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Dust reverberation mapping of 0.3 ≤ z ≤ 0.8 AGN with UltraVISTA: lessons for future large surveys
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Identification of problematic epochs in astronomical time series through transfer learning
Stefano Cavuoti, Demetra De Cicco, Lars Doorenbos, Massimo Brescia, Olena Torbaniuk, Giuseppe Longo and Maurizio Paolillo Astronomy & Astrophysics 687 A246 (2024) https://doi.org/10.1051/0004-6361/202450166
VarIabiLity seLection of AstrophysIcal sources iN PTF (VILLAIN)
Dwarf AGNs from Optical Variability for the Origins of Seeds (DAVOS): insights from the dark energy survey deep fields
Colin J Burke, Xin Liu, Yue Shen, Kedar A Phadke, Qian Yang, Will G Hartley, Ian Harrison, Antonella Palmese, Hengxiao Guo, Kaiwen Zhang, Richard Kron, David J Turner, Paul A Giles, Christopher Lidman, Yu-Ching Chen, Robert A Gruendl, Ami Choi, Alexandra Amon, Erin Sheldon, M Aguena, S Allam, F Andrade-Oliveira, D Bacon, E Bertin, D Brooks, et al. Monthly Notices of the Royal Astronomical Society 516(2) 2736 (2022) https://doi.org/10.1093/mnras/stac2262
Lenses In VoicE (LIVE): searching for strong gravitational lenses in the VOICE@VST survey using convolutional neural networks
Fabrizio Gentile, Crescenzo Tortora, Giovanni Covone, et al. Monthly Notices of the Royal Astronomical Society 510(1) 500 (2021) https://doi.org/10.1093/mnras/stab3386
Variability and transient search in the SUDARE–VOICE field: a new method to extract the light curves
Fabio Ragosta, Giuliano Pignata, Maurizio Paolillo, et al. Monthly Notices of the Royal Astronomical Society 493(3) 3825 (2020) https://doi.org/10.1093/mnras/staa558
Galaxy optical variability of Virgo cluster: new tracer for environmental influences on galaxies
Fan Yang, Richard J Long, Su-Su Shan, Jun-Qiang Ge, Rui Guo, Bo Zhang, Jing-Hua Gao, Xiang Ji and Ji-Feng Liu Monthly Notices of the Royal Astronomical Society: Letters 496(1) L59 (2020) https://doi.org/10.1093/mnrasl/slaa083
Extending the variability selection of active galactic nuclei in the W-CDF-S and SERVS/SWIRE region
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Robust identification of active galactic nuclei through HST optical variability in GOODS-S: comparison with the X-ray and mid-IR-selected samples★
E Pouliasis, I Georgantopoulos, A Z Bonanos, et al. Monthly Notices of the Royal Astronomical Society 487(3) 4285 (2019) https://doi.org/10.1093/mnras/stz1483
The KMOS3D Survey: Demographics and Properties of Galactic Outflows at z = 0.6–2.7*
N. M. Förster Schreiber, H. Übler, R. L. Davies, R. Genzel, E. Wisnioski, S. Belli, T. Shimizu, D. Lutz, M. Fossati, R. Herrera-Camus, J. T. Mendel, L. J. Tacconi, D. Wilman, A. Beifiori, G. B. Brammer, A. Burkert, C. M. Carollo, R. I. Davies, F. Eisenhauer, M. Fabricius, S. J. Lilly, I. Momcheva, T. Naab, E. J. Nelson, S. H. Price, et al. The Astrophysical Journal 875(1) 21 (2019) https://doi.org/10.3847/1538-4357/ab0ca2
Genoveva Micheva, Ikuru Iwata and Akio K. Inoue Monthly Notices of the Royal Astronomical Society 465(1) 302 (2017) https://doi.org/10.1093/mnras/stw1329
D. De Cicco, S. Falocco, M. Paolillo, et al. Astrophysics and Space Science Proceedings, The Universe of Digital Sky Surveys 42 269 (2016) https://doi.org/10.1007/978-3-319-19330-4_42
S. Falocco, D. De Cicco, M. Paolillo, et al. Astrophysics and Space Science Proceedings, The Universe of Digital Sky Surveys 42 275 (2016) https://doi.org/10.1007/978-3-319-19330-4_43
Gravitational lensing analysis of the Kilo-Degree Survey
Konrad Kuijken, Catherine Heymans, Hendrik Hildebrandt, et al. Monthly Notices of the Royal Astronomical Society 454(4) 3500 (2015) https://doi.org/10.1093/mnras/stv2140