Full-shape analysis with simulation-based priors: constraints on single field inflation from BOSS

التفاصيل البيبلوغرافية
العنوان: Full-shape analysis with simulation-based priors: constraints on single field inflation from BOSS
المؤلفون: Ivanov, Mikhail M., Cuesta-Lazaro, Carolina, Mishra-Sharma, Siddharth, Obuljen, Andrej, Toomey, Michael W.
سنة النشر: 2024
المجموعة: Astrophysics
High Energy Physics - Phenomenology
High Energy Physics - Theory
مصطلحات موضوعية: Astrophysics - Cosmology and Nongalactic Astrophysics, High Energy Physics - Phenomenology, High Energy Physics - Theory
الوصف: We present an efficient approach to set informative physically motivated priors for EFT-based full-shape analyses of galaxy survey data. We extract these priors from simulated galaxy catalogs based on halo occupation distribution (HOD) models. As a first step, we build a joint distribution between EFT galaxy bias and HOD parameters from a set of 10,500 HOD mock catalogs. We make use of the field level EFT technique that allows for cosmic variance cancellation, enabling a precision calibration of EFT parameters from computationally inexpensive small-volume simulations. As a second step, we use neural density estimators -- normalizing flows -- to model the marginal probability density of the EFT parameters, which can be used as a prior distribution in full shape analyses. As a first application, we use our HOD-based prior distribution in a new analysis of galaxy power spectra and bispectra from the BOSS survey in the context of single field primordial non-Gaussianity. We find that our approach leads to a reduction of the posterior volume of bias parameters by an order of magnitude. We also find $f_{\rm NL}^{\rm equil} = 650\pm 310$ and $f_{\rm NL}^{\rm ortho} = 42\pm 130$ (at 68\% CL) in a combined two-template analysis, representing a $\approx 40\%$ improvement in constraints on single field primordial non-Gaussianity, equivalent to doubling the survey volume.
Comment: 21 pages, 10 figures
نوع الوثيقة: Working Paper
URL الوصول: http://arxiv.org/abs/2402.13310
رقم الأكسشن: edsarx.2402.13310
قاعدة البيانات: arXiv