activity
20202026
most citedCosmology with cosmic web environments I. Real-space power spectra

31 citations · 69 across the 11 of their papers we have counts for

collaborators

12 papers

astro-ph.CO2026

Learning cosmic web environments with diffusion models

Mehdi Noor, Tony Bonnaire, Nabila Aghanim +1

The cosmic web, consisting of an intricate network of voids, walls, filaments, and nodes, encodes key information about structure formation and the cosmological parameters that gov…

cond-mat.dis-nn2025★ 1 cited

On the role of non-linear latent features in bipartite generative neural networks

Tony Bonnaire, Giovanni Catania, Aurélien Decelle +1

We investigate the phase diagram and memory retrieval capabilities of bipartite energy-based neural networks, namely Restricted Boltzmann Machines (RBMs), as a function of the prio…

astro-ph.CO2025

X-ray emission in IllustrisTNG circum-cluster environments. II -- Possible origins of the soft X-ray excess emission

Celine Gouin, Daniela Galárraga-Espinosa, Massimiliano Bonamente +9

An excess of soft X-ray emission (0.2-1 keV) above the contribution from the hot intra-cluster medium (ICM) has been detected in a number of galaxy clusters, including the Coma clu…

astro-ph.CO2025★ 1 cited

Euclid Quick Data Release (Q1). The role of cosmic connectivity in shaping galaxy clusters

Euclid Collaboration, C. Gouin, C. Laigle +337

The matter distribution around galaxy clusters is distributed over several filaments, reflecting their positions as nodes in the large-scale cosmic web. The number of filaments con…

astro-ph.CO2024★ 4 cited

Tracing gaseous filaments connected to galaxy clusters: the case study of Abell 2744

Stefano Gallo, Nabila Aghanim, Céline Gouin +4

Filaments connected to galaxy clusters are crucial environments to study the building up of cosmic structures as they funnel matter towards the clusters' deep gravitational potenti…

astro-ph.CO2024★ 12 cited

Dissecting a miniature universe: A multi-wavelength view of galaxy quenching in the Shapley supercluster

N. Aghanim, T. Tuominen, V. Bonjean +3

Multiple-cluster systems, superclusters, contain large numbers of galaxies assembled in clusters inter-connected by multi-scale filamentary networks. As such, superclusters are a s…

astro-ph.CO2022★ 8 cited

Cosmology with cosmic web environments II. Redshift-space auto and cross power spectra

Tony Bonnaire, Joseph Kuruvilla, Nabila Aghanim +1

Degeneracies among parameters of the cosmological model are known to drastically limit the information contained in the matter distribution. In the first paper of this series, we s…

astro-ph.CO2022★ 3 cited

Self-supervised component separation for the extragalactic submillimeter sky

V. Bonjean, H. Tanimura, N. Aghanim +2

We use a new approach based on self-supervised deep learning networks originally applied to transparency separation in order to simultaneously extract the components of the extraga…

astro-ph.CO2021★ 31 cited

Cosmology with cosmic web environments I. Real-space power spectra

Tony Bonnaire, Nabila Aghanim, Joseph Kuruvilla +1

We undertake the first comprehensive and quantitative real-space analysis of the cosmological information content in the environments of the cosmic web (voids, filaments, walls, an…

cs.LG2021

Regularization of Mixture Models for Robust Principal Graph Learning

Tony Bonnaire, Aurélien Decelle, Nabila Aghanim

A regularized version of Mixture Models is proposed to learn a principal graph from a distribution of -dimensional data points. In the particular case of manifold learning for r…

astro-ph.CO2021★ 4 cited

Shape and connectivity of groups and clusters: Impact of dynamical state and accretion history

C. Gouin, T. Bonnaire, N Aghanim

Matter distribution around clusters is highly anisotropic from their being the nodes of the cosmic web. Clusters' shape and the number of filaments they are connected to, i.e., the…

stat.ML2020★ 5 cited

Cascade of Phase Transitions for Multi-Scale Clustering

T. Bonnaire, A. Decelle, N. Aghanim

We present a novel framework exploiting the cascade of phase transitions occurring during a simulated annealing of the Expectation-Maximisation algorithm to cluster datasets with m…