Publications de Jean-Paul Richard Kneib

Radio halo detection in MWA data using deep neural networks and generative data augmentation

Jean-Paul Richard Kneib, Emma Elizabeth Tolley

Detecting diffuse radio emission, such as from haloes, in galaxy clusters is crucial for understanding large-scale structure formation in the universe. Traditional methods, which rely on X-ray and Sunyaev-Zeldovich (SZ) cluster pre-selection, introduce bia ...

OXFORD UNIV PRESS2025

S-R2D2: a spherical extension of the R2D2 deep neural network series paradigm for wide-field radio-interferometric imaging

Jean-Philippe Thiran, Jean-Paul Richard Kneib, Emma Elizabeth Tolley

Recently, the R2D2 paradigm, standing for ‘Residual-to-Residual DNN series for high-Dynamic-range imaging’, was introduced for image formation in Radio Interferometry (RI) as a learned version of the traditional algorithm CLEAN. The first incarnations of R ...

Oxford University Press (OUP)2025

A method for asteroid detection using convolutional neural networks on VST images

Mathieu Salzmann, Jean-Paul Richard Kneib, Elisabeth Andréa Cécile Rachith, Stephan Hellmich

Context. The study of asteroids, particularly near-Earth asteroids, is key to gaining insights into our Solar System and can help prevent dangerous collisions. Beyond finding new objects, additional observations of known asteroids will improve our knowledg ...

2025

Euclid: Early Release Observations – Programme overview and pipeline for compact- and diffuse-emission photometry

Georges Meylan, Frédéric Courbin, Pascale Jablonka, Jean-Paul Richard Kneib

The Euclid Early Release Observations (ERO) showcase Euclid’s capabilities in advance of its main mission by targeting 17 astronomical objects, including galaxy clusters, nearby galaxies, globular clusters, and star-forming regions. A total of 24 hours of ...

2025

Swiss Space Sustainability Research Days 2025 - Book of Abstracts

Jean-Paul Richard Kneib, Elisabeth Andréa Cécile Rachith, Thibault Antoine Marie Joseph Ghesquière-Diérickx, Emmanuelle Brigitte Marie David, Carolyn Marie Crichton, Stephan Hellmich

The first Swiss Space Sustainability Research Days, held from January 6–8, 2025, in Les Diablerets, brought together over 50 experts from Swiss research institutions and industry. Participants explored key topics including the environmental impact of space ...

2025

Deep Learning to Improve the Discovery of Near-earth Asteroids in the Zwicky Transient Facility

Mathieu Salzmann, Jean-Paul Richard Kneib, Belén Yu Irureta-Goyena Chang

We present a novel pipeline that uses a convolutional neural network (CNN) to improve the detection capability of near-Earth asteroids (NEAs) in the context of planetary defense. Our work aims to minimize the dependency on human intervention of the current ...

IOP Publishing Ltd2025

Euclid: Early Release Observations – A preview of the Euclid era through a galaxy cluster magnifying lens

Georges Meylan, Frédéric Courbin, Jean-Paul Richard Kneib

We present the first analysis of the Euclid Early Release Observations (ERO) program that targets fields around two lensing clusters, Abell 2390 and Abell 2764. We use imaging data from the Visible instrument (VIS) and the Near-Infrared Spectrometer and Ph ...

2025

ELG spectroscopic systematics analysis of the DESI Data Release 1

Jean-Paul Richard Kneib, Jiaxi Yu, Daniel Felipe Forero Sanchez

Dark Energy Spectroscopic Instrument (DESI) uses more than 2.4 million Emission Line Galaxies (ELGs) for 3D large-scale structure (LSS) analyses in its Data Release 1 (DR1). Such large statistics enable thorough research on systematic uncertainties. In thi ...

IOP Publishing Ltd2025

Euclid I. Overview of the Euclid mission

Yves Revaz, Georges Meylan, Frédéric Courbin, Pascale Jablonka, Jean-Paul Richard Kneib, Austin Chandler Peel, Michaela Hirschmann, Lucie Anemone Scharré

The current standard model of cosmology successfully describes a variety of measurements, but the nature of its main ingredients, dark matter and dark energy, remains unknown. Euclid is a medium-class mission in the Cosmic Vision 2015–2025 programme of the ...

2025

Space sustainability rating: Designing a composite indicator to incentivize satellite operators to pursue long-term sustainability of the space environment

Jean-Paul Richard Kneib, Emmanuelle Brigitte Marie David

The rapid growth in satellite deployments, particularly with the emergence of large constellations, has amplified concerns over the sustainability of the orbital environment. Space mission operators can utilize different mechanisms during the design and op ...

2025

Fostering multi-stakeholder collaboration for space sustainability through an incentive-based mechanism

Jean-Paul Richard Kneib, Emmanuelle Brigitte Marie David

The proliferation of debris in the space environment, congesting the Low Earth Orbit (LEO), constitutes a major challenge to the safety and sustainability of space missions and operations. Policy makers at the national, regional and international levels ar ...

2025

BIPP: An efficient HPC implementation of the Bluebild algorithm for radio astronomy

Sepand Kashani, Michele Bianco, Matthieu Martin Jean-André Simeoni, Jean-Paul Richard Kneib, Emma Elizabeth Tolley

The Bluebild algorithm is a new technique for image synthesis in radio astronomy which decomposes the sky into distinct energy levels using functional principal component analysis. These levels can be linearly combined to construct a least-squares estimate ...

2025

Quantum radio astronomy: Data encodings and quantum image processing

Jean-Paul Richard Kneib, Emma Elizabeth Tolley, Stefano Corda

We explore applications of quantum computing for radio interferometry and astronomy using recent developments in quantum image processing. We evaluate the suitability of different quantum image representations using a toy quantum computing image reconstruc ...

Elsevier2024

The stability of deep learning for 21cm foreground removal across various sky models and frequency-dependent systematics

Michele Bianco, Jean-Paul Richard Kneib, Daniel Felipe Forero Sanchez, Emma Elizabeth Tolley

Deep learning (DL) has recently been proposed as a novel approach for 21cm foreground removal. Before applying DL to real observations, it is essential to assess its consistency with established methods, its performance across various simulation models, an ...

2024

Investigations on assembly and coverage for modular focal planes of multiplexed telescopes

Jean-Paul Richard Kneib, Malak Mohamed Hossameldeen Omar Mohamed Galal

Multiplexed surveys have the ambition to grow larger for the next generation of focal plane instruments.Future projects such as Spec-S5, MUST, and WST have an ever-growing need for multi-object spectroscopy (13,000-20,000 simultaneous objects) which demand ...

SPIE2024

The DESI One-Percent Survey: exploring a generalized SHAM for multiple tracers with the UNIT simulation

Jean-Paul Richard Kneib, Jiaxi Yu, Cheng Zhao

We perform SubHalo Abundance Matching (SHAM) studies on UNIT simulations with {sigma, V-ceil, v(smear)}-SHAM and {sigma, V-ceil, f(sat)}-SHAM. They are designed to reproduce the clustering on 5-30 h(-1) Mpc of luminous red galaxies (LRGs), emission-line ga ...

Oxford Univ Press2024

pyC 2 Ray: A flexible and GPU-accelerated radiative transfer framework for simulating the cosmic epoch of reionization

Michele Bianco, Jean-Paul Richard Kneib

Detailed modeling of the evolution of neutral hydrogen in the intergalactic medium during the Epoch of Reionization, 5≤z≤20, is critical in interpreting the cosmological signals from current and upcoming 21-cm experiments such as the Low-Frequency Array (L ...

2024

A novel pattern language method for tradespace exploration: application to space mission architecting

Jeffrey Huang, Anne-Marlene Rüede, Jean-Paul Richard Kneib

With the growing complexity of systems across diverse domains, key challenges emerge in simultaneously designing networks and their underlying infrastructure, requiring resolution at concept stage. In space mission design, technological advancements and am ...

2024

WST - Widefield Spectroscopic Telescope: Motivation, science drivers and top-level requirements for a new dedicated facility

Jean-Paul Richard Kneib, Richard Irving Anderson

In this paper, we describe the wide-field spectroscopic survey telescope (WST) project. WST is a 12-metre wide-field spectroscopic survey telescope with simultaneous operation of a large field-of-view (3 sq. degree), high-multiplex (20,000) multi-object sp ...

SPIE2024

WST - Widefield Spectroscopic Telescope: addressing the instrumentation challenges of a new 12m class telescope dedicated to widefield Multi-object and Integral Field Spectroscopy

Jean-Paul Richard Kneib, Ricardo Jorge Araùjo Pereira

WST - Widefield Spectroscopic Telescope: We summarise the design challenges of instrumentation for a proposed 12m class Telescope that aims to provide a large (>2.5 square degree) field of view and enable simultaneous Multi-object (> 20,000 objects) and In ...

SPIE2024