Publications associées à Euclid preparation XLIII. Measuring detailed galaxy morphologies for Euclid with machine learning

Publications associées (14)

Unveiling the Dark Side of Ultraviolet/Optical Bright Galaxies: Optically Thick Dust Absorption

Over the past decades, a population of galaxies invisible in optical/near-infrared (NIR), but bright at longer wavelengths, have been identified through color selections. These so-called optically faint/dark galaxies are considered to be massive quiescent ...

2025

High-resolution predictions of the coolant properties for the 3D PWR core with artificial neural networks based on CTF

Marianna Papadionysiou

PSI and North Carolina State University are developing a high-resolution multi-physics core solver for Pressurized Water Reactor (PWR) analysis in Cartesian geometry, using the neutron transport code nTRACER and two Machine Learning (ML) models providing t ...

2025

Euclid preparation: LXI. Cosmic Dawn Survey: ' Pre-launch' multiwavelength catalogues for Euclid Deep Field North and Euclid Deep Field Fornax

Frédéric Courbin, Georges Meylan

The Cosmic Dawn Survey (DAWN survey) provides multiwavelength (UV/optical to mid-IR) data across the combined 59 deg2 of the Euclid Deep and Auxiliary fields (EDFs and EAFs). In this work, the first public data release from the DAWN survey is presented. Th ...

2025

Drone-Based Urban Traffic Monitoring and User Behavior Prediction

Sohyeong Kim

As urban populations continue to expand and vehicle density increases, the need for effective traffic monitoring and management becomes increasingly critical. Urban areas face significant challenges such as growing congestion, safety concerns, and parking ...

EPFL2025

Causality: fundamental principles and tools

Elise Hélène Dumas

This chapter aims to provide a gentle introduction to Causal Learning (CL), and motivation for its application to medical image analysis, seeking for more robustness against data and domain drifts, and a reliable tool to answer counterfactual questions and ...

Academic Press2025

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

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

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

Do stars still form in molecular gas within CO-dark dwarf galaxies?

Robin Gopala Tress

In the Milky Way and other main-sequence galaxies, stars form exclusively in molecular gas, which is traced by CO emission. However, low-metallicity dwarf galaxies are often 'CO-dark' in the sense that CO emission is not observable even at the high resolut ...

OXFORD UNIV PRESS2024

The formation of supermassive black holes from Population III.1 seeds. III. Galaxy evolution and black hole growth from semi-analytic modelling

Michaela Hirschmann

We present an implementation of Pop III.1 seeding of supermassive black holes (SMBHs) in a theoretical model of galaxy formation and evolution to assess the growth of the SMBH population and the properties of the host galaxies. The model of Pop III.1 seedi ...

OXFORD UNIV PRESS2024

Simulations of cluster ultra-diffuse galaxies in MOND

Oliver Müller

Ultra-diffuse galaxies (UDGs) in the Coma cluster have velocity dispersion profiles that are in full agreement with the predictions of modified Newtonian dynamics (MOND) in isolation. However, the external field effect (EFE) from the cluster seriously unde ...

2024

Tip of the Red Giant Branch Distances with JWST: An Absolute Calibration in NGC 4258 and First Applications to Type Ia Supernova Hosts

Richard Irving Anderson

The tip of the red giant branch (TRGB) allows for the measurement of precise and accurate distances to nearby galaxies based on the brightest ascent of low-mass red giant branch stars before they undergo the helium flash. With the advent of JWST, there is ...

Iop Publishing Ltd2024

JWST Validates HST Distance Measurements: Selection of Supernova Subsample Explains Differences in JWST Estimates of Local H0

Richard Irving Anderson

We cross-check the Hubble Space Telescope (HST) Cepheid/Type Ia supernova (SN Ia) distance ladder, which yields the most precise local H0, against early James Webb Space Telescope (JWST) subsamples (∼1/4 of the HST sample) from SH0ES and CCHP, calibrated o ...

2024

From STEM-EDXS data to phase separation and quantification using physics-guided NMF

Thomas Tim Holvoet, Cécile Hébert, Duncan Thomas Lindsay Alexander, Nathanaël Perraudin, Guillaume Romain Obozinski

We present the development of a new algorithm which combines state-of-the-art energy-dispersive x-ray (EDX) spectroscopy theory and a suitable machine learning formulation for the hyperspectral unmixing of scanning transmission electron microscope EDX spec ...

2024

Hierarchical Training of Deep Neural Networks Using Early Exiting

Pascal Frossard, Liza Carol Andrea Dunbar, Ahmet Caner Yüzügüler, Yamin Sepehri

Deep neural networks (DNNs) provide state-of-the-art accuracy for vision tasks, but they require significant resources for training. Thus, they are trained on cloud servers far from the edge devices that acquire the data. This issue increases communication ...

Ieee-Inst Electrical Electronics Engineers Inc2024

∇2DFT: A Universal Quantum Chemistry Dataset of Drug-Like Molecules and a Benchmark for Neural Network Potentials

Egor Rumiantsev

Methods of computational quantum chemistry provide accurate approximations of molecular properties crucial for computer-aided drug discovery and other areas of chemical science. However, high computational complexity limits the scalability of their applica ...

Neural information processing systems foundation2024