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Constraints on primordial non-Gaussianity from the cross-correlation of DESI Luminous Red Galaxies and Planck CMB lensing

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arxiv 2412.10279 v2 pith:5SMIQ3XA submitted 2024-12-13 astro-ph.CO

Constraints on primordial non-Gaussianity from the cross-correlation of DESI Luminous Red Galaxies and $Planck$ CMB lensing

J. R. Bermejo-Climent , R. Demina , A. Krolewski , E. Chaussidon , M. Rezaie , S. Ahlen , S. Bailey , D. Bianchi
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D. Brooks E. Burtin T. Claybaugh A. de la Macorra Arjun Dey P. Doel G. Farren S. Ferraro J. E. Forero-Romero E. Gazta\~naga S. Gontcho A Gontcho G. Gutierrez C. Hahn K. Honscheid C. Howlett R. Kehoe D. Kirkby T. Kisner M. Landriau L. Le Guillou M. E. Levi M. Manera A. Meisner R. Miquel J. Moustakas J. A. Newman G. Niz N. Palanque-Delabrouille W. J. Percival F. Prada I. P\'erez-R\`afols D. Rabinowitz A. J. Ross G. Rossi E. Sanchez D. Schlegel D. Sprayberry G. Tarl\'e B. A. Weaver M. White C. Y\`eche P. Zarrouk
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classification astro-ph.CO
keywords systematicslensingcross-correlationangulardesigalaxyautocorrelationbias
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abstract

We use the angular cross-correlation between a luminous red galaxy (LRG) sample from the Dark Energy Spectroscopic Instrument (DESI) Legacy Survey data release DR9 and the $Planck$ cosmic microwave background (CMB) lensing maps to constrain the local primordial non-Gaussianity parameter, $f_{\rm NL}$, using the scale-dependent galaxy bias effect. The galaxy sample covers approximately 40\% of the sky, contains galaxies up to redshift $z \sim 1.4$, and is calibrated with the LRG spectra that have been observed for DESI Year 1 (Y1). We apply a nonlinear imaging systematics treatment based on neural networks to remove observational effects that could potentially bias the $f_{\rm NL}$ measurement. Our measurement is performed without blinding, but the full analysis pipeline is tested with simulations including systematics. Using the two-point angular cross-correlation between LRG and CMB lensing only ($C_\ell^{\kappa G}$) we find $f_{\rm NL} = 39_{-38}^{+40}$ at 68% confidence level, and our result is robust in terms of systematics and cosmology assumptions. If we combine this information with the autocorrelation of LRG ($C_\ell^{GG}$) applying a $\ell_{\rm min}$ scale cut to limit the impact of systematics, we find $f_{\rm NL} = 24_{-21}^{+20}$ at 68% confidence level. Our results motivate the use of CMB lensing cross-correlations for measuring $f_{\rm NL}$ with future datasets given its stability in terms of observational systematics compared to the angular auto-correlation. Furthermore, performing accurate systematics mitigation is crucially important in order to achieve competitive constraints on $f_{\rm NL}$ from CMB lensing cross-correlation in combination with the tracers' autocorrelation.

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Forward citations

Cited by 7 Pith papers

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