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19952026
most citedGraph Convolutional Networks for Hyperspectral Image Classification

1.7k citations

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197 papers · 1 filter

astro-ph.CO2025★ 2 cited

Revealing the baryon cycle in Galaxy Clusters: connecting galaxy dynamics and gas thermodynamics using (sub-)mm-wave and optical IFU surveys

Francisco M. Montenegro-Montes, Patricia Sánchez-Blázquez, Tony Mroczkowski +8

Observations in the visible and near infrared are transforming our view of the processes affecting galaxy evolution, much of which is dominated by interactions with the large scale…

astro-ph.GA2025★ 2 cited

NIKA2 Cosmological Legacy Survey. First measurement of the confusion noise at the IRAM 30 m telescope

N. Ponthieu, F. -X. Désert, A. Beelen +54

The NIKA2 Cosmological Legacy Survey (N2CLS) is a large programme using the NIKA2 dual-band camera on the IRAM 30\,m telescope. Its goal is to improve our understanding of the phys…

cond-mat.mes-hall2025

Impact of interdigitated electrodes design on the low frequency and random telegraph noise of single-layer graphene micro ribbons

Georgia Samara, Christoforos Theodorou, Alexandros Mavropoulis +3

High performance devices consisting of interdigitated electrodes (IDEs) on top of single-layer graphene (SLG) are candidates with favorable prospects for sensing applications. Grap…

astro-ph.CO2025

Euclid preparation. Review of forecast constraints on dark energy and modified gravity

Euclid Collaboration, N. Frusciante, M. Martinelli +326

The Euclid mission has been designed to provide, as one of its main deliverables, information on the nature of the gravitational interaction, which determines the expansion of the…

physics.optics2025

High-resolution broadband characterization of resonance dispersion in an optical microresonator

Romain Dalidet, Adrien Bensemhoun, Gregory Sauder +12

Accurate knowledge of the uneven free spectral range of an optical microresonator, which provides direct insight into group velocity dispersion, is essential for understanding and…

astro-ph.IM2025

Euclid Quick Data Release (Q1). From simulations to sky: Advancing machine-learning lens detection with real Euclid data

Euclid Collaboration, N. E. P. Lines, T. E. Collett +301

In the era of large-scale surveys like Euclid, machine learning has become an essential tool for identifying rare yet scientifically valuable objects, such as strong gravitational…