Constraining primordial non-Gaussianity from DESI quasar targets and Planck CMB lensing
Alex Krolewski, Will J. Percival, Simone Ferraro, Edmond Chaussidon,, Mehdi Rezaie, Jessica Nicole Aguilar, Steven Ahlen, David Brooks, Kyle, Dawson, Axel de la Macorra, Peter Doel, Kevin Fanning, Andreu Font-Ribera,, Satya Gontcho A Gontcho, Julien Guy, Klaus Honscheid

TL;DR
This study measures the cross-correlation between DESI quasars and Planck CMB lensing to constrain primordial non-Gaussianity, achieving a result consistent with Gaussian initial conditions and highlighting the importance of systematics mitigation.
Contribution
It presents the first large-scale cross-correlation analysis of DESI quasars with Planck lensing to constrain primordial non-Gaussianity, incorporating advanced systematic mitigation techniques.
Findings
Measured $f_{NL} = -26^{+45}_{-40}$, consistent with Gaussianity.
Demonstrated that systematics correction improves large-scale power estimates.
Future spectroscopic data can significantly tighten $f_{NL}$ constraints.
Abstract
We detect the cross-correlation between 2.7 million DESI quasar targets across 14,700 deg (180 quasars deg) and Planck 2018 CMB lensing at 30. We use the cross-correlation on very large scales to constrain local primordial non-Gaussianity via the scale dependence of quasar bias. The DESI quasar targets lie at an effective redshift of 1.51 and are separated into four imaging regions of varying depth and image quality. We select quasar targets from Legacy Survey DR9 imaging, apply additional flux and photometric redshift cuts to improve the purity and reduce the fraction of unclassified redshifts, and use early DESI spectroscopy of 194,000 quasar targets to determine their redshift distribution and stellar contamination fraction (2.6%). Due to significant excess large-scale power in the quasar autocorrelation, we apply weights to mitigate contamination from…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsGalaxies: Formation, Evolution, Phenomena · CCD and CMOS Imaging Sensors · Remote Sensing in Agriculture
