Cover Image

Cosmological joint analysis with cosmic growth and expansion rate

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Niu, Jing, Zhang, Tong-Jie
Format:	Preprint
Published:	2022
Subjects:	Cosmology and Nongalactic Astrophysics Data Analysis, Statistics and Probability
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Exploring the Cosmological Model Degeneracy with a new evaluate factor G
by: Xie, Yuan-bo, et al.
Published: (2025)

Impact of Redshift Space Distortion on Persistent Homology of cosmic matter density field
by: Abedi, Fatemeh, et al.
Published: (2024)

Euclid preparation. LIII. LensMC, weak lensing cosmic shear measurement with forward modelling and Markov Chain Monte Carlo sampling
by: Euclid Collaboration, et al.
Published: (2024)

Multiscale Flow for Robust and Optimal Cosmological Analysis
by: Dai, Biwei, et al.
Published: (2023)

Deep Learning for Point Spread Function Modeling in Cosmology
by: Arbeláez, Dayana Andrea Henao, et al.
Published: (2026)

Direct reconstruction of the Reionization history from 21cm 2D Power Spectra
by: Pietschke, Yannic, et al.
Published: (2025)

Almanac: MCMC-based signal extraction of power spectra and maps on the sphere
by: Sellentin, E., et al.
Published: (2023)

Bayesian leave-one-out cross-validation for astrophysical model comparison using gravitational-wave background data
by: Tiruvaskar, Shreyas, et al.
Published: (2026)

Replacing Gaussian Processes with Neural Networks in Pulsar Timing Array Inference of the Gravitational-Wave Background
by: Tiruvaskar, Shreyas, et al.
Published: (2026)

Non-Gaussian Expansion of Minkowski Tensors in Redshift Space
by: Appleby, Stephen, et al.
Published: (2025)

Constraining Reionization Morphology and Source Properties with 21cm-Galaxy Cross-Correlation Surveys
by: Pietschke, Yannic, et al.
Published: (2026)

Sparsity covariance: a source of uncertainty when estimating correlation functions with a discrete sample of observations in the sky
by: Fleury, Pierre
Published: (2025)

A comparative study of cosmological constraints from weak lensing using Convolutional Neural Networks
by: Sharma, Divij, et al.
Published: (2024)

Semi-analytical covariance matrices for two-point correlation function for DESI 2024 data
by: Rashkovetskyi, M., et al.
Published: (2024)

On marginals and profiled posteriors for cosmological parameter estimation
by: Kerscher, Martin, et al.
Published: (2024)

The Non-Gaussian Weak-Lensing Likelihood: A Multivariate Copula Construction and Impact on Cosmological Constraints
by: Oehl, Veronika, et al.
Published: (2026)

Physically-motivated priors in the local distance ladder significantly reduce the Hubble tension
by: Högås, Marcus, et al.
Published: (2026)

Multi-Agent System for Cosmological Parameter Analysis
by: Laverick, Andrew, et al.
Published: (2024)

Evaluating state-of-the-art cloud quantum computers for quantum neural networks in gravitational waves data analysis
by: Isfan, Maria-Catalina, et al.
Published: (2026)

Cosmological Parameter Estimation with Sequential Linear Simulation-based Inference
by: Mediato-Diaz, Nicolas, et al.
Published: (2025)

Fisher's Mirage: Noise Tightening of Cosmological Constraints in Simulation-Based Inference
by: Wilson, Christopher, et al.
Published: (2024)

Constraining Power of Wavelet vs. Power Spectrum Statistics for CMB Lensing and Weak Lensing with Learned Binning
by: Boone, Kyle, et al.
Published: (2025)

Partition function approach to non-Gaussian likelihoods: macrocanonical partitions and replicating Markov-chains
by: Herzog, Maximilian Philipp, et al.
Published: (2023)

Starobinsky in Stereo: SKA-CMB Synergy in SBI
by: Schosser, Benedikt, et al.
Published: (2025)

Trajectory Based RFI Subtraction and Calibration for Radio Interferometry
by: Finlay, Chris, et al.
Published: (2023)

TABASCAL II: Removing Multi-Satellite Interference from Point-Source Radio Astronomy Observations
by: Finlay, Chris, et al.
Published: (2025)

Partition function approach to non-Gaussian likelihoods: partitions for the inference of functions and the Fisher-functional
by: Kuntz, Rebecca Maria, et al.
Published: (2023)

GetDist: a Python package for analysing Monte Carlo samples
by: Lewis, Antony
Published: (2019)

Testing the Constancy of Type Ia Supernova Luminosities with Gaussian Process
by: Rana, Akshay
Published: (2025)

DerivKit: stable numerical derivatives bridging Fisher forecasts and MCMC
by: Šarčević, Nikolina, et al.
Published: (2026)

Enhancing evidence estimation through informed probability density approximation
by: Zahraoui, El Mehdi, et al.
Published: (2025)

The Galaxy Bias Profile of Cosmic Voids:A Comparison of Void Finders
by: Alfaro, Ignacio G., et al.
Published: (2026)

Substructure Detection in Realistic Strong Lensing Systems with Machine Learning
by: Tsang, Arthur, et al.
Published: (2024)

Clues from $\mathcal{Q}$--A null test designed for line intensity mapping cross-correlation studies
by: Sarkar, Debanjan, et al.
Published: (2025)

Morphometry on the sphere: Cartesian and irreducible Minkowski tensors explained and implemented
by: Collischon, Caroline, et al.
Published: (2024)

From few to many maps: A fast map-level emulator for extreme augmentation of CMB systematics datasets
by: Campeti, P., et al.
Published: (2025)

Nucleation regions in the Large-Scale Structure II: Morphology and dynamical state of supercluster cores
by: Zúñiga, J. M., et al.
Published: (2025)

Nature-inspired optimization, the Philippine Eagle, and cosmological parameter estimation
by: Bernardo, Reginald Christian, et al.
Published: (2025)

Analytic Marginalization over Binary Variables in Physics Data
by: Högås, Marcus, et al.
Published: (2025)

Parameter Estimation Limits in Blazars
by: Roychowdhury, Agniva
Published: (2026)