From the 1 of 5 linked papers with an AI index.
29 citations · 29 across the 2 of their papers we have counts for
6 papers
A Parameter-Masked Mock Data Challenge for Beyond-Two-Point Galaxy Clustering Statistics
2pt Collaboration, Elisabeth Krause, Yosuke Kobayashi +23
The paper presents the first results of the "Beyond-2pt" community data challenge, where participants used various beyond‑two‑point galaxy clustering methods on high‑precision mock…
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 amp…
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 rati…
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…
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 fluctuation…
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…