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 fNL. 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 fNL, however, are fully degenerate with the local PNG bias parameter bϕ, 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 bϕ, building on the findings of Fondi et al. 2024. We find a distribution with mean p̅ ≃ 1.4 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 fNL = -3.3±9.2.
| Original language | English |
|---|---|
| Article number | 062 |
| Number of pages | 22 |
| Journal | Journal of Cosmology and Astroparticle Physics |
| Volume | 2026 |
| Issue number | 06 |
| DOIs | |
| Publication status | Published - 22 Jun 2026 |
Keywords
- astro-ph.CO
- cosmological parameters from LSS
- cosmological simulations
- non-gaussianity
- redshift surveys
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