75 citations · 351 across the 16 of their papers we have counts for
16 papers
From quantum fluctuations to galaxy power spectrum multipoles
Nhat-Minh Nguyen
These notes trace large-scale structure from primordial curvature perturbations generated by inflationary quantum fluctuations to galaxy power-spectrum multipoles. Three core lectu…
Future of Artificial Intelligence for Science in Japan 2024 Community Report
Yoshitaka Itow, Jia Liu, Hirokazu Maesaka +16
This white paper summarizes scientific challenges and AI/ML research opportunities identified through the FAIRS Japan 2024 unconference process. The discussion focuses on three maj…
How I stop worrying about non-universality and : Constraining local with priors from HOD posteriors
Jiaxi Yu, Nhat-Minh Nguyen
Local primordial non-Gaussianity (local PNG) induces a scale-dependent contribution to galaxy clustering proportional to , where is the local PNG ampl…
Galaxy sizes as complementary (zero-)bias tracers of local primordial non-Gaussianity
Nhat-Minh Nguyen, Kazuyuki Akitsu, Atsushi Taruya
The scale-dependent bias in halo and galaxy power spectra is a key signature of local primordial non-Gaussianity (local PNG), with PNG sensitivity scaling as -- the ratio…
Reconstructing the local density field with combined convolutional and point cloud architecture
Baptiste Barthe-Gold, Nhat-Minh Nguyen, Leander Thiele
We construct a neural network to perform regression on the local dark-matter density field given line-of-sight peculiar velocities of dark-matter halos, biased tracers of the dark…
A Parameter-Masked Mock Data Challenge for Beyond-Two-Point Galaxy Clustering Statistics
2pt Collaboration, Elisabeth Krause, Yosuke Kobayashi +23
The last few years have seen the emergence of a wide array of novel techniques for analyzing high-precision data from upcoming galaxy surveys, which aim to extend the statistical a…
How much information can be extracted from galaxy clustering at the field level?
Nhat-Minh Nguyen, Fabian Schmidt, Beatriz Tucci +2
We present optimal Bayesian field-level cosmological constraints from nonlinear tracers of the large-scale structure, specifically the amplitude of linear matter fluctuations…
Exploring the Growth Index : Insights from Different CMB Dataset Combinations and Approaches
Enrico Specogna, Eleonora Di Valentino, Jackson Levi Said +1
In this study we investigate the growth index , which characterizes the growth of linear matter perturbations, while analysing different cosmological datasets. We compare the…
Wasserstein Gaussianization and Efficient Variational Bayes for Robust Bayesian Synthetic Likelihood
Nhat-Minh Nguyen, Minh-Ngoc Tran, Christopher Drovandi +1
The Bayesian Synthetic Likelihood (BSL) method is a widely-used tool for likelihood-free Bayesian inference. This method assumes that some summary statistics are normally distribut…
Sweeping Horndeski Canvas: New Growth-Rate Parameterization for Modified-Gravity Theories
Yuewei Wen, Nhat-Minh Nguyen, Dragan Huterer
We propose and numerically validate a new fitting formula that is sufficiently accurate to model the growth of structure in Horndeski theories of modified gravity for upcoming Stag…
Consistency tests of field level inference with the EFT likelihood
Andrija Kostić, Nhat-Minh Nguyen, Fabian Schmidt +1
Analyzing the clustering of galaxies at the field level in principle promises access to all the cosmological information available. Given this incentive, in this paper we investiga…
Field-level inference of galaxy intrinsic alignment from the SDSS-III BOSS survey
Eleni Tsaprazi, Nhat-Minh Nguyen, Jens Jasche +2
As a large-scale overdensity collapses, it affects the orientation and shape of galaxies that form, by exerting tidal shear along their axes. Therefore, the shapes of elliptical ga…
Impacts of the physical data model on the forward inference of initial conditions from biased tracers
Nhat-Minh Nguyen, Fabian Schmidt, Guilhem Lavaux +1
We investigate the impact of each ingredient in the employed physical data model on the Bayesian forward inference of initial conditions from biased tracers at the field level. Spe…
Taking measurements of the kinematic Sunyaev-Zel'dovich effect forward: including uncertainties from velocity reconstruction with forward modeling
Nhat-Minh Nguyen, Jens Jasche, Guilhem Lavaux +1
We measure the kinematic Sunyaev-Zel'dovich (kSZ) effect, imprinted by maxBCG clusters, on the Planck SMICA map of the Cosmic Microwave Background (CMB). Our measurement, for the f…
Cosmology Inference from Biased Tracers using the EFT-based Likelihood
Franz Elsner, Fabian Schmidt, Jens Jasche +2
The effective-field-theory (EFT) approach to the clustering of galaxies and other biased tracers allows for an isolation of the cosmological information that is protected by symmet…
A rigorous EFT-based forward model for large-scale structure
Fabian Schmidt, Franz Elsner, Jens Jasche +2
Conventional approaches to cosmology inference from galaxy redshift surveys are based on n-point functions, which are under rigorous perturbative control on sufficiently large scal…