Cover Image

Deep Learning for Point Spread Function Modeling in Cosmology

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Arbeláez, Dayana Andrea Henao, Léget, Pierre-François, Malagón, Andrés Alejandro Plazas
Format:	Preprint
Published:	2026
Subjects:	Instrumentation and Methods for Astrophysics 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

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

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

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

Multi-Agent System for Cosmological Parameter Analysis
by: Laverick, Andrew, 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)

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)

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

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)

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)

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)

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)

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

Initial Conditions from Galaxies: Machine-Learning Subgrid Correction to Standard Reconstruction
by: Parker, Liam, et al.
Published: (2025)

Observability of Acausal and Uncorrelated Optical-Quasar Pairs for Quantum-Mechanical Experiments
by: Steinbring, Eric
Published: (2025)

Transfer Learning Beyond the Standard Model
by: Krishnaraj, Veena, et al.
Published: (2025)

Quantum Computing Tools for Fast Detection of Gravitational Waves in the Context of LISA Space Mission
by: Isfan, Maria-Catalina, et al.
Published: (2025)

Precise Cosmological Constraints from BOSS Galaxy Clustering with a Simulation-Based Emulator of the Wavelet Scattering Transform
by: Valogiannis, Georgios, et al.
Published: (2023)

The AI Cosmologist I: An Agentic System for Automated Data Analysis
by: Moss, Adam
Published: (2025)

Graph-based Summary Statistics for Revealing the Stochastic Gravitational Wave Background in Pulsar Timing Arrays
by: Alakhras, M., et al.
Published: (2025)

Large Language Models -- the Future of Fundamental Physics?
by: Heneka, Caroline, et al.
Published: (2025)

Sampling the full hierarchical population posterior distribution in gravitational-wave astronomy
by: Mancarella, Michele, et al.
Published: (2025)

Cosmological joint analysis with cosmic growth and expansion rate
by: Niu, Jing, et al.
Published: (2022)

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

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

Machine Learning based Pointing Models for Radio/Sub-millimeter Telescopes
by: Nyheim, Bendik, et al.
Published: (2024)

Characterization of the ESPRESSO Line-Spread Function and Improvement of the Wavelength Calibration Accuracy
by: Schmidt, Tobias M., et al.
Published: (2024)

Gravitational Wave Signal Extraction Against Non-Stationary Instrumental Noises with Deep Neural Network
by: Xu, Yuxiang, et al.
Published: (2024)

Reconstruction of Black Hole Ringdown Signals with Data Gaps using a Deep-Learning Framework
by: Lai, Jing-Qi, et al.
Published: (2025)

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

Deep source separation of overlapping gravitational-wave signals and non-stationary noise artifacts
by: Houba, Niklas
Published: (2025)

Optimizing searches for gravitational wave bursts using coherent WaveBurst 2G
by: Martini, Alessandro, et al.
Published: (2025)

Linear Image Regridding and Coaddition with Oversampled Point Spread Functions: Lessons from 1D
by: Cao, Kaili
Published: (2025)