Assembly bias and local Primordial non-Gaussianity from DESI DR1 Quasars

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Authors: Emanuele Fondi, L. Verde, E. Chaussidon, Aguilar Jl., Steven P. Ahlen, S. BenZvi, D Bianchi, D. Brooks, T. Claybaugh, Andrei Cuceu, A. de la Macorra, P. Doel
+31 more S. Ferraro, J. E. Forero-Romero, ENRIQUE GAZTAÑAGA, Satya Gontcho A Gontcho, G. Gutierrez, H. K. Herrera-Alcantar, Dragan Huterer A, Mustapha Ishak, R. Joyce, A. Kremin, O. Lahav, C. Lamman, M. Landriau, Laurent Le Guillou, Marc Manera, Paul Martini, Aaron Meisner, R. Miquel, S. Nadathur, N. Palanque‐Delabrouille, Will J. Percival, Francisco Prada, Ignasi Pérez-Ràfols, G. Rossi, Lado Samushia, E. Sánchez, D. Schlegel, D. Sprayberry, G. Tarlé, B. A. Weaver, H. Zou
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Abstract

The analysis of the large-scale clustering of quasars (QSO) observed by the Dark Energy Spectroscopic Instrument (DESI) represents a promising avenue for constraining local Primordial non-Gaussianity (PNG), parameterized by $f_{\rm NL}$. The signal to be constrained is the scale-dependent bias induced in the 2-point clustering of the considered tracer sample. The resulting constraints on $f_{\rm NL}$, however, are fully degenerate with the local PNG bias parameter $b_ϕ$, dependent on the assembly bias parameter $p$. Using IllustrisTNG hydrodynamical simulations, we select a QSO sample reflecting the selection criteria and properties of DESI QSOs, and provide a robust prior for $p$, and thus for $b_ϕ$, building on the findings of Fondi et al. 2024. We find a distribution with mean $\bar{p}\simeq1.4$ with weak redshift dependence, stable to selection noise and consistent with the expected recent merger history typical of quasar-hosting halos. By comparing with the CAMELS simulations we demonstrate that this prior is robust to astrophysical assumptions and cosmic variance. Finally, applying this prior to the DESI DR1 dataset, we derive updated constraints on local PNG, obtaining $f_{\rm NL}=-3.3\pm9.2$.

Fields of Study & Subjects

Cosmology and Gravitation Theories Galaxies: Formation Evolution Phenomena Dark Matter and Cosmic Phenomena

Publication details

Journal / source
arXiv (Cornell University)
Publication date
12 February 2026
Language
EN
Document type
Preprint