck CMB lensing maps and LDP-traced LSSs, where LDPs are constructed from the DR8 data release of the DESI legacy imaging survey, with about - galaxies. We find that, due to the large sky coverage (20,000 deg) and large redshift depth (), a significant detection (--) of the CMB lensing-LDP cross-correlation in all six redshift bins can be achieved, with a total significance of over . Moreover, the measurements are in good agreement with a theoretical template constructed from our numerical simulation in the WMAP 9-year CDM cosmology. A scaling factor for the lensing amplitude is constrained to for , for and for , with the r-band absolute magnitude cut of for LDP selection. A variety of tests have been performed to check the detection reliability, against variations in LDP samples and galaxy magnitude cuts, masks, CMB lensing maps, multipole cuts, sky regions, and photo-z bias. We also perform a cross-correlation measurement between CMB lensing and galaxy number density, which is consistent with the CMB lensing-LDP cross-correlation. This work therefore further convincingly demonstrates that LDP is a competitive tracer of LSS.
Keywords
Cite
@article{arxiv.2107.08694,
title = {Detection of cross-correlation between CMB Lensing and low-density points},
author = {Fuyu Dong and Pengjie Zhang and Le Zhang and Ji Yao and Zeyang Sun and Changbom Park and Xiaohu Yang},
journal= {arXiv preprint arXiv:2107.08694},
year = {2021}
}
Comments
18 pages, 11 figures; accepted by ApJ