STAR NRE: Solving supernova selection effects with set-based truncated auto-regressive neural ratio estimation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Karchev, Konstantin, Trotta, Roberto
Format:	Preprint
Published:	2024
Subjects:	Cosmology and Nongalactic Astrophysics Instrumentation and Methods for Astrophysics
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

SIDE-real: Supernova Ia Dust Extinction with truncated marginal neural ratio estimation applied to real data
by: Karchev, Konstantin, et al.
Published: (2024)

CIGaRS I: Combined simulation-based inference from type Ia supernovae and host photometry
by: Karchev, Konstantin, et al.
Published: (2025)

Unlocking 21cm Cosmology with SBI: A Beginner friendly NRE for Inference of Astrophysical Parameters
by: Sen, Bisweswar
Published: (2025)

Physical parameter regression from black hole images via a multiscale adaptive neural network
by: Wei, Jialei, et al.
Published: (2025)

One never walks alone: the effect of the perturber population on subhalo measurements in strong gravitational lenses
by: Coogan, Adam, et al.
Published: (2022)

Cosmo-FOLD: Fast generation and upscaling of field-level cosmological maps with overlap latent diffusion
by: Mishra, Satvik, et al.
Published: (2026)

Improved Weak Lensing Photometric Redshift Calibration via StratLearn and Hierarchical Modeling
by: Autenrieth, Maximilian, et al.
Published: (2024)

JAX-bandflux: differentiable supernovae SALT modelling for cosmological analysis on GPUs
by: Leeney, Samuel Alan Kossoff
Published: (2025)

Photometry is all you need: supernova classification as a mixing problem
by: Uzsoy, Ana Sofía M., et al.
Published: (2026)

Photometric classification of supernovae detected by the Zwicky Transient Facility using noise augmentation
by: Townsend, A., et al.
Published: (2026)

Prospects of the multi-channel photometric survey telescope in the cosmological application of Type Ia supernovae
by: Wang, Zhenyu, et al.
Published: (2024)

KiDS-Legacy: Angular galaxy clustering from deep surveys with complex selection effects
by: Yan, Ziang, et al.
Published: (2024)

LimberJack.jl: auto-differentiable methods for angular power spectra analyses
by: Ruiz-Zapatero, J., et al.
Published: (2023)

How in situ atmospheric transmission can affect cosmological constraints from type Ia supernovae ?
by: Neveu, Jérémy, et al.
Published: (2022)

Bayesian power spectrum estimation with modelling of systematic effects in delay-fringe rate space
by: Dutta, Sohini, et al.
Published: (2026)

HOLISMOKES -- XIV. Time-delay and differential dust extinction determination with lensed type II supernova color curves
by: Grupa, J., et al.
Published: (2024)

Inferring galaxy cluster masses from cosmic microwave background lensing with neural simulation based inference
by: Baxter, Eric J., et al.
Published: (2024)

cp3-bench: A tool for benchmarking symbolic regression algorithms tested with cosmology
by: Thing, Mattias E., et al.
Published: (2024)

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)

Recovering the CMB signal with neural networks
by: Casas, J. M., et al.
Published: (2025)

On the accuracy of posterior recovery with neural network emulators
by: Bevins, H. T. J., et al.
Published: (2025)

Pulsar timing and polarimetry: results and perspectives
by: Postnov, Konstantin A., et al.
Published: (2025)

Design and optimization of neural networks for multifidelity cosmological emulation
by: Yang, Yanhui, et al.
Published: (2025)

Euclid preparation. CosmoPostProcess: A simulation calibrated framework for weak lensing selection bias in richness-selected galaxy clusters
by: Euclid Collaboration, et al.
Published: (2026)

CosmoForge I: A unified framework for QML power spectrum estimation and pixel-based likelihood analysis
by: Galloni, Giacomo, et al.
Published: (2026)

Mitigating incoherent excess variance in high-redshift 21 cm observations with multi-output cross-Gaussian process regression
by: Munshi, S., et al.
Published: (2025)

A general Bayesian model-validation framework based on null-test evidence ratios, with an example application to global 21-cm cosmology
by: Sims, Peter H., 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)

The miniJPAS survey quasar selection V: combined algorithm
by: Pérez-Ràfols, Ignasi, et al.
Published: (2025)

Ten-dimensional neural network emulator for the nonlinear matter power spectrum
by: Yang, Yanhui, et al.
Published: (2025)

Recovering CMB polarization maps with neural networks: Performance in realistic simulations
by: Casas, J. M., et al.
Published: (2023)

Simulation-based inference has its own Dodelson-Schneider effect (but it knows that it does)
by: Homer, Jed, et al.
Published: (2024)

Lagrangian displacement field estimators in cosmology
by: Ota, Atsuhisa, et al.
Published: (2022)

COMAP Pathfinder -- Season 2 results I. Improved data selection and processing
by: Lunde, J. G. S., et al.
Published: (2024)

CLiENT: A new tool for emulating cosmological likelihoods using deep neural networks
by: Janken, Luca, et al.
Published: (2025)

A comparison of shrinkage estimators of the cosmological precision matrix
by: Looijmans, Marnix J., et al.
Published: (2024)

Unbiased estimates of the shapes of haloes using the positions of satellite galaxies
by: Herle, A., et al.
Published: (2025)

The PAU Survey: Photometric redshift estimation in deep wide fields
by: Navarro-Gironés, D., et al.
Published: (2023)

Euclid: Searches for strong gravitational lenses using convolutional neural nets in Early Release Observations of the Perseus field
by: Pearce-Casey, R., et al.
Published: (2024)

ANNZ+: an enhanced photometric redshift estimation algorithm with applications on the PAU Survey
by: Pathi, Imdad Mahmud, et al.
Published: (2024)