Design and optimization of neural networks for multifidelity cosmological emulation
Fuente:
arXiv
Saved in:
| Main Authors: | Yang, Yanhui, Bird, Simeon, Ho, Ming-Feng, Qezlou, Mahdi |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Ten-dimensional neural network emulator for the nonlinear matter power spectrum
by: Yang, Yanhui, et al.
Published: (2025)
by: Yang, Yanhui, et al.
Published: (2025)
Ten-parameter simulation suite for cosmological emulation beyond $Λ$CDM
by: Yang, Yanhui, et al.
Published: (2025)
by: Yang, Yanhui, et al.
Published: (2025)
An AI super-resolution field emulator for cosmological hydrodynamics: the Lyman-α forest
by: Hafezianzadeh, Fatemeh, et al.
Published: (2025)
by: Hafezianzadeh, Fatemeh, et al.
Published: (2025)
CLiENT: A new tool for emulating cosmological likelihoods using deep neural networks
by: Janken, Luca, et al.
Published: (2025)
by: Janken, Luca, et al.
Published: (2025)
On the accuracy of posterior recovery with neural network emulators
by: Bevins, H. T. J., et al.
Published: (2025)
by: Bevins, H. T. J., et al.
Published: (2025)
A complete framework for cosmological emulation and inference with CosmoPower
by: Jense, H. T., et al.
Published: (2024)
by: Jense, H. T., et al.
Published: (2024)
Meta-learning for cosmological emulation: Rapid adaptation to new lensing kernels
by: MacMahon-Gellér, Charlie, et al.
Published: (2025)
by: MacMahon-Gellér, Charlie, et al.
Published: (2025)
Small-scale Lyman alpha forest cosmology with PRIYA: Constraints from XQ100 and KODIAQ-SQUAD one-dimensional flux power spectra
by: Ho, Ming-Feng, et al.
Published: (2025)
by: Ho, Ming-Feng, et al.
Published: (2025)
Cosmological multifield emulator
by: Andrianomena, Sambatra, et al.
Published: (2024)
by: Andrianomena, Sambatra, et al.
Published: (2024)
A general polynomial emulator for cosmology via moment projection
by: Zhang, Zheng
Published: (2025)
by: Zhang, Zheng
Published: (2025)
Recovering the CMB signal with neural networks
by: Casas, J. M., et al.
Published: (2025)
by: Casas, J. M., et al.
Published: (2025)
Multi-fidelity emulator for large-scale 21 cm lightcone images: a few-shot transfer learning approach with generative adversarial network
by: Diao, Kangning, et al.
Published: (2025)
by: Diao, Kangning, et al.
Published: (2025)
Fast emulation of anisotropies induced in the cosmic microwave background by cosmic strings
by: Price, Matthew A., et al.
Published: (2023)
by: Price, Matthew A., et al.
Published: (2023)
Accelerating reionization constraints: An ANN-emulator framework for the SCRIPT Semi-numerical Model
by: Sarkar, Saptarshi, et al.
Published: (2025)
by: Sarkar, Saptarshi, et al.
Published: (2025)
Forecast Cosmological Constraints with the 1D Wavelet Scattering Transform and the Lyman-$α$ forest
by: Tohfa, Hurum Maksora, et al.
Published: (2023)
by: Tohfa, Hurum Maksora, et al.
Published: (2023)
Recovering CMB polarization maps with neural networks: Performance in realistic simulations
by: Casas, J. M., et al.
Published: (2023)
by: Casas, J. M., et al.
Published: (2023)
Effort: a fast and differentiable emulator for the Effective Field Theory of the Large Scale Structure of the Universe
by: Bonici, Marco, et al.
Published: (2025)
by: Bonici, Marco, et al.
Published: (2025)
Field-level inference in cosmology
by: Leclercq, Florent
Published: (2025)
by: Leclercq, Florent
Published: (2025)
PyBird-JAX: Accelerated inference in large-scale structure with model-independent emulation of one-loop galaxy power spectra
by: Reeves, Alexander, et al.
Published: (2025)
by: Reeves, Alexander, et al.
Published: (2025)
Extending Galactic foreground emission with neural networks
by: Puglisi, Giuseppe, et al.
Published: (2026)
by: Puglisi, Giuseppe, et al.
Published: (2026)
Physical parameter regression from black hole images via a multiscale adaptive neural network
by: Wei, Jialei, et al.
Published: (2025)
by: Wei, Jialei, et al.
Published: (2025)
Lagrangian displacement field estimators in cosmology
by: Ota, Atsuhisa, et al.
Published: (2022)
by: Ota, Atsuhisa, et al.
Published: (2022)
Cutting corners: Hypersphere sampling as a new standard for cosmological emulators
by: Nygaard, Andreas, et al.
Published: (2024)
by: Nygaard, Andreas, et al.
Published: (2024)
Testing interacting dark energy with Stage IV cosmic shear surveys through differentiable neural emulators
by: Carrion, Karim, et al.
Published: (2024)
by: Carrion, Karim, et al.
Published: (2024)
Probabilistic cosmological inference on HI tomographic data
by: Andrianomena, Sambatra
Published: (2025)
by: Andrianomena, Sambatra
Published: (2025)
On the importance of Earth's atmosphere for SNIa precision cosmology
by: Neveu, Jérémy, et al.
Published: (2024)
by: Neveu, Jérémy, et al.
Published: (2024)
Machine-learning applications for weak-lensing cosmology
by: Shirasaki, Masato
Published: (2026)
by: Shirasaki, Masato
Published: (2026)
Numerical tests of cosmological Alfvén waves with Ohmic diffusion
by: Karapiperis, Orestis A., et al.
Published: (2025)
by: Karapiperis, Orestis A., et al.
Published: (2025)
A comparison of shrinkage estimators of the cosmological precision matrix
by: Looijmans, Marnix J., et al.
Published: (2024)
by: Looijmans, Marnix J., et al.
Published: (2024)
AMPEL workflows for LSST: Modular and reproducible real-time photometric classification
by: Nordin, Jakob, et al.
Published: (2025)
by: Nordin, Jakob, et al.
Published: (2025)
Ginnungagap -- a massively parallel cosmological initial conditions generator
by: Pilipenko, Sergey, et al.
Published: (2025)
by: Pilipenko, Sergey, et al.
Published: (2025)
Bayesian distances for quantifying tensions in cosmological inference and the surprise statistic
by: Schosser, Benedikt, et al.
Published: (2024)
by: Schosser, Benedikt, et al.
Published: (2024)
Accurate field-level weak lensing inference for precision cosmology
by: Zhou, Alan Junzhe, et al.
Published: (2023)
by: Zhou, Alan Junzhe, et al.
Published: (2023)
SubDLe: identification of substructures in cosmological simulations with deep learning
by: Esposito, Michela, et al.
Published: (2024)
by: Esposito, Michela, et al.
Published: (2024)
A new approach to observational cosmology using the scattering transform
by: Cheng, Sihao, et al.
Published: (2020)
by: Cheng, Sihao, et al.
Published: (2020)
JAX-bandflux: differentiable supernovae SALT modelling for cosmological analysis on GPUs
by: Leeney, Samuel Alan Kossoff
Published: (2025)
by: Leeney, Samuel Alan Kossoff
Published: (2025)
DISCO-DJ II: a differentiable particle-mesh code for cosmology
by: List, Florian, et al.
Published: (2025)
by: List, Florian, et al.
Published: (2025)
Are classification metrics good proxies for SN Ia cosmological constraining power?
by: Malz, Alex I., et al.
Published: (2023)
by: Malz, Alex I., et al.
Published: (2023)
Towards cosmological inference on unlabeled out-of-distribution HI observational data
by: Andrianomena, Sambatra, et al.
Published: (2024)
by: Andrianomena, Sambatra, et al.
Published: (2024)
Probing the cosmological 21~cm global signal from the Antarctic ice sheet
by: Sun, Shijie, et al.
Published: (2025)
by: Sun, Shijie, et al.
Published: (2025)
Similar Items
-
Ten-dimensional neural network emulator for the nonlinear matter power spectrum
by: Yang, Yanhui, et al.
Published: (2025) -
Ten-parameter simulation suite for cosmological emulation beyond $Λ$CDM
by: Yang, Yanhui, et al.
Published: (2025) -
An AI super-resolution field emulator for cosmological hydrodynamics: the Lyman-α forest
by: Hafezianzadeh, Fatemeh, et al.
Published: (2025) -
CLiENT: A new tool for emulating cosmological likelihoods using deep neural networks
by: Janken, Luca, et al.
Published: (2025) -
On the accuracy of posterior recovery with neural network emulators
by: Bevins, H. T. J., et al.
Published: (2025)