2025 Joint ARGOS-TITAN-TOSCA workshop

Liste des Contributions

1. Introduction

Jean-Luc Starck (CosmoStat, CEA Paris-Saclay)

07/07/2025 10:00

30. Radio weak-lensing shear measurements using deep learning

Priyam Tripathi

07/07/2025 10:20

33. Generative model for shear inference

Ezequiel Centofanti

07/07/2025 10:45

32. A Decentralized Framework for Radio-Interferometric Image Reconstruction

Sunrise Wang

07/07/2025 11:10

A Decentralized Framework for Radio-Interferometric Image Reconstruction
Abstract The advent of large aperture arrays, such as the ones currently under construction for SKAO, allows for observing the Universe in the radio-spectrum at unprecedented resolution and sensitivity. To process the enormous amounts of data produced by these telescopes, scalable software pipelines are required. In this...

29. Plug-and-play weak lensing mass mapping with fast uncertainty quantification

Hubert Leterme (ENSICAEN)

07/07/2025 11:35

In this talk, I will present a plug-and-play (PnP) approach for estimating the dark matter distribution from weak gravitational lensing data, using noisy shear measurements. Our method is designed to provide accurate and efficient mass maps without the need to retrain deep learning models for each new galaxy survey or sky region. Instead, a single model is trained on simulated mass maps...

39. Discussion

07/07/2025 12:00

41. Mass mapping and cosmological inference with higher-order statistics

Andreas Tersenov

07/07/2025 14:30

In this talk, I will present ongoing work toward improving cosmological inference from weak lensing through a synergy of forward modeling, simulation-based inference (SBI), and higher-order statistics. First, I will discuss the impact of mass mapping algorithms on the accuracy and robustness of cosmological parameter estimation. I will then introduce a framework that combines SBI with the BNT...

38. Wavelet l1norm: A Theory-Driven Approach Beyond Two-Point Inference

Vilasini Tinnaneri Sreekanth

07/07/2025 14:55

Weak gravitational lensing is a key cosmological probe of the large-scale matter distribution, yet conventional two-point statistics are insufficient to capture the non-Gaussian features imprinted by nonlinear structure formation. This thesis develops a novel framework based on the wavelet ℓ1-norm to extract higher-order information from weak lensing convergence maps. Leveraging predictions...

28. Deep Denoising and Signal Restoration for Astrophysical Spectral Cubes: From Simulations to Real Data

Arnab Lahiri (FORTH)

07/07/2025 15:20

Spectral cube data obtained from instruments such as ALMA are fundamental for understanding the structures and dynamics of astrophysical objects. However, noise, beam convolutions, and other artifacts can mask important astrophysical features. This is more evident in high-redshift observations as large cosmological distances, high levels of noise and lower resolution beams may hinder signal...

31. Update

Grigorios Tsagkatakis

07/07/2025 15:45

40. Discussions

07/07/2025 16:10

34. Inertial Non-Convex Optimization Algorithms Meet Neural Network-Based Inverse Problems

Jalal Fadili (ENSICAEN)

08/07/2025 10:00

In this talk, I will focus on non-convex minimization problems via inertial second-order (in-time) dynamics and how they can prove valuable when solving inverse problems with neural network-based methods.
I will first discuss several theoretical and practical issues fo these algorithms, including convergence, convergence rates and trap avoidance properties.
I will then turn to discussing how...

35. Detection of Fast Radio Bursts using hybrid neural architecture

Sara El Bouch (OCA)

08/07/2025 10:30

FRBs-millisecond-duration radio pulses from distant galaxies-offer unique insights but remain challenging to detect due to overwhelming radio frequency interference. Traditional detection methods and conventional machine learning techniques struggle with extreme class imbalance and data volume challenges. Our solution treats FRB detection as an open-set anomaly detection problem, leveraging a...

37. UNIONS: First Cosmic Shear Constraints from 3000 deg² of Northern Sky

Cail Daley (CEA)

08/07/2025 11:00

The Ultraviolet Near-Infrared Optical Northern Survey (UNIONS) is a multi-band optical survey that will cover over 4800 deg² of northern sky. Combining data from three wide-field Hawaiian telescopes (CFHT, Pan-STARRS, and Subaru), UNIONS' sky coverage and excellent image quality makes it an ideal dataset for weak lensing studies, providing cosmological constraints that are both independent of...

36. Euclid mission

Valeria Pettorino (ESA)

08/07/2025 12:00

25. Learnlet for component separation of noisy data

Dr Victor Bonjean (FORTH)

08/07/2025 14:30

21 cm data analysis

26. Foreground cleaning strategies for HI 21 cm signal extraction

Dr Sia Gkogkou (FORTH)

08/07/2025 14:55

21 cm data analysis

Neutral hydrogen (HI) intensity mapping is a powerful probe of cosmological parameters, the epoch of reionization, and the dark ages. However, extracting the HI signal is challenging due to astrophysical foregrounds that are over four orders of magnitude stronger. This work evaluates various blind source separation and fitting methods for reconstructing the HI signal under different telescope...

27. Higher order statistics for HI intensity mapping

Pauline Gorbatchev

08/07/2025 15:20

21 cm data analysis

Retour à l'événement