Image de couverture de livre

Mitigating Model Misspecification in Simulation-Based Inference for Galaxy Clustering

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Pierre, Sébastien, Blancard, Bruno Régaldo-Saint, Hahn, ChangHoon, Eickenberg, Michael
Format:	Preprint
Publié:	2025
Sujets:	Cosmology and Nongalactic Astrophysics
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

{\sc SimBIG}: Cosmological Constraints using Simulation-Based Inference of Galaxy Clustering with Marked Power Spectra
par: Massara, Elena, et autres
Publié: (2024)

Galaxy Clustering Analysis with SimBIG and the Wavelet Scattering Transform
par: Blancard, Bruno Régaldo-Saint, et autres
Publié: (2023)

${\rm S{\scriptsize IM}BIG}$: Cosmological Constraints from the Redshift-Space Galaxy Skew Spectra
par: Hou, Jiamin, et autres
Publié: (2024)

Modeling the Kinematics of Central and Satellite Galaxies Using Normalizing Flows
par: Kwon, K. J., et autres
Publié: (2024)

HaloFlow II: Robust Galaxy Halo Mass Inference with Domain Adaptation
par: Garuda, Nikhil, et autres
Publié: (2026)

Inhomogeneous Dust Biases Photometric Redshifts and Stellar Masses for LSST
par: Hahn, ChangHoon, et autres
Publié: (2024)

Statistical Component Separation for Targeted Signal Recovery in Noisy Mixtures
par: Blancard, Bruno Régaldo-Saint, et autres
Publié: (2023)

Listening to the Noise: Blind Denoising with Gibbs Diffusion
par: Heurtel-Depeiges, David, et autres
Publié: (2024)

Separation of dust emission from the Cosmic Infrared Background in Herschel observations with Wavelet Phase Harmonics
par: Auclair, Constant, et autres
Publié: (2023)

A Parameter-Masked Mock Data Challenge for Beyond-Two-Point Galaxy Clustering Statistics
par: 2pt Collaboration, et autres
Publié: (2024)

Simulation-Based Cosmological Mass Calibration of XXL Galaxy Clusters using HSC Weak Lensing
par: Tam, Sut-Ieng, et autres
Publié: (2026)

The Importance of Being Adaptable: An Exploration of the Power and Limitations of Domain Adaptation for Simulation-Based Inference with Galaxy Clusters
par: Ntampaka, Michelle, et autres
Publié: (2025)

Constraining Dynamical Dark Energy from Galaxy Clustering with Simulation-Based Priors
par: Chen, Shu-Fan, et autres
Publié: (2025)

Simulation-Based Inference for Probabilistic Galaxy Detection and Deblending
par: Mendoza, Ismael, et autres
Publié: (2026)

Kinematic Lensing Inference II: Cluster Lensing with $\mathcal{O}$(1) Galaxies
par: S., Pranjal R., et autres
Publié: (2024)

Line of Sight Bias in Dark Matter Inferences from Galaxy Cluster Mergers
par: Wittman, David, et autres
Publié: (2024)

Constraining Cosmology with Simulation-based inference and Optical Galaxy Cluster Abundance
par: Reza, Moonzarin, et autres
Publié: (2024)

Miscentering of Optical Galaxy Clusters Based on Sunyaev-Zeldovich Counterparts
par: Ding, Jupiter, et autres
Publié: (2024)

sOPTICS: A Modified Density-Based Algorithm for Identifying Galaxy Groups/Clusters and Brightest Cluster Galaxies
par: Ma, Hai-Xia, et autres
Publié: (2024)

Mitigating Simulator Dependence in AI Parameter Inference for the Epoch of Reionization: The Importance of Simulation Diversity
par: Solt, Jasper, et autres
Publié: (2026)

Quantifying the Velocity Anisotropy Profile of Galaxy Clusters Using the Uchuu Cosmological Simulation
par: Abdullah, Mohamed H., et autres
Publié: (2025)

Flexible Simulation Based Inference for Galaxy Photometric Fitting with Synthesizer
par: Harvey, Thomas, et autres
Publié: (2025)

Cosmology with Galaxy Clusters
par: Miyatake, Hironao
Publié: (2025)

Simulating the LOcal Web (SLOW) V. Thermodynamic Properties and Evolution of Local Galaxy Clusters
par: Hernández-Martínez, Elena, et autres
Publié: (2025)

Fast, Accurate and Perturbative Forward Modeling of Galaxy Clustering Part I: Galaxies in the Restframe
par: Stadler, Julia, et autres
Publié: (2024)

Mass Modeling and Kinematics of Galaxy Clusters in Modified Gravity
par: Pizzuti, Lorenzo, et autres
Publié: (2024)

Constraining Reionization with Lyα Damping-Wing Absorption in Galaxy Spectra: A Machine Learning Model Based on Reionization Simulations
par: Park, Hyunbae, et autres
Publié: (2024)

Strong Lensing by Galaxy Clusters
par: Natarajan, Priyamvada, et autres
Publié: (2024)

Cosmological and Astrophysical Parameter Inference from Stacked Galaxy Cluster Profiles Using CAMELS-zoomGZ
par: Hernández-Martínez, Elena, et autres
Publié: (2024)

Simulation-Based Priors without Simulations: an Analytic Perspective on EFT Parameters of Galaxies
par: Ivanov, Mikhail M.
Publié: (2025)

Modeling Dust in Galaxy Evolution Simulations
par: Parente, Massimiliano
Publié: (2025)

Detecting Relativistic Doppler in Galaxy Clustering with Tailored Galaxy Samples
par: Montano, Federico, et autres
Publié: (2023)

Extracting high-order cosmological information in galaxy surveys with power spectra
par: Wang, Yuting, et autres
Publié: (2022)

Reducing Model Error Using Optimised Galaxy Selection: Weak Lensing Cluster Mass Estimation
par: Rau, Markus Michael, et autres
Publié: (2024)

AION-1: Omnimodal Foundation Model for Astronomical Sciences
par: Parker, Liam, et autres
Publié: (2025)

Modelling Galaxy Clustering and Tomographic Galaxy-Galaxy Lensing with HSC Y3 and SDSS using the Point-Mass Correction Model and Redshift Self-Calibration
par: Zhang, Tianqing, et autres
Publié: (2025)

Parameterization of Stochasticity in Galaxy Clustering and Reconstruction of Tomographic Matter Clustering
par: Zhou, Shuren, et autres
Publié: (2024)

Features of the Spatial Distribution of Galaxy Clusters
par: Ryabinkov, Andrei I., et autres
Publié: (2025)

Set-based Implicit Likelihood Inference of Galaxy Cluster Mass
par: Wang, Bonny Y., et autres
Publié: (2025)

DESI 2024 V: Full-Shape Galaxy Clustering from Galaxies and Quasars
par: Adame, A. G., et autres
Publié: (2024)