activity
20202025
most citedCARPool: fast, accurate computation of large-scale structure statistics by pairing costly and cheap cosmological simulations

52 citations · 127 across the 5 of their papers we have counts for

collaborators

5 papers

gr-qc2025

A comparison between best-fit eccentricity definitions and the standardized definition of eccentricity

Nicolas Chartier, Md Arif Shaikh, Hyung Mok Lee +1

In the absence of a unique, gauge-independent definition of eccentricity in General Relativity, there have been efforts to standardize the definition for Gravitational-Wave astrono…

astro-ph.IM2024★ 36 cited

LtU-ILI: An All-in-One Framework for Implicit Inference in Astrophysics and Cosmology

Matthew Ho, Deaglan J. Bartlett, Nicolas Chartier +12

This paper presents the Learning the Universe Implicit Likelihood Inference (LtU-ILI) pipeline, a codebase for rapid, user-friendly, and cutting-edge machine learning (ML) inferenc…

astro-ph.CO2022★ 11 cited

Bayesian Control Variates for optimal covariance estimation with pairs of simulations and surrogates

Nicolas Chartier, Benjamin D. Wandelt

Predictions of the mean and covariance matrix of summary statistics are critical for confronting cosmological theories with observations, not least for likelihood approximations an…

astro-ph.CO2021★ 28 cited

CARPool Covariance: Fast, unbiased covariance estimation for large-scale structure observables

Nicolas Chartier, Benjamin D. Wandelt

The covariance matrix of non-linear clustering statistics that are measured in current and upcoming surveys is of fundamental interest for comparing cosmological the…

astro-ph.CO2020★ 52 cited

CARPool: fast, accurate computation of large-scale structure statistics by pairing costly and cheap cosmological simulations

Nicolas Chartier, Benjamin Wandelt, Yashar Akrami +1

To exploit the power of next-generation large-scale structure surveys, ensembles of numerical simulations are necessary to give accurate theoretical predictions of the statistics o…