Detection of cross-correlation between CMB Lensing and low-density points
Fuyu Dong, Pengjie Zhang, Le Zhang, Ji Yao, Zeyang Sun, Changbom Park,, Xiaohu Yang

TL;DR
This study detects a significant cross-correlation between CMB lensing maps and low-density points from galaxy surveys, confirming LDPs as effective tracers of large-scale structures in the universe.
Contribution
It presents the first high-significance detection of CMB lensing-LDP cross-correlation across multiple redshift bins using DESI data, validating LDPs as competitive large-scale structure tracers.
Findings
Achieved 10-30 sigma detection significance across six redshift bins.
Measured lensing amplitude scaling factors consistent with theoretical models.
Confirmed robustness of detection against various systematic tests.
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…
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Taxonomy
TopicsGalaxies: Formation, Evolution, Phenomena · Cosmology and Gravitation Theories · Adaptive optics and wavefront sensing
