Cover Image

Bayesian Deconvolution of Astronomical Images with Diffusion Models: Quantifying Prior-Driven Features in Reconstructions

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Spagnoletti, Alessio, Boucaud, Alexandre, Huertas-Company, Marc, Kabalan, Wassim, Biswas, Biswajit
Format:	Preprint
Published:	2024
Subjects:	Instrumentation and Methods for Astrophysics Astrophysics of Galaxies Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Point Spread Function Deconvolution Using a Convolutional Autoencoder for Astronomical Applications
by: Sreejith, Sreevarsha, et al.
Published: (2023)

Siril: An Advanced Tool for Astronomical Image Processing
by: Richard, Cyril, et al.
Published: (2024)

Deconvolution of JWST/MIRI Images: Applications to an AGN Model and GATOS Observations of NGC 5728
by: Leist, M. T., et al.
Published: (2023)

Enabling Unsupervised Discovery in Astronomical Images through Self-Supervised Representations
by: Mohale, Koketso, et al.
Published: (2023)

AstroPT: Scaling Large Observation Models for Astronomy
by: Smith, Michael J., et al.
Published: (2024)

Cross-Survey Image Transformation: Enhancing SDSS and DECaLS Images to Near-HSC Quality for Advanced Astronomical Analysis
by: Luo, Zhijian, et al.
Published: (2024)

Gnuastro: Generating polar plots in Astronomical images
by: Eskandarlou, Sepideh, et al.
Published: (2024)

Astronomical Advantages of a Boost Mission to Facilitate HST Science into the 2030s: Imaging the Circumgalactic Medium of Galaxies
by: Hayes, Matthew J., et al.
Published: (2026)

Separating halo and disk stars in galaxies with Fuzzy Set Theory
by: Mondal, Amit, et al.
Published: (2025)

DECH: Software Package for Astronomical Spectral Data Processing and Analysis
by: Galazutdinov, G. A.
Published: (2025)

Regression for Astronomical Data with Realistic Distributions, Errors and Non-linearity
by: Jing, Tao, et al.
Published: (2024)

The Multimodal Universe: Enabling Large-Scale Machine Learning with 100TB of Astronomical Scientific Data
by: The Multimodal Universe Collaboration, et al.
Published: (2024)

Fast and Flexible Characterisation of Astronomical Light Curves Using Multi-Time Attention
by: Gondhalekar, Yash, et al.
Published: (2026)

Digitization of Astronomical Photographic Plate of China and Astrometric Measurement of Single-exposure Plates
by: Shang, Zheng-Jun, et al.
Published: (2024)

Spatially Resolved Galaxy-Dust Modeling with Coupled Data-Driven Priors
by: Siegel, Jared, et al.
Published: (2024)

FALCO: a Foundation model of Astronomical Light Curves for time dOmain astronomy
by: Zuo, Xiaoxiong, et al.
Published: (2025)

PI-AstroDeconv: A Physics-Informed Unsupervised Learning Method for Astronomical Image Deconvolution
by: Ni, Shulei, et al.
Published: (2024)

Tracing the green valley with entropic thresholding
by: Pandey, Biswajit
Published: (2023)

At First Sight: Zero-Shot Classification of Astronomical Images with Large Multimodal Models
by: Tanoglidis, Dimitrios, et al.
Published: (2024)

Synthesizer: a Software Package for Synthetic Astronomical Observables
by: Lovell, Christopher C., et al.
Published: (2025)

Decoding the Radio Sky: Bayesian Ensemble Learning and SVD-Based Feature Extraction for Automated Radio Galaxy Classification
by: Ansah-Narh, Theophilus, et al.
Published: (2025)

Learning What's Real: Disentangling Signal and Measurement Artifacts in Multi-Sensor Data, with Applications to Astrophysics
by: Mercader-Perez, Pablo, et al.
Published: (2026)

Why the Northern Hemisphere Needs a 30-40 m Telescope and the Science at Stake: Cosmology and High-z Universe
by: Pérez-González, Pablo G., et al.
Published: (2025)

Joint Deconvolution of Astronomical Images in the Presence of Poisson Noise
by: Donath, Axel, et al.
Published: (2024)

statmorph-lsst: Quantifying and correcting morphological biases in galaxy surveys
by: Sazonova, Elizaveta, et al.
Published: (2025)

Correlations between Dust Extinction Features across All Wavelength Scales: From Diffuse Interstellar Bands to R(V)
by: Saydjari, Andrew K., et al.
Published: (2025)

Quantifying the intrinsic variability due to randomness of the Auriga galaxy formation model
by: Pakmor, Ruediger, et al.
Published: (2025)

Minuet: A Diffusion Autoencoder for Compact Semantic Compression of Multi-Band Galaxy Images
by: Gagliano, Alexander T., et al.
Published: (2025)

Well-being and career instability across genders in the Spanish Astronomical Society
by: Lara-Lopez, Maritza A., et al.
Published: (2026)

Bayesian approach to equipartition estimation of magnetic field strength
by: Zychowicz, Adam A., et al.
Published: (2024)

Modeling Globular Cluster Counts with Bayesian Latent Models
by: de Souza, Rafael S., et al.
Published: (2025)

A New PSF Deconvolution Algorithm: Simultaneous Spatial Resolution Enhancement and Point Source Removal for Morphological Analysis of AGN Host Galaxies
by: Kawase, Ren, et al.
Published: (2026)

Quantifying the detection likelihood of faint peaks in interferometric data through jackknifing: Test application on finding $z>10$ galaxy candidates
by: van Marrewijk, Joshiwa, et al.
Published: (2025)

Survey Footprint Explorer: A Browser-Based Interactive Tool for Visualizing and Cross-Matching Astronomical Survey Footprints
by: Ahad, S. L., et al.
Published: (2026)

Quantifying Spectroscopic Flux Variations Between JWST NIRISS and NIRSpec: Slit Losses in Emission Line Measurements of z$\sim$1-3 Galaxies
by: Dalmasso, Nicolò, et al.
Published: (2025)

The Loeb Scale: Astronomical Classification of Interstellar Objects
by: Eldadi, Omer, et al.
Published: (2025)

AGNfitter: A Bayesian MCMC approach to fitting spectral energy distributions of AGN
by: Calistro-Rivera, Gabriela, et al.
Published: (2016)

A Bayesian Approach to Strong Lens Finding in the Era of Wide-area Surveys
by: Holloway, Philip, et al.
Published: (2023)

$\texttt{bayes_spec}$: A Bayesian Spectral Line Modeling Framework for Astrophysics
by: Wenger, Trey V.
Published: (2024)

Volume Density Mapper: 3D Density Reconstruction Algorithm for Molecular Clouds
by: Li, Guang-Xing, et al.
Published: (2025)