Signature of primordial non-Gaussianity of phi^3-type in the mass function and bias of dark matter haloes
Vincent Desjacques, Uros Seljak
TL;DR
This study investigates local cubic primordial non-Gaussianity through the cubic coupling g_NL in the relation Phi = phi + g_NL phi^3 and its impact on the halo mass function and large-scale bias using large N-body simulations. The authors develop and test analytic forms for non-Gaussian corrections to both the halo mass function and the bias, finding good agreement for the mass function but a suppressed, not fully predicted, scale-dependent bias that requires empirical corrections (epsilon_kappa, epsilon_I). They quantify current observational constraints on g_NL from large-scale structure and forecast substantial improvements with future surveys and CMB data, highlighting the potential to test curvaton- and multi-field-inspired scenarios. Overall, the work provides a practical framework for incorporating g_NL into halo statistics and demonstrates that forthcoming data could robustly probe cubic-type non-Gaussianity.
Abstract
We explore the effect of a cubic correction gnl*phi^3 on the mass function and bias of dark matter haloes extracted from a series of large N-body simulations and compare it to theoretical predictions. Such cubic terms can be motivated in scenarios like the curvaton model, in which a large cubic correction can be produced while simultaneously keeping the quadratic fnl*phi^2 correction small. The deviation from the Gaussian halo mass function is in reasonable agreement with the theoretical predictions. The scale-dependent bias correction Delta b_kappa(k,gnl) measured from the auto- and cross-power spectrum of haloes, is similar to the correction in fnl models, but the amplitude is lower than theoretical expectations. Using the compilation of LSS data in Slosar et al. (2008), we obtain for the first time a limit on gnl of -3.5*10^5 < gnl < +8.2*10^5 (at 95% CL). This limit will improve with the future LSS data by 1-2 orders of magnitude, which should test many of the scenarios of this type.
