Quijote-PNG: Quasi-maximum Likelihood Estimation of Primordial Non-Gaussianity in the Nonlinear Halo Density Field

Jung, G; Karagiannis, D; Liguori, M; Baldi, M; Coulton, WR; Jamieson, D; Verde, L; Villaescusa-Navarro, F; Wandelt, BD

Journal article

Quijote-PNG: Quasi-maximum Likelihood Estimation of Primordial Non-Gaussianity in the Nonlinear Halo Density Field

Abstract:: International audienceWe study primordial non-Gaussian signatures in the redshift-space halo field on non-linear scales, using a quasi-maximum likelihood estimator based on optimally compressed power spectrum and modal bispectrum statistics. We train and validate the estimator on a suite of halo catalogues constructed from the Quijote-PNG N-body simulations, which we release to accompany this paper. We verify its unbiasedness and near optimality, for the three main types of primordial non-Gaussianity (PNG): local, equilateral, and orthogonal. We compare the modal bispectrum expansion with a $k$-binning approach, showing that the former allows for faster convergence of numerical derivatives in the computation of the score-function, thus leading to better final constraints. We find, in agreement with previous studies, that the local PNG signal in the halo-field is dominated by the scale-dependent bias signature on large scales and saturates at $k \sim 0.2~h\,\mathrm{Mpc}^{-1}$, whereas the small-scale bispectrum is the main source of information for equilateral and orthogonal PNG. Combining power spectrum and bispectrum on non-linear scales plays an important role in breaking degeneracies between cosmological and PNG parameters; such degeneracies remain however strong for equilateral PNG. We forecast that PNG parameters can be constrained with $\Delta f_\mathrm{NL}^\mathrm{local} = 45$, $\Delta f_\mathrm{NL}^\mathrm{equil} = 570$, $\Delta f_\mathrm{NL}^\mathrm{ortho} = 110$, on a cubic volume of $1 \left({ {\rm Gpc}/{ {\rm h}}} \right)^3$, at $z = 1$, considering scales up to $k_\mathrm{max} = 0.5~\mathrm{Mpc}^{-1}$

Publication status:: Published

Peer review status:: Peer reviewed

Actions

Email

Email this record

Send the bibliographic details of this record to your email address.

Your Email
Please enter the email address that the record information will be sent to.

-
Your message (optional)
Please add any additional information to be included within the email.
Share
Cite

Cite this record

APA Style

Jung, G., Karagiannis, D., Liguori, M., Baldi, M., Coulton, W. R., Jamieson, D., Verde, L., Villaescusa-Navarro, F., & Wandelt, B. D. (2023). Quijote-PNG: Quasi-maximum Likelihood Estimation of Primordial Non-Gaussianity in the Nonlinear Halo Density Field. The Astrophysical Journal, 948(2), 135–135.

MLA Style

Jung, G, et al. “Quijote-PNG: Quasi-Maximum Likelihood Estimation of Primordial Non-Gaussianity in the Nonlinear Halo Density Field.” The Astrophysical Journal, vol. 948, no. 2, 2023, pp. 135–35.

Chicago Style

Jung, G, D Karagiannis, M Liguori, et al. 2023. “Quijote-PNG: Quasi-Maximum Likelihood Estimation of Primordial Non-Gaussianity in the Nonlinear Halo Density Field.” The Astrophysical Journal 948 (2): 135–35.
Print