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19982026
most citedStellar disruption by a supermassive black hole: is the light curve really proportional to ?

380 citations · 5.9k across the 169 of their papers we have counts for

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6 papers · 1 filter

astro-ph.GA2025

Observations of AGN-driven feedback: dynamics and ionization of the filaments in M87

Camille Poitras, Marie-Lou Gendron-Marsolais, Valeria Olivares +9

We present a comprehensive kinematic and ionization analysis of the warm ionized filaments ( K) in M87, the central galaxy of the Virgo cluster, using new integral field spec…

astro-ph.GA2025★ 2 cited

LEGA-C stellar populations scaling relations. I: Chemo-archaeological downsizing trends at z~0.7

Anna R. Gallazzi, Stefano Zibetti, Arjen van der Wel +11

We analyze stellar population properties of 552 galaxies at redshift 0.6<z<0.77 from the LEGA-C spectroscopic survey. This first paper in a series presents the catalog of revised a…

astro-ph.GA2025

Euclid Quick Data Release (Q1): Identification of massive galaxy candidates at the end of the Epoch of Reionisation

Euclid Collaboration, R. Navarro-Carrera, K. I. Caputi +295

Probing the presence and properties of massive galaxies at high redshift is one of the most critical tests for galaxy formation models. In this work, we search for galaxies with st…

astro-ph.GA2025

Euclid preparation LXXIX. Using mock low surface brightness dwarf galaxies to probe Euclid Wide Survey detection capabilities

Euclid Collaboration, M. Urbano, P. -A. Duc +313

Local Universe dwarf galaxies can serve as both cosmological and mass assembly probes. Deep surveys have enabled the study of these objects down to the low surface brightness (LSB)…

astro-ph.SR2025

Structure and Dynamics of the Sun's Interior Revealed by Helioseismic and Magnetic Imager

Alexander Kosovichev, Sarbani Basu, Yuto Bekki +43

High-resolution helioseismology observations with the Helioseismic and Magnetic Imager (HMI) onboard Solar Dynamics Observatory (SDO) provide a unique three-dimensional view of the…

cond-mat.mtrl-sci2025★ 14 cited

A Foundational Potential Energy Surface Dataset for Materials

Aaron D. Kaplan, Runze Liu, Ji Qi +6

Accurate potential energy surface (PES) descriptions are essential for atomistic simulations of materials. Universal machine learning interatomic potentials (UMLIPs) offer…