Cover Image

High-Dimensional Bayesian Model Comparison in Cosmology with GPU-accelerated Nested Sampling and Neural Emulators

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Lovick, Toby, Yallup, David, Piras, Davide, Mancini, Alessio Spurio, Handley, Will
Format:	Preprint
Published:	2025
Subjects:	Cosmology and Nongalactic Astrophysics
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Constraining the primordial power spectrum using a differentiable likelihood
by: Chaki, Subarna, et al.
Published: (2025)

$\texttt{unimpeded}$: A Public Nested Sampling Database for Bayesian Cosmology
by: Ong, Dily Duan Yi, et al.
Published: (2025)

Testing interacting dark energy with Stage IV cosmic shear surveys through differentiable neural emulators
by: Carrion, Karim, et al.
Published: (2024)

unimpeded: A Public Grid of Nested Sampling Chains for Cosmological Model Comparison and Tension Analysis
by: Ong, Dily Duan Yi, et al.
Published: (2025)

Time delays and stationarity in quasar light curves
by: Kroupa, Namu, et al.
Published: (2026)

Learned harmonic mean estimation of the Bayesian evidence with normalizing flows
by: Polanska, Alicja, et al.
Published: (2024)

A Bayesian Perspective on Evidence for Evolving Dark Energy
by: Ong, Dily Duan Yi, et al.
Published: (2025)

The future of cosmological likelihood-based inference: accelerated high-dimensional parameter estimation and model comparison
by: Piras, Davide, et al.
Published: (2024)

Savage-Dickey density ratio estimation with normalizing flows for Bayesian model comparison
by: Lin, Kiyam, et al.
Published: (2025)

Automatic Laplace Collapsed Sampling: Scalable Marginalisation of Latent Parameters via Automatic Differentiation
by: Lovick, Toby, et al.
Published: (2026)

The Bayesian view of DESI DR2 with unimpeded: Evidence and tension in a combined analysis with CMB and supernovae across cosmological models
by: Ong, Dily Duan Yi, et al.
Published: (2026)

Dark Scattering: accelerated constraints from KiDS-1000 with $\tt{ReACT}$ and $\tt{CosmoPower}$
by: Carrion, Karim, et al.
Published: (2024)

Transfer learning for multifidelity simulation-based inference in cosmology
by: Saoulis, Alex A., et al.
Published: (2025)

Optimising Foreground Modelling for Global 21cm Cosmology with GPU-Accelerated Nested Sampling
by: Tutt, Jacob L., et al.
Published: (2026)

Dynamic or Systematic? Bayesian model selection between dark energy and supernova biases
by: Ormondroyd, A. N., et al.
Published: (2025)

Kernel-, mean- and noise-marginalised Gaussian processes for exoplanet transits and $H_0$ inference
by: Kroupa, Namu, et al.
Published: (2023)

Cosmological Inference with Cosmic Voids and Neural Network Emulators
by: Lehman, Kai, et al.
Published: (2025)

MG-NECOLA: Fast Neural Emulators for Modified Gravity Cosmologies
by: Orjuela-Quintana, J. Bayron, et al.
Published: (2025)

Emulator-Based Inference of Cosmological Subgrid Models
by: Ramachandra, Nesar, et al.
Published: (2026)

CSST Cosmological Emulator II: Generalized Accurate Halo Mass Function Emulation
by: Chen, Zhao, et al.
Published: (2025)

Parallel Nested Slice Sampling for Gravitational Wave Parameter Estimation
by: Yallup, David, et al.
Published: (2025)

CSST Cosmological Emulator III: Hybrid Lagrangian Bias Expansion Emulation of Galaxy Clustering
by: Zhou, Shuren, et al.
Published: (2025)

Field-level Emulation of Cosmic Structure Formation with Cosmology and Redshift Dependence
by: Jamieson, Drew, et al.
Published: (2024)

Psi-GAN: A power-spectrum-informed generative adversarial network for the emulation of large-scale structure maps across cosmologies and redshifts
by: Bhambra, Prabh, et al.
Published: (2024)

Bayesian Anomaly Detection for Ia Cosmology: Automating SALT3 Data Curation
by: Leeney, S. A. K., et al.
Published: (2025)

A representation learning approach to probe for dynamical dark energy in matter power spectra
by: Piras, Davide, et al.
Published: (2023)

OLÉ -- Online Learning Emulation in Cosmology
by: Günther, Sven, et al.
Published: (2025)

Modern Bayesian Sampling Methods for Cosmological Inference: A Comparative Study
by: Staicova, Denitsa
Published: (2025)

Calibrating Bayesian Tension Statistics using Neural Ratio Estimation
by: Bevins, Harry T. J., et al.
Published: (2024)

CSST Cosmological Emulator I: Matter Power Spectrum Emulation with one percent accuracy to k = 10 h/Mpc
by: Chen, Zhao, et al.
Published: (2025)

Super-Resolution Emulation of Large Cosmological Fields with a 3D Conditional Diffusion Model
by: Rouhiainen, Adam, et al.
Published: (2023)

GPU-Accelerated Gravitational Lensing & Dynamical (GLaD) Modeling for Cosmology and Galaxies
by: Wang, Han, et al.
Published: (2025)

Field-level cosmological model selection: field-level simulation-based inference for Stage IV cosmic shear can distinguish dynamical dark energy
by: Mancini, A. Spurio, et al.
Published: (2024)

Deriving Cosmological Parameters from the Euclid mission
by: Sciotti, Davide
Published: (2024)

The Bayesian Global Sky Model (B-GSM): Validation of a Data Driven Bayesian Simultaneous Component Separation and Calibration Algorithm for EoR Foreground Modelling
by: Carter, George, et al.
Published: (2025)

Gaussian-Process Emulation of the Redshift-Space Halo Power Spectrum Monopole in Cosmologies with Massive Neutrinos
by: Gan, Jixin, et al.
Published: (2026)

MG-NECOLA: A Field-Level Emulator for $f(R)$ Gravity and Massive Neutrino Cosmologies
by: Orjuela-Quintana, J. Bayron, et al.
Published: (2026)

Fully Bayesian Forecasts with Evidence Networks
by: Gessey-Jones, T., et al.
Published: (2023)

Fast emulation of anisotropies induced in the cosmic microwave background by cosmic strings
by: Price, Matthew A., et al.
Published: (2023)

Deep learning insights into non-universality in the halo mass function
by: Guo, Ningyuan, et al.
Published: (2024)