263 citations · 2.5k across the 60 of their papers we have counts for
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Machine learning the gap between real and simulated nebulae: A domain-adaptation approach to classify ionised nebulae in nearby galaxies
Francesco Belfiore, Michele Ginolfi, Guillermo Blanc +8
Classifying ionised nebulae in nearby galaxies is crucial to studying stellar feedback mechanisms and understanding the physical conditions of the interstellar medium. This classif…
Discovery of 2200 new supernova remnants in 19 nearby star-forming galaxies with MUSE spectroscopy
Jing Li, K. Kreckel, S. Sarbadhicary +18
We present the largest extragalactic survey of supernova remnant (SNR) candidates in nearby star-forming galaxies using exquisite spectroscopic maps from MUSE. Supernova remnants e…
The SDSS-V Local Volume Mapper (LVM): Scientific Motivation and Project Overview
Niv Drory, Guillermo A. Blanc, Kathryn Kreckel +48
We present the Sloan Digital Sky Survey V (SDSS-V) Local Volume Mapper (LVM). The LVM is an integral-field spectroscopic survey of the Milky Way, Magellanic Clouds, and of a sample…
SDSS-V Local Volume Mapper (LVM): A Glimpse into Orion
K. Kreckel, O. V. Egorov, E. Egorova +37
The Orion Molecular Cloud complex, one of the nearest (D = 406 pc) and most extensively studied massive star-forming regions, is ideal for constraining the physics of stellar feedb…
Exploring the Mpc Environment of the Quasar ULAS J1342+0928 at z = 7.54
Sofía Rojas-Ruiz, Chiara Mazzucchelli, Steven L. Finkelstein +10
Theoretical models predict that z~6 quasars are hosted in the most massive halos of the underlying dark matter distribution and thus would be immersed in protoclusters of galaxies.…