47 citations · 232 across the 17 of their papers we have counts for
17 papers
Where does non-Universality in Assembly Bias come from?
Charuhas Shiveshwarkar, Marilena Loverde, Christopher M. Hirata +1
Constraints on local primordial non-Gaussianity (LPnG) obtained from galaxy power spectra are limited by the perfect degeneracy between the LPnG parameter and the bias…
A semi-analytic estimate for the effective sound speed counterterm in the EFTofLSS
Caio Nascimento, Drew Jamieson, Matthew McQuinn +1
The Effective Field Theory of Large Scale Structure (EFTofLSS) has found tremendous success as a perturbative framework for the evolution of large scale structure, and it is now ro…
Hybrid-bias and displacement emulators for field-level modelling of galaxy clustering in real and redshift space
Marcos Pellejero Ibanez, Raul E. Angulo, Drew Jamieson +1
Recently, hybrid bias expansions have emerged as a powerful approach to modelling the way in which galaxies are distributed in the Universe. Similarly, field-level emulators have r…
Quijote-PNG: The Information Content of the Halo Mass Function
Gabriel Jung, Andrea Ravenni, Marco Baldi +8
We study signatures of primordial non-Gaussianity (PNG) in the redshift-space halo field on non-linear scales, using a combination of three summary statistics, namely the halo mass…
pmwd: A Differentiable Cosmological Particle-Mesh -body Library
Yin Li, Libin Lu, Chirag Modi +7
The formation of the large-scale structure, the evolution and distribution of galaxies, quasars, and dark matter on cosmological scales, requires numerical simulations. Differentia…
Differentiable Cosmological Simulation with Adjoint Method
Yin Li, Chirag Modi, Drew Jamieson +5
Rapid advances in deep learning have brought not only myriad powerful neural networks, but also breakthroughs that benefit established scientific research. In particular, automatic…
Quijote-PNG: Quasi-maximum likelihood estimation of Primordial Non-Gaussianity in the non-linear halo density field
Gabriel Jung, Dionysios Karagiannis, Michele Liguori +6
We 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 sp…
Field Level Neural Network Emulator for Cosmological N-body Simulations
Drew Jamieson, Yin Li, Renan Alves de Oliveira +3
We build a field level emulator for cosmic structure formation that is accurate in the nonlinear regime. Our emulator consists of two convolutional neural networks trained to outpu…
Simple lessons from complex learning: what a neural network model learns about cosmic structure formation
Drew Jamieson, Yin Li, Siyu He +4
We train a neural network model to predict the full phase space evolution of cosmological N-body simulations. Its success implies that the neural network model is accurately approx…
Quijote-PNG: Quasi-maximum likelihood estimation of Primordial Non-Gaussianity in the non-linear dark matter density field
Gabriel Jung, Dionysios Karagiannis, Michele Liguori +6
Future Large Scale Structure surveys are expected to improve over current bounds on primordial non-Gaussianity (PNG), with a significant impact on our understanding of early Univer…
Quijote PNG: The information content of the halo power spectrum and bispectrum
William R Coulton, Francisco Villaescusa-Navarro, Drew Jamieson +6
We investigate how much can be learnt about four types of primordial non-Gaussianity (PNG) from small-scale measurements of the halo field. Using the QUIJOTE-PNG simulations, we qu…
Quijote-PNG: Simulations of primordial non-Gaussianity and the information content of the matter field power spectrum and bispectrum
William R Coulton, Francisco Villaescusa-Navarro, Drew Jamieson +6
Primordial non-Gaussianity (PNG) is one of the most powerful probes of the early Universe and measurements of the large scale structure of the Universe have the potential to transf…
Position-dependent Voronoi probability distribution functions for matter and halos
Drew Jamieson, Marilena Loverde
We measure the Voronoi density probability distribution function (PDF) for both dark matter and halos in N-body simulations. For the dark matter, Voronoi densities represent the ma…
Scale-dependent halo bias and the squeezed limit bispectrum in the presence of radiation
Charuhas Shiveshwarkar, Drew Jamieson, Marilena Loverde
We investigate the gravitational effect of large-scale radiation perturbations on small-scale structure formation. In addition to making the growth of matter perturbations scale de…
The position-dependent matter density probability distribution function
Drew Jamieson, Marilena Loverde
We introduce the position-dependent probability distribution function (PDF) of the smoothed matter field as a cosmological observable. In comparison to the PDF itself, the spatial…
Separate Universe Void Bias
Drew Jamieson, Marilena Loverde
Voids have emerged as a novel probe of cosmology and large-scale structure. These regions of extreme underdensity are sensitive to physics beyond the standard model of cosmology, a…
Quintessential Isocurvature in Separate Universe Simulations
Drew Jamieson, Marilena LoVerde
In a universe with quintessence isocurvature, or perturbations in dark energy that are independent from the usual curvature perturbations, structure formation is changed qualitativ…