activity
19952025
most citedPlanck 2013 results. XVI. Cosmological parameters

6.6k citations · 43.6k across the 304 of their papers we have counts for

collaborators

305 papers

astro-ph.IM2025

Towards Mitigating Systematics in Large-Scale Surveys via Few-Shot Optimal Transport-Based Feature Alignment

Sultan Hassan, Sambatra Andrianomena, Benjamin D. Wandelt

Systematics contaminate observables, leading to distribution shifts relative to theoretically simulated signals-posing a major challenge for using pre-trained models to label such…

astro-ph.CO2025

How to evaluate the sufficiency and complementarity of summary statistics for cosmic fields: an information-theoretic perspective

Ce Sui, Yi Mao, Xiaosheng Zhao +2

The advent of increasingly advanced surveys and cosmic tracers has motivated the development of new inference techniques and novel approaches to extracting information from cosmic…

astro-ph.CO2025

Galactification: painting galaxies onto dark matter only simulations using a transformer-based model

Shivam Pandey, Christopher C. Lovell, Chirag Modi +1

Connecting the formation and evolution of galaxies to the large-scale structure is crucial for interpreting cosmological observations. While hydrodynamical simulations accurately m…

astro-ph.CO2025

Hierarchical summaries for primordial non-Gaussianities

M. S. Cagliari, A. Bairagi, B. Wandelt

The advent of Stage IV galaxy redshift surveys such as DESI and Euclid marks the beginning of an era of precision cosmology, with one key objective being the detection of primordia…

astro-ph.IM2025

Bias from small-scale leakage in Pulsar Timing Array maps

Federico Semenzato, Nicola Bellomo, Alvise Raccanelli +1

Pulsar Timing Array experiments are rapidly approaching the era of gravitational wave background anisotropy detection. The timing residuals of each pulsar are an integrated measure…

astro-ph.CO2025

Fisher Score Matching for Simulation-Based Forecasting and Inference

Ce Sui, Shivam Pandey, Benjamin D. Wandelt

We propose a method for estimating the Fisher score--the gradient of the log-likelihood with respect to model parameters--using score matching. By introducing a latent parameter mo…