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A deep learning approach to image analysis of M87⋆
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Parameter inference from black hole images using deep learning in visibility space
Franc O, Pavlos Protopapas, Dominic W Pesce, Angelo Ricarte, Sheperd S Doeleman, Cecilia Garraffo, Lindy Blackburn and Mauricio Santillana Monthly Notices of the Royal Astronomical Society 545(2) (2025) https://doi.org/10.1093/mnras/staf1843
Exploring lensing signatures through spectrotemporal correlations: Implications for black hole parameter estimation
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Ao Liu, Zelin Zhang, Songbai Chen, Cuihong Wen and Jieci Wang The Astrophysical Journal Supplement Series 279(1) 10 (2025) https://doi.org/10.3847/1538-4365/add896
Analysis for Science Librarians of the 2024 Nobel Prize in Physics: Foundational Discoveries Enabling Machine Learning with Artificial Neural Networks
Machine and Deep Learning–driven Angular Momentum Inference from BHEX Observations of the n = 1 Photon Ring
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Testing the existence of event horizons against rotating reflecting surfaces
Joost de Kleuver, Thomas Bronzwaer, Heino Falcke, Ramesh Narayan, Yosuke Mizuno, Oliver Porth and Hector Olivares Astronomy & Astrophysics 689 A197 (2024) https://doi.org/10.1051/0004-6361/202348489
Autoencoding Labeled Interpolator, Inferring Parameters from Image and Image from Parameters
Characterization of black hole accretion through image moment invariants
A Jiménez-Rosales, A I Yfantis, M Mościbrodzka and J Dexter Monthly Notices of the Royal Astronomical Society 527(2) 1847 (2023) https://doi.org/10.1093/mnras/stad3233
Using Machine Learning to link black hole accretion flows with spatially resolved polarimetric observables
Richard Qiu, Angelo Ricarte, Ramesh Narayan, George N Wong, Andrew Chael and Daniel Palumbo Monthly Notices of the Royal Astronomical Society 520(4) 4867 (2023) https://doi.org/10.1093/mnras/stad466
Locally Product-like Statistical Manifolds and Their Hypersurfaces
The science case and challenges of space-borne sub-millimeter interferometry
Leonid I. Gurvits, Zsolt Paragi, Ricardo I. Amils, Ilse van Bemmel, Paul Boven, Viviana Casasola, John Conway, Jordy Davelaar, M. Carmen Díez-González, Heino Falcke, Rob Fender, Sándor Frey, Christian M. Fromm, Juan D. Gallego-Puyol, Cristina García-Miró, Michael A. Garrett, Marcello Giroletti, Ciriaco Goddi, José L. Gómez, Jeffrey van der Gucht, José Carlos Guirado, Zoltán Haiman, Frank Helmich, Ben Hudson, Elizabeth Humphreys, et al. Acta Astronautica 196 314 (2022) https://doi.org/10.1016/j.actaastro.2022.04.020
Software and Techniques for VLBI Data Processing and Analysis
Main Curvatures Identities on Lightlike Hypersurfaces of Statistical Manifolds and Their Characterizations
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Black hole weather forecasting with deep learning: a pilot study
Roberta Duarte, Rodrigo Nemmen and João Paulo Navarro Monthly Notices of the Royal Astronomical Society 512(4) 5848 (2022) https://doi.org/10.1093/mnras/stac665
A proof-of-concept neural network for inferring parameters of a black hole from partial interferometric images of its shadow
An Event Horizon Imager (EHI) Mission Concept Utilizing Medium Earth Orbit Sub-mm Interferometry
V KUDRIASHOV, M MARTIN-NEIRA, F ROELOFS, H FALCKE, C BRINKERINK, A BARYSHEV, M HOGERHEIJDE, A YOUNG, H POURSHAGHAGHI, M KLEIN-WOLT, M MOSCIBRODZKA, J DAVELAAR, I BARAT, B DUESMANN, V VALENTA, ARMENGOL J M PERDIGUES, WILDE D DE, IGLESIAS P MARTIN, N ALAGHA and DER VORST M VAN Chinese Journal of Space Science 41(2) 211 (2021) https://doi.org/10.11728/cjss2021.02.211
On lightlike geometry of indefinite Sasakian statistical manifolds