10 papers
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…
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…
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…
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…
Hybrid Summary Statistics
T. Lucas Makinen, Ce Sui, Benjamin D. Wandelt +2
We present a way to capture high-information posteriors from training sets that are sparsely sampled over the parameter space for robust simulation-based inference. In physical inf…
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…